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 |
---|---|
CFR | 981 |
COVID-19 | 416 |
SARS | 196 |
China | 188 |
April | 120 |
Italy | 113 |
Coronavirus | 107 |
March | 106 |
CoV-2 | 105 |
Health | 99 |
IFR | 92 |
CC | 77 |
BY | 74 |
H1N1 | 74 |
Table | 73 |
Korea | 73 |
• | 71 |
NC | 69 |
Wuhan | 66 |
South | 66 |
PPE | 60 |
Iran | 60 |
Spain | 56 |
United | 56 |
May | 55 |
ND | 54 |
ICU | 48 |
Disease | 47 |
India | 45 |
States | 44 |
October | 44 |
February | 43 |
medRxiv | 42 |
World | 42 |
CI | 41 |
Germany | 41 |
Fig | 41 |
UK | 40 |
ARIMA | 40 |
CoV | 37 |
USA | 36 |
Novel | 36 |
New | 35 |
France | 34 |
US | 33 |
A | 32 |
Canada | 32 |
Rasch | 32 |
Control | 32 |
sha | 31 |
January | 31 |
MERS | 28 |
Ebola | 28 |
Figure | 27 |
DOI | 27 |
Case | 27 |
Covid-19 | 26 |
S | 25 |
Iceland | 25 |
Supplementary | 25 |
Pandemic | 25 |
June | 24 |
HIV | 24 |
Europe | 24 |
Data | 24 |
Belgium | 24 |
IFRadj | 22 |
Bangladesh | 22 |
Organization | 21 |
Hubei | 21 |
Influenza | 21 |
Prevention | 21 |
PSCC | 21 |
nan | 21 |
TSD | 21 |
pH1N1 | 20 |
CDC | 20 |
University | 20 |
Australia | 20 |
AR | 20 |
Center | 20 |
MA | 20 |
RT | 20 |
York | 19 |
WBF | 19 |
Sweden | 19 |
R | 19 |
National | 19 |
M | 19 |
DR | 19 |
meta | 19 |
DD | 18 |
Infectious | 18 |
East | 18 |
Diamond | 18 |
SpO2 | 18 |
WHO | 18 |
series | 18 |
Princess | 17 |
J | 17 |
Global | 17 |
Singapore | 16 |
SIR | 16 |
Public | 16 |
Ministry | 16 |
Middle | 16 |
INSIGHT | 16 |
COPD | 16 |
Diseases | 15 |
ECDC | 15 |
Pneumonia | 15 |
Medicine | 14 |
Kerala | 14 |
Japan | 14 |
Jan | 14 |
H5N1 | 14 |
Fatality | 14 |
Emergency | 14 |
Clinical | 14 |
England | 13 |
CDR | 13 |
COVID | 13 |
Centre | 13 |
D(t | 13 |
Group | 13 |
M. | 13 |
OSHA | 13 |
covid-19 | 13 |
Legionella | 13 |
EPG | 12 |
Mumbai | 12 |
A(H5N1 | 12 |
Africa | 12 |
Analysis | 12 |
Institute | 12 |
Netherlands | 12 |
SAARC | 12 |
T | 12 |
Treatment | 12 |
West | 12 |
doi | 12 |
ρ | 12 |
Characteristics | 11 |
Hopkins | 11 |
GDP | 11 |
EMS | 11 |
J. | 11 |
Care | 11 |
Bayes | 11 |
B. | 11 |
Infection | 11 |
Response | 11 |
July | 11 |
Respiratory | 11 |
Transmission | 11 |
https://doi.org/10.1101/2020.06.01.20116608 | 11 |
Kingdom | 11 |
Report | 11 |
Mexico | 11 |
L. | 11 |
C. | 10 |
NCIP | 10 |
City | 10 |
D. | 10 |
Department | 10 |
European | 10 |
10 | |
ILI | 10 |
Kong | 10 |
Lancet | 10 |
COV-2 | 10 |
Lanka | 10 |
Pakistan | 10 |
U.S. | 10 |
Province | 10 |
st | 10 |
preprint | 10 |
nCpm | 10 |
− | 10 |
Syndrome | 10 |
Sri | 10 |
S. | 10 |
R. | 10 |
JH | 9 |
ACE2 | 9 |
August | 9 |
C | 9 |
CAP | 9 |
Chennai | 9 |
December | 9 |
Guidelines | 9 |
Hong | 9 |
International | 9 |
Incubation | 9 |
Johns | 9 |
Portugal | 9 |
WTC | 9 |
Society | 9 |
SEIR | 9 |
Pune | 9 |
Medical | 9 |
PCR | 9 |
Ontario | 9 |
Meta | 9 |
china | 9 |
John | 8 |
8) | 8 |
Ahmedabad | 8 |
C(t | 8 |
Epidemiology | 8 |
Estimating | 8 |
FF100 | 8 |
Government | 8 |
Gujarat | 8 |
Hospital | 8 |
Israel | 8 |
Lombardy | 8 |
hyperimmune | 8 |
PAPR | 8 |
Qom | 8 |
Rates | 8 |
Research | 8 |
Streptococcus | 8 |
Study | 8 |
Surveillance | 8 |
Switzerland | 8 |
Zealand | 8 |
N95 | 8 |
Asia | 7 |
FLU002 | 7 |
Delhi | 7 |
Convalescent | 7 |
Centers | 7 |
ICUs | 7 |
Appendix | 7 |
America | 7 |
Afghanistan | 7 |
AVE | 7 |
Feb | 7 |
SCBA | 7 |
Journal | 7 |
Republic | 7 |
Maps | 7 |
Testing | 7 |
Seroprevalence | 7 |
Review | 7 |
Science | 7 |
PubMed | 7 |
Period | 7 |
OR | 7 |
Nepal | 7 |
Inf(I | 6 |
Evaluation | 6 |
II | 6 |
HazMat | 6 |
H. | 6 |
Full | 6 |
First | 6 |
FLU003 | 6 |
BCG | 6 |
Estimation | 6 |
Education | 6 |
Early | 6 |
Corona | 6 |
CFRs | 6 |
Abstract | 6 |
APF | 6 |
Pearson | 6 |
Maldives | 6 |
Zika | 6 |
R0 | 6 |
Text | 6 |
RD | 6 |
β | 6 |
time | 6 |
deCODE | 6 |
cfr | 6 |
Washington | 6 |
Turkey | 6 |
ln | 6 |
Supplemental | 6 |
State | 6 |
SARI | 6 |
S1 | 6 |
Risk | 6 |
Statistical | 6 |
Relation | 6 |
RMSE | 6 |
Effectiveness | 5 |
Commission | 5 |
Community | 5 |
Countries | 5 |
Cov-2 | 5 |
Document | 5 |
Dr. | 5 |
F. | 5 |
Excel | 5 |
Foundation | 5 |
General | 5 |
GitHub | 5 |
COVID-2019 | 5 |
HVA | 5 |
College | 5 |
Altman | 5 |
Box | 5 |
Bland | 5 |
Bengal | 5 |
Belarus | 5 |
Bayesian | 5 |
Bank | 5 |
BPM | 5 |
Available | 5 |
Agency | 5 |
Administration | 5 |
A(H1N1 | 5 |
7D | 5 |
.0001 | 5 |
Human | 5 |
Hazardous | 5 |
https://doi.org/10.1101/2020.04.28.20082370 | 5 |
Indore | 5 |
Systems | 5 |
Infections | 5 |
≥65 | 5 |
−0 | 5 |
ܴ | 5 |
pandemic | 5 |
nTpm | 5 |
azithromycin | 5 |
Western | 5 |
W. | 5 |
Trump | 5 |
Tokyo | 5 |
Time | 5 |
Tehran | 5 |
Taiwan | 5 |
eq | 5 |
Russia | 5 |
North | 5 |
Kou | 5 |
Reporting | 5 |
Mar | 5 |
N. | 5 |
Nishiura | 5 |
Nationwide | 5 |
Online | 5 |
P. | 5 |
Peru | 5 |
Plasma | 5 |
Population | 5 |
Qatar | 5 |
Epidemiological | 4 |
I(0 | 4 |
Estimates | 4 |
Fauci | 4 |
Federal | 4 |
Gilan | 4 |
HSEES | 4 |
Healthcare | 4 |
House | 4 |
Information | 4 |
I. | 4 |
IQR | 4 |
IgG | 4 |
Impact | 4 |
Indonesia | 4 |
JU | 4 |
Jersey | 4 |
Junyi | 4 |
Emerging | 4 |
Engineering | 4 |
Association | 4 |
E. | 4 |
CIs | 4 |
Kano | 4 |
A(H1N1)pdm09 | 4 |
ALS | 4 |
ARDS | 4 |
Army | 4 |
Assumption | 4 |
B | 4 |
Brazil | 4 |
Cases | 4 |
Dynamics | 4 |
Central | 4 |
Chinese | 4 |
Clin | 4 |
CoV2 | 4 |
Connecticut | 4 |
Country | 4 |
Detection | 4 |
Dis | 4 |
K. | 4 |
Material | 4 |
Li | 4 |
School | 4 |
Smith | 4 |
Substances | 4 |
Sudharsanan | 4 |
T. | 4 |
Team | 4 |
U.S | 4 |
Verity | 4 |
Wikipedia | 4 |
Working | 4 |
Worldometer | 4 |
Zhejiang | 4 |
Zheng | 4 |
https://doi.org/10.1101 | 4 |
key | 4 |
mid | 4 |
t−τ | 4 |
| | 4 |
September | 4 |
Virus | 4 |
Safety | 4 |
Nt | 4 |
Right | 4 |
Management | 4 |
ε | 4 |
Mathematical | 4 |
Mazandaran | 4 |
Modelling | 4 |
NFPA | 4 |
Nations | 4 |
Np | 4 |
London | 4 |
OWID | 4 |
Personal | 4 |
RR | 4 |
Publisher | 4 |
Regulations | 4 |
Onder | 4 |
Oklahoma | 4 |
Occupational | 4 |
Guidance | 3 |
Hygiene | 3 |
Huang | 3 |
HIV-1 | 3 |
HIC | 3 |
HAZWOPER | 3 |
H3N2 | 3 |
H1N1pdm | 3 |
Guideline | 3 |
GLaMOR | 3 |
Guan | 3 |
Geneva | 3 |
Gamma | 3 |
Hyperimmune | 3 |
G. | 3 |
G | 3 |
FLU | 3 |
FB | 3 |
F | 3 |
Equipment | 3 |
M.-J. | 3 |
I(t | 3 |
JHU | 3 |
Epidemic | 3 |
Low | 3 |
Lassa | 3 |
LMIC | 3 |
LFM | 3 |
L | 3 |
Korean | 3 |
Joint | 3 |
JHC | 3 |
ICMR | 3 |
Italian | 3 |
Istituto | 3 |
Ioannidis | 3 |
Intensive | 3 |
Income | 3 |
Ill | 3 |
IgM | 3 |
IFRdeCode | 3 |
Epidemiologic | 3 |
Census | 3 |
EU | 3 |
Application | 3 |
Brusaferro | 3 |
Biases | 3 |
Bacteremic | 3 |
Background | 3 |
Austria | 3 |
Assessment | 3 |
Asian | 3 |
Arabia | 3 |
Antibody | 3 |
ECMO | 3 |
Angola | 3 |
Alberta | 3 |
Albany | 3 |
Absolute | 3 |
ACF | 3 |
A. | 3 |
1(A | 3 |
-0 | 3 |
COVID-19)-China | 3 |
CSSE | 3 |
California | 3 |
Maria | 3 |
Donnelly | 3 |
Director | 3 |
Delay | 3 |
Deaths | 3 |
Death | 3 |
DG | 3 |
DET | 3 |
D | 3 |
Cross | 3 |
Crisis | 3 |
County | 3 |
Corporation | 3 |
Consortium | 3 |
Comparison | 3 |
Committee | 3 |
Chlamydia | 3 |
Chile | 3 |
MAE | 3 |
CRF | 3 |
Massachusetts | 3 |
Taylor | 3 |
White | 3 |
Vietnam | 3 |
Van | 3 |
V. | 3 |
Use | 3 |
Tropical | 3 |
Transparent | 3 |
Toronto | 3 |
TNF | 3 |
blue | 3 |
TLR7 | 3 |
Systematic | 3 |
Superiore | 3 |
Sun | 3 |
Sudan | 3 |
Spanish | 3 |
Southern | 3 |
Smallpox | 3 |
Zhao | 3 |
clarithromycin | 3 |
Severe | 3 |
nov | 3 |
Med | 3 |
ݐ | 3 |
σ | 3 |
¼ | 3 |
x.x2 | 3 |
sp | 3 |
preprintThe | 3 |
pneumococcus | 3 |
nonstationary | 3 |
data | 3 |
las | 3 |
influenza | 3 |
https://doi.org/10.1101/2020.05.02.20087270 | 3 |
https://doi.org/10 | 3 |
green | 3 |
especially≥70 | 3 |
doc_id | 3 |
di | 3 |
Shapiro | 3 |
Wilk | 3 |
Services | 3 |
Oxygen | 3 |
Policy | 3 |
Poisson | 3 |
Philippines | 3 |
Perlroth | 3 |
People | 3 |
Patients | 3 |
PACF | 3 |
P(BjA1 | 3 |
Overview | 3 |
Preparedness | 3 |
Open | 3 |
Official | 3 |
OC43 | 3 |
NUHI | 3 |
NIOSH | 3 |
N | 3 |
Minnesota | 3 |
Seattle | 3 |
Potential | 3 |
P(BjA2 | 3 |
Preprint | 3 |
S.-C. | 3 |
Methods | 3 |
Saudi | 3 |
Santa | 3 |
Sanità | 3 |
Sachs | 3 |
SI | 3 |
SAS | 3 |
SAR | 3 |
Sciences | 3 |
Rezza | 3 |
Protective | 3 |
Relative | 3 |
Press | 3 |
Protection | 3 |
President | 3 |
Protocol | 3 |
Region | 3 |
H5 | 2 |
Greece | 2 |
Green | 2 |
Greer | 2 |
Growth | 2 |
Guinea | 2 |
Greater | 2 |
H1N1pdm09 | 2 |
H1N1v | 2 |
HCWs | 2 |
H7N9 | 2 |
HA | 2 |
HB | 2 |
HD | 2 |
HEPA | 2 |
Harvard | 2 |
Hellewell | 2 |
Hemisphere | 2 |
Govt | 2 |
Goyal | 2 |
Encyclopedia | 2 |
Goh | 2 |
File | 2 |
Home | 2 |
Environmental | 2 |
Eqs | 2 |
Eurostat | 2 |
Experts | 2 |
FF100-like | 2 |
Family | 2 |
Features | 2 |
Fisher | 2 |
GlaxoSmithKline | 2 |
Form | 2 |
Free | 2 |
Fund | 2 |
Gangelt | 2 |
Gender | 2 |
Georgia | 2 |
German | 2 |
Ghani | 2 |
Hick | 2 |
Micronesia | 2 |
I | 2 |
Manfred | 2 |
Lee | 2 |
Lin | 2 |
Liu | 2 |
Long | 2 |
MOOSE | 2 |
Madrid | 2 |
Mainland | 2 |
Malaria | 2 |
Map | 2 |
LLC | 2 |
Mashhad | 2 |
Mass | 2 |
May. | 2 |
Measurement | 2 |
Meier | 2 |
Metrics | 2 |
Mi | 2 |
Emilia | 2 |
Lab | 2 |
Kyung | 2 |
ICMJE | 2 |
JQ | 2 |
IOTA | 2 |
IV | 2 |
Implications | 2 |
Incidence | 2 |
Index | 2 |
Initiatives | 2 |
Iosa | 2 |
JN | 2 |
Jenner | 2 |
Kramer | 2 |
Jinqiu | 2 |
Joel | 2 |
Jombart | 2 |
KIDMAP | 2 |
Kaplan | 2 |
Kevin | 2 |
Khoshnood | 2 |
Kobiela | 2 |
Emirates | 2 |
COVID19 | 2 |
Emergencies | 2 |
Bacteremia | 2 |
Arab | 2 |
Associated | 2 |
Asymptomatic | 2 |
Attacks | 2 |
Attribution | 2 |
BACKGROUND | 2 |
BIC | 2 |
BTS | 2 |
Based | 2 |
Anderson | 2 |
Bavaria | 2 |
Bhutan | 2 |
Bias | 2 |
Binax | 2 |
Binns | 2 |
Bommer | 2 |
Boston | 2 |
Building | 2 |
Antibodies | 2 |
Andersen | 2 |
Emerg | 2 |
APACPH | 2 |
Ministerio | 2 |
(= | 2 |
-0.117 | 2 |
-50 | 2 |
A1 | 2 |
A2 | 2 |
A5 | 2 |
AIC | 2 |
APR | 2 |
Amy | 2 |
Accreditation | 2 |
AdjR | 2 |
Adults | 2 |
Aggiornamento | 2 |
Algorithm | 2 |
Altmetric | 2 |
American | 2 |
Americans | 2 |
Bureau | 2 |
Błażyńska | 2 |
CCR | 2 |
Dr | 2 |
Development | 2 |
Diagnosis | 2 |
Digital | 2 |
Directorate | 2 |
Disclosure | 2 |
Distress | 2 |
District | 2 |
Dorit | 2 |
E | 2 |
CISDCP | 2 |
E5 | 2 |
EACS | 2 |
ELISA | 2 |
Economic | 2 |
Economist | 2 |
Edward | 2 |
Egger | 2 |
Elizabeth | 2 |
Daily | 2 |
Current | 2 |
Critical | 2 |
Criterion | 2 |
CP | 2 |
CRP | 2 |
CSF | 2 |
Carlo | 2 |
Chief | 2 |
Clara | 2 |
Cluster | 2 |
CoV. | 2 |
Cochrane | 2 |
Code | 2 |
Colin | 2 |
Commons | 2 |
Comparative | 2 |
Computing | 2 |
Content | 2 |
Craig | 2 |
Creative | 2 |
Microsoft | 2 |
GATHER | 2 |
MoMo | 2 |
Spuriously | 2 |
2 | |
UAE | 2 |
UN | 2 |
Union | 2 |
Unit | 2 |
Univariate | 2 |
Univariately | 2 |
VIEWPOINTS | 2 |
Vandenbroucke | 2 |
Version | 2 |
Vo | 2 |
Vollmer | 2 |
WR | 2 |
Wah | 2 |
Wang | 2 |
War | 2 |
Waterer | 2 |
Wavelet | 2 |
Wei | 2 |
Tukey | 2 |
Trials | 2 |
Trial | 2 |
Strategy | 2 |
Spychalski | 2 |
Stata | 2 |
StataCorp | 2 |
Statement | 2 |
Station | 2 |
StatsDirect | 2 |
Strategic | 2 |
Strategies | 2 |
System | 2 |
Travel | 2 |
TLRs | 2 |
TRUST | 2 |
Tecumseh | 2 |
Terrorist | 2 |
Texas | 2 |
Thoracic | 2 |
Thorne | 2 |
Trade | 2 |
Welfare | 2 |
Wenxiang | 2 |
Xiaosong | 2 |
west | 2 |
remdesivir | 2 |
ritonavir | 2 |
sarin | 2 |
sars | 2 |
suppl | 2 |
t. | 2 |
t0 | 2 |
vivo | 2 |
wuhan | 2 |
oseltamivir | 2 |
x.x5 | 2 |
year(s | 2 |
α | 2 |
ߝ | 2 |
௧ | 2 |
ݑ | 2 |
Model | 2 |
−1 | 2 |
pneumococci | 2 |
nd | 2 |
Yun | 2 |
dn | 2 |
bacteremic | 2 |
bronchopneumonia | 2 |
cCFR | 2 |
cephalosporin | 2 |
coefficient= | 2 |
council | 2 |
d0 | 2 |
df | 2 |
dt | 2 |
nazionale | 2 |
february | 2 |
https://doi.org/10.1101/2020.10.24.20218909 | 2 |
influenzal | 2 |
lactam | 2 |
mm | 2 |
n-1 | 2 |
nDpm | 2 |
national | 2 |
Spychalska | 2 |
XJL | 2 |
Spearman's | 2 |
2 | |
Nowcasting | 2 |
Observatory | 2 |
Officer | 2 |
Ottawa | 2 |
Outcomes | 2 |
Outside | 2 |
P | 2 |
P(A1 | 2 |
PLoS | 2 |
Northern | 2 |
PRISMA | 2 |
PSI | 2 |
Paolucci | 2 |
Patient | 2 |
PhD | 2 |
Pre | 2 |
Preferred | 2 |
Preventive | 2 |
Norway | 2 |
Nitzan | 2 |
Prof. | 2 |
Murrah | 2 |
Monitoring | 2 |
Spearman | 2 |
Modeling | 2 |
Monotherapy | 2 |
Monte | 2 |
Morone | 2 |
Mortality | 2 |
Municipal | 2 |
N100 | 2 |
Nils | 2 |
NEJM | 2 |
NHS | 2 |
NPR | 2 |
Narayanan | 2 |
Natural | 2 |
Nature | 2 |
Network | 2 |
Newcastle | 2 |
Probabilistic | 2 |
Number | 2 |
S9 | 2 |
Scale | 2 |
S5 | 2 |
S8 | 2 |
SARIs | 2 |
SB | 2 |
SC | 2 |
SET | 2 |
Sam | 2 |
Sander | 2 |
Secretary | 2 |
Rho | 2 |
Seroevidence | 2 |
Serologic | 2 |
Sex | 2 |
Shagam | 2 |
Shah | 2 |
Shrine | 2 |
Program | 2 |
Source | 2 |
Romagna | 2 |
Robert | 2 |
RP0 | 2 |
RNA | 2 |
Project | 2 |
Projections | 2 |
Promotion | 2 |
PðBÞ | 2 |
Quality | 2 |
R2 | 2 |
RAND | 2 |
RCT | 2 |
RESEARCH | 2 |
Social | 2 |
Rapid | 2 |
Ratio | 2 |
Remuzzi | 2 |
Resource | 2 |
Responders | 2 |
Retrospective | 2 |
Reviews | 2 |
ITA | 1 |
ISARIC | 1 |
ISS | 1 |
IRCCS | 1 |
Historical | 1 |
IL-18 | 1 |
IL-1 | 1 |
III | 1 |
Icelandic | 1 |
IHME | 1 |
Ian | 1 |
Imperial | 1 |
Ig | 1 |
Ilaria | 1 |
Illinois | 1 |
Illness | 1 |
Imam | 1 |
Immediate | 1 |
Immunoglobulin | 1 |
IFRNUHI | 1 |
Important | 1 |
IGBINOMWANHIA | 1 |
Holiday | 1 |
IFRJU | 1 |
Hui | 1 |
Inc | 1 |
High | 1 |
Holmes | 1 |
Honduras | 1 |
Hooded | 1 |
Household | 1 |
Huanan | 1 |
Huanggang | 1 |
Hunan | 1 |
IFN)-α | 1 |
Hundred | 1 |
Hung | 1 |
Huntington | 1 |
Hybrid | 1 |
Hydroxychloroquine | 1 |
Hypoxia | 1 |
H|ILI | 1 |
I(2 | 1 |
Importation | 1 |
JEDY | 1 |
Incidencia | 1 |
Italiana | 1 |
Ioannis | 1 |
Iranians | 1 |
Iraq | 1 |
Ireland | 1 |
Islamic | 1 |
Island | 1 |
Isobel | 1 |
Istanbul | 1 |
Italia | 1 |
Items | 1 |
Investigation | 1 |
Ivory | 1 |
JAMA | 1 |
JCAHO | 1 |
JCJ | 1 |
JKK | 1 |
JL | 1 |
Jadiya | 1 |
Hg | 1 |
James | 1 |
Investigators | 1 |
Invest | 1 |
Incident | 1 |
Informatica | 1 |
Incidents | 1 |
Individual-- | 1 |
Indrajit | 1 |
Inductive | 1 |
Indumathi | 1 |
Inf | 1 |
Infected | 1 |
Infettive | 1 |
Influenzavirus | 1 |
Initial | 1 |
Introduction | 1 |
Innovation | 1 |
Institutes | 1 |
Instituto | 1 |
Intelligence | 1 |
Interaction | 1 |
Interactive | 1 |
Interim | 1 |
Intern | 1 |
Intro | 1 |
Higgs | 1 |
Fisman | 1 |
Hernán | 1 |
Fudan | 1 |
Framework | 1 |
Francisco | 1 |
Fraser | 1 |
Freedom | 1 |
French | 1 |
Friberg | 1 |
Front | 1 |
Frontiers | 1 |
Fu | 1 |
Fundamental | 1 |
Garske | 1 |
Funk | 1 |
Första | 1 |
GHO | 1 |
GJM | 1 |
GM | 1 |
GP | 1 |
Gag | 1 |
Gallery | 1 |
Gardner | 1 |
Fractals | 1 |
Fox | 1 |
Fourier | 1 |
Forum | 1 |
Figs | 1 |
Final | 1 |
Finance | 1 |
Finland | 1 |
Fiona | 1 |
Fira | 1 |
Fire | 1 |
Jarvis | 1 |
Fit | 1 |
Flasche | 1 |
Florida | 1 |
Flu | 1 |
Fondazione | 1 |
Force | 1 |
Forecast | 1 |
Forecasting | 1 |
Foreigners | 1 |
Forensic | 1 |
Foreword | 1 |
Garry | 1 |
Gaussian | 1 |
Henry | 1 |
Hamish | 1 |
Guangdong | 1 |
Guilan | 1 |
Gupta | 1 |
Gustav | 1 |
Gué | 1 |
H | 1 |
H1NI | 1 |
Halder | 1 |
Hamedmoghadam | 1 |
Hardliners | 1 |
Gene | 1 |
Harriet | 1 |
Harsha | 1 |
Hatchett | 1 |
Headquarters | 1 |
Heel | 1 |
Helpline | 1 |
Helsinki | 1 |
Hemorrhagic | 1 |
Hennig | 1 |
Gualtieri | 1 |
Grounds | 1 |
Grauls | 1 |
Governor | 1 |
Genomic | 1 |
Georg | 1 |
George | 1 |
Georges | 1 |
Ghio | 1 |
Ghosh | 1 |
Gibbs | 1 |
Gibraltar | 1 |
Gimma | 1 |
Giorgi | 1 |
Giovanni | 1 |
Girons | 1 |
Giulio | 1 |
Glesby | 1 |
Globalization | 1 |
Glynn | 1 |
Goals | 1 |
Golding | 1 |
Gondo | 1 |
Jamkaran | 1 |
Louis | 1 |
Jayasree | 1 |
Marchena | 1 |
Malathion | 1 |
Malattie | 1 |
Malik | 1 |
Manager | 1 |
Mancova | 1 |
Mandip | 1 |
Manual | 1 |
Marc | 1 |
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Q | 1 |
QR | 1 |
Qian | 1 |
Quilty | 1 |
R(0 | 1 |
RBD | 1 |
REHBERİ | 1 |
RESULTS | 1 |
ROX | 1 |
RSF | 1 |
Pediatric | 1 |
Pearce | 1 |
Paul | 1 |
Nosocomial | 1 |
Nikos | 1 |
Nil | 1 |
Nilimesh | 1 |
Ningbo | 1 |
Nipah | 1 |
Nirmala | 1 |
Noire | 1 |
Nonpowered | 1 |
Northeast | 1 |
Notes | 1 |
OR=0.07 | 1 |
Notice | 1 |
Nottingham | 1 |
Novartis | 1 |
November | 1 |
Nowruz | 1 |
Numbers | 1 |
Numerator | 1 |
OKPOKORO | 1 |
OLS | 1 |
Nigeria | 1 |
Nick | 1 |
Nicholas | 1 |
Nguyen | 1 |
NAbs | 1 |
NCT010561 | 1 |
NCT01056354 | 1 |
NG165 | 1 |
NH | 1 |
NHC | 1 |
NIAID)-funded | 1 |
NOS | 1 |
NPIs | 1 |
NY | 1 |
Naama | 1 |
Nasal | 1 |
Negl | 1 |
Neighborhoods | 1 |
Neil | 1 |
Nerlander | 1 |
Networks | 1 |
Neuraminidase | 1 |
Ng | 1 |
ONYEMATA | 1 |
OR=1.85 | 1 |
Pattern | 1 |
Pacific | 1 |
P=0.0008 | 1 |
P=0.003 | 1 |
PANDEMIC | 1 |
PLWH | 1 |
PM | 1 |
PMC | 1 |
PYJJ2019 | 1 |
PaO | 1 |
Pac | 1 |
Package | 1 |
OR=8.45 | 1 |
Palacios | 1 |
Pancemic | 1 |
Paola | 1 |
Paolo | 1 |
Papers | 1 |
Papoulis | 1 |
Parainfluenza | 1 |
Patel | 1 |
Pathway | 1 |
P<0.001 | 1 |
P<.001 | 1 |
P.-J. | 1 |
P(H | 1 |
OTexts | 1 |
Objective | 1 |
Observational | 1 |
Oceania | 1 |
Office | 1 |
Ohio | 1 |
Opening | 1 |
Operations | 1 |
Optimal | 1 |
Organisation | 1 |
Organizations | 1 |
Origin | 1 |
Orthocoronavirinae | 1 |
Outbreak | 1 |
Outlook | 1 |
Ovi | 1 |
P(A2 | 1 |
P(B | 1 |
P(D | 1 |
Respir | 1 |
Restrictions | 1 |
Reuters | 1 |
Substance | 1 |
Stefano | 1 |
Stephen | 1 |
Steven | 1 |
Stigma | 1 |
Storm | 1 |
Student | 1 |
Studies | 1 |
Subramanian | 1 |
Subscript | 1 |
Suchana | 1 |
Swedish | 1 |
Summary | 1 |
Superspreading | 1 |
Suppemental | 1 |
Supplement | 1 |
Suprun | 1 |
Surveillances | 1 |
Survey | 1 |
Survivorship | 1 |
Susc(I | 1 |
Stefan | 1 |
Status | 1 |
Statista | 1 |
Star | 1 |
Soluble | 1 |
Sophia | 1 |
Sourendu | 1 |
SpUA | 1 |
Spearmans | 1 |
Specificity | 1 |
Specimens | 1 |
Spencer | 1 |
Spiteri | 1 |
Spread | 1 |
Spring | 1 |
St. | 1 |
Stages | 1 |
Stallergenes | 1 |
Stan | 1 |
Standard | 1 |
Standardization | 1 |
Stanek | 1 |
Stanford | 1 |
Sustainable | 1 |
Switzerlands | 1 |
Soldier | 1 |
Traditional | 1 |
Thibaut | 1 |
Thomas | 1 |
Thomson | 1 |
Times | 1 |
Timothy | 1 |
Tini | 1 |
Toll | 1 |
Totals | 1 |
Tracking | 1 |
Transmissibility | 1 |
Sydney | 1 |
Transport | 1 |
Triplett | 1 |
Tromsø | 1 |
Trop | 1 |
Trust | 1 |
Tsair | 1 |
Tsen | 1 |
Tuite | 1 |
Tung | 1 |
Thermo | 1 |
Therapy | 1 |
Therapeutic | 1 |
Thailand | 1 |
Synergy | 1 |
TELEMEDICINE | 1 |
TH | 1 |
TP0 | 1 |
TRIALS | 1 |
TWAR | 1 |
TWC | 1 |
TX | 1 |
Tab | 1 |
Tables | 1 |
Tam | 1 |
Tanujit | 1 |
Target | 1 |
Targets | 1 |
Task | 1 |
Tech | 1 |
Technical | 1 |
Tennessee | 1 |
Term | 1 |
Solitons | 1 |
SoV-2 | 1 |
Reviewer | 1 |
SPSS | 1 |
S8-S10 | 1 |
SA | 1 |
SAES | 1 |
SARs | 1 |
SD | 1 |
SE | 1 |
SEROCoV | 1 |
SHEET | 1 |
SP | 1 |
SSA | 1 |
Samuel | 1 |
SSE | 1 |
Saavedra | 1 |
Saberi | 1 |
Sacks | 1 |
Sage | 1 |
Saint | 1 |
Salk | 1 |
Salud | 1 |
Salut | 1 |
S7 | 1 |
S6 | 1 |
S4 | 1 |
S3 | 1 |
Reykjavik | 1 |
Reza | 1 |
Richard | 1 |
Riley | 1 |
Ritonavir | 1 |
Roche | 1 |
Rodo | 1 |
Rome | 1 |
Room | 1 |
Rooney | 1 |
Rosalind | 1 |
Rosello | 1 |
Rossi | 1 |
Run | 1 |
Russell | 1 |
Ruth | 1 |
S1-S5 | 1 |
S10 | 1 |
S2 | 1 |
Salute | 1 |
San | 1 |
Sixth | 1 |
Siavelis | 1 |
Shankar | 1 |
Shen | 1 |
Shenzhen | 1 |
Shield | 1 |
Shifted | 1 |
Shiite | 1 |
Shincheonji | 1 |
Shu | 1 |
Shutdown | 1 |
Sierra | 1 |
Sanidad | 1 |
Silver | 1 |
Simon | 1 |
Simona | 1 |
Simonsen | 1 |
Simpson | 1 |
Simulation | 1 |
Sitharaman | 1 |
Situación | 1 |
Situation | 1 |
Shanghai | 1 |
Shangai | 1 |
Shandong | 1 |
Servizio | 1 |
Sanitarias | 1 |
Sanofi | 1 |
Sarah | 1 |
Sarcopenia | 1 |
Scaling | 1 |
Scatterplot | 1 |
Schlussfolgerungen | 1 |
Schwartz | 1 |
Scientific | 1 |
Screening | 1 |
Seafood | 1 |
Search | 1 |
Sebastian | 1 |
See | 1 |
Sentinel | 1 |
Sepsis | 1 |
Serena | 1 |
Serial | 1 |
Service | 1 |
): | 1 |