1 |
models |
COVID-19 |
contact |
SARS |
vaccination |
equilibrium |
model |
networks |
spatial |
genetic |
growth |
strains |
season |
ebola |
bat |
2 |
disease |
cases |
size |
number |
strategies |
formula |
stochastic |
network |
mobility |
viral |
exponential |
strain |
detection |
EVD |
farms |
3 |
infectious |
china |
individuals |
interval |
control |
endemic |
markov |
nodes |
cities |
inference |
growth rate |
avian |
seasonal |
% |
culling |
4 |
data |
2020 |
transmission |
estimates |
optimal |
stability |
carlo |
spreading |
spread |
trees |
CI |
humans |
ARIMA |
cholera |
bats |
5 |
dynamics |
countries |
population |
reproduction |
social |
0 |
monte |
immunization |
travel |
sequences |
exponential growth |
pathogen |
weekly |
west africa |
livestock |
6 |
infectious diseases |
number |
tracing |
syndrome |
vaccine |
numerical |
equations |
epidemic |
locations |
sequence |
95 |
reservoir |
ILI |
liberia |
social groups |
7 |
epidemiological |
march |
contacts |
estimate |
reduce |
system |
models |
degree |
geographical |
image |
phase |
host |
forecasts |
sierra |
wikipedia |
8 |
diseases |
coronavirus |
individual |
respiratory |
intervention |
text |
parameters |
structure |
patterns |
rabies |
law |
human |
historical data |
sierra leone |
2001 |
9 |
mathematical |
peak |
heterogeneity |
generation |
mitigation |
bifurcation |
method |
information |
movement |
sampling |
r(t |
zoonotic |
hospital |
leone |
disruption |
10 |
infectious disease |
R0 |
infection |
reproductive |
social distancing |
numerical simulations |
simulation |
node |
airborne |
genome |
LF |
mutation |
EWS |
median |
risk |
11 |
understanding |
italy |
large |
method |
impact |
stable |
removed |
propagation |
urban |
molecular |
plant |
virus |
moving |
prediction interval |
swine |
12 |
health |
confirmed |
infectious |
reproductive number |
effective |
disease-free |
deterministic |
layer |
transportation |
phylogenetic |
pigs |
mutant |
metrics |
projections |
FOI |
13 |
mathematical models |
model |
mixing |
serial |
distancing |
disease |
series |
social networks |
city |
evolutionary |
curves |
species |
forecast |
projected |
associations |
14 |
modelling |
daily |
rates |
acute |
cost |
asymptotically |
problem |
centrality |
mobile |
samples |
epidemic curves |
infection |
beds |
VL |
badger |
15 |
modeling |
deaths |
number |
severe |
effectiveness |
< |
differential |
percolation |
migration |
genetic data |
turning |
virulence |
specificity |
ebola virus disease |
sick |
16 |
public |
epidemic |
final |
R(0 |
mass |
1 |
based |
topology |
air |
data |
ro |
invasion |
historical |
outbreak |
pedv |
17 |
approaches |
day |
infected |
MERS |
decision |
globally |
SIR |
connected |
census |
transmission |
epidemic growth |
bird |
IHME |
coverage |
indirect |
18 |
emerging |
january |
contact tracing |
acute respiratory syndrome |
pandemic |
> |
paper |
scale-free |
transport |
reconstruction |
points |
virulent |
zika |
2014 |
btb |
19 |
approach |
days |
susceptible |
hong |
policy |
conditions |
probability |
small-world |
distance |
monkeypox |
$ |
birds |
surveillance |
case counts |
industry |
20 |
systems |
reported |
epidemic |
estimated |
effects |
delay |
process |
community structure |
resolution |
divergence |
power |
poultry |
filter |
rt |
SC |
21 |
framework |
data |
variation |
kong |
interventions |
media |
parameter |
neighbors |
ventilation |
shedding |
rainfall |
pathogens |
alarm |
forecasts |
narratives |
22 |
epidemic |
2019 |
duration |
intervals |
healthcare |
quarantine |
time-varying |
links |
spatio-temporal |
bayesian |
shape |
populations |
ED |
democratic |
ecology |
23 |
outbreaks |
covid-19 |
show |
estimating |
measures |
model |
entropy |
multiplex |
airports |
viruses |
BTV |
hais |
aedes-transmitted |
sub-epidemic |
U.S. |
24 |
epidemiology |
hubei |
populations |
hong kong |
strategy |
time delay |
distribution |
individuals |
commuting |
within-host |
growth models |
HPAI |
visits |
EBOV |
groups |
25 |
recent |
country |
proportion |
time |
herd |
disease-free equilibrium |
environment |
layers |
phone |
tree |
linear |
parasites |
accuracy |
democratic republic |
seeking |
26 |
future |
april |
homogeneous |
case |
isolation |
equilibria |
probabilistic |
community |
spatial spread |
integration |
% |
mutant strain |
reporting |
95 |
neighbouring |
27 |
key |
february |
level |
serial interval |
people |
periodic |
set |
social |
traffic |
sample |
exponential phase |
spillover |
emergency |
congo |
public health agencies |
28 |
increasingly |
sars-cov-2 |
small |
cases |
consequences |
unity |
error |
connections |
metapopulation |
genomic |
gompertz |
emergence |
real-time |
credible |
abundance |
29 |
develop |
wuhan |
low |
transmissibility |
policies |
asymptotic |
function |
find |
population |
phylodynamic |
batch |
persistence |
department |
ebola outbreaks |
PEDV |
30 |
review |
measures |
stages |
ratio |
vaccines |
endemic equilibrium |
standard |
awareness |
geo-social |
RNA |
andalusia |
infections |
hospital beds |
phenomenological |
averse |
31 |
methods |
based |
outbreak |
basic |
model |
existence |
simulated |
diffusion |
geographical locations |
ABC |
BTV-1 |
pathogen strains |
MSS |
ebola outbreak |
fruit |
32 |
transmission |
predict |
epidemic size |
mers-cov |
costs |
susceptible |
system |
virtual |
mobile phone |
statistical |
rate |
facility |
flocks |
PKDL |
species |
33 |
provide |
total |
infections |
case fatality |
ring |
lyapunov |
transition |
network structure |
influenza |
inferring |
profiles |
A(H7N9 |
2016 |
short-term |
movements |
34 |
assess |
2019-ncov |
sizes |
distribution |
ring vaccination |
α |
SEIR |
communities |
supplementary |
phylogeny |
farr |
perpetuation |
series |
counts |
animal |
35 |
tool |
end |
smallpox |
outbreak |
rates |
reproduction |
fluctuations |
social contact |
england |
genomes |
growth rates |
avian influenza |
incidence |
africa |
link |
36 |
quantitative |
infected |
vector |
2003 |
vaccinated |
basic |
ordinary |
complex |
density |
NS5A |
nigerian |
VE(S |
forecasting |
ebola virus |
ORC |
37 |
epidemiological models |
india |
diseases |
fatality |
mitigate |
threshold |
dynamic |
strategy |
study |
variation |
modelers |
thresholds |
poor |
ncovid-19 |
foraging |
38 |
sources |
% |
assume |
estimation |
NPI |
* |
time |
disease spreading |
pattern |
text |
sub-exponential |
sars‐cov |
influenza-like |
case count |
hog |
39 |
spread |
spain |
dengue |
east |
resource |
simulations |
compute |
topological |
spatial models |
phylodynamics |
exported |
C. |
influenza-like illness |
reported |
visiting |
40 |
epidemics |
lockdown |
HIV |
singapore |
mass media |
analysis |
optimization |
virtual layer |
AIDS |
genetic diversity |
3 |
trials |
RSV |
short- |
PED |
41 |
important |
rate |
probabilities |
generation interval |
spread |
deterministic model |
financial |
threshold |
airline |
wastewater |
quantify |
devil |
autoregressive |
indian |
badgers |
42 |
management |
outbreak |
classes |
CFR |
society |
holling |
proposed |
lattice |
wales |
site-specific |
initial |
interference |
journal |
best-fit |
great britain |
43 |
human |
covid-19 pandemic |
disease |
methods |
non-pharmaceutical interventions |
impulsive |
approach |
closeness |
online version |
descriptions |
plants |
clonal |
performance |
regression model |
britain |
44 |
highlight |
time |
dynamics |
outbreaks |
health |
fractional |
find |
results |
ward |
dogs |
foci |
reservoirs |
peak |
rotavirus |
surviving |
45 |
threat |
90 |
epidemics |
south africa |
antiviral |
prey |
equivalent |
contact |
passengers |
chain size |
2.24 |
resistance |
RESULTS |
refugee |
roosts |
46 |
model |
pandemic |
control |
symptom |
quarantining |
rate |
capable |
citation |
MATERIAL |
coalescent |
von |
hosts |
PE |
cases |
porcine |
47 |
agent-based |
iran |
initially |
data |
workforce |
chaotic |
stochastic models |
synchronization |
domestic |
environmental drivers |
weibull |
viral |
SARIMA |
vigilance |
zika-related |
48 |
fundamental |
covid-19 outbreak |
observable |
rate |
suppression |
predator |
stochasticity |
information diffusion |
indoor |
kits |
nigerian regions |
depend |
near-term |
oral |
poe |
49 |
address |
coronavirus disease 2019 |
rate |
toronto |
based |
bifurcations |
reaction |
composed |
ELECTRONIC |
phylogenetic trees |
ZIKV |
influenza |
ARI |
camp |
sickness |
50 |
valuable |
germany |
faster |
middle east respiratory syndrome |
switching |
hopf |
cell |
disease propagation |
global |
sequencing |
root |
resistant |
influenza |
DRC |
biosecurity |