This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
proper | frequency |
---|---|
South | 1399 |
Korea | 709 |
Africa | 678 |
COVID-19 | 652 |
China | 261 |
SARS | 217 |
Health | 203 |
HIV | 150 |
March | 146 |
Fig | 138 |
CoV-2 | 135 |
Asia | 130 |
HealthWISE | 125 |
World | 106 |
National | 96 |
United | 93 |
April | 92 |
US | 92 |
North | 88 |
Seoul | 85 |
Coronavirus | 84 |
East | 82 |
ASFV | 82 |
States | 79 |
India | 79 |
University | 78 |
Research | 78 |
Italy | 78 |
February | 77 |
KCDC | 76 |
May | 68 |
Table | 68 |
Singapore | 67 |
Qukezwa | 65 |
August | 64 |
REC | 63 |
African | 63 |
AGYW | 63 |
Prevention | 62 |
A1c | 62 |
Organization | 61 |
Disease | 61 |
USA | 60 |
Province | 60 |
Hospital | 60 |
America | 59 |
January | 59 |
• | 57 |
New | 57 |
Mozambique | 57 |
June | 57 |
Canada | 57 |
Control | 56 |
Republic | 54 |
Global | 54 |
Cape | 54 |
Zimbabwe | 53 |
Wuhan | 53 |
International | 53 |
Hong | 52 |
A | 52 |
Camagu | 51 |
RE | 51 |
Government | 50 |
Daegu | 50 |
July | 50 |
UK | 49 |
MERS | 48 |
Kong | 48 |
Asians | 48 |
Japan | 47 |
Morris | 46 |
Europe | 46 |
Luc | 44 |
Insurance | 43 |
IPV | 43 |
PCR | 43 |
September | 42 |
Bhonco | 42 |
sha | 41 |
Ministry | 41 |
Focus | 41 |
Center | 41 |
Institute | 40 |
Department | 40 |
DOI | 40 |
C | 40 |
Education | 38 |
Development | 38 |
Cambridge | 38 |
D | 37 |
PLCA | 37 |
OHS | 36 |
Kim | 36 |
Texas | 36 |
J | 35 |
HAdV-55 | 35 |
Kivu | 34 |
Centers | 34 |
FAO | 33 |
Bank | 33 |
Diabetes | 32 |
Covid-19 | 32 |
Conroy | 32 |
GDP | 32 |
Western | 32 |
U.S. | 32 |
Program | 31 |
HIV-1 | 31 |
AIDS | 31 |
Mda | 30 |
Gauteng | 30 |
TB | 30 |
Voronoi | 29 |
Data | 29 |
B | 29 |
Ubuntu | 28 |
Medical | 28 |
H1N1 | 28 |
CC | 28 |
Capstone | 27 |
Latin | 27 |
Appendix | 27 |
December | 27 |
Americans | 27 |
M | 27 |
Public | 27 |
T | 27 |
zoe | 27 |
Park | 27 |
Incheon | 26 |
Derrida | 26 |
F | 26 |
Heart | 26 |
MED | 26 |
Social | 26 |
Taiwan | 26 |
X | 26 |
Science | 25 |
Review | 25 |
Lee | 25 |
Group | 25 |
Africans | 25 |
Middle | 24 |
Care | 24 |
Guangdong | 24 |
Passenger | 24 |
Qolorha | 24 |
SRH | 24 |
Community | 23 |
Yang | 23 |
SA | 23 |
Reluctant | 23 |
Nick | 23 |
Minister | 23 |
Human | 23 |
Figure | 23 |
Central | 23 |
CVR | 23 |
CI | 23 |
City | 22 |
Dalton | 22 |
KZN | 22 |
Chinese | 22 |
Gyeonggi | 22 |
Wales | 22 |
R | 22 |
Samsung | 22 |
Swiss | 22 |
Rights | 22 |
Le | 21 |
Act | 21 |
Association | 21 |
Bangladesh | 21 |
CYCC | 21 |
Economic | 21 |
Food | 21 |
Gerhard | 21 |
Germany | 21 |
21 | |
Kenya | 21 |
M. | 21 |
Mexico | 21 |
NOIC | 21 |
Nairobi | 21 |
Oswald | 21 |
President | 21 |
Shincheonji | 21 |
State | 21 |
Vietnam | 21 |
Welfare | 21 |
Asian | 20 |
Heyns | 20 |
BCG | 20 |
Centre | 20 |
Healthy | 20 |
Spain | 20 |
Journal | 20 |
West | 20 |
Life | 20 |
Natal | 20 |
KwaZulu | 19 |
sars | 19 |
Dong | 19 |
Ebola | 19 |
Impact | 19 |
J. | 19 |
Deleuze | 19 |
Management | 19 |
OECD | 19 |
OSA | 19 |
RISP | 19 |
i | 19 |
medRxiv | 19 |
Brazil | 18 |
D. | 18 |
DRC | 18 |
Malaria | 18 |
P. | 18 |
Patient | 18 |
Respiratory | 18 |
Town | 18 |
nan | 18 |
English | 17 |
ASF | 17 |
American | 17 |
Commission | 17 |
Congo | 17 |
Ecuador | 17 |
Law | 17 |
Korean | 17 |
Study | 17 |
Syndrome | 17 |
Technology | 17 |
York | 17 |
Model | 17 |
Report | 16 |
Alzheimer | 16 |
Baldassar | 16 |
CD | 16 |
Democratic | 16 |
Limpopo | 16 |
European | 16 |
Saharan | 16 |
Southern | 16 |
System | 16 |
Tomlinson | 16 |
UN | 16 |
Uganda | 16 |
Fund | 15 |
AFRI | 15 |
AI | 15 |
Assessment | 15 |
Australia | 15 |
Children | 15 |
Columbia | 15 |
Creative | 15 |
Cumming | 15 |
France | 15 |
S1 | 15 |
G | 15 |
Johannesburg | 15 |
Metropolitan | 15 |
Risk | 15 |
mid | 15 |
Thailand | 15 |
Times | 15 |
Wolfe | 15 |
Hubei | 15 |
Foundation | 14 |
IRD | 14 |
ICT | 14 |
Grange | 14 |
GenBank | 14 |
Analysis | 14 |
Commons | 14 |
CoV | 14 |
Church | 14 |
Kahlor | 14 |
Innovation | 14 |
Nature | 14 |
Wang | 14 |
S. | 14 |
Safety | 14 |
School | 14 |
Sejong | 14 |
Services | 14 |
Sleep | 14 |
Union | 14 |
WHO | 14 |
Response | 14 |
Wright | 14 |
Caribbeans | 13 |
General | 13 |
G. | 13 |
Child | 13 |
Information | 13 |
C. | 13 |
British | 13 |
BY | 13 |
Gyeongbuk | 13 |
der | 13 |
Joyce | 13 |
PAstV | 13 |
Pakistan | 13 |
Questionnaire | 13 |
Shelly | 13 |
Smith | 13 |
Valley | 13 |
chemoprophylaxis | 13 |
Mpumalanga | 13 |
Disaster | 12 |
Guattari | 12 |
Geneva | 12 |
GMO | 12 |
Ethics | 12 |
Environment | 12 |
Alliance | 12 |
Director | 12 |
Committee | 12 |
Braidotti | 12 |
< | 12 |
N | 12 |
Likert | 12 |
Johnson | 12 |
NC | 12 |
Society | 12 |
currere | 12 |
Zim | 12 |
Treasury | 12 |
Survey | 12 |
Supplementary | 12 |
Transmission | 12 |
Rt | 12 |
Pandemic | 12 |
PA | 12 |
October | 12 |
Network | 12 |
Cov | 11 |
Financial | 11 |
Emergency | 11 |
Eastern | 11 |
EU | 11 |
Diseases | 11 |
DASS | 11 |
ADA | 11 |
Cattle | 11 |
Brick | 11 |
Brauch | 11 |
Animal | 11 |
Administration | 11 |
Action | 11 |
Gyeongsangbuk | 11 |
Guidelines | 11 |
Evaluation | 11 |
Hydroxychloroquine | 11 |
Nongqawuse | 11 |
Xhosa | 11 |
II | 11 |
Woodward | 11 |
UNDP | 11 |
Sudan | 11 |
RNA | 11 |
Pesaran | 11 |
SD | 11 |
Mobility | 11 |
MSA | 11 |
Kurzweil | 11 |
Initiative | 11 |
Influenza | 11 |
Index | 11 |
Inc. | 11 |
Executive | 10 |
MVA | 10 |
Merwe | 10 |
MG | 10 |
L. | 10 |
Kingdom | 10 |
Kafka | 10 |
HAdV | 10 |
Future | 10 |
BMI | 10 |
Europeans | 10 |
Energy | 10 |
Cov-2 | 10 |
Council | 10 |
Colombia | 10 |
Change | 10 |
COVID | 10 |
Area | 10 |
Murshed | 10 |
Moon | 10 |
Protection | 10 |
ND | 10 |
Surveillance | 10 |
NRE | 10 |
van | 10 |
rd | 10 |
astrovirus | 10 |
Zhou | 10 |
Young | 10 |
Ward | 10 |
Trends | 10 |
azithromycin | 10 |
Sri | 10 |
NSW | 10 |
Programme | 10 |
Pinar | 10 |
PARiHS | 10 |
Nussbaum | 10 |
Novel | 10 |
Region | 10 |
Framework | 9 |
Griffin | 9 |
Gu | 9 |
Gwangju | 9 |
HM | 9 |
Implementation | 9 |
Healthcare | 9 |
High | 9 |
Ignacio | 9 |
Indonesia | 9 |
Iran | 9 |
EC | 9 |
Educational | 9 |
CCEMG | 9 |
E. | 9 |
DNA | 9 |
Crl | 9 |
Cohen | 9 |
Canadian | 9 |
Campesina | 9 |
CDC | 9 |
CD2v | 9 |
Land | 9 |
C.1 | 9 |
Baker | 9 |
B646L | 9 |
Air | 9 |
8) | 9 |
Israel | 9 |
Haraway | 9 |
Lanka | 9 |
Studies | 9 |
Levine | 9 |
| | 9 |
health | 9 |
genotype | 9 |
fi | 9 |
Women | 9 |
Vaccine | 9 |
Uvira | 9 |
Urban | 9 |
Ulsan | 9 |
Tronto | 9 |
T2DM | 9 |
Sustainability | 9 |
Van | 9 |
Statistics | 9 |
Paris | 9 |
MAC | 9 |
Special | 9 |
MOHW | 9 |
NGOs | 9 |
Northern | 9 |
News | 9 |
Policy | 9 |
Quality | 9 |
Regulations | 9 |
Silicon | 9 |
Spanish | 9 |
Finance | 8 |
I73R | 8 |
Free | 8 |
Good | 8 |
Growth | 8 |
Guardian | 8 |
Hall | 8 |
I329L | 8 |
Institutional | 8 |
IMF | 8 |
IX | 8 |
Indians | 8 |
Infectious | 8 |
Jung | 8 |
Malaysia | 8 |
Epidemiology | 8 |
Family | 8 |
Based | 8 |
England | 8 |
Chile | 8 |
Muslims | 8 |
Arabia | 8 |
Areas | 8 |
Board | 8 |
CSCW | 8 |
Casimiro | 8 |
Clements | 8 |
E | 8 |
Conservation | 8 |
Corona | 8 |
Crisis | 8 |
Daily | 8 |
De | 8 |
Dissemination | 8 |
Mental | 8 |
Peru | 8 |
NW | 8 |
Shim | 8 |
Step | 8 |
Stress | 8 |
Tanzania | 8 |
Taylor | 8 |
Updates | 8 |
V. | 8 |
Wallinga | 8 |
Wilding | 8 |
Zurbruegg | 8 |
author(s | 8 |
biennia | 8 |
bp | 8 |
pp | 8 |
remdesivir | 8 |
ORF2 | 8 |
Springer | 8 |
Zakes | 8 |
Saudi | 8 |
Population | 8 |
Sandra | 8 |
Occupational | 8 |
PQ-16 | 8 |
Pacific | 8 |
st | 8 |
Planning | 8 |
People | 8 |
Press | 8 |
Prisons | 8 |
R. | 8 |
RSA | 8 |
Reports | 8 |
Post | 8 |
SMA | 8 |
Foucault | 7 |
HAI | 7 |
Hospitals | 7 |
Hargreaves | 7 |
HIRA | 7 |
Freud | 7 |
H5N1 | 7 |
H. | 7 |
ILO | 7 |
Hye | 7 |
Kang | 7 |
IUCN | 7 |
Indian | 7 |
Informal | 7 |
Interventions | 7 |
JS | 7 |
K. | 7 |
KR | 7 |
Killing | 7 |
Fisher | 7 |
Fleisch | 7 |
Agriculture | 7 |
Durban | 7 |
Depression | 7 |
A&M | 7 |
ALERT | 7 |
Agency | 7 |
LMIC | 7 |
Airport | 7 |
Anxiety | 7 |
Attribution | 7 |
B.1.106 | 7 |
Basic | 7 |
Beijing | 7 |
Burundi | 7 |
CCTV | 7 |
CMP | 7 |
Chap | 7 |
Coetzee | 7 |
Countries | 7 |
Country | 7 |
Curriculum | 7 |
Daejeon | 7 |
Koreans | 7 |
John | 7 |
Leila | 7 |
Vancouver | 7 |
STAI | 7 |
Sciences | 7 |
Self | 7 |
Statistical | 7 |
Sweden | 7 |
TRS | 7 |
Team | 7 |
Testing | 7 |
Treatment | 7 |
Vice | 7 |
Release | 7 |
WC | 7 |
Whale | 7 |
_ | 7 |
amaXhosa | 7 |
doc_id | 7 |
gu | 7 |
mesoscopic | 7 |
−0.12 | 7 |
Li | 7 |
SABRE | 7 |
Tiger | 7 |
Re | 7 |
NOM | 7 |
RELIEVED | 7 |
Medicine | 7 |
Merla | 7 |
Mers | 7 |
Methods | 7 |
Mobile | 7 |
Movement | 7 |
NFHCRD | 7 |
NGO | 7 |
McCarthy | 7 |
Nigeria | 7 |
Pacifi | 7 |
Plan | 7 |
Peires | 7 |
Pan | 7 |
Premier | 7 |
PSS | 7 |
PPA | 7 |
PAHO | 7 |
Feeley | 6 |
Independent | 6 |
Forum | 6 |
Gallardo | 6 |
God | 6 |
Great | 6 |
HAdV-4 | 6 |
HBV | 6 |
HNC | 6 |
Hofstede | 6 |
IRB | 6 |
Issues | 6 |
Infrastructure | 6 |
Int | 6 |
Isolation | 6 |
F. | 6 |
Judge | 6 |
LA | 6 |
LCOE | 6 |
Lai | 6 |
Literature | 6 |
Lockdown | 6 |
Federation | 6 |
AIM | 6 |
Epidemic | 6 |
Charmaz | 6 |
Loneliness | 6 |
ARI | 6 |
Aloe | 6 |
Ausangate | 6 |
B602L | 6 |
Campus | 6 |
Caribbean | 6 |
Case | 6 |
Chan | 6 |
College | 6 |
Environ | 6 |
Context | 6 |
CrI | 6 |
Cronbach | 6 |
Cross | 6 |
Drug | 6 |
E183L | 6 |
Earth | 6 |
Effectiveness | 6 |
Egypt | 6 |
London | 6 |
River | 6 |
MCMC | 6 |
Rwanda | 6 |
Schulze | 6 |
Security | 6 |
Shiva | 6 |
Smart | 6 |
Stanford | 6 |
Statement | 6 |
T. | 6 |
TNE | 6 |
Technical | 6 |
Term | 6 |
Torture | 6 |
Trade | 6 |
Transport | 6 |
Trump | 6 |
VA | 6 |
Victoria | 6 |
XDR | 6 |
Xoliswa | 6 |
mt | 6 |
MOLIT | 6 |
μg | 6 |
S2 | 6 |
WTO | 6 |
Rodrik | 6 |
PM | 6 |
Maartens | 6 |
MTEF | 6 |
Roddy | 6 |
Marques | 6 |
Molecular | 6 |
Mycobacterium | 6 |
N. | 6 |
Number | 6 |
Organisation | 6 |
Oxford | 6 |
Media | 6 |
PPE | 6 |
Rhodes | 6 |
Pickover | 6 |
Pretoria | 6 |
Prison | 6 |
Quarantine | 6 |
RdRp | 6 |
Payne | 6 |
Rincón | 6 |
EHR | 5 |
HAdVs | 5 |
H2 | 5 |
Guérin | 5 |
Governance | 5 |
Gil | 5 |
George | 5 |
Force | 5 |
Gender | 5 |
Gazette | 5 |
G7 | 5 |
Flu | 5 |
Escuela | 5 |
EpiEstim | 5 |
Empowerment | 5 |
Hemisphere | 5 |
Emerg | 5 |
Harry | 5 |
Kalehe | 5 |
Hub | 5 |
ICTs | 5 |
Lwando | 5 |
Dr. | 5 |
Libya | 5 |
Lesotho | 5 |
Latour | 5 |
Lancet | 5 |
Lake | 5 |
Labour | 5 |
LS | 5 |
Kyungbook | 5 |
K | 5 |
Jamieson | 5 |
Jae | 5 |
Indicators | 5 |
Imperial | 5 |
Immunization | 5 |
INNSZ | 5 |
ECQ | 5 |
CADF | 5 |
Donald | 5 |
District | 5 |
Britain | 5 |
Brent | 5 |
Box | 5 |
Bowker | 5 |
Bode | 5 |
Blumberg | 5 |
Black | 5 |
Big | 5 |
Barrat | 5 |
Bancassurance | 5 |
Apergis | 5 |
Apartheid | 5 |
Americas | 5 |
Amendment | 5 |
Alert | 5 |
Access | 5 |
Master | 5 |
CG | 5 |
CO | 5 |
Cabinet | 5 |
Correctional | 5 |
Dis | 5 |
Digital | 5 |
Damette | 5 |
DR | 5 |
DHF | 5 |
DEFF | 5 |
Critical | 5 |
Contact | 5 |
Cadena | 5 |
Communication | 5 |
Co | 5 |
Clinical | 5 |
Chthulucene | 5 |
Chief | 5 |
Calmette | 5 |
Caller | 5 |
MNE | 5 |
UNICEF | 5 |
Medium | 5 |
Skype | 5 |
Wood | 5 |
WiFi | 5 |
Weiner | 5 |
Vraga | 5 |
Virus | 5 |
Venezuela | 5 |
UCLA | 5 |
U | 5 |
Trust | 5 |
ToT | 5 |
Teunis | 5 |
Sustainable | 5 |
Street | 5 |
Strategy | 5 |
Stone | 5 |
Spring | 5 |
Spread | 5 |
Workers | 5 |
Worldometer | 5 |
Wu | 5 |
lopinavir | 5 |
Modeling | 5 |
− | 5 |
⁎⁎⁎ | 5 |
www.nature.com/nrmicro | 5 |
social | 5 |
rst | 5 |
ritonavir | 5 |
lnRGDP | 5 |
Year | 5 |
lnRES | 5 |
https://doi.org/10.1101/2020.03.09.20033464 | 5 |
east | 5 |
chap | 5 |
a1111111111 | 5 |
Zhang | 5 |
Zaire | 5 |
Southall | 5 |
disease | 5 |
Sinosphere | 5 |
Nepal | 5 |
Ontario | 5 |
Online | 5 |
OMOP | 5 |
Nueva | 5 |
November | 5 |
Nipah | 5 |
Netherlands | 5 |
Nations | 5 |
PLCAs | 5 |
NYVAC | 5 |
Myanmar | 5 |
Mwenga | 5 |
Muungano | 5 |
Mukuru | 5 |
Service | 5 |
Mrs. | 5 |
Outbreak | 5 |
Nation | 5 |
Palomo | 5 |
REvisited | 5 |
SDI | 5 |
Scale | 5 |
Pearson | 5 |
S | 5 |
Resistance | 5 |
RSS | 5 |
RQ2 | 5 |
ROILP | 5 |
RVF | 5 |
RCT | 5 |
Prodromal | 5 |
Quaternary | 5 |
Project | 5 |
Preventive | 5 |
Professor | 5 |
Prime | 5 |
Fiction | 4 |
Finch | 4 |
Foreign | 4 |
Freedom | 4 |
GCD | 4 |
GC | 4 |
Garuba | 4 |
GMM | 4 |
GNI | 4 |
Gautam | 4 |
Feb | 4 |
Festival | 4 |
El | 4 |
Fang | 4 |
Extract | 4 |
Ethiopia | 4 |
Esho | 4 |
Epidemiological | 4 |
Emanuel | 4 |
Elmore | 4 |
Edward | 4 |
EF | 4 |
Dynamics | 4 |
Dumitrescu | 4 |
Geoderma | 4 |
Diaries | 4 |
Genentech | 4 |
Interior | 4 |
Ghosh | 4 |
Glass | 4 |
Del | 4 |
King | 4 |
Kata | 4 |
Justice | 4 |
Jin | 4 |
Jewkes | 4 |
Janssen | 4 |
Jan | 4 |
JICS | 4 |
JB | 4 |
Insulin | 4 |
Inha | 4 |
Infection | 4 |
Improvement | 4 |
IPC | 4 |
Homo | 4 |
Handbook | 4 |
HAdV-7 | 4 |
H1 | 4 |
Gyunggi | 4 |
Gxagxa | 4 |
Guterres | 4 |
Greater | 4 |
Granger | 4 |
Goyang | 4 |
Dhaka | 4 |
B.1.1.54 | 4 |
Declaration | 4 |
David | 4 |
Borcard | 4 |
Biosciences | 4 |
Biologics | 4 |
Biggs | 4 |
Beck | 4 |
Bayesian | 4 |
BC | 4 |
BBC | 4 |
B. | 4 |
Award | 4 |
Autio | 4 |
Argentina | 4 |
Applied | 4 |
Apple | 4 |
Antonia | 4 |
Anopheles | 4 |
Agreement | 4 |
Affairs | 4 |
Advancement | 4 |
Abhijeet | 4 |
AMG | 4 |
ALVAC | 4 |
ABC | 4 |
A. | 4 |
Knowledge | 4 |
Brown | 4 |
Budget | 4 |
Busan | 4 |
Cheongdo | 4 |
Datnow | 4 |
Daniel | 4 |
Cyclone | 4 |
Cox | 4 |
Confucius | 4 |
Computing | 4 |
Comparative | 4 |
Climate | 4 |
Clarke | 4 |
Christian | 4 |
Chi | 4 |
Chaebol | 4 |
C1 | 4 |
Chaaya | 4 |
ChAdOx1 | 4 |
Cella | 4 |
Caminero | 4 |
Cambodia | 4 |
California | 4 |
CRAM | 4 |
CONICYT | 4 |
CCL | 4 |
CBHEC | 4 |
CA | 4 |
Klein | 4 |
Hurlin | 4 |
Kyung | 4 |
Wald | 4 |
Vorster | 4 |
Viral | 4 |
Universal | 4 |
Unbelievers | 4 |
USDA | 4 |
Tuberculosis | 4 |
Trinidad | 4 |
Trial | 4 |
Training | 4 |
Tobago | 4 |
TGEV | 4 |
Swine | 4 |
Support | 4 |
Sun | 4 |
Summit | 4 |
Stuxnet | 4 |
Strategic | 4 |
Stats | 4 |
Standard | 4 |
Sovereignty | 4 |
Somalia | 4 |
Senegal | 4 |
Sect | 4 |
Seattle | 4 |
Sea | 4 |
W | 4 |
Walungu | 4 |
Sci | 4 |
Waner | 4 |
LC | 4 |
uenza | 4 |
tocilizumab | 4 |
sciences | 4 |
meta | 4 |
meso | 4 |
linen | 4 |
isiZulu | 4 |
inter | 4 |
infectee | 4 |
hydroxychloroquine | 4 |
https:// | 4 |
effi | 4 |
ed | 4 |
covid-19 | 4 |
bank | 4 |
affl | 4 |
Zambia | 4 |
YouTube | 4 |
Wolfson | 4 |
Whitney | 4 |
Westerlund | 4 |
4 | |
Washington | 4 |
War | 4 |
Scott | 4 |
nd | 4 |
Schmidt | 4 |
PEDV | 4 |
OC43 | 4 |
Note | 4 |
NSNP | 4 |
NPM | 4 |
NGS | 4 |
Muslim | 4 |
Mumbai | 4 |
Mr. | 4 |
Microbiology | 4 |
⁎⁎⁎⁎⁎ | 4 |
Measures | 4 |
McAllen | 4 |
Mbembe | 4 |
Mathare | 4 |
Mash | 4 |
Marxism | 4 |
Markets | 4 |
Mar | 4 |
Mann | 4 |
MT | 4 |
Livestock | 4 |
License | 4 |
Laura | 4 |
Santangelo | 4 |
LSDV | 4 |
Obstructive | 4 |
Lewis | 4 |
PRISM | 4 |
R(t | 4 |
SSN | 4 |
Parker | 4 |
SOLIDARITY | 4 |
SDG | 4 |
SADTU | 4 |
SAA | 4 |
Rules | 4 |
Rotavirus | 4 |
Rossana | 4 |
Renewable | 4 |
Regional | 4 |
RT | 4 |
SEIR | 4 |
Question | 4 |
Philippines | 4 |
Peoples | 4 |
Product | 4 |
Paulo | 4 |
PhD | 4 |
Petrus | 4 |
PolyMod | 4 |
Poor | 4 |
Postcolonial | 4 |
Practice | 4 |
Prize | 4 |
Fontenay | 3 |
Foster | 3 |
GPS | 3 |
Franco | 3 |
Frank | 3 |
Freedman | 3 |
French | 3 |
G20 | 3 |
GAR | 3 |
GM | 3 |
GMT | 3 |
Grant | 3 |
Gabriel | 3 |
García | 3 |
GitHub | 3 |
Gong | 3 |
Green | 3 |
Grey | 3 |
Guayaquil | 3 |
Guo | 3 |
Guro | 3 |
H3 | 3 |
HCoV | 3 |
HCov | 3 |
Fizi | 3 |
Environmental | 3 |
Fishery | 3 |
Effect | 3 |
Diamond | 3 |
HR | 3 |
Disparities | 3 |
Distress | 3 |
Division | 3 |
Dr | 3 |
Dray | 3 |
EAB | 3 |
ELISA | 3 |
ES | 3 |
Editor | 3 |
Elimination | 3 |
Fisheries | 3 |
Emerging | 3 |
Emissions | 3 |
Esidimeni | 3 |
Eskom | 3 |
Ethical | 3 |
Expenditure | 3 |
3 | |
Factors | 3 |
Faculty | 3 |
Fair | 3 |
Fighters | 3 |
HDI | 3 |
Ji | 3 |
HWs | 3 |
Joyner | 3 |
Kabare | 3 |
Kaplan | 3 |
Kavya | 3 |
Keil | 3 |
Kingdon | 3 |
Kosner | 3 |
Kruger | 3 |
Kuhn | 3 |
LM | 3 |
LTFU | 3 |
La | 3 |
Lab | 3 |
Laboratories | 3 |
Laboratory | 3 |
Leggat | 3 |
Leicester | 3 |
Level | 3 |
Literacy | 3 |
Liu | 3 |
Location | 3 |
Lockdowns | 3 |
Loffell | 3 |
Determinants | 3 |
Jun | 3 |
Jones | 3 |
Haartshorn | 3 |
Jesus | 3 |
Hatcher | 3 |
Hauser | 3 |
Head | 3 |
Helen | 3 |
Hiles | 3 |
Hollywood | 3 |
Humanitarian | 3 |
I(t | 3 |
I. | 3 |
IAP | 3 |
ID | 3 |
IIED | 3 |
INEGI | 3 |
Imai | 3 |
Income | 3 |
Institutes | 3 |
Integrated | 3 |
Interview | 3 |
Inventory | 3 |
Investigation | 3 |
Ising | 3 |
Islands | 3 |
Itaewon | 3 |
Devakumar | 3 |
Botswana | 3 |
Detention | 3 |
Believers | 3 |
Animals | 3 |
Ann | 3 |
Anthropocene | 3 |
Asad | 3 |
Associated | 3 |
Astrovirus | 3 |
Austin | 3 |
Azithromycin | 3 |
B.1.1.56 | 3 |
BSE | 3 |
Baudrillard | 3 |
Benjamin | 3 |
Deputy | 3 |
Berg | 3 |
Biosystems | 3 |
Biotech | 3 |
Biotechnology | 3 |
Biovac | 3 |
Bird | 3 |
Blood | 3 |
Blue | 3 |
Books | 3 |
Boston | 3 |
Lung | 3 |
Animality | 3 |
Angeles | 3 |
An | 3 |
Amazon | 3 |
= | 3 |
AABNAABA | 3 |
ABI | 3 |
ACE2 | 3 |
ACHPR | 3 |
AD | 3 |
ADE | 3 |
AEFJN | 3 |
AGI | 3 |
AIC | 3 |
ARDS | 3 |
AY | 3 |
Aaliyah | 3 |
Abiodun | 3 |
Activity | 3 |
Adenovirus | 3 |
Adjunctive | 3 |
Advocacy | 3 |
Agile | 3 |
Agricultural | 3 |
Algeria | 3 |
Ali | 3 |
Amanda | 3 |
Briefing | 3 |
Brooks | 3 |
Bujang | 3 |
Cluster | 3 |
Confucianism | 3 |
Congress | 3 |
Constitution | 3 |
Consumption | 3 |
Convention | 3 |
Cook | 3 |
Cori | 3 |
Corrie | 3 |
Court | 3 |
Covasim | 3 |
Critique | 3 |
Cultural | 3 |
Cyril | 3 |
DH | 3 |
DHS | 3 |
DSMES | 3 |
Daenam | 3 |
Daniels | 3 |
Database | 3 |
Davids | 3 |
Dean | 3 |
Delhi | 3 |
Democracy | 3 |
Comfort | 3 |
Cities | 3 |
Burden | 3 |
Christianity | 3 |
Bureau | 3 |
C3 | 3 |
CCA | 3 |
CD2V | 3 |
CD4 | 3 |
CD8 | 3 |
CHWs | 3 |
CIPS | 3 |
CLOC | 3 |
CLUSTAL | 3 |
Calgary | 3 |
Capital | 3 |
Carlo | 3 |
Caroline | 3 |
Cary | 3 |
Castley | 3 |
Census | 3 |
Challenge | 3 |
Challenges | 3 |
Champions | 3 |
Chancellor | 3 |
Chatterjee | 3 |
Chowell | 3 |
Los | 3 |
Applications | 3 |
MINCOMBUD | 3 |
São | 3 |
Southwell | 3 |
Spaull | 3 |
Standards | 3 |
Station | 3 |
Stoll | 3 |
Structure | 3 |
Su | 3 |
Sub | 3 |
Subcommittee | 3 |
Sunday | 3 |
Systems | 3 |
Tang | 3 |
Turkey | 3 |
Tariff | 3 |
Tariq | 3 |
Task | 3 |
Tech | 3 |
Tibesigwa | 3 |
Tigers | 3 |
Tillin | 3 |
Tool | 3 |
Tracing | 3 |
Tracker | 3 |
Transition | 3 |
Song | 3 |
Small | 3 |
Skerrett | 3 |
Sing | 3 |
Rocha | 3 |
Rossi | 3 |
Royal | 3 |
Russell | 3 |
Ryu | 3 |
S3 | 3 |
SAP | 3 |
SArS | 3 |
SE | 3 |
SNS | 3 |
SSA | 3 |
Sadorsky | 3 |
Sahara | 3 |
San | 3 |
Screening | 3 |
Segal | 3 |
Sensitivity | 3 |
Settlement | 3 |
Sewlall | 3 |
Shah | 3 |
Sharing | 3 |
Shenzhen | 3 |
Shirley | 3 |
Tsing | 3 |
VPM | 3 |
Robotics | 3 |
son | 3 |
https://data.ohdsi.org/Covid19CharacterizationCharybdis/ | 3 |
isomi | 3 |
k. | 3 |
lnRELEC | 3 |
malaria | 3 |
mean | 3 |
metformin | 3 |
mmol | 3 |
poxvirus | 3 |
serogroup | 3 |
signifi | 3 |
south | 3 |
Vaccination | 3 |
t. | 3 |
umifenovir | 3 |
vi | 3 |
ws | 3 |
wuhan | 3 |
xxxx | 3 |
Čermák | 3 |
−.002 | 3 |
김아름 | 3 |
� | 3 |
MLP | 3 |
h. | 3 |
general | 3 |
drivethrough | 3 |
disease-2019 | 3 |
Value | 3 |
Vhembe | 3 |
Visser | 3 |
WIEGO | 3 |
Wellcome | 3 |
Wendy | 3 |
Wengraf | 3 |
White | 3 |
Widow | 3 |
William | 3 |
Workplace | 3 |
YK | 3 |
Youth | 3 |
Z | 3 |
Zealand | 3 |
Zerubavel | 3 |
Zhihu | 3 |
Zhu | 3 |
Zuma | 3 |
association | 3 |
control | 3 |
defi | 3 |
development | 3 |
Robust | 3 |
Via | 3 |
Ro | 3 |
NPIs | 3 |
Modiba | 3 |
Monte | 3 |
Moynihan | 3 |
Multiple | 3 |
Muntingh | 3 |
N;T | 3 |
NHLBI | 3 |
NI | 3 |
NIDS | 3 |
NL63 | 3 |
NMF | 3 |
Namibia | 3 |
Office | 3 |
Neil | 3 |
Neo | 3 |
Networks | 3 |
Nicotiana | 3 |
Nomsa | 3 |
Normile | 3 |
Nutrition | 3 |
OGTT | 3 |
OHASIS | 3 |
OPCAT | 3 |
Obesity | 3 |
Models | 3 |
Minor | 3 |
Mhlobo | 3 |
Mei | 3 |
Ma | 3 |
Rift | 3 |
Macau | 3 |
Macrogen | 3 |
Madagascar | 3 |
Malawi | 3 |
Malmquist | 3 |
Malone | 3 |
Mamastrovirus | 3 |
Maps | 3 |
Margarita | 3 |
Martha | 3 |
Martin | 3 |
Marx | 3 |
Mathews | 3 |
Maunder | 3 |
Maverick | 3 |
Max | 3 |
McHattie | 3 |
McKenzie | 3 |
Means | 3 |
Mechanism | 3 |
Mechanisms | 3 |
Oedipus | 3 |
Minimum | 3 |
Omohundro | 3 |
Psychology | 3 |
Portugal | 3 |
Practices | 3 |
Pre | 3 |
Preparedness | 3 |
Princess | 3 |
Prisoners | 3 |
Property | 3 |
Protocol | 3 |
Provinces | 3 |
Provincial | 3 |
Psychological | 3 |
RD | 3 |
Police | 3 |
Radio | 3 |
Ramaphosa | 3 |
Rapid | 3 |
Ray | 3 |
Redness | 3 |
Rep | 3 |
Res | 3 |
Resilience | 3 |
Open | 3 |
Resources | 3 |
Results | 3 |
Polytechnic | 3 |
Psychiatric | 3 |
P72 | 3 |
Partnership | 3 |
Optum | 3 |
Poisson | 3 |
Outreville | 3 |
P | 3 |
P1 | 3 |
P54 | 3 |
PAstVs | 3 |
PIPA | 3 |
PMALF | 3 |
PPP | 3 |
POIL | 3 |
Optional | 3 |
Performance | 3 |
Pneumonia | 3 |
Platform | 3 |
Petroleum | 3 |
Petersen | 3 |
Pasquini | 3 |
Perrow | 3 |
Perception | 3 |
Perceived | 3 |
Patients | 3 |
Ground | 2 |
Groups | 2 |
Gulf | 2 |
Gupte | 2 |
Gumel | 2 |
Gupta | 2 |
Genotype | 2 |
Gyungsang | 2 |
H | 2 |
H.C.K. | 2 |
H17 | 2 |
Greenhouse | 2 |
H1N1pdm | 2 |
Gross | 2 |
Glasius | 2 |
Gray | 2 |
Graduate | 2 |
Grace | 2 |
Govere | 2 |
Gorelick | 2 |
Goals | 2 |
Gnagnarella | 2 |
Genomics | 2 |
Glucose | 2 |
Globe | 2 |
Gini | 2 |
Geun | 2 |
HAdV-14 | 2 |
H2a | 2 |
Hinton | 2 |
HAdV-3 | 2 |
Hee | 2 |
Holmes | 2 |
Gen | 2 |
Hochfeld | 2 |
History | 2 |
Hispanics | 2 |
Hindus | 2 |
Hindu | 2 |
Hermann | 2 |
Herbert | 2 |
Hens | 2 |
Henry | 2 |
Heitsi | 2 |
Hebei | 2 |
HCI | 2 |
Hayley | 2 |
Harvey | 2 |
Harder | 2 |
Hameleers | 2 |
Halley | 2 |
Hallelujah | 2 |
Haiti | 2 |
HW | 2 |
HUGE | 2 |
HTA | 2 |
HPD | 2 |
HKU1 | 2 |
Genome | 2 |
Enterprise | 2 |
Gaze | 2 |
Gawande | 2 |
Fake | 2 |
Fairchild | 2 |
FWPV | 2 |
FTA | 2 |
FMOLS | 2 |
FME | 2 |
FGDs | 2 |
FDA | 2 |
F(5,345 | 2 |
F(2,348 | 2 |
Exploratory | 2 |
Exploration | 2 |
Existential | 2 |
Evidence | 2 |
Event | 2 |
Ethnic | 2 |
Estimating | 2 |
Eq | 2 |
Entry | 2 |
Enterprises | 2 |
Engineering | 2 |
Endowment | 2 |
Endocrine | 2 |
Employment | 2 |
Embedded | 2 |
Ellis | 2 |
Homeless | 2 |
Faso | 2 |
Fava | 2 |
Feng | 2 |
Fraser | 2 |
Gap | 2 |
Gambia | 2 |
Gaia | 2 |
GISAID | 2 |
GCrF | 2 |
GASTACATGAA-3′ | 2 |
G4 | 2 |
G3 | 2 |
Futures | 2 |
Front | 2 |
Friston | 2 |
Frequency | 2 |
Francisco | 2 |
Ferguson | 2 |
Fourth | 2 |
Forestry | 2 |
Forecasting | 2 |
Ford | 2 |
Forces | 2 |
Flores | 2 |
Fleiss | 2 |
Fleischack | 2 |
Fischer | 2 |
First | 2 |
Figs | 2 |
Fever | 2 |
Home | 2 |
Lim | 2 |
Honghu | 2 |
Landman | 2 |
Lagos | 2 |
LN | 2 |
L | 2 |
Kwa | 2 |
Koselleck | 2 |
Korogocho | 2 |
Kordasiewicz | 2 |
Kisumu | 2 |
Kimura | 2 |
Kibera | 2 |
Kerr | 2 |
Kerala | 2 |
Kenefick | 2 |
Kawasaki | 2 |
Kashmir | 2 |
Karnataka | 2 |
Karl | 2 |
Karim | 2 |
Kampala | 2 |
Kalichman | 2 |
Kaldor | 2 |
Kagee | 2 |
KSA | 2 |
KRW | 2 |
KRISP | 2 |
KIF | 2 |
KB | 2 |
Lagrange | 2 |
Lang | 2 |
Honours | 2 |
Langholz | 2 |
MIT | 2 |
MEGAN | 2 |
MEGA | 2 |
MCL | 2 |
MA | 2 |
M&C | 2 |
Lu | 2 |
Ltd. | 2 |
Low | 2 |
Lovibond | 2 |
Lorizzo | 2 |
Local | 2 |
Littleton | 2 |
Eliezer | 2 |
Library | 2 |
Liability | 2 |
Lesley | 2 |
Les | 2 |
Leibbrandt | 2 |
Legislature | 2 |
Learning | 2 |
Leaders | 2 |
Latinos | 2 |
Lassoie | 2 |
Lassa | 2 |
Lankala | 2 |
Language | 2 |
K3 | 2 |
K1 | 2 |
Juliette | 2 |
Jordan | 2 |
Identification | 2 |
Idaho | 2 |
Ichiban | 2 |
IT | 2 |
IRENA | 2 |
IMAQS | 2 |
ILRI | 2 |
IL-6 | 2 |
IDIs | 2 |
IAACS | 2 |
I | 2 |
Hyundai | 2 |
Hyun | 2 |
Hunger | 2 |
Hungary | 2 |
Hun | 2 |
Humans | 2 |
Hum | 2 |
Huidobro | 2 |
Huggan | 2 |
Household | 2 |
House | 2 |
Horne | 2 |
Horizon | 2 |
Hopkins | 2 |
Hope | 2 |
Hooley | 2 |
Immigration | 2 |
Immunogenicity | 2 |
Important | 2 |
Jamaat | 2 |
Jonathan | 2 |
Johnstone | 2 |
Jisoo | 2 |
Jinping | 2 |
Jiang | 2 |
Jerry | 2 |
Jeong | 2 |
Jenkin | 2 |
Jazeera | 2 |
Jason | 2 |
Jasmine | 2 |
Janeiro | 2 |
Jaideep | 2 |
Inclusive | 2 |
J.-N. | 2 |
Iverson | 2 |
Ivan | 2 |
Irving | 2 |
Iraq | 2 |
Introduction | 2 |
Interactive | 2 |
Intelligence | 2 |
Initiatives | 2 |
Infections | 2 |
Industry | 2 |
Indigenous | 2 |
Elizabeth | 2 |
Cancer | 2 |
Elevation | 2 |
Anticyclone | 2 |
Baranova | 2 |
Bailey | 2 |
Bae | 2 |
Bacille | 2 |
Bachelor | 2 |
BMJ | 2 |
BMC | 2 |
BI | 2 |
BACKGROUND | 2 |
Azerbaijan | 2 |
Awareness | 2 |
Avastrovirus | 2 |
Austria | 2 |
Australians | 2 |
Australian | 2 |
Augustine | 2 |
Auckland | 2 |
Atlas | 2 |
Astroviruses | 2 |
Astroviridae | 2 |
AstVs | 2 |
Associate | 2 |
Assembly | 2 |
Artificial | 2 |
Art | 2 |
Apr | 2 |
Approach | 2 |
Bartosch | 2 |
Bassadien | 2 |
Bayer | 2 |
Bluetooth | 2 |
Britton | 2 |
Brink | 2 |
Briefs | 2 |
Bridgman | 2 |
Briankle | 2 |
Brexit | 2 |
Breusch | 2 |
Braun | 2 |
Brahm | 2 |
Border | 2 |
Bonnett | 2 |
Bombay | 2 |
Blavatnik | 2 |
BecA | 2 |
Bisimwa | 2 |
Biology | 2 |
Biodiversity | 2 |
Bhutan | 2 |
Bhopal | 2 |
Beyond | 2 |
Bernard | 2 |
Bengal | 2 |
Ben | 2 |
Belgium | 2 |
Behaviors | 2 |
Behavior | 2 |
Apnea | 2 |
Antibody | 2 |
Bryceson | 2 |
Anthony | 2 |
Adeola | 2 |
Address | 2 |
Achievement | 2 |
Acc | 2 |
Academy | 2 |
Academies | 2 |
ATC | 2 |
APN01 | 2 |
AP | 2 |
ANC | 2 |
AL | 2 |
ADHEX1F | 2 |
AAAABNAABA | 2 |
A2 | 2 |
A1 | 2 |
5′-CAACACCTAY | 2 |
3B | 2 |
3.1.2 | 2 |
3- | 2 |
2C | 2 |
16376C | 2 |
11mmol | 2 |
1, | 2 |
-preliminary | 2 |
-The | 2 |
-Occupational | 2 |
MNT | 2 |
Advisory | 2 |
Aerosols | 2 |
Afrikaner | 2 |
Analgesia | 2 |
Annual | 2 |
Anne | 2 |
Annalee | 2 |
Anna | 2 |
Anheier | 2 |
Angola | 2 |
Angell | 2 |
Andrews | 2 |
Andhra | 2 |
Andes | 2 |
Anderson | 2 |
Anand | 2 |
Ami | 2 |
Agamben | 2 |
Amandisa | 2 |
Amadeus | 2 |
Altai | 2 |
Alonso | 2 |
Alice | 2 |
Algorithms | 2 |
Alan | 2 |
Al | 2 |
Akaike | 2 |
Ahn | 2 |
Ahlin | 2 |
Age | 2 |
Browne | 2 |
Building | 2 |
Eikenberry | 2 |
Conversation | 2 |
Deloitte | 2 |
Decriminalisation | 2 |
Dead | 2 |
Day | 2 |
Damian | 2 |
DSD | 2 |
DPCM | 2 |
DOLS | 2 |
DBE | 2 |
DARPA | 2 |
DA | 2 |
Côte | 2 |
Cummins | 2 |
Culture | 2 |
Cuebiq | 2 |
Ct | 2 |
Crowne | 2 |
Credit | 2 |
Creativity | 2 |
Course | 2 |
County | 2 |
Counselling | 2 |
Couldry | 2 |
Cortés | 2 |
Corpus | 2 |
Corporation | 2 |
Corp. | 2 |
Demographic | 2 |
Derek | 2 |
Descartes | 2 |
Dubey | 2 |
Economy | 2 |
Ecocriticism | 2 |
Early | 2 |
Eagly | 2 |
EPV | 2 |
EM | 2 |
EE | 2 |
ECDC | 2 |
E(t | 2 |
Duvi | 2 |
Dust | 2 |
Duque | 2 |
Drive | 2 |
Detection | 2 |
Dogs | 2 |
Distribution | 2 |
Disgrace | 2 |
Discovery | 2 |
Disclosure | 2 |
Directions | 2 |
Diet | 2 |
Diego | 2 |
Diagnosis | 2 |
Dhar | 2 |
Developmental | 2 |
Dev | 2 |
Cooperation | 2 |
Contributions | 2 |
Burkina | 2 |
Connolly | 2 |
Chemical | 2 |
Charles | 2 |
Chang | 2 |
Challenged | 2 |
Chain | 2 |
Chaiken | 2 |
Chacma | 2 |
Cereda | 2 |
Centres | 2 |
Caucasians | 2 |
Catholic | 2 |
Catherine | 2 |
Cases | 2 |
Capacity | 2 |
CSA | 2 |
CRISPR | 2 |
CR | 2 |
COviD-19 | 2 |
COVID‐19 | 2 |
COP21 | 2 |
CMAQ | 2 |
CCSSA | 2 |
CCM | 2 |
CARWH | 2 |
CADT | 2 |
Business | 2 |
Burma | 2 |
Chemoprophylaxis | 2 |
Cheonan | 2 |
Cheong | 2 |
Collaboration | 2 |
Conference | 2 |
Concerns | 2 |
Concept | 2 |
Computational | 2 |
Compliance | 2 |
Comparison | 2 |
Company | 2 |
Communities | 2 |
Communist | 2 |
Communicable | 2 |
Common | 2 |
Commissioner | 2 |
Cogill | 2 |
Chicago | 2 |
Cochrane | 2 |
Cobaek | 2 |
CoIAs | 2 |
Co. | 2 |
Cluver | 2 |
Claude | 2 |
Chungchong | 2 |
Chudik | 2 |
Christi | 2 |
Chow | 2 |
Chonsei | 2 |
Choe | 2 |
ML | 2 |
Frey | 2 |
MOIS | 2 |
Tropical | 2 |
Translating | 2 |
Tranquilli | 2 |
Trait | 2 |
Traditional | 2 |
Toyokawa | 2 |
Torres | 2 |
Toronto | 2 |
Tor | 2 |
Tissue | 2 |
Tiffin | 2 |
Tianjin | 2 |
Thompson | 2 |
Thebus | 2 |
The | 2 |
Telegraph | 2 |
Taxonomy | 2 |
Targets | 2 |
Tarafdar | 2 |
Tao | 2 |
Tanuki | 2 |
Tanha | 2 |
Tandoc | 2 |
Tan | 2 |
Tamil | 2 |
Tambo | 2 |
Takas | 2 |
TT | 2 |
Transportation | 2 |
Truett | 2 |
Sedgwick | 2 |
Tso | 2 |
Vía | 2 |
Vulnerable | 2 |
Volunteers | 2 |
Volkswagen | 2 |
Visagie | 2 |
Viruses | 2 |
Vihar | 2 |
Vienna | 2 |
Veterans | 2 |
Version | 2 |
Variable | 2 |
Vanderbilt | 2 |
VPM1002 | 2 |
VP73 | 2 |
Use | 2 |
Unemployment | 2 |
Umifenovir | 2 |
Ukama | 2 |
Ubuntucurrere | 2 |
Uber | 2 |
UT | 2 |
USSR | 2 |
USAID | 2 |
UEA | 2 |
Turing | 2 |
Tufts | 2 |
Tucker | 2 |
TNEs | 2 |
TABle | 2 |
Systematic | 2 |
Synoptic | 2 |
Sonagachi | 2 |
Solidarity | 2 |
Sohee | 2 |
Soft | 2 |
Socio | 2 |
Societies | 2 |
Sjöberg | 2 |
Situation | 2 |
Siracusa | 2 |
Sir | 2 |
Singh | 2 |
Singaporeans | 2 |
Sims | 2 |
Simon | 2 |
Simione | 2 |
Similar | 2 |
Sim | 2 |
Shklar | 2 |
Shigella | 2 |
Shiga | 2 |
Shetty | 2 |
Shapes | 2 |
Sexual | 2 |
Sewol | 2 |
Sequencer | 2 |
Sen | 2 |
Sekyere | 2 |
Songdo | 2 |
Sonn | 2 |
SowetanLIVE | 2 |
Streams | 2 |
Synapse | 2 |
Surgeons | 2 |
Supplement | 2 |
Super | 2 |
Sultan | 2 |
Success | 2 |
Subjects | 2 |
Subjectivities | 2 |
Students | 2 |
Student | 2 |
Stud | 2 |
Stuart | 2 |
Strahm | 2 |
Soweto | 2 |
Stolton | 2 |
Stephen | 2 |
Stellenbosch | 2 |
Stefanidi | 2 |
Std | 2 |
Stage | 2 |
St. | 2 |
Srinivas | 2 |
Spike | 2 |
Spiegel | 2 |
Specters | 2 |
Space | 2 |
W. | 2 |
WB | 2 |
WISE | 2 |
bioregionalism | 2 |
neoliberalism | 2 |
national | 2 |
ministry | 2 |
minister | 2 |
min | 2 |
lowincome | 2 |
labour | 2 |
japan | 2 |
j.jenvman.2020.111235 | 2 |
https://www.apple.com/covid19/mobility | 2 |
hexon | 2 |
hepatitis | 2 |
heath | 2 |
green | 2 |
gp140 | 2 |
fl | 2 |
father | 2 |
european | 2 |
enoxaparin | 2 |
energy | 2 |
disease-19 | 2 |
df | 2 |
d'Ivoire | 2 |
confi | 2 |
chi | 2 |
canarypox | 2 |
cacy | 2 |
offi | 2 |
owner(s | 2 |
post | 2 |
© | 2 |
전광준 | 2 |
MPU | 2 |
앱 | 2 |
−0.13 | 2 |
→t | 2 |
⁎⁎⁎⁎⁎⁎⁎ | 2 |
⁎⁎⁎⁎ | 2 |
⁎ | 2 |
д | 2 |
σ | 2 |
γ | 2 |
βS(t)I(t)/N | 2 |
xiang | 2 |
potentia | 2 |
whereb | 2 |
west | 2 |
unheimlich | 2 |
turkey | 2 |
trans | 2 |
serosurvey | 2 |
series | 2 |
safety | 2 |
s1 | 2 |
rmed | 2 |
quality | 2 |
preprint | 2 |
biplot | 2 |
bio | 2 |
WT | 2 |
benthamiana | 2 |
Xiao | 2 |
Xiang | 2 |
Xia | 2 |
Xi | 2 |
XJ | 2 |
XIV | 2 |
Work | 2 |
Woori | 2 |
Woo | 2 |
Wong | 2 |
Won | 2 |
Winter | 2 |
Windows | 2 |
Williamson | 2 |
Wilkinson | 2 |
Wilderness | 2 |
Wholesale | 2 |
Weiss | 2 |
Weinstein | 2 |
Wee | 2 |
Webb | 2 |
Wave | 2 |
Watts | 2 |
Watson | 2 |
Warming | 2 |
Walker | 2 |
Walk | 2 |
Ximiya | 2 |
Xinwu | 2 |
Xuefeng | 2 |
Zoe | 2 |
bemiparin | 2 |
bancassurance | 2 |
arXiv | 2 |
antihypertensives | 2 |
antidiabetic | 2 |
anthropocene | 2 |
alia | 2 |
africa | 2 |
adiposity | 2 |
Zweli | 2 |
Zumba | 2 |
Zuern | 2 |
Zervos | 2 |
Y. | 2 |
Zechner | 2 |
Yudkowski | 2 |
Yuan | 2 |
Yu | 2 |
Yoyi | 2 |
Yorker | 2 |
Yonsei | 2 |
Yong | 2 |
Yemen | 2 |
Yassi | 2 |
Yangji | 2 |
Yamagata | 2 |
Seegene | 2 |
−1 | 2 |
Sector | 2 |
OMI | 2 |
Nyabadza | 2 |
Nursing | 2 |
Norway | 2 |
Noor | 2 |
Non | 2 |
Nomadic | 2 |
Njuho | 2 |
Nishiura | 2 |
Nile | 2 |
Nicola | 2 |
Ni | 2 |
Nguyen | 2 |
Natural | 2 |
Narrative | 2 |
Nanfang | 2 |
Nakuru | 2 |
Nagoya | 2 |
Nadu | 2 |
NY | 2 |
NVivo | 2 |
NSFAS | 2 |
NL | 2 |
NDOH | 2 |
NDC | 2 |
Muniz | 2 |
Multiscale | 2 |
MrBayes | 2 |
OEA | 2 |
OPTUM | 2 |
Patel | 2 |
OR | 2 |
Part | 2 |
Pandora | 2 |
Palma | 2 |
Pagan | 2 |
PRE | 2 |
PPA2 | 2 |
PPA1 | 2 |
POI | 2 |
2 | |
PAstV. | 2 |
PARIHS | 2 |
P3 | 2 |
Over | 2 |
Outcomes | 2 |
Other | 2 |
Oswald/ | 2 |
Osborne | 2 |
Ornithodoros | 2 |
OptumEHR | 2 |
Opinion | 2 |
Omri | 2 |
Oliver | 2 |
Olga | 2 |
Officer | 2 |
Offences | 2 |
ORT | 2 |
ORS | 2 |
Motti | 2 |
Motor | 2 |
Moser | 2 |
Moseneke | 2 |
Melbourne | 2 |
Meiling | 2 |
Med | 2 |
McLaren | 2 |
McDonald | 2 |
Mayhew | 2 |
May. | 2 |
Matlab | 2 |
Material | 2 |
Masten | 2 |
Marlowe | 2 |
Markov | 2 |
Market | 2 |
Marine | 2 |
Marikana | 2 |
Marc | 2 |
Maputo | 2 |
Map | 2 |
Manufacturing | 2 |
Mandela | 2 |
Manchester | 2 |
Maharaj | 2 |
Madon | 2 |
Mackenzie | 2 |
MSIT | 2 |
Section | 2 |
MS | 2 |
Methodology | 2 |
Michelè | 2 |
Michiel | 2 |
Modelling | 2 |
Mortality | 2 |
Morocco | 2 |
Morning | 2 |
Morales | 2 |
Monteiro | 2 |
Monsanto | 2 |
Monrovia | 2 |
Monitoring | 2 |
Monitor | 2 |
Mongolia | 2 |
Module | 2 |
Modi | 2 |
Mock | 2 |
Microsoft | 2 |
Mkhize | 2 |
Mixed | 2 |
Mitigation | 2 |
Mitchell | 2 |
Mission | 2 |
Ministries | 2 |
Minasny | 2 |
Milburn | 2 |
Milan | 2 |
Miette | 2 |
Mies | 2 |
Mid | 2 |
Party | 2 |
MTEC | 2 |
Paul | 2 |
Roche | 2 |
S&T | 2 |
Rutherford | 2 |
Russia | 2 |
Rural | 2 |
Rumpel | 2 |
Rule | 2 |
Rt(t | 2 |
Routine | 2 |
Roser | 2 |
Rome | 2 |
Roger | 2 |
Rodriguez | 2 |
Robertson | 2 |
S6 | 2 |
Roberts | 2 |
Robert | 2 |
Roadmap | 2 |
RioOnWatch | 2 |
Rio | 2 |
Richard | 2 |
Revolution | 2 |
Rev | 2 |
Responses | 2 |
Reserve | 2 |
Remuzzi | 2 |
Remdesivir | 2 |
S.K. | 2 |
S8 | 2 |
Relationships | 2 |
Salafsky | 2 |
Peasant | 2 |
Secret | 2 |
Schweppe | 2 |
Schteingart | 2 |
Schools | 2 |
Scholar | 2 |
Schmid | 2 |
Sayan | 2 |
Sanger | 2 |
Sample | 2 |
Sambu | 2 |
Salih | 2 |
Sagbakken | 2 |
SAALT | 2 |
Safe | 2 |
STARR | 2 |
SRD | 2 |
SR | 2 |
SPT | 2 |
SMD | 2 |
SM | 2 |
SIG | 2 |
SI | 2 |
SARB | 2 |
SAERA | 2 |
SAAs | 2 |
Relief | 2 |
Scientific | 2 |
Relations | 2 |
Prevent | 2 |
Preliminary | 2 |
Pradesh | 2 |
Practical | 2 |
Pract | 2 |
Power | 2 |
Poverty | 2 |
Potential | 2 |
Portuguese | 2 |
Porcine | 2 |
Pope | 2 |
Polymod | 2 |
Pollution | 2 |
Politics | 2 |
Political | 2 |
Poland | 2 |
Places | 2 |
Place | 2 |
Physicians | 2 |
Petty | 2 |
Peters | 2 |
Personal | 2 |
Perceptions | 2 |
Pentina | 2 |
Peninsula | 2 |
Regulation | 2 |
Pelonomi | 2 |
Pegas | 2 |
Presidency | 2 |
Seasonal | 2 |
Price | 2 |
R&D | 2 |
Prince | 2 |
Recognition | 2 |