This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
hubei province | 413 |
confirmed cases | 239 |
novel coronavirus | 202 |
outside hubei | 165 |
floating population | 105 |
public health | 94 |
cities outside | 83 |
incubation period | 76 |
wuhan city | 76 |
copyright holder | 73 |
granted medrxiv | 72 |
author funder | 72 |
mainland china | 68 |
death rate | 65 |
wuhan lockdown | 64 |
new cases | 59 |
made available | 56 |
international license | 53 |
city population | 51 |
population movement | 50 |
college students | 49 |
control measures | 48 |
spring festival | 48 |
coronavirus disease | 47 |
travel restrictions | 46 |
health commission | 45 |
world health | 45 |
total number | 43 |
health organization | 43 |
acute respiratory | 41 |
transmission dynamics | 40 |
mental health | 39 |
reported cases | 38 |
imported cases | 38 |
national health | 37 |
transmission rate | 35 |
social distancing | 35 |
infectious diseases | 34 |
reproduction number | 34 |
severe acute | 33 |
epidemic spread | 33 |
respiratory syndrome | 33 |
bacterial pneumonia | 32 |
official policies | 31 |
human mobility | 31 |
coronavirus pneumonia | 31 |
infected cases | 30 |
new coronavirus | 30 |
ncov outbreak | 30 |
infectious disease | 29 |
cord uid | 29 |
transmission rates | 29 |
doc id | 29 |
confirmed patients | 28 |
infection cases | 27 |
daily new | 27 |
chinese cities | 27 |
fixed effects | 27 |
medrxiv preprint | 26 |
epidemiological characteristics | 26 |
influenza virus | 25 |
authors declare | 25 |
years old | 25 |
health measures | 24 |
mortality rate | 24 |
early stage | 24 |
eating wildlife | 24 |
basic reproduction | 24 |
two categories | 24 |
cumulative number | 24 |
medical resources | 24 |
transmission routes | 24 |
destination cities | 23 |
income losses | 23 |
excluding wuhan | 23 |
quarantine rate | 22 |
wildlife meat | 22 |
clinical characteristics | 22 |
closed management | 22 |
coronavirus outbreak | 22 |
different regions | 22 |
hbv dna | 22 |
generation spread | 22 |
population flow | 21 |
wind speed | 21 |
new year | 21 |
previous studies | 21 |
whole country | 21 |
actual number | 21 |
population outflow | 21 |
health care | 21 |
suspected cases | 21 |
ncov infection | 20 |
local cases | 20 |
infected individuals | 20 |
instrumental variables | 20 |
correlation coefficient | 20 |
virus infection | 20 |
generation spreads | 20 |
new confirmed | 20 |
bacterial meningitis | 20 |
cases reported | 20 |
population mobility | 19 |
confirmed covid | 19 |
mobility patterns | 19 |
virus transmission | 19 |
fatality rate | 19 |
infected patients | 19 |
human transmission | 18 |
united states | 18 |
sensitivity analysis | 18 |
epidemic sources | 17 |
seiar model | 17 |
infected population | 17 |
virus effect | 17 |
many cities | 17 |
infected pneumonia | 17 |
per capita | 17 |
informed consent | 17 |
except hubei | 17 |
seir model | 17 |
panic effect | 17 |
population movements | 16 |
family members | 16 |
preceding first | 16 |
data collection | 16 |
statistically significant | 16 |
weather conditions | 16 |
clinical features | 16 |
epidemic situation | 16 |
confirmed case | 16 |
chikv infection | 16 |
south korea | 16 |
basic functions | 16 |
science foundation | 16 |
without permission | 16 |
present study | 16 |
family outdoor | 15 |
outdoor restrictions | 15 |
epidemic control | 15 |
pharmaceutical interventions | 15 |
international spread | 15 |
reuse allowed | 15 |
close contact | 15 |
since january | 15 |
avian influenza | 15 |
officially reported | 15 |
modelling study | 15 |
mobility data | 15 |
allowed without | 15 |
rights reserved | 15 |
chinese provinces | 15 |
sars outbreak | 15 |
bacillary dysentery | 15 |
negative emotions | 15 |
confidence interval | 15 |
city transmissions | 15 |
cumulative confirmed | 15 |
systematic review | 15 |
hubei cities | 15 |
natural science | 15 |
chinese government | 15 |
mobile devices | 14 |
african swine | 14 |
wildlife consumption | 14 |
hong kong | 14 |
early transmission | 14 |
case fatality | 14 |
disease control | 14 |
symptom onset | 14 |
genotype xxvi | 14 |
population flows | 14 |
generation sequencing | 14 |
inflow population | 14 |
csf samples | 14 |
second weeks | 14 |
serum cd | 14 |
swine fever | 14 |
dummy variable | 14 |
exposed individuals | 14 |
festival holiday | 14 |
disease onset | 14 |
plateau phase | 14 |
minion sequencing | 14 |
migrant workers | 14 |
chikungunya virus | 14 |
per day | 14 |
reproductive number | 14 |
much higher | 14 |
rrna gene | 14 |
respiratory failure | 14 |
ei outbreaks | 14 |
mobility restrictions | 14 |
first week | 14 |
health interventions | 13 |
final diagnosis | 13 |
population migration | 13 |
infected people | 13 |
factors associated | 13 |
takes value | 13 |
higher education | 13 |
average number | 13 |
local travel | 13 |
linear regression | 13 |
migration data | 13 |
fitting method | 13 |
certain industry | 13 |
outside wuhan | 13 |
virus transmissions | 13 |
destination city | 13 |
weather variables | 13 |
late january | 13 |
virus spread | 13 |
birth defects | 13 |
viral pneumonia | 13 |
fourth weeks | 12 |
public vigilance | 12 |
cases i | 12 |
also find | 12 |
cumulative infections | 12 |
chronic hepatitis | 12 |
two weeks | 12 |
population inflow | 12 |
equine jilin | 12 |
potential domestic | 12 |
influenza surveillance | 12 |
initial confirmed | 12 |
city i | 12 |
basic reproductive | 12 |
growth rate | 12 |
cure rate | 12 |
eat wildlife | 12 |
different cities | 12 |
national natural | 12 |
excluding hubei | 12 |
preventive measures | 11 |
previous day | 11 |
relative error | 11 |
different genders | 11 |
health problems | 11 |
city fixed | 11 |
heilongjiang province | 11 |
ncov virus | 11 |
environmental factors | 11 |
patients infected | 11 |
recovery rate | 11 |
global public | 11 |
removal rate | 11 |
legally protected | 11 |
cumulative cases | 11 |
global health | 11 |
population inflows | 11 |
location i | 11 |
species transmission | 11 |
close contacts | 11 |
china date | 11 |
relative humidity | 11 |
estimated number | 11 |
baidu migration | 11 |
educational level | 11 |
infectious rate | 11 |
th day | 11 |
hcv subtype | 10 |
clinically diagnosed | 10 |
china except | 10 |
significant differences | 10 |
provincial level | 10 |
family cluster | 10 |
municipal health | 10 |
capital city | 10 |
amino acid | 10 |
predicted number | 10 |
severe influenza | 10 |
domestic poultry | 10 |
fever virus | 10 |
current study | 10 |
standard deviation | 10 |
province excluding | 10 |
stage one | 10 |
person transmission | 10 |
log distance | 10 |
diagnostic performance | 10 |
influenza subtype | 10 |
differential equations | 10 |
serum samples | 10 |
risk factors | 10 |
million people | 10 |
genome sequences | 10 |
cases within | 10 |
competing interests | 10 |
relative rate | 10 |
coefficient estimate | 10 |
hbv reactivation | 10 |
confirmed bacterial | 10 |
pandemic influenza | 10 |
new hcv | 10 |
correlation analysis | 10 |
wild animals | 10 |
outbreak originating | 10 |
gdp per | 10 |
hcv xi | 10 |
membrane oxygenation | 10 |
suspected bacterial | 10 |
consumed wildlife | 10 |
data analysis | 10 |
bat origin | 10 |
dna levels | 10 |
one new | 10 |
attitudes towards | 10 |
second week | 10 |
southernmost provinces | 10 |
inflection point | 10 |
time interval | 10 |
iv regressions | 10 |
capital asset | 10 |
lunar calendar | 10 |
dependent variable | 10 |
intensive care | 10 |
first day | 10 |
pneumonia patients | 10 |
hospital admission | 10 |
viral infection | 9 |
treat takes | 9 |
contact rate | 9 |
quarantined cases | 9 |
within hubei | 9 |
gwr model | 9 |
important role | 9 |
hospital stay | 9 |
pearson correlation | 9 |
health commissions | 9 |
hubei provinces | 9 |
city mobility | 9 |
scale outbreak | 9 |
human movement | 9 |
hot spots | 9 |
start date | 9 |
relative errors | 9 |
spatial distribution | 9 |
provincial capital | 9 |
household transmission | 9 |
among participants | 9 |
state council | 9 |
latent time | 9 |
diagnosed cases | 9 |
nuclear families | 9 |
age groups | 9 |
cases outside | 9 |
nucleic acid | 9 |
surveillance system | 9 |
health emergency | 9 |
creative commons | 9 |
pneumonia outbreak | 9 |
maximum temperature | 9 |
chinese national | 9 |
regression models | 9 |
seasonal influenza | 9 |
lockdown effect | 9 |
novel fitting | 9 |
may also | 9 |
different stages | 9 |
population density | 9 |
deaths per | 9 |
city travel | 9 |
syndrome coronavirus | 9 |
within days | 9 |
ethics committee | 9 |
lunar new | 9 |
time period | 9 |
seird model | 9 |
seafood wholesale | 9 |
wholesale market | 9 |
first medical | 9 |
isolation policy | 9 |
significantly higher | 9 |
available data | 8 |
demographic information | 8 |
turning point | 8 |
new infections | 8 |
regression model | 8 |
daa treatment | 8 |
total infections | 8 |
large number | 8 |
publicly available | 8 |
genetic distances | 8 |
coronavirus cases | 8 |
imported chikv | 8 |
patient information | 8 |
sars epidemic | 8 |
epidemic trend | 8 |
mild symptoms | 8 |
logistic regression | 8 |
i equals | 8 |
infectious cases | 8 |
previous study | 8 |
daily deaths | 8 |
initial conditions | 8 |
china excluding | 8 |
wuhan cities | 8 |
recent years | 8 |
transmission relative | 8 |
among male | 8 |
table reports | 8 |
second sub | 8 |
high risk | 8 |
one month | 8 |
new case | 8 |
coronavirus diseases | 8 |
public data | 8 |
cities inside | 8 |
growth rates | 8 |
prevalence rates | 8 |
farming equines | 8 |
daily number | 8 |
across cities | 8 |
rat ace | 8 |
wuhan municipal | 8 |
nitrogen dioxide | 8 |
every day | 8 |
epidemiological regions | 8 |
human movements | 8 |
migration intensity | 8 |
total population | 8 |
yunnan province | 8 |
indian ocean | 8 |
sequencing run | 8 |
inspected wildlife | 8 |
high school | 8 |
national influenza | 8 |
preceding third | 8 |
distancing measures | 8 |
hiv patients | 8 |
dv model | 8 |
floating populations | 8 |
divergent region | 8 |
written informed | 8 |
weekly averages | 8 |
genetic distance | 8 |
measures taken | 8 |
respiratory disease | 8 |
associated substitutions | 8 |
eat inspected | 8 |
disease risk | 8 |
human primates | 8 |
enhanced social | 8 |
clinical study | 8 |
inverse log | 8 |
influenza seasonality | 8 |
two cities | 8 |
infection rate | 8 |
virus outbreak | 8 |
ii scores | 8 |
susceptible individuals | 8 |
city area | 8 |
gal receptor | 8 |
two subtypes | 8 |
students outside | 8 |
ncov epidemic | 8 |
influenza season | 8 |
effective reproduction | 8 |
statistical analysis | 8 |
standard errors | 8 |
chinese new | 8 |
apache ii | 8 |
collected data | 8 |
water food | 8 |
daily infections | 7 |
supplementary material | 7 |
clinical data | 7 |
much lower | 7 |
travel bans | 7 |
one day | 7 |
huanan seafood | 7 |
rapid increase | 7 |
chinese center | 7 |
coronavirus indicating | 7 |
pneumonia associated | 7 |
indicating person | 7 |
driven analysis | 7 |
class i | 7 |
control study | 7 |
study indicated | 7 |
results indicate | 7 |
grant number | 7 |
influenza vaccination | 7 |
local public | 7 |
two variables | 7 |
modified model | 7 |
public transport | 7 |
demographic characteristics | 7 |
lockdown policies | 7 |
total deaths | 7 |
mathematical models | 7 |
large proportion | 7 |
receptor usage | 7 |
chinese spring | 7 |
associated factors | 7 |
among college | 7 |
mean age | 7 |
rigorous isolation | 7 |
high level | 7 |
coefficient estimates | 7 |
hubei excluding | 7 |
different industries | 7 |
rank correlation | 7 |
results show | 7 |
error term | 7 |
final draft | 7 |
using data | 7 |
percent errors | 7 |
macao sar | 7 |
daily level | 7 |
actual data | 7 |
new covid | 7 |
got opportunity | 7 |
education level | 7 |
household registers | 7 |
material associated | 7 |
potential third | 7 |
rural household | 7 |
central south | 7 |
perinatal infants | 7 |
daily maximum | 7 |
epidemic will | 7 |
level cities | 7 |
virus disease | 7 |
estimation sample | 7 |
medical visit | 7 |
economic factors | 7 |
central china | 7 |
one case | 7 |
epidemic development | 7 |
air pollution | 7 |
pneumonia diagnosis | 7 |
largest number | 7 |
positive correlation | 7 |
percent error | 7 |
new infection | 7 |
hubei part | 7 |
next day | 7 |
recovered cases | 7 |
newly confirmed | 7 |
online version | 7 |
existing literature | 7 |
significant increase | 7 |
respiratory syncytial | 7 |
allows us | 7 |
february th | 7 |
granger causality | 7 |
variables include | 7 |
shigellosis cases | 7 |
daily infection | 7 |
performed using | 7 |
pregnant women | 7 |
typhoon eye | 7 |
city lockdown | 7 |
may still | 7 |
migration index | 7 |
stage two | 7 |
determinant powers | 7 |
distancing policies | 7 |
familial cluster | 7 |
palm civets | 7 |
cases increased | 7 |
household registration | 7 |
seafood market | 7 |
outflow population | 7 |
city level | 7 |
case contact | 7 |
study showed | 7 |
eaten wildlife | 7 |
severe cases | 7 |
reviewed drafts | 7 |
gradually decreased | 7 |
daily reported | 7 |
data collected | 7 |
weather controls | 7 |
china mainland | 7 |
yichang city | 6 |
urgent need | 6 |
percent level | 6 |
admission csf | 6 |
epidemiological parameters | 6 |
possible infections | 6 |
acquired pneumonia | 6 |
missing data | 6 |
medical supplies | 6 |
chikungunya fever | 6 |
low levels | 6 |
sample period | 6 |
public transportation | 6 |
public concern | 6 |
piba method | 6 |
successfully amplified | 6 |
asian countries | 6 |
without initial | 6 |
throughout china | 6 |
rate among | 6 |
supplementary materials | 6 |
coronavirus associated | 6 |
severe disease | 6 |
coronavirus infections | 6 |
exposed cases | 6 |
viral load | 6 |
two strains | 6 |
epicenter cities | 6 |
ei outbreak | 6 |
least square | 6 |
daily average | 6 |
corona virus | 6 |
ith day | 6 |
term period | 6 |
financial interests | 6 |
mouse ace | 6 |
seven cities | 6 |
location transmissions | 6 |
total infected | 6 |
summertime epidemics | 6 |
interspecies transmission | 6 |
virus survival | 6 |
probable bat | 6 |
measures implemented | 6 |
mediating variables | 6 |
accumulated confirmed | 6 |
plateau phases | 6 |
early detection | 6 |
three strains | 6 |
various regions | 6 |
hcv genotype | 6 |
case leads | 6 |
household contact | 6 |
i will | 6 |
absolute percent | 6 |
based service | 6 |
stress disorder | 6 |
yamagata epidemics | 6 |
infected person | 6 |
age group | 6 |
big data | 6 |
febrile returning | 6 |
highly divergent | 6 |
piba model | 6 |
contact tracing | 6 |
two novel | 6 |
increased rapidly | 6 |
hubei exposure | 6 |
infection caused | 6 |
com scientificreports | 6 |
ei vaccines | 6 |
tube defects | 6 |
yamagata virus | 6 |
control strategies | 6 |
quarantine time | 6 |
daily confirmed | 6 |
transmission among | 6 |
equine influenza | 6 |
spread ability | 6 |
statistical yearbook | 6 |
effective measures | 6 |
nearby cities | 6 |
undocumented infection | 6 |
ecmo support | 6 |
weather characteristics | 6 |
mediating effects | 6 |
rural areas | 6 |
attenuation factor | 6 |
sars coronavirus | 6 |
outside china | 6 |
henan province | 6 |
inside hubei | 6 |
influential inter | 6 |
results suggest | 6 |
distance weighted | 6 |
sectional study | 6 |
infection period | 6 |
corporeal membrane | 6 |
hubei wuhan | 6 |
hcv subtypes | 6 |
mental symptoms | 6 |
local governments | 6 |
ncov transmission | 6 |
three epidemiological | 6 |
human infection | 6 |
wuhan trajectories | 6 |
local transmission | 6 |
east central | 6 |
weighted regression | 6 |
nanopore sequencer | 6 |
consecutive days | 6 |
coronavirus covid | 6 |
southernmost chinese | 6 |
multivariable logistic | 6 |
iu ml | 6 |
transformation process | 6 |
cities without | 6 |
reported confirmed | 6 |
population emigration | 6 |
gene sequences | 6 |
lstm model | 6 |
death cases | 6 |
relatively high | 6 |
geographically weighted | 6 |
exposure effect | 6 |
geographic proximity | 6 |
li shi | 6 |
reduction rate | 6 |
child health | 6 |
psychological stress | 6 |
neural tube | 6 |
highly contagious | 6 |
human ace | 6 |
subtype xi | 6 |
virus effects | 6 |
ecsa genotype | 6 |
contact history | 6 |
protective measures | 6 |
viral infectivity | 6 |
hbv viral | 6 |
sequence alignment | 6 |
modified seird | 6 |
acting antivirals | 6 |
body temperature | 6 |
novel genotypes | 6 |
independent variables | 6 |
south african | 6 |
estimated coefficients | 6 |
eiv strain | 6 |
accumulative confirmed | 6 |
icu admission | 6 |
surveillance hospitals | 6 |
cumulative numbers | 6 |
protection rate | 6 |
eye effect | 6 |
adult patients | 6 |
different mobility | 6 |
two sequences | 6 |
harbin city | 6 |
surveillance data | 6 |
commons licence | 6 |
salt bridge | 6 |
transmission risk | 6 |
different species | 6 |
mobile device | 6 |
among workers | 6 |
feedback process | 6 |
epidemic curve | 6 |
starting date | 6 |
new york | 6 |
undocumented cases | 6 |
two epidemic | 6 |
participants outside | 6 |
hyperbolic tangent | 6 |
study design | 6 |
estimation results | 6 |
hbv infection | 6 |
suspected patients | 6 |
device traces | 6 |
dynamic transmission | 6 |
first case | 6 |
outbreak started | 6 |
see table | 5 |
epidemic source | 5 |
infections among | 5 |
traumatic stress | 5 |
depression among | 5 |
economic impacts | 5 |
urban areas | 5 |
total cases | 5 |
three models | 5 |
medical treatment | 5 |
square method | 5 |
case counts | 5 |
inner mongolia | 5 |
losses caused | 5 |
care unit | 5 |
unlocked cities | 5 |
disease transmission | 5 |
atypical pneumonia | 5 |
prepared figures | 5 |
model according | 5 |
across china | 5 |
one standard | 5 |
since february | 5 |
dynamic effects | 5 |
transmission features | 5 |
early estimation | 5 |
original model | 5 |
executed continually | 5 |
epidemic disease | 5 |
epidemic characteristics | 5 |
chinese version | 5 |
several studies | 5 |
epidemic outbreak | 5 |
first confirmed | 5 |
updated estimation | 5 |
nuclear family | 5 |
care system | 5 |
death numbers | 5 |
nan doi | 5 |
level i | 5 |
great importance | 5 |
remaining provinces | 5 |
appendix table | 5 |
estimated actual | 5 |
two sub | 5 |
attack rate | 5 |
diagnosed patients | 5 |
day fixed | 5 |
counterfactual world | 5 |
early phase | 5 |
wuhan novel | 5 |
patients will | 5 |
situation report | 5 |
epidemic surveillance | 5 |
first days | 5 |
families originate | 5 |
reported data | 5 |
critically ill | 5 |
economic influence | 5 |
mean period | 5 |
mobility control | 5 |
risk areas | 5 |
different age | 5 |
mathematical model | 5 |
trend assumption | 5 |
next generation | 5 |
origination city | 5 |
study area | 5 |
significantly correlated | 5 |
human respiratory | 5 |
human exposure | 5 |
outbreak caused | 5 |
substantial undocumented | 5 |
three days | 5 |
see text | 5 |
human migrations | 5 |
mobility index | 5 |
preliminary estimation | 5 |
asset pricing | 5 |
well known | 5 |
parallel trend | 5 |
significantly different | 5 |
among chinese | 5 |
capital cities | 5 |
health questionnaire | 5 |
stop eating | 5 |
pricing model | 5 |
first stage | 5 |
time lag | 5 |
demographic data | 5 |
current situation | 5 |
public events | 5 |
beds per | 5 |
around february | 5 |
also important | 5 |
chinese population | 5 |
heavy income | 5 |
control group | 5 |
pilot study | 5 |
study used | 5 |
epidemic data | 5 |
different quarantine | 5 |
time infections | 5 |
descriptive study | 5 |
adjusted odds | 5 |
significant changes | 5 |
rapid spread | 5 |
jiangxi provinces | 5 |
i means | 5 |
regional differences | 5 |
epidemic predictions | 5 |
local government | 5 |
epidemiological virus | 5 |
health concern | 5 |
marital status | 5 |
top districts | 5 |
country except | 5 |
secondary epidemic | 5 |
previous years | 5 |
influenza viruses | 5 |
subscript i | 5 |
relative risk | 5 |
care systems | 5 |
administrative cities | 5 |
bd prevalence | 5 |
end date | 5 |
patient health | 5 |
junior high | 5 |
first visit | 5 |
later phase | 5 |
see appendix | 5 |
confidence intervals | 5 |
economic development | 5 |
competing financial | 5 |
different countries | 5 |
prediction interval | 5 |
clinical practice | 5 |
tests given | 5 |
distress caused | 5 |
outbreak occurred | 5 |
probability density | 5 |
control cities | 5 |
analyses showed | 5 |
higher values | 5 |
secondary education | 5 |
respiratory distress | 5 |
local outbreaks | 5 |
official website | 5 |
study aims | 5 |
baidu qianxi | 5 |
stopped eating | 5 |
crucial importance | 5 |
consuming wildlife | 5 |
data driven | 5 |
quarantine period | 5 |
significantly lower | 5 |
participants reported | 5 |
mid february | 5 |
study protocol | 5 |
infected class | 5 |
coronavirus infection | 5 |
economic losses | 5 |
may result | 5 |
examine whether | 5 |
preceding weeks | 5 |
quarantine class | 5 |
respiratory diseases | 5 |
social distance | 5 |
transmission mode | 5 |
transmission route | 5 |
china cdc | 5 |
stock exchange | 5 |
zhejiang province | 5 |
tangent functions | 5 |
real time | 5 |
two groups | 5 |
spatiotemporal association | 5 |
severe symptoms | 5 |
clinical symptoms | 5 |
dynamical model | 5 |
different time | 5 |
first report | 5 |
inflow i | 5 |
pay attention | 5 |
guangdong province | 5 |
chinese versions | 5 |
hardest hit | 5 |
within week | 5 |
mathematical modeling | 5 |
contact transmission | 5 |
contemporaneous weather | 5 |
normal distribution | 5 |
high levels | 5 |
positively associated | 5 |
determine whether | 5 |
healthcare workers | 5 |
daily within | 5 |
infected household | 5 |
central government | 5 |
weighted sum | 5 |
health emergencies | 5 |
model using | 5 |
converting enzyme | 5 |
circle layer | 5 |
study found | 5 |
epidemic analysis | 5 |
healthy people | 5 |
death rates | 5 |
negative feedback | 5 |
lagging day | 5 |
travel ban | 5 |
high mortality | 5 |
better understand | 5 |
early epidemic | 5 |
first half | 5 |
term business | 5 |
i eat | 5 |
million confirmed | 5 |
female individuals | 5 |
huoshenshan hospital | 5 |
potential total | 5 |
economic impact | 5 |
sar government | 5 |
clinical diagnosis | 5 |
location information | 5 |
risk activities | 4 |
spread rapidly | 4 |
city migration | 4 |
lower temperature | 4 |
average incubation | 4 |
social media | 4 |
urinary tract | 4 |
autonomous regions | 4 |
lagged population | 4 |
novel cornonavirus | 4 |
continuous molecular | 4 |
help us | 4 |
good predictive | 4 |
city lockdowns | 4 |
people will | 4 |
alcohol use | 4 |
march th | 4 |
known hcv | 4 |
dna test | 4 |
psychological impact | 4 |
complete genome | 4 |
original met | 4 |
directly related | 4 |
daily income | 4 |
patients diagnosed | 4 |
positive emotions | 4 |
returning travellers | 4 |
baseline ras | 4 |
population within | 4 |
summary statistics | 4 |
virus genomes | 4 |
stringent measures | 4 |
participants provided | 4 |
extracorporeal membrane | 4 |
current new | 4 |
total bacterial | 4 |
seasonal variations | 4 |
shigella species | 4 |
national epidemic | 4 |
acquired influenza | 4 |
remain unchanged | 4 |
final diagnoses | 4 |
test results | 4 |
initial values | 4 |
campylobacter fetus | 4 |
potential threat | 4 |
exponential function | 4 |
apoptosis inhibitor | 4 |
also included | 4 |
two significant | 4 |
wash hands | 4 |
health problem | 4 |
tract infection | 4 |
left wuhan | 4 |
outcomes among | 4 |
alignment program | 4 |
mixed first | 4 |
antimicrobial therapy | 4 |
outbreak associated | 4 |
bacterial infection | 4 |
medical conditions | 4 |
lbs requests | 4 |
blood cell | 4 |
explanatory variables | 4 |
uk severe | 4 |
susceptible exposed | 4 |
dear editor | 4 |
infection reported | 4 |
hydrophobic interaction | 4 |
total score | 4 |
hospitalization rate | 4 |
global spread | 4 |
virus emergence | 4 |
respiratory tract | 4 |
daa initiation | 4 |
serious consequences | 4 |
chinese regions | 4 |
shorter hospital | 4 |
january onwards | 4 |
many people | 4 |
reported previously | 4 |
eiv strains | 4 |
may originate | 4 |
medical university | 4 |
clinical criteria | 4 |
results showed | 4 |
significance level | 4 |
virus interaction | 4 |
confirmed infections | 4 |
based seiar | 4 |
emerging infectious | 4 |
provinces adjacent | 4 |
near future | 4 |
case reports | 4 |
first sub | 4 |
effectively reduce | 4 |
using minion | 4 |
monophyletic cluster | 4 |
cumulative infected | 4 |
international committee | 4 |
additional file | 4 |
genotypes xxv | 4 |
may lead | 4 |
global covid | 4 |
curve fitting | 4 |
molecular screening | 4 |
antiretroviral therapy | 4 |
entire epidemic | 4 |
ten cases | 4 |
detection methods | 4 |
reference sequences | 4 |
gram stain | 4 |
hit areas | 4 |
health policies | 4 |
february nd | 4 |
immune system | 4 |
third generation | 4 |
parameter values | 4 |
table shows | 4 |
two aspects | 4 |
disease trajectory | 4 |
birth defect | 4 |
days ago | 4 |
certain extent | 4 |
absolute humidity | 4 |
urgently needed | 4 |
spatial distributions | 4 |
hit area | 4 |
around march | 4 |
fever viruses | 4 |
strict quarantine | 4 |
early days | 4 |
general epidemic | 4 |
white blood | 4 |
subtype lineage | 4 |
device trace | 4 |
ace may | 4 |
average errors | 4 |
medical system | 4 |
pdm virus | 4 |
spread throughout | 4 |
time risk | 4 |
haemophilus influenzae | 4 |
average numbers | 4 |
predict mortality | 4 |
influenza subtypes | 4 |
controls include | 4 |
prospective observational | 4 |
cases decreased | 4 |
week lag | 4 |
one city | 4 |
hubei chinese | 4 |
based algorithm | 4 |
representative subtypes | 4 |
multiple linear | 4 |
deaths worldwide | 4 |
cases reached | 4 |
day time | 4 |
propagation dynamics | 4 |
time periods | 4 |
chikv strains | 4 |
risk population | 4 |
human infections | 4 |
research funding | 4 |
province may | 4 |
maximum number | 4 |
major pathogen | 4 |
high rates | 4 |
influential routes | 4 |
ebola virus | 4 |
minion nanopore | 4 |
pig model | 4 |
hubei outbreak | 4 |
among hosts | 4 |
case definitions | 4 |
european countries | 4 |
isolate km | 4 |
year holiday | 4 |
clinical samples | 4 |
epidemiologic link | 4 |
confirmed standards | 4 |
low rate | 4 |
comparative global | 4 |
partial lockdown | 4 |
important lessons | 4 |
time delay | 4 |
minion reads | 4 |
influenza vaccine | 4 |
coronavirus within | 4 |
evolution curves | 4 |
xi strains | 4 |
social interactions | 4 |
cleft lip | 4 |
coming week | 4 |
towards wildlife | 4 |
characterized seasonal | 4 |
day divided | 4 |
novel method | 4 |
across temperate | 4 |
extracted nucleic | 4 |
will initially | 4 |
horizontal axis | 4 |
tourism industries | 4 |
may contribute | 4 |
constructed using | 4 |
inflection points | 4 |
epidemics across | 4 |
preferentially bind | 4 |
will need | 4 |
carbon dioxide | 4 |
meningitis pathogens | 4 |
protein contributing | 4 |
school level | 4 |
bacteria infection | 4 |
unknown etiology | 4 |
equine population | 4 |
novel hcv | 4 |
bp sliding | 4 |
acting antiviral | 4 |
conventional therapy | 4 |
corresponding author | 4 |
infectious asymptomatic | 4 |
interrupt transmission | 4 |
epidemiological data | 4 |
link among | 4 |
national level | 4 |
maximal conventional | 4 |
source control | 4 |
spike protein | 4 |
future studies | 4 |
losses exposed | 4 |
international concern | 4 |
southeast asian | 4 |
three mobility | 4 |
steric hindrance | 4 |
positive bacteria | 4 |
supplementary table | 4 |
early response | 4 |
population distribution | 4 |
problematic sequences | 4 |
outbreak will | 4 |
electrostatic potential | 4 |
research system | 4 |
closed cases | 4 |
greater risk | 4 |
official confirmation | 4 |
basal serology | 4 |
also showed | 4 |
festival effect | 4 |
whole world | 4 |
incidence risk | 4 |
animal experiments | 4 |
consume wildlife | 4 |
mental disorders | 4 |
three sequences | 4 |
spatial characteristics | 4 |
laboratory surveillance | 4 |
obtained reads | 4 |
day mortality | 4 |
control policies | 4 |
victoria epidemics | 4 |
table presents | 4 |
online questionnaire | 4 |
daily case | 4 |
civet ace | 4 |
epidemic prevention | 4 |
hot condition | 4 |
overlapping fragments | 4 |
main reason | 4 |
china early | 4 |
adaptive immunity | 4 |
institutional review | 4 |
intermediate hosts | 4 |
high prevalence | 4 |
high degree | 4 |
migrant population | 4 |
positive patients | 4 |
preceding days | 4 |
capsid protein | 4 |
hubei region | 4 |
small number | 4 |
modeling study | 4 |
biomarker guided | 4 |
one patient | 4 |
conducted using | 4 |
bootstrap value | 4 |
less severe | 4 |
genetic diversity | 4 |
something novel | 4 |
phosphoprotein inhibitor | 4 |
hepatic enzymes | 4 |
government response | 4 |
human migration | 4 |
secondary attack | 4 |
family migration | 4 |
three types | 4 |
piba formula | 4 |
perceived risk | 4 |
will increase | 4 |
ten patients | 4 |
hcv treatment | 4 |
chinese adults | 4 |
community acquired | 4 |
bacterial species | 4 |
analysis using | 4 |
drug resistance | 4 |
secondary school | 4 |
education levels | 4 |
reported shigellosis | 4 |
ten chikv | 4 |
higher risk | 4 |
infections will | 4 |
nucleotide sequences | 4 |
community transmissions | 4 |
evolving epidemiology | 4 |
endogenous variables | 4 |
study included | 4 |
reduce hospitalization | 4 |
entire study | 4 |
unobserved determinants | 4 |
except wuhan | 4 |
color represents | 4 |
severely affected | 4 |
several days | 4 |
latitude chinese | 4 |
multiple sequence | 4 |
air pollutants | 4 |
potential start | 4 |
ordinary differential | 4 |
stock market | 4 |
based analysis | 4 |
genotype i | 4 |
emotional infection | 4 |
using spss | 4 |
showed positive | 4 |
sliding window | 4 |
reasonable request | 4 |
cohort study | 4 |
requesting mobile | 4 |
guinea pig | 4 |
survey data | 4 |
global perspective | 4 |
participants aged | 4 |
data used | 4 |
local transmissions | 4 |
recently published | 4 |
city movements | 4 |
hiv hcv | 4 |
shanghai stock | 4 |
infection point | 4 |
acquired febrile | 4 |
regression coefficient | 4 |
highly correlated | 4 |
slightly longer | 4 |
among patients | 4 |
epidemic situations | 4 |
even though | 4 |
response rate | 4 |
information based | 4 |
virus reactivation | 4 |
deaths line | 4 |
also found | 4 |
amplicon sequencing | 4 |
household members | 4 |
prospective study | 4 |
different transmission | 4 |
early stages | 4 |
cases will | 4 |
permanent population | 4 |
virus isolates | 4 |
curve represents | 4 |
highest probability | 4 |
international travel | 4 |
extracted turning | 4 |
reported infections | 4 |
infections caused | 4 |
china impact | 4 |
actual patients | 4 |
five days | 4 |
anhui province | 4 |
square test | 4 |
source area | 4 |
staphylococcus aureus | 4 |
sequence divergence | 4 |
composite index | 4 |
seasonality patterns | 4 |
closing price | 4 |
laboratory test | 4 |
infectious recovered | 4 |
daily population | 4 |
two outbreaks | 4 |
mediation analysis | 4 |
shigellosis among | 4 |
predictive power | 4 |
spread trend | 4 |
i responses | 4 |
million migrants | 4 |
calculated using | 4 |
epithelial cells | 4 |
transmission control | 4 |
smallest relative | 4 |
organ failure | 4 |
increase rapidly | 4 |
highly infectious | 4 |
southeastern asia | 4 |
lasso method | 4 |
directly affect | 4 |
dmp cities | 4 |
real data | 4 |
two days | 4 |
pairwise genetic | 4 |
day i | 4 |
sofosbuvir ledipasvir | 4 |
nine children | 4 |
spatiotemporal data | 4 |
isolated eiv | 4 |
global cases | 4 |
exposed infectious | 4 |
hopkins csse | 4 |
time series | 4 |
term exposure | 4 |
total infection | 4 |
will cause | 4 |
phylogenetic analyses | 4 |
excluded instruments | 4 |
lockdown period | 4 |
nucleotide divergence | 4 |
since feb | 4 |
ongoing covid | 4 |
among hiv | 4 |
transmission events | 4 |
two types | 4 |
give rise | 4 |
phylogenetic analysis | 4 |
also recommend | 4 |
two reasons | 4 |
outbreak control | 4 |
greatly reduced | 4 |
environmental predictors | 4 |
influenced areas | 4 |
primates may | 4 |
study participants | 4 |
causative pathogen | 4 |
chinese physicians | 4 |
unknown reasons | 4 |
infectious period | 4 |
contributed significantly | 4 |
shanghai composite | 4 |
negative bacteria | 4 |
city transmission | 4 |
given end | 4 |
score ranged | 4 |
different policy | 4 |
level administrative | 4 |
inverse inference | 4 |
actual situation | 4 |
quickly spread | 4 |
influenza epidemics | 4 |
various measures | 4 |
absolute value | 4 |
johns hopkins | 4 |
patients hbsag | 4 |
may influence | 4 |
highest number | 4 |
csf parameters | 4 |
population size | 4 |
confounding factors | 4 |
vaccine effectiveness | 4 |
treatment completion | 4 |
term memory | 4 |
next days | 4 |
distress syndrome | 4 |
adverse weather | 4 |
longer cycle | 4 |
global epidemiology | 4 |
initially designated | 4 |
per lagging | 4 |
febrile urinary | 4 |
second ei | 4 |
prevalent subtype | 4 |
urban area | 4 |
confirmed patient | 4 |
decreasing trend | 4 |
less attention | 4 |
statistical computing | 4 |
guided triage | 4 |
studies conducted | 3 |
certain market | 3 |
respiratory symptoms | 3 |
corresponding data | 3 |
sample size | 3 |
official websites | 3 |
nature remains | 3 |
cell counts | 3 |
existing studies | 3 |
cured cases | 3 |
general population | 3 |
activation function | 3 |
hubei takes | 3 |
time span | 3 |
control variables | 3 |
two models | 3 |
routine bacterial | 3 |
level pressure | 3 |
molecular diagnostic | 3 |
time dependent | 3 |
infected individual | 3 |
negative correlation | 3 |
public websites | 3 |
main findings | 3 |
health outcomes | 3 |
affect virus | 3 |
festival travel | 3 |
increased steadily | 3 |
shorter period | 3 |
review board | 3 |
spatial spread | 3 |
including i | 3 |
dependent transmission | 3 |
green whiskers | 3 |
widely used | 3 |
public places | 3 |
findings suggest | 3 |
treatment regimens | 3 |
causality matrix | 3 |
also consider | 3 |
maximum wind | 3 |
major symptoms | 3 |
may decrease | 3 |
health facilities | 3 |
provided informed | 3 |
term psychiatric | 3 |
coronavirus spike | 3 |
dew point | 3 |
see section | 3 |
obvious third | 3 |
china since | 3 |
fit curves | 3 |
data indicate | 3 |
different degrees | 3 |
negative news | 3 |
may need | 3 |
clear information | 3 |
parameters play | 3 |
lockdown may | 3 |
see si | 3 |
chi square | 3 |
cases today | 3 |
market trajectories | 3 |
cities directly | 3 |
local residents | 3 |
epidemic spreads | 3 |
healthy adults | 3 |
national policies | 3 |
capita gdp | 3 |
official data | 3 |
severe depression | 3 |
data available | 3 |
devices activated | 3 |
fewer cases | 3 |
also estimate | 3 |
first cases | 3 |
surrounding areas | 3 |
reduced inflow | 3 |
different lags | 3 |
contact reductions | 3 |
diabetes mellitus | 3 |
people infected | 3 |
model also | 3 |
cities implemented | 3 |
significant associations | 3 |
discharged children | 3 |
published data | 3 |
use capm | 3 |
estimated days | 3 |
provincial government | 3 |
help reduce | 3 |
mg kg | 3 |
present day | 3 |
epidemic progression | 3 |
health committee | 3 |
infection identification | 3 |
generation epidemic | 3 |
city closure | 3 |
final manuscript | 3 |
published maps | 3 |
spatial stratified | 3 |
personal protective | 3 |
fatality rates | 3 |
classical seir | 3 |
experimental study | 3 |
include weekly | 3 |
tests carried | 3 |
hospitalization isolation | 3 |
data quality | 3 |
growth model | 3 |
wuhan vs | 3 |
risk factor | 3 |
hubei reported | 3 |
average temperature | 3 |
counterfactual number | 3 |
abnormal factor | 3 |
dynamic model | 3 |
peak period | 3 |
disease transmissions | 3 |
panic effects | 3 |
categorical variables | 3 |
cases per | 3 |
significant results | 3 |
mainly due | 3 |
transmission network | 3 |
receptor recognition | 3 |
influenza outbreak | 3 |
hubei statistical | 3 |
interaction influence | 3 |
cold spots | 3 |
wuhan reduced | 3 |
considered statistically | 3 |
first outbreak | 3 |
remains neutral | 3 |
macao citizens | 3 |
official reports | 3 |
disease outbreaks | 3 |
return home | 3 |
red curves | 3 |
one index | 3 |
rcspline function | 3 |
transmissions may | 3 |
four parameters | 3 |
optimization problem | 3 |
risk relative | 3 |
severely ill | 3 |
exponential growth | 3 |
com cm | 3 |
preventable measures | 3 |
decreased since | 3 |
individuals i | 3 |
emotional states | 3 |
deterrence effect | 3 |
patients whose | 3 |
molecular epidemiology | 3 |
artificial intelligence | 3 |
delay dynamical | 3 |
usa performs | 3 |
socioeconomic factors | 3 |
case study | 3 |
time pcr | 3 |
additional data | 3 |
current number | 3 |
data covers | 3 |
epidemic growth | 3 |
cases since | 3 |
gradually decreasing | 3 |
large floating | 3 |
main source | 3 |
members per | 3 |
commons attribution | 3 |
government took | 3 |
another study | 3 |
location routes | 3 |
actual death | 3 |
estimated effects | 3 |
emotion status | 3 |
one hand | 3 |
cases may | 3 |
open access | 3 |
detailed information | 3 |
city movement | 3 |
future outbreaks | 3 |
hand washing | 3 |
add spline | 3 |
may vary | 3 |
social characteristics | 3 |
serial interval | 3 |
new challenge | 3 |
recall bias | 3 |
developing countries | 3 |
virus carriers | 3 |
emotion changes | 3 |
possibly time | 3 |
doctors per | 3 |
daily life | 3 |
species receptor | 3 |
changed significantly | 3 |
counterfactual simulations | 3 |
st century | 3 |
data trends | 3 |
healthcare system | 3 |
festival effects | 3 |
rate based | 3 |
pneumonia epidemic | 3 |
initially estimated | 3 |
continuous variables | 3 |
gene sequence | 3 |
counterfactual inflows | 3 |
emotional inflection | 3 |
reported cumulative | 3 |
administrative regions | 3 |
information system | 3 |
real situation | 3 |
become available | 3 |
wuhan hubei | 3 |
mobility change | 3 |
epidemiological investigation | 3 |
including unmarried | 3 |
research ethics | 3 |
lagging days | 3 |
rate using | 3 |
later imposed | 3 |
certain capital | 3 |
respiratory droplets | 3 |
regression analyses | 3 |
main model | 3 |
find evidence | 3 |
model based | 3 |
stool showed | 3 |
model exhibited | 3 |
medical workers | 3 |
different level | 3 |
measures imposed | 3 |
whose toh | 3 |
service data | 3 |
pneumonia caused | 3 |
early cases | 3 |
china without | 3 |
top destination | 3 |
many studies | 3 |
stock indices | 3 |
block input | 3 |
former prevalence | 3 |
also significantly | 3 |
based models | 3 |
aged years | 3 |
per household | 3 |
eighteen provinces | 3 |
positive result | 3 |
disease surveillance | 3 |
initially increase | 3 |
significantly positive | 3 |
springer nature | 3 |
urgent control | 3 |
data sets | 3 |
power exponent | 3 |
showed increased | 3 |
emergency response | 3 |
china estimating | 3 |
generation cases | 3 |
undocumented infections | 3 |
hospitals per | 3 |
outbreak area | 3 |
cases deaths | 3 |
personal health | 3 |
actual cases | 3 |
significantly decreased | 3 |
fujian provinces | 3 |
reduce human | 3 |
major outbreaks | 3 |
estimation strategies | 3 |
time point | 3 |
den driessche | 3 |
ground glass | 3 |
time data | 3 |
seir models | 3 |
health authorities | 3 |
within weeks | 3 |
event scale | 3 |
past days | 3 |
disease outside | 3 |
classical susceptible | 3 |
modified models | 3 |
lockdown measures | 3 |
potential competing | 3 |
cases narrows | 3 |
outbreaks caused | 3 |
significant positive | 3 |
based study | 3 |
weight matrix | 3 |
rapidly spread | 3 |
cn index | 3 |
east respiratory | 3 |
asymptomatic contact | 3 |
social science | 3 |
chinese people | 3 |
epidemiological research | 3 |
solid line | 3 |
health symptoms | 3 |
pulmonary consolidation | 3 |
meteorological factors | 3 |
th january | 3 |
doubling time | 3 |
regression analysis | 3 |
high covid | 3 |
vertical green | 3 |
simulation demonstrated | 3 |
one thing | 3 |
second category | 3 |
lower transmission | 3 |
returnee exposure | 3 |
infection function | 3 |
last year | 3 |
retrospective analysis | 3 |
press conference | 3 |
joint prevention | 3 |
social status | 3 |
hubei will | 3 |
traffic isolation | 3 |
annual human | 3 |
causing different | 3 |
limited number | 3 |
mean values | 3 |
see figures | 3 |
virus may | 3 |
fixed effect | 3 |
permission author | 3 |
spline smoothing | 3 |
first months | 3 |
consistent across | 3 |
two parts | 3 |
asymptomatic ratio | 3 |
china risk | 3 |
critical ones | 3 |
model parameters | 3 |
innate immune | 3 |
female cases | 3 |
time points | 3 |
prediction intervals | 3 |
also include | 3 |
two hours | 3 |
outbreak period | 3 |
large numbers | 3 |
different situations | 3 |
measures based | 3 |
infection total | 3 |
feeling depressed | 3 |
china national | 3 |
local health | 3 |
hubei area | 3 |
epidemic pattern | 3 |
disease outbreak | 3 |
cured patients | 3 |
outbreak data | 3 |
insomnia severity | 3 |
density function | 3 |
still poses | 3 |
distributed lag | 3 |
rate without | 3 |
driessche watmough | 3 |
microsoft corporation | 3 |
measures later | 3 |
climatic factors | 3 |
ijth entry | 3 |
severe mental | 3 |
low number | 3 |
right plot | 3 |
health departments | 3 |
first set | 3 |
strict control | 3 |
york times | 3 |
situation reports | 3 |
infect doi | 3 |
whole sample | 3 |
epidemic area | 3 |
confirmed infected | 3 |
risk populations | 3 |
zika virus | 3 |
institutional affiliations | 3 |
sars period | 3 |
lagged inflows | 3 |
longer toh | 3 |
future prevention | 3 |
sar mm | 3 |
date fixed | 3 |
estimated daily | 3 |
quick response | 3 |
ordinary least | 3 |
syncytial virus | 3 |
hubei might | 3 |
climate change | 3 |
least squares | 3 |
wide range | 3 |
provincial number | 3 |
income rate | 3 |
mobility restriction | 3 |
hubei returnee | 3 |
plot shows | 3 |
two parameters | 3 |
virus using | 3 |
first two | 3 |
following day | 3 |
sparse structure | 3 |
wuhan movements | 3 |
medical staff | 3 |
festival vacation | 3 |
largest impact | 3 |
eir model | 3 |
recovered patients | 3 |
among males | 3 |
fitting effect | 3 |
driven time | 3 |
ncov will | 3 |
positively correlated | 3 |
statistically significantly | 3 |
cities elsewhere | 3 |
nervous system | 3 |
ending time | 3 |
chinese authorities | 3 |
surrounding provinces | 3 |
evolution curve | 3 |
government portal | 3 |
global concern | 3 |
official media | 3 |
decreased significantly | 3 |
transportation industry | 3 |
spatially distributed | 3 |
dependent variables | 3 |
different incidences | 3 |
note springer | 3 |
health doi | 3 |
exponent function | 3 |
wuhan may | 3 |
expected return | 3 |
industry positively | 3 |
provide valuable | 3 |
logistic support | 3 |
trace data | 3 |
years ago | 3 |
folic acid | 3 |
chinese medical | 3 |
wuhan using | 3 |
positive correlations | 3 |
global pandemic | 3 |
individual information | 3 |
six children | 3 |
fewer new | 3 |
restricting population | 3 |
first reported | 3 |
retrospective study | 3 |
among cities | 3 |
flows among | 3 |
entertainment venues | 3 |
province causing | 3 |
index unit | 3 |
smoothing fit | 3 |
prefecture level | 3 |
assessed using | 3 |
generalized seir | 3 |
data sources | 3 |
active strategies | 3 |
commonly used | 3 |
epidemic model | 3 |
survey used | 3 |
significant fitting | 3 |
case data | 3 |
implement effective | 3 |
hospital beds | 3 |
fitting probability | 3 |
virus infections | 3 |
parameters estimated | 3 |
remained low | 3 |
diagnostic criteria | 3 |
parameter estimation | 3 |
local npis | 3 |
estimated transmission | 3 |
viral outbreak | 3 |
based model | 3 |
cases aged | 3 |
mean incubation | 3 |
least influenced | 3 |
economic conditions | 3 |
infected area | 3 |
narrows significantly | 3 |
rate will | 3 |
epidemic spreading | 3 |
prenatal diagnosis | 3 |
mediating factors | 3 |
significantly reduced | 3 |
stratified heterogeneity | 3 |
results indicated | 3 |
individual cases | 3 |
total national | 3 |
times higher | 3 |
within two | 3 |
first years | 3 |
scale population | 3 |
patients hospitalized | 3 |
median incubation | 3 |
patients without | 3 |
following formulation | 3 |
influence factors | 3 |
travel history | 3 |
spread nationwide | 3 |
patient population | 3 |
weak connection | 3 |
significantly influenced | 3 |
early admission | 3 |
epidemiological history | 3 |
cumulative deaths | 3 |
data prediction | 3 |
long short | 3 |
local infections | 3 |
panic disorder | 3 |
congenital heart | 3 |
male transmission | 3 |
influential self | 3 |
public awareness | 3 |
viral infections | 3 |
business travellers | 3 |
statistical methods | 3 |
transmissions identified | 3 |
quarantine measures | 3 |
home isolation | 3 |
epidemic models | 3 |
week fixed | 3 |
window analysis | 3 |
nasal discharge | 3 |
also observed | 3 |
five million | 3 |
infection source | 3 |
sample collection | 3 |
several confounding | 3 |
severity index | 3 |
cases gradually | 3 |
china according | 3 |
daily weather | 3 |
susceptible population | 3 |
will end | 3 |
herd immunity | 3 |
daily trend | 3 |
diagnostic methods | 3 |
without hubei | 3 |
distributed consistency | 3 |
mathematical modelling | 3 |
participants living | 3 |
will help | 3 |
february rd | 3 |
future deaths | 3 |
determinant power | 3 |
major public | 3 |
worth noting | 3 |
independent variable | 3 |
accumulated number | 3 |
reported imported | 3 |
cabin model | 3 |
accurate prediction | 3 |
morbidities among | 3 |
epidemic response | 3 |
defined according | 3 |
causal impact | 3 |
reported outside | 3 |
extremely high | 3 |
day level | 3 |
parameter identification | 3 |
take place | 3 |
infect dis | 3 |
administrative region | 3 |
analysis shows | 3 |
jurisdictional claims | 3 |
among female | 3 |
overall risk | 3 |
machine learning | 3 |
may play | 3 |
resuming production | 3 |
national data | 3 |
recent study | 3 |
time step | 3 |
outbreak showed | 3 |
ith diagonal | 3 |
severe respiratory | 3 |
towards eating | 3 |
outbreak source | 3 |
aerosol transmission | 3 |
china clinical | 3 |
longer time | 3 |
tighter controls | 3 |
dynamical modeling | 3 |
inclusion criteria | 3 |
lower among | 3 |
data indicated | 3 |
generalized anxiety | 3 |
sars survivors | 3 |
strong negative | 3 |
disease burden | 3 |
province using | 3 |
risk groups | 3 |
interpersonal contact | 3 |
major global | 3 |
hui title | 3 |
van den | 3 |
retrospective cohort | 3 |
per city | 3 |
human population | 3 |
information published | 3 |
wildlife species | 3 |
chinese lunar | 3 |
glass opacity | 3 |
study contributes | 3 |
infection control | 3 |
statistical significance | 3 |
three groups | 3 |
many cases | 3 |
run period | 3 |
varying spring | 3 |
guangdong provincial | 2 |
including reducing | 2 |
hcv replication | 2 |
also graphically | 2 |
still spreading | 2 |
calculation process | 2 |
higher educational | 2 |
genotype subtype | 2 |
sheer number | 2 |
proximity measures | 2 |
positive relationship | 2 |
based susceptible | 2 |
became negative | 2 |
patients receiving | 2 |
among injection | 2 |
also imposed | 2 |
wuhan leads | 2 |
equine pakistan | 2 |
time progresses | 2 |
medical centres | 2 |
sample distribution | 2 |
higher pearson | 2 |
numbers fr | 2 |
recombination patterns | 2 |
research samples | 2 |
following analyses | 2 |
especially farming | 2 |
government will | 2 |
previously described | 2 |
older people | 2 |
sequencing technology | 2 |
heavy alcohol | 2 |
reversible respiratory | 2 |
even pct | 2 |
travellers early | 2 |
case due | 2 |
acid using | 2 |
recent correspondence | 2 |
comparing influenza | 2 |
grampositive cocci | 2 |
laboratory results | 2 |
full sample | 2 |
selective pressure | 2 |
strains contain | 2 |
genetic characteristics | 2 |
group consists | 2 |
regional floating | 2 |
significance levels | 2 |
annual cycle | 2 |
analysis problems | 2 |
aiv infections | 2 |
rapid identification | 2 |
provide information | 2 |
council information | 2 |
heating system | 2 |
genus alphavirus | 2 |
working group | 2 |
three avian | 2 |
health history | 2 |
determining serum | 2 |
basecalled using | 2 |
constant kernel | 2 |
fever outbreak | 2 |
acid residues | 2 |
target cells | 2 |
parent clinical | 2 |
envelope proteins | 2 |
nhs commissioned | 2 |
age distribution | 2 |
spectral radius | 2 |
sequencer campylobacter | 2 |
ill patients | 2 |
laboratories worldwide | 2 |
contact number | 2 |
three provinces | 2 |
now considered | 2 |
may delay | 2 |
doubtful significance | 2 |
collinearity due | 2 |
perhaps possibly | 2 |
chikv fever | 2 |
routine vaccination | 2 |
national number | 2 |
epidemiologic characteristics | 2 |
directly managed | 2 |
rna virus | 2 |
affect disease | 2 |
time since | 2 |
vector autoregressive | 2 |
certain factors | 2 |
receiving sofosbuvir | 2 |
species ace | 2 |
protein structure | 2 |
cases due | 2 |
five discharged | 2 |
similar models | 2 |
sinicus bat | 2 |
social activities | 2 |
infections might | 2 |
systematic approach | 2 |
hubei acts | 2 |
sampling period | 2 |
centro hospitalar | 2 |
may help | 2 |
defects monitoring | 2 |
equine guangxi | 2 |
may partially | 2 |
species composition | 2 |
actual infected | 2 |
average contact | 2 |
team prior | 2 |
meteorological variables | 2 |
mutations result | 2 |
certain ones | 2 |
border control | 2 |
level using | 2 |
predict future | 2 |
tested csf | 2 |
research objects | 2 |
peak value | 2 |
cities throughout | 2 |
limited data | 2 |
important reason | 2 |
technology major | 2 |
important parameter | 2 |
two companion | 2 |
following information | 2 |
clock analyses | 2 |
rapid dissemination | 2 |
recover quicker | 2 |
parameters mentioned | 2 |
high temperature | 2 |
published review | 2 |
infection monitoring | 2 |
constant since | 2 |
similarity sequence | 2 |
samples collected | 2 |
two time | 2 |
icu intake | 2 |
province increased | 2 |
asfv strains | 2 |
surveillance panel | 2 |
new hospitals | 2 |
sars cases | 2 |
structure effect | 2 |
york city | 2 |
patients admitted | 2 |
stage regressions | 2 |
infected case | 2 |
pharmaceutical stock | 2 |
daily practice | 2 |
policies may | 2 |
viruses parallelization | 2 |
study population | 2 |
secondary cases | 2 |
days earlier | 2 |
alpha coefficients | 2 |
one person | 2 |
weight method | 2 |
cumulative percentages | 2 |
causes substantial | 2 |
personal hygiene | 2 |
genotype xxv | 2 |
pneumonia clinical | 2 |
birth rate | 2 |
sharp increase | 2 |
different results | 2 |
xxvi genotype | 2 |
spatiotemporal spread | 2 |
core cell | 2 |
laboratory tests | 2 |
sequences obtained | 2 |
aiv vaccines | 2 |
regressions specified | 2 |
macroeconomic decisions | 2 |
china preliminary | 2 |
also includes | 2 |
yet routine | 2 |
chikvpositive serum | 2 |
data showed | 2 |
will still | 2 |
subtype european | 2 |
study aiming | 2 |
xinzhou district | 2 |
median age | 2 |
information generated | 2 |
also point | 2 |
inside quarantine | 2 |
heart injury | 2 |
ace receptor | 2 |
important region | 2 |
receiving active | 2 |
critical care | 2 |
influenza across | 2 |
severe condition | 2 |
case changed | 2 |
elderly living | 2 |
nguyen truc | 2 |
including intracranial | 2 |
alpha coefficient | 2 |
hcv core | 2 |
species information | 2 |
patients starting | 2 |
sensitive method | 2 |
performing point | 2 |
medical ethics | 2 |
elevated protein | 2 |
just named | 2 |
included data | 2 |
somewhat surprising | 2 |
transmission ending | 2 |
polar side | 2 |
infection examined | 2 |
csr sars | 2 |
virus spreads | 2 |
euro surveillance | 2 |
hcv epidemics | 2 |
recently read | 2 |
acquired bacterial | 2 |
immune reconstitution | 2 |
periodic monitoring | 2 |
sequence obtained | 2 |
emotion information | 2 |
case cross | 2 |
cities near | 2 |
detailed results | 2 |
several aspects | 2 |
data set | 2 |
strong human | 2 |
daily mean | 2 |
isolated one | 2 |
sequencing results | 2 |
days compared | 2 |
ncov estimating | 2 |
dynamic seird | 2 |
pneumonia presenting | 2 |
without higher | 2 |
european lineage | 2 |
multiple routes | 2 |
common cold | 2 |
daily basis | 2 |
since genotype | 2 |
different periods | 2 |
months postvaccination | 2 |
might increase | 2 |
denied contact | 2 |
enhanced molecular | 2 |
meat production | 2 |
health organizations | 2 |
study represents | 2 |
virus interactions | 2 |
staff members | 2 |
affect public | 2 |
number fr | 2 |
like protein | 2 |
synchronized travel | 2 |
large populations | 2 |
define optimal | 2 |
survived using | 2 |
stored samples | 2 |
reserve talents | 2 |
epidemics behind | 2 |
additional region | 2 |
predicted death | 2 |
swiss banknotes | 2 |
three wild | 2 |
learning strategies | 2 |
beyond china | 2 |
altered alt | 2 |
patients displayed | 2 |
statistics methods | 2 |
four selected | 2 |
although specific | 2 |
authors also | 2 |
equine lung | 2 |
hospitalacquired influenza | 2 |
agriculture research | 2 |
translational potential | 2 |
time hump | 2 |
presentation alongside | 2 |
chinese tertiary | 2 |
epidemic size | 2 |
problematic cytb | 2 |
potential errors | 2 |
possibly two | 2 |
potential problematic | 2 |
rrna region | 2 |
length hbv | 2 |
greater among | 2 |
especially divergent | 2 |
reactivation among | 2 |
china contain | 2 |
hcv infection | 2 |
sardinia consensus | 2 |
different clinical | 2 |
oral hepatitis | 2 |
monitored every | 2 |
kim thanh | 2 |
sectional survey | 2 |
mean number | 2 |
tropical research | 2 |
different genotypes | 2 |
ecmo service | 2 |
overfitting problem | 2 |
core antibody | 2 |
still increasing | 2 |
modeling tools | 2 |
hubei occurred | 2 |
draining deoxygenated | 2 |
effective transmission | 2 |
adult age | 2 |
study highlights | 2 |
states comparative | 2 |
tianjin shanghai | 2 |
response team | 2 |
pathogens responsible | 2 |
asymptomatic transmission | 2 |
left panel | 2 |
diagnostic tests | 2 |
early period | 2 |
epidemic outbreaks | 2 |
infection whole | 2 |
software mega | 2 |
high infection | 2 |
dashed curve | 2 |
larger relative | 2 |
free interest | 2 |
acute liver | 2 |
evaluate depression | 2 |
studies showed | 2 |
policies implemented | 2 |
interventions taken | 2 |
research fund | 2 |
window moving | 2 |
educational science | 2 |
behavior changes | 2 |
still provided | 2 |
long pentraxin | 2 |
etiological agent | 2 |
dated back | 2 |
sanofi pasteur | 2 |
retrospectively performed | 2 |
urban household | 2 |
initially identified | 2 |
humidity levels | 2 |
diagnosis using | 2 |
transportation hub | 2 |
potential mechanisms | 2 |
simultaneous weak | 2 |
four levels | 2 |
may enlarge | 2 |
farmed dogs | 2 |
resistant staphylococcus | 2 |
resistance testing | 2 |
resident population | 2 |
implemented closed | 2 |
mutual inverse | 2 |
hubei chose | 2 |
high doses | 2 |
newly confirm | 2 |
vs weeks | 2 |
cells ul | 2 |
effectively contained | 2 |
already left | 2 |
found reliable | 2 |
serum alanine | 2 |
infectious ability | 2 |
shanxi province | 2 |
streptococcal infections | 2 |
collected available | 2 |
confirm cases | 2 |
tertiary pediatric | 2 |
well understood | 2 |
sars country | 2 |
five industries | 2 |
fewer individuals | 2 |
subtype american | 2 |
recent european | 2 |
specific adaptive | 2 |
lower binding | 2 |
positive undergoing | 2 |
unless indicated | 2 |
syndrome caused | 2 |
distinct seasonality | 2 |
virus seemed | 2 |
season waning | 2 |
information office | 2 |
run showed | 2 |
cumulative data | 2 |
select weather | 2 |
cases confirmed | 2 |
performing hbv | 2 |
estimation method | 2 |
response epidemiology | 2 |
actual increase | 2 |
sar ff | 2 |
genotype exhibits | 2 |
fever symptoms | 2 |
xi may | 2 |
daily official | 2 |
wkviuelsogvymux efltn | 2 |
obtained using | 2 |
result also | 2 |
white british | 2 |
white cells | 2 |
ethical authority | 2 |
day diagnosis | 2 |
stringent suppression | 2 |
modeling using | 2 |
hubei provincial | 2 |
animal models | 2 |
recovered clinically | 2 |
certain significant | 2 |