Bibliometric analyses of COVID-19 research

Applications for the bibliometric Co-occurrence analysis:

Offers an overview of:
- the structure of topics investigated,
- the relative focus, as measured by the number of occurrences, shown as the size of nodes.
- The different colors indicate different general research foci.
Identifying the most relevant search terms.
- The keywords in the map are those commonly used by article authors, with differences across the research areas. Identifying the most relevant terms can help narrow the search to the most relevant articles.

To access the interactive map, you need to open the graph in VosViewer, which allows you to search the map, see what keywords are connected, and the strength of the connection between each node in the graph diagram. To open the map in VosViewer, Please click here, and allow it to download, then open the file and allow Java to run. For a video demonstration of how to do this, please see here.

For more information about what a bibliometric keyword co-occurrence analysis is, please see the About page. The data is downloaded from PubMed.

Insights and trends

Some insights from the weekly bibliometric keyword co-occurrence analyses conducted since March 2020 include that there has been a very rapid increase in COVID-19 literature. From 992 on March 16th, when we initiated this project, to over 50 000 now. Below we refer to some insights and trends. For more details, please read the individual blog posts.

Early in the pandemic, the research focus, based on 1323 publications on March 23rd, was on topics within “Health and pandemic management,” “The disease and its pathophysiology,” “Clinical epidemiology of the disease,” and “Treatment of the disease”. Please see the preprint for a more detailed description

About a month later, on April 20th, the number of publications had increased with 395%; to 5228. Moreover, the research landscape had changed somewhat. The topics studied can be described as 1) «A global virus pandemic» including topics within “preventive epidemiology” and “care management.” 2) “Disease epidemiology,” 3) “Pathophysiology and origin,” including topics within “viral biology” and “drug treatment”, 4) “Clinical epidemiology”, and 5) a fifth cluster includes topics on mental health and attitudes. The topic of mental health starts to emerge as a research focus within the COVID-19 pandemic research. During March and April, several countries have introduced strict social distancing measures to reduce the spread of the covid-19 virus. New research focuses on how the pandemic affects people’s mental health and feelings of isolation and loneliness. For more details, click here

On July 23rd, the focus of the most recent literature was on 1) Public health strategies, treatment, and the global impact of COVID-19, 2) the role of existing drugs and vaccines in the current pandemic, 3) demographics and risk factors, 4) literature concentrated on understanding the nature of the virus, and 5) COVID-19 and mental health. For more details, check out this post

For an illustration of the change in research trends across the very early stages of the pandemic and later stages, please see our post from September 23rd 2020: Click here

Growth in number of documents by month:

Date	Nr. of docs in PubMed
2020
16th March	992
6th April	2684
4th May	8791
1st June	17356
6th July	28256
3rd August	36201
7th September	48067
5th October	56023
2nd November	64184
4th December	74801
2021
3rd January	87286
7th February	97147
7th March	106888
7th April	116545
2nd May	125521
6th June	136870
4th July	146730
2nd August	154918
5th September	165638
3rd October	174892
7th November	185423
5th December	194349
2022
2nd January	202962
6th February	213578
6th March	222742
3rd April	231268

Keyword Co-Occurrence Network Graph of the COVID-19 literature published during March 2022

by Ingunn Olea Lund | Apr 3, 2022 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from March 6thto April 3rd, 2022.

The analysis is based on 8526 publications, which gave 1059 keywords that appear in 5 or more manuscripts, divided into 7 clusters.

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from April 2022, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

In the table below, we have listed the 20 most central keywords in each cluster.

Cluster 1	Cluster 2	Cluster 3	Clutster 4	Cluster 5	Cluster 6	Cluster 7
adolescent	hospitalization	animals	public health	covid-19 vaccines	rna, viral	pregnancy
children	risk factor	spike glycoprotein, coronavirus	telemedicine	vaccination	covid-19 testing	infant
mental health	mortality	antibodies, viral	epidemiology	vaccine	machine learning	breastfeeding
anxiety	inflammation	antibodies, neutralizing	social media	bnt162 vaccine	deep learning	pregnancy complications, infectious
communicable disease control	aged, 80 and over	mice	infectious diseases	vaccines, synthetic	artificial intelligence	infectious disease transmission, vertical
depression	cytokines	ace2	delivery of health care	vaccine hesitancy	diagnosis	milk, human
stress	incidence	antibody	ethnicity	mrna vaccines	ct	magnetic resonance imaging
health personnel	infection	immunity	policy	viral vaccines	world health organization	women
students	biomarkers	antiviral agents	health policy	influenza, human	algorithms	brain
attitude	intensive care units	lung	communication	rna, messenger	nucleic acid amplification techniques	tertiary care centers
disease outbreaks	obesity	immunoglobulin g	epidemic	neoplasms	real time polymerase chain reaction	mothers
lockdown	vitamin d	viruses	infection control	vaccination hesitancy	saliva	placenta
quality of life	severity of illness index	molecular docking simulation	patient acceptance of health care	cancer	bayes theorem	cesarean section
exercise	pneumonia	mutation	technology	time factors	screening	guidelines
quarantine	hospitals	antibodies, monoclonal	ethics	hiv	molecular diagnostic techniques	lactation
prevalence	age factors	omicron	social determinants of health	hiv infections	nasopharynx	smell
physical activity	critical care	seroepidemiologic studies	ontario	chadox1 ncov-19	smartphone	blood pressure
health knowledge, attitudes, practice	treatment outcome	neutralization tests	primary care	vaccine efficacy	reverse transcription polymerase chain reaction	postpartum
universities	respiration, artificial	protein binding	trust	myocarditis	biosensing techniques	obstetrics
health care	comorbidity	viral load	contact tracing	influenza vaccines	point-of-care systems	asymptomatic infections

Keyword Co-Occurrence Network Graph of the COVID-19 literature published during August 2021

by Ingunn Olea Lund | Sep 6, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from August 2^ndto September 5th.

The analysis is based on 10720 publications, which gave 1288 keywords that appear in 5 or more manuscripts, that divide into 5 clusters.

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from September, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

In the table below, we have listed the 20 most central keywords in each cluster.

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
adolescent	risk factor	animals	covid-19 testing	covid-19 vaccines
children	aged, 80 and over	antibodies, viral	rna, viral	vaccination
mental health	infant	spike glycoprotein, coronavirus	viruses	vaccine
public health	severity of illness index	ace2	covid-19 nucleic acid testing	immunogenicity, vaccine
anxiety	inflammation	antibodies, neutralizing	nasopharynx	vaccine hesitancy
communicable disease control	hospitalization	antiviral agents	real time polymerase chain reaction	safety
depression	pregnancy	chlorocebus aethiops	algorithms	influenza, human
health personnel	time factors	immunoglobulin g	machine learning	healthcare workers
stress	mortality	mice	respiratory infections	vaccines, synthetic
telemedicine	prevalence	vero cells	zoonosis	influenza vaccines
epidemiology	treatment outcome	cytokines	diagnosis	immunocompromised host
disease outbreaks	comorbidity	virus replication	deep learning	vaccines, inactivated
quarantine	intensive care units	lung	specimen handling	immunization
students	prognosis	mutation	saliva	adaptive immunity
lockdown	age factors	protein binding	polymerase chain reaction	patient safety
exercise	biomarkers	antibody	mass screening	myocarditis
quality of life	risk assessment	viral load	transmission	practice guidelines as topic
health policy	hospital mortality	molecular docking simulation	laboratory	immunity, herd
infectious diseases	infection	spike protein	artificial intelligence	mass vaccination
infection control	ct	antibodies, monoclonal	air pollution	influenza

Keyword Co-Occurrence Network Graph of the COVID-19 literature as of August 2021

by Ingunn Olea Lund | Aug 2, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from July 4^th to August 2^nd.

The analysis is based on 8188 publications, which gave 897 keywords that appear in 5 or more manuscripts, that divide into 7 clusters.

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from August, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5	Cluster 6	Cluster 7
adolescent	animals	risk factor	public health	covid-19 vaccines	rna, viral	pregnancy
children	ace2	aged, 80 and over	epidemiology	vaccination	covid-19 testing	cardiovascular diseases
anxiety	inflammation	hospitalization	health personnel	vaccine	real time polymerase chain reaction	pregnancy complications, infectious
mental health	spike glycoprotein, coronavirus	mortality	health policy	antibody	covid-19 nucleic acid testing	elderly
depression	antibodies, viral	severity of illness index	infectious diseases	cancer	nasopharynx	health care
communicable disease control	antiviral agents	prognosis	viruses	thrombosis	saliva	modeling
infant	cytokines	intensive care units	infection control	healthcare workers	covid-19 serological testing	immune system
stress	antibodies, neutralizing	time factors	infection	vaccine hesitancy	mass screening	infectious disease transmission, vertical
telemedicine	mice	comorbidity	respiratory infections	safety	immunoassay	placenta
lockdown	lung	biomarkers	global health	diagnosis	specimen handling	premature birth
disease outbreaks	immunity	risk assessment	socioeconomic factors	serology	rna	cesarean section
quarantine	antibodies, monoclonal	treatment outcome	delivery of health care	treatment	antigens, viral	ontario
exercise	chlorocebus aethiops	age factors	policy	immunology	reverse transcription polymerase chain reaction	wound healing
attitude	vero cells	hospital mortality	communication	neoplasms	early diagnosis	pathology
quality of life	cytokine release syndrome	obesity	zoonosis	myocarditis	screening	neurology

Keyword Co-Occurrence Network Graph of the COVID-19 literature as of July 2021

by Njal | Jul 15, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from June 7 to July 4th.

The analysis is based on 9860 publications, which gave 1241keywords that appear in 5 or more manuscripts, that divide into 6 cluster.

Cluster 1			Cluster 2			Cluster 3
Keyword	Weighted degree	Occurrence	Keyword	Weighted degree	Occurrence	Keyword	Weighted degree	Occurrence
adolescent	234	1164	risk factor	191	949	public health	229	707
children	256	1052	aged, 80 and over	136	852	telemedicine	213	463
anxiety	219	787	severity of illness index	124	841	epidemiology	124	362
communicable disease control	163	719	hospitalization	121	696	covid-19 testing	84	330
mental health	233	713	mortality	173	511	infection control	61	274
depression	186	683	comorbidity	74	469	health policy	59	249
health personnel	128	513	inflammation	101	411	infection	66	197
stress	126	503	treatment outcome	76	402	infectious diseases	79	191
prevalence	89	370	biomarkers	72	382	hospitals	48	190
quarantine	91	324	incidence	81	381	delivery of health care	50	189
physical distancing	55	259	intensive care units	77	373	health services accessibility	34	183
disease outbreaks	57	250	prognosis	77	373	global health	51	176
healthcare workers	74	228	age factors	45	348	personal protective equipment	56	152
students	51	214	hospital mortality	44	314	primary healthcare	30	135
lockdown	109	203	risk assessment	41	263	healthcare disparities	25	127


Cluster 4			Cluster 5			Cluster 6
Keyword	Weighted degree	Occurrence	Keyword	Weighted degree	Occurrence	Keyword	Weighted degree	Occurrence
animals	146	1033	covid-19 vaccines	226	877	machine learning	48	118
antibodies, viral	94	640	vaccination	225	724	cities	27	108
spike glycoprotein, coronavirus	95	630	vaccine	240	652	air pollution	23	81
antiviral agents	93	580	infant	71	385	algorithms	21	78
ace2	122	550	pregnancy	120	385	artificial intelligence	29	74
rna, viral	70	369	viruses	65	222	air pollutants	15	69
chlorocebus aethiops	37	352	epidemic	66	186	deep learning	39	66
vero cells	35	329	zoonosis	34	161	particulate matter	15	66
antibodies, neutralizing	41	325	models, theoretical	30	151	environmental monitoring	10	51
immunoglobulin g	44	313	immunity	34	133	neural networks, computer	7	36
cytokines	62	304	immune response	36	126	beijing	7	32
antibody	78	293	respiratory infections	29	126	prediction	10	28
lung	60	279	influenza, human	27	120	transportation	10	28
host pathogen interaction	36	263	influenza	27	100	radiography, thoracic	6	27
real time polymerase chain reaction	59	249	pregnancy complications, infectious	19	85	radiology	9	23

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from March, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of COVID-19 and substance use research

by Ingunn Olea Lund | Jun 9, 2021 | CoOccurrence

In this post, we present research on substance use in a COVID-19 setting. The results are based on publications registered in PubMed as published from January 1^st, 2020, to June 5^th, 2021.

The analysis of all research including covid-19 terms, AND substance use-related terms in title or abstract in PubMed from January 1^st, 2020 to June 5^th, 2021, is based on 2243 articles, which gave 510 keywords that appear in 5 or more manuscripts, that divided into 5 clusters.

The red cluster could be called “risk factors.” It includes four main topics: a) comorbidity, underlying diseases, hospitalization, and treatment. b) age factors and how taste and smell may be affected. C) risk assessments and time factors, and d) a small cluster on pain and pain management.

The green cluster could be called “substance use disorders.” This cluster includes two main topics: a) opioid-related disorders and treatment of this with, e.g., methadone and buprenorphine. Telemedicine, prevention, and harm reduction are also central to this topic. b) Another topic is public health.

The yellow cluster could be called “smoking.” It includes one main topic: research on smoking nicotine, e-cigarettes, lungs, and inflammation.

The purple cluster could be called “mental health and health behaviors.” It includes two main topics: a) research on mental health, including anxiety and depression, stress, and psychological adaptation. b) A second cluster includes research on quarantine and lockdown, social isolation and loneliness, and different lifestyle factors and health behaviors such as exercise, sleep, alcohol use, diet.

The blue cluster could be called “alcohol and infection control.” The cluster includes four main topics: a) epidemiology and infectious diseases, outbreaks and testing, b) research on preventative measures such as the use of hand sanitizers and masks. c) A third topic is on hospitals, including both health care personnel and patients. d) alcohol in relation to infectious disease control and public policy.

The search: title/abstracts that included any of the following:

COVID-19,
SARS-CoV-2,
severe acute respiratory syndrome
coronavirus 2,
2019 novel coronavirus
2019-nCoV

AND any of the following:

alcohol,
tobacco,
smoking,
snus,
opioid,
opiate,
methadone,
buprenorphine,
cannabis,
amphetamine,
methamphetamine,

nicotine,
cocaine,
ecstasy,
MDMA,
hash,
heroin,
kratom,
hallucinogen,
GHB,
inhalants,
ketamine,
marijuana,
khat,
synthetic cathinone,

benzodiazepine,
z-hypnotic,
cannabinol,
LSD,
snuff,
pcp,
thc,
anabolic steroid,
narcotic,
depressants,
illicit substance,
illegal substance,
psychoactive drug.

In the table below, we have listed the 20 most central keywords in each cluster.

Red cluster	Green cluster	Blue cluster	Yellow cluster	Purple cluster
risk factor	opioid-related disorders	alcohol	smoking	adolescent
comorbidity	telemedicine	communicable disease control	children	mental health
aged, 80 and over	public health	health personnel	electronic nicotine delivery systems	alcohol use
hospitalization	substance-related disorders	epidemiology	angiotensin-converting enzyme 2	anxiety
severity of illness index	analgesics, opioid	socioeconomic factors	tobacco	depression
age factors	health services accessibility	infection control	lung	quarantine
mortality	buprenorphine	disinfection	inflammation	prevalence
prognosis	opiate substitution treatment	hand sanitizers	animals	lockdown
sex factors	opioid use disorder	social media	vaping	alcohol use disorder
obesity	smoking cessation	hand hygiene	ace2	stress, psychological
diabetes mellitus	opioids	ethanol	nicotine	exercise
cardiovascular diseases	cannabis	covid-19 testing	child, preschool	social isolation
hypertension	substance use	emergency service, hospital	antiviral agents	health behavior
treatment outcome	delivery of health care	global health	infant	life style
risk assessment	narcotic antagonists	hand disinfection	peptidyl-dipeptidase a	stress
incidence	harm reduction	health knowledge, attitudes, practice	smokers	diet
respiration, artificial	mental disorders	masks	sars	physical activity
hospital mortality	methadone	disease outbreaks	tobacco smoking	feeding behavior
intensive care units	drug overdose	health status	cigarette smoking	lifestyle
pulmonary disease, chronic obstructive	health policy	personal protective equipment	cytokines	sleep

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files on CovidSubstanceUse saved in June 2021, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the COVID-19 literature as of May 2021

by Njal | May 27, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from April 5th to May 2nd, as well as all articles published up to this date.

The analysis of all research in PubMed up to 2nd May, is based on 125 521 pulications, which gave 4160 keywords that appear in 10 or more manuscripts, that divide into 6 cluster.

The first four clusters are reasonably similar in size, while cluster 5 is about 60% of the size of cluster 1, and cluster six only has 24 terms.

	Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5	Cluster 6
Nr. terms in cluster	1020	909	824	802	581	24
	sars	risk factor	public health	telemedicine	children	anosmia
	animals	aged, 80 and over	china	infection control	adolescent	recovery
	infection	retrospective studies	united states	personal protective equipment	cross-sectional studies	smell
	antiviral agents	hospitalization	infectious diseases	delivery of health care	quarantine	olfaction disorders
	inflammation	mortality	epidemiology	prevention	surveys and questionnaires	ageusia
	viruses	comorbidity	disease outbreaks	masks	mental health	dysgeusia
	vaccine	severity of illness index	communicable disease control	neoplasms	stress	taste
	clinical laboratory techniques	pneumonia	time factors	cancer	health personnel	hyposmia
	ace2	risk assessment	global health	safety	pregnancy	taste disorders
	hydroxychloroquine	treatment outcome	covid-19 vaccines	practice guidelines as topic	infant	symptom
	cytokines	intensive care units	health policy	hospitals	anxiety	olfaction
	antibodies, viral	critical care	united kingdom	pediatrics	child, preschool	olfactory dysfunction
	spike glycoprotein, coronavirus	prognosis	covid-19 testing	ambulatory care	depression	olfactory
	treatment	prospective studies	epidemic	cross infection	prevalence	allergic rhinitis
	rna, viral	lung	india	education	lockdown	epidemiological
	diagnosis	age factors	incidence	emergency service, hospital	spain	smell loss
	mers	cohort studies	vaccination	triage	social distancing	rhinitis
	cytokine storm	biomarkers	physical distancing	primary healthcare	social isolation	gustatory dysfunction
	angiotensin-converting enzyme 2	diabetes mellitus	brazil	infectious disease transmission, patient-to-professional	healthcare workers	olfactory bulb
	respiratory infections	respiration, artificial	communication	patient safety	quality of life	taste loss

For the month of April 2021:

During this time, there were 8976 publications, and 503 keywords occurred in ten or more manuscripts. The keywords divided into 5 clusters. To create the map, we used the LinLog method.

In the table below, we have listed the 10 most central keywords in each cluster.

	Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5	Cluster 6
Nr. terms in cluster	133	128	114	91	31	6
	aged, 80 and over	cross-sectional studies	covid-19 vaccines	animals	adolescent	air pollution
	retrospective studies	surveys and questionnaires	public health	antibodies, viral	children	particulate matter
	risk factor	communicable disease control	vaccination	antiviral agents	infant	air pollutants
	hospitalization	mental health	vaccine	spike glycoprotein, coronavirus	child, preschool	environmental monitoring
	china	anxiety	covid-19 testing	covid-19 nucleic acid testing	united states	temperature
	comorbidity	depression	epidemiology	angiotensin-converting enzyme 2	pregnancy	air quality
	severity of illness index	health personnel	incidence	rna, viral	socioeconomic factors
	age factors	quarantine	disease outbreaks	immunoglobulin g	health status disparities
	intensive care units	telemedicine	global health	covid-19 serological testing	schools
	inflammation	stress, psychological	physical distancing	antibody	pregnancy complications, infectious
	mortality	lockdown	health policy	coronavirus infection	ethnic groups
	prospective studies	spain	india	sensitivity and specificity	social determinants of health
	cohort studies	health knowledge, attitudes, practice	infection control	antibodies, neutralizing	systemic inflammatory response syndrome
	time factors	exercise	viruses	sars	infectious disease transmission, vertical
	prognosis	stress	infectious diseases	seroepidemiologic studies	republic of korea

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from March, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the COVID-19 literature March 8th to April 4th

by Njal | May 3, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from March 8th to April 4th. During this time, there were 9653 publications, and 637 keywords occurred in ten or more manuscripts. The keywords divided into 5 clusters. To create the map, we used the LinLog method.

In the table below, we have listed the 10 most central keywords in each cluster.

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
Aged, 80 and over	Cross-sectional studies	Covid-19 vaccines	Animals	Adolescent
Risk factor	Surveys and questionnaires	United States	Antibodies, viral	Children
Retrospective studies	Communicable disease control	Public health	Antiviral agents	Child, preschool
Hospitalization	Anxiety	Covid-19 testing	Spike glycoprotein, coronavirus	Infant
Severity of illness index	Mental health	Telemedicine	Lung	Pregnancy
Comorbidity	Quarantine	Epidemiology	Antibodies, neutralizing	Schools
Age factors	China	United Kingdom	Immunoglobulin g	Age distribution
Cohort studies	Depression	Vaccination	Angiotensin-converting enzyme 2	Pregnancy complications, infectious
Treatment outcome	Health personnel	Disease outbreaks	RNA, viral	Systemic inflammatory response syndrome
Prospective studies	Italy	Time factors	Covid-19 nucleic acid testing	Family characteristics

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from March, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the COVID-19 literature Feb 8th to March 7th

by Ingunn Olea Lund | Mar 7, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from February 8th to March 7th. During this time, there were 9741 publications, and 654 keywords occurred in ten or more manuscripts. The keywords divided into 7 clusters. To create the map, we used the LinLog method.

In the table below, we have listed the 10 most central keywords in each cluster.

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5	Cluster 6	Cluster 7
severity of illness index	pandemic	mental health	infant	female	china	adult
animals	cross-sectional studies	anxiety	antibodies, viral	male	italy	young adult
covid-19 vaccines	surveys and questionnaires	depression	cohort studies	middle aged	incidence	adolescent
prognosis	public health	quarantine	covid-19 testing	aged	spain	children
vaccine	communicable disease control	stress, psychological	pregnancy	aged, 80 and over	cities	child, preschool
intensive care units	united states	stress	covid-19 nucleic acid testing	retrospective studies	models, statistical	age factors
mortality	telemedicine	lockdown	prevalence	risk factor	poland	sex factors
treatment outcome	health personnel	india	time factors	hospitalization	air pollution	israel
spike glycoprotein, coronavirus	epidemiology	adaptation, psychological	immunoglobulin g	comorbidity	aerosols	age distribution
antiviral agents	health knowledge, attitudes, practice	quality of life	sensitivity and specificity	risk assessment	england	influenza vaccines

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from March, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the COVID-19 literature in January 2021

by Njal | Feb 17, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published during January 2021. During this month, there were 9861 publications, and 1239 keywords occurred in five or more manuscripts. We used two resolutions this month, both 1, and 1.5. The keywords divided into 6 and 12 clusters respectively. To create the map, we used the LinLog method.

In the table below, we have listed the 15 most central keywords in each cluster in the higher resolution map.

The topic in each cluster seems to be:

Cluster 1: Health care delivery

Cluster 2: Virus genetics

Cluster 3: Mental health issues

Cluster 4: Health care delivery

Cluster 5: Public health

Cluster 6: Testing

Cluster 7: Risk factors and mortality

Cluster 8: Vaccines and ethics

Cluster 9: Education and communicatioin

Cluster 10: Treatment

Cluster 11: Demographic

Cluster 12: Pregnancy

Keyword Co-occurrence map: resolution 1.0

Keyword Co-occurrence map: resolution 1.5

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from January 6th, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword	Weighted Degree	Occurrences
*Cluster 1: Health care delivery*
retrospective studies	1219	165
hospitalization	983	118
severity of illness index	820	106
treatment outcome	605	70
time factors	487	55
prognosis	474	88
prospective studies	418	56
intensive care units	412	73
cohort studies	394	60
lung	360	62
respiration, artificial	357	38
critical care	338	67
pneumonia	304	81
biomarkers	281	53

Cluster 2: Virus genetics
animals	652	98
antibodies, viral	608	70
spike glycoprotein, coronavirus	583	75
angiotensin-converting enzyme 2	455	64
sars	360	95
antibodies, neutralizing	312	31
inflammation	300	95
cytokines	247	64
mice	237	27
ace2	235	87
cross infection	224	30
antibodies, monoclonal	219	28
protein binding	200	23
immunoglobulin g	198	21
genome, viral	183	29

Cluster 3: Mental health issues
cross-sectional studies	1173	156
surveys and questionnaires	996	137
mental health	783	190
anxiety	764	183
depression	635	150
stress, psychological	348	41
health knowledge, attitudes, practice	291	47
exercise	255	44
lockdown	244	104
students	229	33
longitudinal studies	216	27
social isolation	215	42
logistic models	205	20
stress	196	60
quality of life	195	52

*Cluster 4: Health care delivery*
health personnel	609	96
telemedicine	599	245
united kingdom	393	63
personal protective equipment	370	93
infection control	346	75
health services accessibility	286	45
neoplasms	286	47
delivery of health care	264	51
hospitals	193	34
primary healthcare	189	32
qualitative research	177	41
attitude of health personnel	167	23
canada	155	32
cancer	147	47
nurses	139	45

*Cluster 5: Public health*
public health	842	193
china	740	127
quarantine	740	124
communicable disease control	554	100
epidemiology	521	132
disease outbreaks	494	72
physical distancing	408	67
infectious diseases	340	86
health policy	337	70
global health	286	69
brazil	266	52
contact tracing	232	42
models, theoretical	195	33
epidemic	190	60
masks	188	46

*Cluster 6: Testing*
covid-19 testing	711	119
prevalence	491	69
covid-19 nucleic acid testing	369	42
rna, viral	365	53
respiratory infections	323	44
viruses	319	57
viral load	235	40
covid-19 serological testing	227	25
disease transmission, infectious	220	28
sensitivity and specificity	220	30
reverse transcriptase polymerase chain reaction	214	31
zoonosis	210	31
seroepidemiologic studies	205	23
antibody	186	53
nasopharynx	169	21

Cluster 7: Risk factors and mortality
risk factor	1239	197
comorbidity	748	99
mortality	675	187
diabetes mellitus	397	52
age factors	344	39
risk assessment	289	45
cardiovascular diseases	247	53
hypertension	242	37
sex factors	240	25
obesity	239	53
republic of korea	138	20
diabetes	116	37
angiotensin-converting enzyme inhibitors	115	18
smoking	115	18
body mass index	113	12

Cluster 8: Vaccines and ethics
united states	686	131
covid-19 vaccines	385	81
socioeconomic factors	313	52
vaccine	294	110
vaccination	288	77
healthcare disparities	157	28
health status disparities	156	27
ethnic groups	146	21
vulnerable populations	143	27
influenza, human	119	21
clinical trials	93	37
immunization programs	87	13
minority groups	87	10
treatment	87	40
social determinants of health	86	20

Cluster 9: Education and communicatioin
communication	265	47
social media	196	50
education, distance	176	34
students, medical	153	26
curriculum	119	27
education, medical	102	19
medical education	97	33
leadership	88	19
clinical competence	81	14
nigeria	77	19
california	76	13
education	76	28
education, medical, undergraduate	65	10
misinformation	61	12
consumer health information	58	8

Cluster 10: Treatment
antiviral agents	791	108
hydroxychloroquine	387	62
anti-bacterial agents	328	32
drug repositioning	280	39
clinical trials as topic	271	36
azithromycin	218	29
antimalarials	181	21
drug combinations	168	16
safety	141	31
adenosine monophosphate	131	14
alanine	131	14
uncertainty	124	24
drug synergism	119	10
enzyme inhibitors	110	8
efficacy	93	13

Cluster 11: Demographic
adolescent	1672	200
aged, 80 and over	1475	173
children	1288	206
italy	816	105
child, preschool	691	72
infant	644	77
incidence	450	68
spain	317	42
germany	200	32
risk	199	33
registry	176	27
sex distribution	165	14
age distribution	163	14
databases, factual	157	17
nursing homes	145	32

Cluster 12: Pregnancy
pregnancy	410	95
coronavirus infection	237	61
pregnancy complications, infectious	162	23
anosmia	96	32
infectious disease transmission, vertical	62	8
smell	55	17
delivery, obstetric	52	5
dysgeusia	50	9
data collection	45	7
domestic violence	42	9
pregnancy outcome	38	6
hyposmia	37	13
maternal mortality	34	6
prenatal care	31	6
breastfeeding	29	13

Keyword Co-Occurrence Network Graph of the current focus of the COVID-19 literature – based on publications in December

by Njal | Jan 17, 2021 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published during December 2020. During this month, there were 7 148 publications, and 907 keywords occurred in five or more manuscripts. We used a higher resolution this month, 1.5, and then the keywords divided into 10 clusters. To create the map, we used the LinLog method.

In the table below, we have listed the 15 most central keywords in each cluster. The topic in each cluster seems to be:

Cluster 1: Vaccines.
Cluster 2: Health care delivery
Cluster 3: Mental health issues
Cluster 4: Treatment
Cluster 5: Public health
Cluster 6: Testing
Cluster 7: Risk factors and mortality
Cluster 8: Children and socioeconomic factors
Cluster 9: Pregnancy
Cluster 10: Demographic

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from January 6th, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Cluster 1	Occurrences
antiviral agents	62
inflammation	84
animals	49
sars	66
hydroxychloroquine	58
covid-19 vaccines	42
vaccine	85
angiotensin-converting enzyme 2	39
spike glycoprotein, coronavirus	33
chloroquine	26
ace2	61
cytokines	31
antibodies, monoclonal	18
lopinavir	11
ritonavir	12

Cluster 2	Occurrences
united states	77
telemedicine	157
infection control	60
personal protective equipment	66
delivery of health care	49
united kingdom	25
health services accessibility	31
masks	34
singapore	14
emergency service, hospital	25
healthcare workers	40
mass screening	20
neoplasms	20
kidney failure, chronic	12
tertiary care centers	16

Cluster 3	Occurrences
surveys and questionnaires	113
cross-sectional studies	107
mental health	184
anxiety	137
depression	122
health personnel	78
stress, psychological	47
health knowledge, attitudes, practice	32
mental disorders	29
exercise	34
students	30
stress	53
quality of life	28
social media	38
social isolation	24

Cluster 4	Occurrences
treatment outcome	47
coronavirus infection	72
critical care	62
intensive care units	47
prospective studies	35
viral pneumonia	41
respiration, artificial	25
cohort studies	25
pneumonia	60
respiratory distress syndrome	25
case-control studies	18
critical illness	19
respiratory insufficiency	20
randomized controlled trials as topic	18
betacoronavirus	17

Cluster 5	Occurrences
china	123
public health	166
quarantine	86
physical distancing	64
italy	69
communicable disease control	68
disease outbreaks	63
epidemiology	81
lockdown	74
infectious diseases	83
incidence	37
contact tracing	41
health policy	56
spain	27
france	31

Cluster 6	Occurrences
covid-19 testing	78
time factors	41
tomography, x-ray computed	40
lung	42
antibodies, viral	32
rna, viral	29
asymptomatic infections	25
covid-19 nucleic acid testing	25
sensitivity and specificity	29
viral load	17
symptom assessment	9
reverse transcriptase polymerase chain reaction	13
algorithms	14
real time polymerase chain reaction	32
nasopharynx	12

Cluster 7	Occurrences
retrospective studies	130
risk factor	139
hospitalization	77
comorbidity	76
severity of illness index	59
mortality	112
prognosis	66
hospital mortality	30
biomarkers	44
hypertension	36
risk assessment	27
logistic models	15
diabetes mellitus	33
follow-up	19
obesity	38

Cluster 8	Occurrences
young adult	165
adolescent	160
children	140
child, preschool	53
infant	65
age factors	34
brazil	43
sex factors	20
socioeconomic factors	21
schools	22
hospitals	23
ethnic groups	11
health status disparities	13
parents	16
disease transmission, infectious	12

Cluster 9	Occurrences
pregnancy	51
infection	38
pregnancy complications, infectious	10
pregnant women	12
mothers	6
alcohol drinking	6
cesarean section	6
new york	5
breastfeeding	6
vertical transmission	9
disability	6
antibody response	5
neutralizing antibodies	5

Cluster 10	Occurrences
female	544
male	531
middle aged	381
adult	392
aged	293
aged, 80 and over	137

Keyword Co-Occurrence Network Graph of the current focus of the COVID-19 literature – based on publications in October and November

by Ingunn Olea Lund | Dec 1, 2020 | CoOccurrence

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published during October and November. During these two months, there were 21 758 publications, and 649 keywords occurred in eight or more manuscripts. These divided into four main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 10.

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from December 1st, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the current focus of the COVID-19 literature

by Ingunn Olea Lund | Oct 19, 2020 | CoOccurrence

In this week’s update, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published during the past three weeks (September 28th to October 18th). There were 527 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 10.

To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from October 19th, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to September 28th, 2020.

by Ingunn Olea Lund | Sep 28, 2020 | CoOccurrence

Corpus downloaded from PubMed September 28th consisted of 53994 publications. There were 3300 keywords that occurred in five or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
public health	pneumonia	pandemic	sars	female
telemedicine	mortality	coronavirus infection	animals	male
epidemiology	hydroxychloroquine	viral pneumonia	antiviral agents	middle aged
mental health	inflammation	betacoronavirus	viruses	adult
epidemic	ace2	china	zoonosis	aged
personal protective equipment	infection	disease outbreaks	mers	children
anxiety	cytokines	infection control	peptidyl-dipeptidase a	clinical laboratory techniques
infectious diseases	acute respiratory distress syndrome	quarantine	vaccine	young adult
depression	chloroquine	united states	spike glycoprotein, coronavirus	adolescent
outbreak	treatment	global health	respiratory infections	risk factor
health policy	critical illness	italy	antibodies, viral	retrospective studies
social distancing	hypertension	travel	diagnosis	tomography, x-ray computed
prevention	cardiovascular diseases	surveys and questionnaires	viral vaccines	aged, 80 and over
transmission	cytokine storm	health personnel	genome, viral	lung
india	ards	time factors	clinical trials as topic	infant
social media	diabetes mellitus	risk assessment	phylogeny	comorbidity
stress	stroke	critical care	chiroptera	treatment outcome
lockdown	obesity	cross-sectional studies	wuhan	fever
cancer	remdesivir	practice guidelines as topic	antibody	child, preschool
healthcare workers	thrombosis	contact tracing	antibodies, monoclonal	severity of illness index
triage	lopinavir	world health organization	receptors, virus	pregnancy
risk	diabetes	delivery of health care	immunization, passive	hospitalization
safety	tocilizumab	brazil	host-pathogen interactions	prognosis
surgery	angiotensin-converting enzyme inhibitors	united kingdom	alanine	intensive care units
education	acute kidney injury	communicable disease control	drug repositioning	real time polymerase chain reaction

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graphs comparing COVID-19 research focus in the very early stages (up to March 23rd, 2020) to the focus in August 2020.

by Ingunn Olea Lund | Sep 23, 2020 | CoOccurrence

In this post, we compare the focus of the COVID-19 literature published in the very early stages of the pandemic (up to March 23rd) to the focus of literature published during August 2020.

The first graph below is based on the literature based on the Corpus downloaded from PubMed 23rd March. The literature consisted of 1323 publications, of which there were 225 keywords that occurred in three or more manuscripts. These divided into four clusters, that are described in this preprint

The second graph below is based on COVID-19 literature published during August 2020. The literature consisted of 10901 publications, of which there were 1179 keywords that occurred in 5 or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 15. We provide a brief description of the clusters from the August COVID-19 litterature: Within cluster 1 (red), the “Pandemic of viral pneumonia; public health and world spread”, we found topics relating to “Public health concerns” “health personnel, education and behavior”, “Guidelines and health care”, and “vulnerabilities in health care”. Cluster 2 (green), “Treatment of COVID-19”, include topics relating to “Epidemiology of virus transmission” “Antiviral agents and vaccines”, “Cancer and chemotherapy”, “Angiotensin and diabetes” and “Antibodies and passive immunization” Central themes in cluster 3 (blue), “Epidemiology of the pandemic and disease”, are “Respiratory illness and care”, “Risk factors and mortality”, “Clinical investigation and diagnosis” and “Population epidemiology”. Central themes in cluster 4 (yellow), “Surveys of disease and mental health”, are topics relating to “Population surveys and anxieties” and “Health care and migration”. Cluster 5 (purple), is dominated by one single theme, namely topics relating to “Lab-work and diagnostics”; which is also what we labeled this cluster.

When inspecting and comparing the network graphs illustrating the COVID-19 literature published during August and one published during the early phase (January 1^st – March 23^rd, 2020), we notice some consistent themes, and some emerging themes. Much of what was being covered during the early phase is still in focus. For instance, the topics from the “health and pandemic management” cluster from the early phase is reflected in the topics covered in the “Pandemic of viral pneumonia; public health and world spread” cluster in the August literature network graph. Early in the pandemic, there was not however, a focus on mental health issues. This has become an additional focus later in the pandemic, and is evident in the “Surveys of disease and mental health” in the August literature network graph. These are just some examples of insights that can be gained from comparing network graphs from different time periods.

Figure 1: The research focus in the very early Covid-19 literature

Figure 1 Notes: Red cluster: Health and pandemic management; Green cluster: The disease and its pathophysiology; Blue cluster: Clinical epidemiology of the disease; Yellow cluster: Treatment of the disease.

Figure 2 (below): The research focus in a later stage of the Covid-19 literature

Figure 2 notes: Red cluster: Pandemic of viral pneumonia; public health and world spread; Green cluster: Treatment of COVID-19; Blue cluster: Epidemiology of the pandemic and disease; Yellow cluster: Surveys of disease and mental health; Purple cluster: Lab-work and diagnostics.

Tables of most central keywords in each cluster; in literature published during the early phase of the pandemic, and literature published during August.

The tables below provide an overview of the most central keywords in each cluster in the two time-periods. We extracted more keywords from the second time period as there was substantially more literature published in August alone, than the first 12 weeks of 2020, which the first map is based on. (Centrality measure used is weighted degree centrality)

Table 1: Most frequent keywords in the very early Covid-19 literature

Health and pandemic management (Red)	The disease and its pathophysiology (Yellow)	Clinical epidemiology of the disease (Blue)	Treatment of the disease (Green)
coronavirus infection	pneumonia	female	sars
viral pneumonia	outbreak	adult	animals
betacoronavirus	epidemiology	male	genome, viral
china	antiviral agents	middle aged	phylogeny
disease outbreaks	viruses	aged	zoonosis
travel	republic of korea	young adult	wuhan
pandemic	lopinavir	fever	chiroptera
global health	transmission	tomography, x-ray computed	communicable diseases, emerging
infection control	ritonavir	children	disease reservoirs
public health	mortality	lung	peptidyl-dipeptidase a

Table 2 (below): Most frequent keywords in a later stage of the Covid-19 literature

Pandemic of viral pneumonia; public health and world spread (Red)	Treatment of COVID-19 (Green)	Epidemiology of the pandemic and disease (Blue)	Surveys of disease and mental health (Yellow)	Lab-work and diagnostics (Purple)
pandemic	antiviral agents	female	surveys and questionnaires	clinical laboratory techniques
coronavirus infection	animals	male	cross-sectional studies	rna, viral
viral pneumonia	sars	middle aged	anxiety	real time polymerase chain reaction
betacoronavirus	inflammation	adult	health personnel	antibodies, viral
public health	peptidyl-dipeptidase a	aged	mental health	sensitivity and specificity
united states	spike glycoprotein, coronavirus	young adult	pregnancy	reverse transcriptase polymerase chain reaction
quarantine	epidemiology	adolescent	depression	reproducibility of results
infection control	cytokines	aged, 80 and over	prevalence	immunoglobulin g
italy	hydroxychloroquine	retrospective studies	exercise	diagnosis
telemedicine	viral vaccines	children	stress, psychological	serological test
disease outbreaks	antibodies, monoclonal	china	pregnancy complications, infectious	polymerase chain reaction
communicable disease control	ace2	risk factor	health knowledge, attitudes, practice	seroepidemiologic studies
delivery of health care	interleukin-6	severity of illness index	adaptation, psychological	asymptomatic infections
global health	infection	treatment outcome	risk	immunoglobulin m
personal protective equipment	vaccine	comorbidity	stress	molecular diagnostic techniques
infectious diseases	viruses	hospitalization	nurses	asymptomatic diseases
health policy	cytokine release syndrome	child, preschool	attitude of health personnel	specimen handling
social isolation	host-pathogen interactions	tomography, x-ray computed	health behavior	family characteristics
united kingdom	protein binding	infant	fear	olfaction disorders
practice guidelines as topic	molecular docking simulation	risk assessment	students	nasopharynx

To open the maps directly in VOSviewer, please use the relevant MAP and NET files (Co-occurrence files from March 23rd and the files for August2020Total, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to September 21st, 2020.

by Ingunn Olea Lund | Sep 21, 2020 | CoOccurrence

Corpus downloaded from PubMed September 21st include 52105 publications. There were 3258 keywords that occurred in five or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
public health	pneumonia	pandemic	sars	female
telemedicine	mortality	coronavirus infection	animals	male
epidemiology	hydroxychloroquine	viral pneumonia	antiviral agents	middle aged
mental health	inflammation	betacoronavirus	viruses	adult
epidemic	ace2	china	zoonosis	aged
personal protective equipment	infection	disease outbreaks	mers	children
anxiety	cytokines	infection control	peptidyl-dipeptidase a	clinical laboratory techniques
infectious diseases	acute respiratory distress syndrome	quarantine	spike glycoprotein, coronavirus	young adult
outbreak	chloroquine	united states	vaccine	adolescent
depression	treatment	global health	antibodies, viral	risk factor
health policy	critical illness	italy	respiratory infections	retrospective studies
social distancing	cardiovascular diseases	travel	diagnosis	tomography, x-ray computed
prevention	hypertension	surveys and questionnaires	viral vaccines	aged, 80 and over
transmission	cytokine storm	health personnel	genome, viral	lung
india	ards	time factors	clinical trials as topic	infant
social media	diabetes mellitus	risk assessment	phylogeny	comorbidity
stress	stroke	critical care	chiroptera	fever
lockdown	remdesivir	practice guidelines as topic	wuhan	treatment outcome
cancer	obesity	contact tracing	antibodies, monoclonal	child, preschool
healthcare workers	thrombosis	world health organization	receptors, virus	severity of illness index
triage	angiotensin-converting enzyme inhibitors	delivery of health care	antibody	pregnancy
risk	lopinavir	brazil	immunization, passive	hospitalization
safety	tocilizumab	united kingdom	alanine	prognosis
surgery	diabetes	incidence	drug repositioning	intensive care units
virology	randomised controlled trial	communicable disease control	host-pathogen interactions	real time polymerase chain reaction
knowledge	acute kidney injury	infectious disease transmission, patient-to-professional	adenosine monophosphate	cough
ethics	influenza	republic of korea	virus replication	cross-sectional studies
education	interleukin-6	communication	virus internalization	respiration, artificial
disinfection	ritonavir	stress, psychological	serology	age factors
guidelines	meta-analysis	masks	molecular docking simulation	rna, viral

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the current focus of the COVID-19 literature

by Ingunn Olea Lund | Sep 14, 2020 | CoOccurrence

In this week’s update, we are presenting something slightly different; the current focus of the COVID-19 literature, based on publications registered in PubMed as published during week 35-37 (August 24th-September 13th). This resulted in 8144 publications. There were 687 keywords that occurred in five or more manuscripts. These divided into four main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 15.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4
public health	treatment outcome	pandemic	male
mental health	antiviral agents	coronavirus infection	female
telemedicine	pneumonia	viral pneumonia	middle aged
anxiety	time factors	betacoronavirus	adult
epidemiology	sars	brazil	aged
covid‐19	mortality	clinical laboratory techniques	china
depression	hydroxychloroquine	personal protective equipment	risk factor
infectious diseases	respiration, artificial	united states	adolescent
epidemic	inflammation	health personnel	young adult
quarantine	host microbial interactions	pregnancy	children
lockdown	ace2	infection control	retrospective studies
stress	cytokines	lung	aged, 80 and over
global health	infection	nephrology	severity of illness index
prevalence	randomized controlled trials as topic	australia	cross-sectional studies
india	stroke	masks	surveys and questionnaires

To open the map directly in VOSviewer, please use the “KeywordCoOccurrance5Inst1Resol1_20200914FocusAug24thToSep13th” MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to September 7th, 2020.

by Ingunn Olea Lund | Sep 7, 2020 | CoOccurrence

Corpus downloaded from PubMed September 7th 48067 publications. There were 2960 keywords that occurred in five or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
public health	pneumonia	pandemic	sars	female
epidemiology	mortality	coronavirus infection	animals	male
telemedicine	hydroxychloroquine	viral pneumonia	antiviral agents	middle aged
epidemic	inflammation	betacoronavirus	viruses	adult
mental health	infection	china	zoonosis	aged
personal protective equipment	ace2	disease outbreaks	mers	clinical laboratory techniques
anxiety	acute respiratory distress syndrome	infection control	peptidyl-dipeptidase a	children
infectious diseases	chloroquine	quarantine	spike glycoprotein, coronavirus	young adult
outbreak	cytokines	united states	antibodies, viral	adolescent
depression	vaccine	global health	diagnosis	risk factor
health policy	treatment	italy	respiratory infections	tomography, x-ray computed
social distancing	hypertension	travel	viral vaccines	retrospective studies
prevention	cardiovascular diseases	health personnel	genome, viral	aged, 80 and over
communication	critical illness	surveys and questionnaires	clinical trials as topic	lung
transmission	cytokine storm	time factors	phylogeny	infant
social media	ards	critical care	chiroptera	fever
internet	diabetes mellitus	risk assessment	wuhan	child, preschool
lockdown	stroke	practice guidelines as topic	receptors, virus	comorbidity
cancer	remdesivir	world health organization	antibodies, monoclonal	treatment outcome
stress	obesity	contact tracing	immunization, passive	severity of illness index
triage	lopinavir	delivery of health care	antibody	pregnancy
risk	tocilizumab	infectious disease transmission, patient-to-professional	alanine	hospitalization
healthcare workers	angiotensin-converting enzyme inhibitors	united kingdom	drug repositioning	intensive care units
safety	thrombosis	brazil	adenosine monophosphate	cough
surgery	ct	communicable disease control	pathogenesis	real time polymerase chain reaction
spain	computed tomography	stress, psychological	virus replication	prognosis
education	diabetes	masks	communicable diseases, emerging	incidence
ethics	ritonavir	republic of korea	spike protein	age factors
virology	interleukin-6	forecasting	virus internalization	cross-sectional studies
knowledge	influenza	civil defense	serology	respiration, artificial

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to August 31st, 2020.

by Ingunn Olea Lund | Aug 31, 2020 | CoOccurrence

Corpus downloaded from PubMed August 31st 46037 publications. There were 2833 keywords that occurred in five or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
public health	pneumonia	pandemic	sars	female
epidemiology	mortality	coronavirus infection	animals	male
telemedicine	hydroxychloroquine	viral pneumonia	antiviral agents	middle aged
epidemic	inflammation	betacoronavirus	viruses	adult
mental health	ace2	china	zoonosis	aged
personal protective equipment	infection	disease outbreaks	mers	clinical laboratory techniques
infectious diseases	acute respiratory distress syndrome	infection control	peptidyl-dipeptidase a	children
anxiety	chloroquine	quarantine	spike glycoprotein, coronavirus	young adult
outbreak	cytokines	united states	respiratory infections	adolescent
depression	vaccine	global health	antibodies, viral	risk factor
health policy	treatment	travel	diagnosis	tomography, x-ray computed
social distancing	hypertension	italy	genome, viral	retrospective studies
prevention	cardiovascular diseases	health personnel	viral vaccines	aged, 80 and over
communication	critical illness	intensive care units	transmission	lung
social media	cytokine storm	time factors	phylogeny	infant
masks	ards	critical care	chiroptera	fever
internet	diabetes mellitus	risk assessment	wuhan	child, preschool
triage	stroke	practice guidelines as topic	receptors, virus	comorbidity
healthcare workers	lopinavir	world health organization	immunization, passive	pregnancy
lockdown	obesity	contact tracing	antibodies, monoclonal	severity of illness index
cancer	remdesivir	incidence	drug repositioning	hospitalization
risk	tocilizumab	infectious disease transmission, patient-to-professional	antibody	treatment outcome
stress	angiotensin-converting enzyme inhibitors	delivery of health care	alanine	cough
safety	thrombosis	united kingdom	virus replication	real time polymerase chain reaction
surgery	computed tomography	communicable disease control	adenosine monophosphate	surveys and questionnaires
social isolation	diabetes	clinical trials as topic	communicable diseases, emerging	prognosis
spain	influenza	stress, psychological	virus internalization	age factors
ethics	interleukin-6	republic of korea	disease reservoirs	respiration, artificial
virology	ritonavir	civil defense	models, molecular	rna, viral
education	ct	forecasting	serology	cross-sectional studies

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to August 24th, 2020.

by Ingunn Olea Lund | Aug 30, 2020 | CoOccurrence

Corpus downloaded from PubMed August 24th 41913 publications. There were 2516 keywords that occurred in five or more manuscripts. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	telemedicine	pandemic	sars	female
epidemiology	mental health	coronavirus infection	animals	male
mortality	personal protective equipment	viral pneumonia	antiviral agents	adult
hydroxychloroquine	anxiety	betacoronavirus	viruses	middle aged
infectious diseases	depression	china	zoonosis	aged
infection	social distancing	disease outbreaks	outbreak	clinical laboratory techniques
inflammation	prevention	public health	mers	children
ace2	masks	infection control	peptidyl-dipeptidase a	young adult
chloroquine	healthcare workers	quarantine	spike glycoprotein, coronavirus	adolescent
acute respiratory distress syndrome	triage	united states	vaccine	tomography, x-ray computed
cytokines	cancer	epidemic	antibodies, viral	risk factor
treatment	safety	global health	respiratory infections	retrospective studies
critical illness	spain	travel	genome, viral	lung
hypertension	surgery	italy	viral vaccines	aged, 80 and over
cardiovascular diseases	stress	health personnel	diagnosis	infant
cytokine storm	lockdown	intensive care units	clinical trials as topic	fever
ards	education	time factors	transmission	child, preschool
diabetes mellitus	knowledge	health policy	phylogeny	comorbidity
stroke	ethics	critical care	chiroptera	pregnancy
obesity	guidelines	practice guidelines as topic	wuhan	hospitalization
remdesivir	patient care	risk assessment	lopinavir	cough
angiotensin-converting enzyme inhibitors	nurses	contact tracing	receptors, virus	severity of illness index
tocilizumab	psychiatry	world health organization	ritonavir	treatment outcome
computed tomography	disinfection	infectious disease transmission, patient-to-professional	antibodies, monoclonal	real time polymerase chain reaction
diabetes	aerosols	delivery of health care	immunization, passive	surveys and questionnaires

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to August 17th, 2020.

by Ingunn Olea Lund | Aug 22, 2020 | CoOccurrence

Corpus downloaded from PubMed August 17th 39914 publications. There were 2395 keywords that occurred in five or more manuscripts; this is the same number as last week. However, the order of the most frequently occurring keywords has changed slightly. The keywords divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
public health	pneumonia	pandemic	sars	male
epidemiology	hydroxychloroquine	coronavirus infection	animals	female
telemedicine	mortality	viral pneumonia	antiviral agents	adult
epidemic	infection	betacoronavirus	viruses	middle aged
personal protective equipment	inflammation	china	zoonosis	aged
mental health	ace2	disease outbreaks	mers	clinical laboratory techniques
infectious diseases	chloroquine	infection control	peptidyl-dipeptidase a	children
outbreak	acute respiratory distress syndrome	quarantine	spike glycoprotein, coronavirus	young adult
anxiety	cytokines	united states	genome, viral	adolescent
health policy	treatment	travel	respiratory infections	tomography, x-ray computed
depression	vaccine	global health	antibodies, viral	risk factor
social distancing	cardiovascular diseases	italy	viral vaccines	retrospective studies
communication	hypertension	health personnel	diagnosis	lung
prevention	critical illness	intensive care units	phylogeny	aged, 80 and over
transmission	cytokine storm	critical care	chiroptera	infant
social media	diabetes mellitus	practice guidelines as topic	wuhan	fever
internet	ards	time factors	receptors, virus	child, preschool
healthcare workers	lopinavir	risk assessment	immunization, passive	comorbidity
triage	angiotensin-converting enzyme inhibitors	contact tracing	antibodies, monoclonal	pregnancy
masks	remdesivir	world health organization	drug repositioning	cough
risk	obesity	united kingdom	alanine	hospitalization
cancer	tocilizumab	infectious disease transmission, patient-to-professional	antibody	severity of illness index
surgery	ritonavir	delivery of health care	adenosine monophosphate	real time polymerase chain reaction
safety	diabetes	communicable disease control	communicable diseases, emerging	surveys and questionnaires
spain	thrombosis	clinical trials as topic	virus replication	prognosis

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to August 10th, 2020.

by Ingunn Olea Lund | Aug 10, 2020 | CoOccurrence

Corpus downloaded from PubMed August 10th 38271 publications. There were 2395 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 30.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	telemedicine	pandemic	sars	male
epidemiology	personal protective equipment	coronavirus infection	animals	female
hydroxychloroquine	mental health	viral pneumonia	antiviral agents	adult
infectious diseases	outbreak	betacoronavirus	viruses	middle aged
mortality	anxiety	china	zoonosis	aged
infection	depression	disease outbreaks	mers	clinical laboratory techniques
inflammation	social distancing	public health	peptidyl-dipeptidase a	children
ace2	prevention	infection control	spike glycoprotein, coronavirus	young adult
chloroquine	healthcare workers	quarantine	genome, viral	adolescent
acute respiratory distress syndrome	triage	epidemic	respiratory infections	tomography, x-ray computed
cytokines	masks	united states	vaccine	risk factor
treatment	cancer	travel	antibodies, viral	retrospective studies
cardiovascular diseases	surgery	global health	viral vaccines	lung
hypertension	safety	italy	diagnosis	aged, 80 and over
critical illness	spain	health personnel	clinical trials as topic	infant
cytokine storm	stress	intensive care units	transmission	fever
diabetes mellitus	lockdown	critical care	phylogeny	child, preschool
ards	education	practice guidelines as topic	chiroptera	comorbidity
lopinavir	guidelines	health policy	wuhan	pregnancy
angiotensin-converting enzyme inhibitors	knowledge	time factors	receptors, virus	cough
remdesivir	ethics	risk assessment	immunization, passive	hospitalization
obesity	patient care	contact tracing	antibodies, monoclonal	severity of illness index
tocilizumab	psychiatry	world health organization	drug repositioning	real time polymerase chain reaction
ritonavir	disinfection	united kingdom	alanine	surveys and questionnaires
diabetes	aerosols	infectious disease transmission, patient-to-professional	antibody	prognosis

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to August 3rd, 2020.

by Ingunn Olea Lund | Aug 4, 2020 | CoOccurrence

Corpus downloaded from PubMed August 3rd 36201 publications. There were 2262 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 25.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	telemedicine	pandemic	sars	male
epidemiology	personal protective equipment	coronavirus infection	animals	female
hydroxychloroquine	mental health	viral pneumonia	antiviral agents	adult
infectious diseases	anxiety	betacoronavirus	viruses	middle aged
mortality	depression	china	zoonosis	aged
infection	social distancing	disease outbreaks	outbreak	clinical laboratory techniques
inflammation	prevention	public health	peptidyl-dipeptidase a	young adult
ace2	triage	infection control	mers	children
chloroquine	masks	quarantine	spike glycoprotein, coronavirus	adolescent
acute respiratory distress syndrome	healthcare workers	epidemic	genome, viral	tomography, x-ray computed
cytokines	cancer	united states	antibodies, viral	risk factor
vaccine	safety	travel	respiratory infections	retrospective studies
treatment	surgery	global health	viral vaccines	lung
cardiovascular diseases	stress	italy	clinical trials as topic	aged, 80 and over
hypertension	lockdown	health personnel	phylogeny	infant
critical illness	knowledge	intensive care units	transmission	fever
diagnosis	guidelines	practice guidelines as topic	chiroptera	child, preschool
cytokine storm	education	critical care	wuhan	comorbidity
diabetes mellitus	ethics	time factors	receptors, virus	cough
ards	patient care	health policy	immunization, passive	pregnancy
lopinavir	disinfection	risk assessment	antibodies, monoclonal	hospitalization
angiotensin-converting enzyme inhibitors	psychiatry	world health organization	drug repositioning	severity of illness index
remdesivir	aerosols	contact tracing	alanine	real time polymerase chain reaction
obesity	palliative care	united kingdom	adenosine monophosphate	surveys and questionnaires
tocilizumab	fear	infectious disease transmission, patient-to-professional	antibody	treatment outcome

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to July 27th, 2020.

by Ingunn Olea Lund | Jul 28, 2020 | CoOccurrence

Corpus downloaded from PubMed July 27th: 33970 publications. There were 2111 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	epidemiology	pandemic	sars	male
hydroxychloroquine	telemedicine	coronavirus infection	animals	female
mortality	personal protective equipment	viral pneumonia	antiviral agents	adult
infection	outbreak	betacoronavirus	zoonosis	middle aged
ace2	mental health	china	viruses	aged
inflammation	infectious diseases	disease outbreaks	peptidyl-dipeptidase a	clinical laboratory techniques
chloroquine	anxiety	public health	mers	children
acute respiratory distress syndrome	depression	infection control	spike glycoprotein, coronavirus	young adult
cytokines	social distancing	quarantine	genome, viral	adolescent
treatment	prevention	epidemic	antibodies, viral	tomography, x-ray computed
cardiovascular diseases	transmission	united states	viral vaccines	risk factor
critical illness	masks	travel	vaccine	retrospective studies
diagnosis	triage	global health	respiratory infections	lung
hypertension	healthcare workers	italy	clinical trials as topic	aged, 80 and over
cytokine storm	cancer	health personnel	phylogeny	infant
diabetes mellitus	safety	intensive care units	chiroptera	fever
ards	surgery	practice guidelines as topic	wuhan	child, preschool
lopinavir	stress	critical care	receptors, virus	comorbidity
angiotensin-converting enzyme inhibitors	virology	time factors	immunization, passive	cough
remdesivir	guidelines	health policy	antibodies, monoclonal	pregnancy
obesity	disease	risk assessment	drug repositioning	hospitalization
ritonavir	knowledge	world health organization	alanine	severity of illness index
tocilizumab	lockdown	contact tracing	adenosine monophosphate	real time polymerase chain reaction
computed tomography	education	united kingdom	communicable diseases, emerging	surveys and questionnaires
novel coronavirus pneumonia	patient care	infectious disease transmission, patient-to-professional	models, molecular	prognosis

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph of the current focus of the COVID-19 literature

by Ingunn Olea Lund | Jul 23, 2020 | CoOccurrence

In this week’s update, we are presenting something slightly different; the current focus of the COVID-19 literature, based on publications registered in PubMed as published in the past 3 weeks (21 days). This resulted in 6001 publications. There were 677 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 15.

Cluster 1 (red) covers literature focusing on Public health strategies, treatment, and the global impact of COVID-19.
Cluster 2 (green) includes literature on the role of existing drugs and vaccines in the current pandemic.
Cluster 3 (blue) focuses on demographics and risk factors.
Cluster 4 (yellow) covers literature concentrated on understanding the nature of the virus.
Cluster 5 (Purple) addresses the association between COVID-19 and mental health.

We find it interesting that there does not seem to be a big shift in publication focus from earlier in the pandemic; however, expect this to change as more time has elapsed, allowing for other types of studies to mature and be ready for publication, especially on topics relating to social consequences of the pandemic.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pandemic	sars	female	clinical laboratory techniques	surveys and questionnaires
coronavirus infection	antiviral agents	male	rna, viral	anxiety
viral pneumonia	animals	middle aged	real time polymerase chain reaction	prevalence
betacoronavirus	antibodies, viral	adult	viruses	mental health
italy	hydroxychloroquine	aged	pneumonia	cross-sectional studies
united states	cytokines	china	sensitivity and specificity	depression
telemedicine	inflammation	risk factor	reverse transcriptase polymerase chain reaction	stress, psychological
quarantine	peptidyl-dipeptidase a	young adult	epidemiology	cancer
public health	viral vaccines	retrospective studies	zoonosis	health knowledge, attitudes, practice
personal protective equipment	spike glycoprotein, coronavirus	aged, 80 and over	nasopharynx	fear
disease outbreaks	cytokine release syndrome	adolescent	infection	social media
infection control	thrombosis	children	immunoglobulin g	family
pregnancy	cardiovascular diseases	treatment outcome	respiratory infections	olfaction disorders
health personnel	vaccine	severity of illness index	outbreak	students
spain	renin-angiotensin system	lung	transmission	adaptation, psychological
cities	influenza, human	hospitalization	serological test	communication
incidence	mice	time factors	patient selection	stress
air pollution	angiotensin-converting enzyme inhibitors	prognosis	viral load	emotions
practice guidelines as topic	chloroquine	tomography, x-ray computed	immunoglobulin m	smell
global health	immunologic factors	risk assessment	diagnosis, differential	ageusia

To open the map directly in VOSviewer, please use the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to July 13th, 2020.

by Ingunn Olea Lund | Jul 13, 2020 | CoOccurrence

Corpus downloaded from PubMed July 13th: 30116 publications. There were 1835 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 25.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	telemedicine	coronavirus infection	sars	female
epidemiology	personal protective equipment	viral pneumonia	animals	male
hydroxychloroquine	mental health	pandemic	antiviral agents	adult
infectious diseases	anxiety	betacoronavirus	zoonosis	middle aged
infection	surveys and questionnaires	china	outbreak	aged
mortality	depression	disease outbreaks	viruses	clinical laboratory techniques
ace2	social distancing	public health	mers	children
chloroquine	prevention	infection control	peptidyl-dipeptidase a	young adult
inflammation	cross-sectional studies	quarantine	spike glycoprotein, coronavirus	tomography, x-ray computed
cytokines	stress, psychological	epidemic	genome, viral	adolescent
acute respiratory distress syndrome	healthcare workers	travel	viral vaccines	risk factor
treatment	triage	global health	antibodies, viral	retrospective studies
cardiovascular diseases	masks	united states	respiratory infections	lung
critical illness	surgery	italy	vaccine	aged, 80 and over
diagnosis	safety	health personnel	clinical trials as topic	fever
hypertension	guidelines	intensive care units	phylogeny	infant
cytokine storm	knowledge	critical care	chiroptera	child, preschool
diabetes mellitus	cancer	time factors	transmission	cough
ards	stress	practice guidelines as topic	wuhan	real time polymerase chain reaction
lopinavir	ethics	world health organization	receptors, virus	comorbidity
angiotensin-converting enzyme inhibitors	mental health services	health policy	immunization, passive	pregnancy
remdesivir	lockdown	contact tracing	medicine, chinese traditional	hospitalization
ritonavir	education	united kingdom	antibodies, monoclonal	severity of illness index
tocilizumab	disinfection	infectious disease transmission, patient-to-professional	alanine	prognosis
novel coronavirus pneumonia	patient care	risk assessment	adenosine monophosphate	age factors

Cluster description in progress

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to July 6th, 2020.

by Njal | Jul 7, 2020 | CoOccurrence

Corpus downloaded from PubMed July 6th: 28256 publications. There were 1732 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	coronavirus infection	sars	female	mental health
epidemiology	viral pneumonia	animals	male	anxiety
outbreak	pandemic	antiviral agents	adult	depression
telemedicine	betacoronavirus	zoonosis	middle aged	fear
viruses	china	peptidyl-dipeptidase a	aged	stress
infection	disease outbreaks	hydroxychloroquine	clinical laboratory techniques	social support
infectious diseases	public health	spike glycoprotein, coronavirus	young adult	emotions
mortality	infection control	genome, viral	children	psychological distress
inflammation	quarantine	chloroquine	tomography, x-ray computed	medical staff
cardiovascular diseases	epidemic	viral vaccines	adolescent	anxiety disorders
treatment	travel	antibodies, viral	retrospective studies	health status
respiratory infections	global health	ace2	lung	quality of life
transmission	italy	phylogeny	risk factor	sleep
prevention	united states	clinical trials as topic	fever	asian continental ancestry group
hypertension	personal protective equipment	chiroptera	aged, 80 and over	follow-up studies
diagnosis	health personnel	middle east respiratory syndrome coronavirus	infant	resilience, psychological
angiotensin-converting enzyme inhibitors	time factors	mers	child, preschool	workforce
ards	practice guidelines as topic	cytokines	cough	dementia
diabetes mellitus	critical care	wuhan	comorbidity	suicide
novel coronavirus pneumonia	contact tracing	receptors, virus	pregnancy	ptsd

Cluster description in progress

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to June 29th, 2020.

by Njal | Jun 30, 2020 | CoOccurrence

Corpus downloaded from PubMed June 29th: 26187 publications. There were 1789 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	coronavirus infection	sars	female	mental health
epidemiology	viral pneumonia	animals	male	anxiety
outbreak	pandemic	antiviral agents	adult	depression
telemedicine	betacoronavirus	zoonosis	middle aged	fear
viruses	china	peptidyl-dipeptidase a	aged	stress
infection	disease outbreaks	hydroxychloroquine	clinical laboratory techniques	social support
infectious diseases	public health	spike glycoprotein, coronavirus	young adult	emotions
mortality	infection control	genome, viral	children	psychological distress
inflammation	quarantine	chloroquine	tomography, x-ray computed	medical staff
cardiovascular diseases	epidemic	viral vaccines	adolescent	anxiety disorders
treatment	travel	antibodies, viral	retrospective studies	health status
respiratory infections	global health	ace2	lung	quality of life
transmission	italy	phylogeny	risk factor	sleep
prevention	united states	clinical trials as topic	fever	asian continental ancestry group
hypertension	personal protective equipment	chiroptera	aged, 80 and over	follow-up studies
diagnosis	health personnel	middle east respiratory syndrome coronavirus	infant	resilience, psychological
angiotensin-converting enzyme inhibitors	time factors	mers	child, preschool	workforce
ards	practice guidelines as topic	cytokines	cough	dementia
diabetes mellitus	critical care	wuhan	comorbidity	suicide
novel coronavirus pneumonia	contact tracing	receptors, virus	pregnancy	ptsd

Cluster description in progress

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to June 22nd, 2020.

by Njal | Jun 27, 2020 | CoOccurrence

Corpus downloaded from PubMed June 22nd: 24167 publications. There were 1656 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	coronavirus infection	sars	female	mental health
epidemiology	viral pneumonia	animals	male	anxiety
outbreak	pandemic	antiviral agents	adult	depression
telemedicine	betacoronavirus	zoonosis	middle aged	fear
viruses	china	peptidyl-dipeptidase a	aged	stress
infection	disease outbreaks	hydroxychloroquine	clinical laboratory techniques	social support
infectious diseases	public health	spike glycoprotein, coronavirus	young adult	emotions
mortality	infection control	genome, viral	children	psychological distress
inflammation	quarantine	chloroquine	tomography, x-ray computed	medical staff
cardiovascular diseases	epidemic	viral vaccines	adolescent	anxiety disorders
treatment	travel	antibodies, viral	retrospective studies	health status
respiratory infections	global health	ace2	lung	quality of life
transmission	italy	phylogeny	risk factor	sleep
prevention	united states	clinical trials as topic	fever	asian continental ancestry group
hypertension	personal protective equipment	chiroptera	aged, 80 and over	follow-up studies
diagnosis	health personnel	middle east respiratory syndrome coronavirus	infant	resilience, psychological
angiotensin-converting enzyme inhibitors	time factors	mers	child, preschool	workforce
ards	practice guidelines as topic	cytokines	cough	dementia
diabetes mellitus	critical care	wuhan	comorbidity	suicide
novel coronavirus pneumonia	contact tracing	receptors, virus	pregnancy	ptsd

Cluster description in progress

To open the map directly in VOSviewer, please use these the latest MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to June 15th, 2020.

by Ingunn Olea Lund | Jun 16, 2020 | CoOccurrence

Corpus downloaded from PubMed June 15th: 22147 publications. There were 1535 keywords that occurred in five or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	coronavirus infection	sars	female	mental health
epidemiology	viral pneumonia	animals	male	anxiety
outbreak	pandemic	antiviral agents	adult	depression
telemedicine	betacoronavirus	zoonosis	middle aged	fear
viruses	china	peptidyl-dipeptidase a	aged	stress
infection	disease outbreaks	hydroxychloroquine	clinical laboratory techniques	social support
infectious diseases	public health	spike glycoprotein, coronavirus	young adult	emotions
mortality	infection control	genome, viral	children	psychological distress
inflammation	quarantine	chloroquine	tomography, x-ray computed	medical staff
cardiovascular diseases	epidemic	viral vaccines	adolescent	anxiety disorders
treatment	travel	antibodies, viral	retrospective studies	health status
respiratory infections	global health	ace2	lung	quality of life
transmission	italy	phylogeny	risk factor	sleep
prevention	united states	clinical trials as topic	fever	asian continental ancestry group
hypertension	personal protective equipment	chiroptera	aged, 80 and over	follow-up studies
diagnosis	health personnel	middle east respiratory syndrome coronavirus	infant	resilience, psychological
angiotensin-converting enzyme inhibitors	time factors	mers	child, preschool	workforce
ards	practice guidelines as topic	cytokines	cough	dementia
diabetes mellitus	critical care	wuhan	comorbidity	suicide
novel coronavirus pneumonia	contact tracing	receptors, virus	pregnancy	ptsd

Cluster description in progress

To open the map directly in VOSviewer, please use these two files.
KeywordCoOccurrance5Inst1Resol1_20200615NETb
KeywordCoOccurrance5Inst1Resol1_20200615MAPb

The maps are created with the following “thesaurus” to clean the data:
Thesaurus20200601

Keyword Co-Occurrence Network Graph for the Overall Research Field on COVID-19 up to June 8th, 2020.

by Ingunn Olea Lund | Jun 8, 2020 | CoOccurrence

Corpus downloaded from PubMed June 8th: 19426 publications. There were 1814 keywords that occurred in four or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

Table of the most central keywords in each cluster

(Centrality measure used is weighted degree centrality/total link strength)

Cluster 1	Cluster 2	Cluster 3	Cluster 4	Cluster 5
pneumonia	coronavirus infection	sars	female	mental health
epidemiology	viral pneumonia	animals	male	surveys and questionnaires
outbreak	pandemic	antiviral agents	adult	anxiety
zoonosis	betacoronavirus	peptidyl-dipeptidase a	middle aged	depression
viruses	china	hydroxychloroquine	aged	cross-sectional studies
telemedicine	disease outbreaks	spike glycoprotein, coronavirus	clinical laboratory techniques	knowledge
infection	public health	genome, viral	children	fear
infectious diseases	infection control	chloroquine	young adult	stress
mortality	quarantine	viral vaccines	tomography, x-ray computed	social support
treatment	travel	antibodies, viral	adolescent	emotions
wuhan	epidemic	phylogeny	lung	medical staff
respiratory infections	global health	ace2	retrospective studies	psychological distress
transmission	italy	clinical trials as topic	risk factor	nursing homes
prevention	united states	chiroptera	fever	anxiety disorders
diagnosis	personal protective equipment	inflammation	aged, 80 and over	health status
novel coronavirus pneumonia	health personnel	cardiovascular diseases	infant	quality of life
safety	time factors	middle east respiratory syndrome coronavirus	cough	asian continental ancestry group
telehealth	practice guidelines as topic	mers	child, preschool	sleep
influenza	critical care	cytokines	comorbidity	pharmacists
virology	contact tracing	receptors, virus	pregnancy	resilience, psychological

Cluster description in progress

To open the map directly in VOSviewer, please use these two files.
KeywordCoOccurrance4Inst1Resol1_20200608NET
KeywordCoOccurrance4Inst1Resol1_20200608MAP

The maps are created with the following “thesaurus” to clean the data:
Thesaurus20200601

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