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

In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published from March 6th to 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

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

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

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

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

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 1st, 2020, to June 5th, 2021.

The analysis of all research including covid-19 terms, AND substance use-related terms in title or abstract in PubMed from January 1st, 2020 to June 5th, 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

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

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

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

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

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

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

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.

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.

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 1st – March 23rd, 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.

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

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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