quadgram

This is a table of type quadgram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

quadgram	frequency
porcine epidemic diarrhea virus	90
on the other hand	67
of porcine epidemic diarrhea	55
severe acute respiratory syndrome	54
porcine epidemic diarrhoea virus	49
the total number of	46
in the case of	46
of the epidemic in	39
the beginning of the	38
the course of the	37
in the united states	36
as well as the	32
the end of the	32
in the context of	31
can be used to	30
j o u r	29
r n a l	29
l p r e	29
o u r n	29
r o o f	29
a l p r	29
u r n a	29
n a l p	29
at the same time	29
p r o o	29
the number of infected	28
course of the epidemic	27
on the basis of	27
the evolution of the	27
the epidemic spread rate	26
in the source region	25
of the epidemic and	25
the role of e	24
at the end of	24
with the increase of	23
the impact of the	23
on the one hand	23
of porcine epidemic diarrhoea	23
to adopt epidemic prevention	23
the spread of the	22
license to display the	21
has granted medrxiv a	21
display the preprint in	21
a license to display	21
medrxiv a license to	21
on the spread of	21
of the number of	21
copyright holder for this	21
in the absence of	21
as a function of	21
to display the preprint	21
granted medrxiv a license	21
who has granted medrxiv	21
the copyright holder for	21
an important role in	20
epidemic diarrhea virus in	19
as a result of	19
at the beginning of	19
regions of the world	19
is the number of	19
disease control and prevention	18
is the author funder	18
spreading and information diffusion	18
as shown in fig	18
penetration intensity of knowledge	18
the dynamics of the	18
to the number of	18
of knowledge into rumor	18
for the first time	18
the epidemic and the	17
acute respiratory syndrome coronavirus	17
the start of the	17
and online social presence	17
attitude toward epidemic outbreak	17
the size of the	17
the duration of the	17
on the decay ratio	16
we assume that the	16
beginning of the epidemic	16
the spread of epidemic	16
the distribution of the	16
the early stages of	16
we find that the	16
evolution of the epidemic	16
intention to adopt epidemic	16
the basic reproduction number	16
on online social presence	16
for disease control and	16
the average number of	15
in the number of	15
the number of cases	15
in response to the	15
not certified by peer	15
with respect to the	15
one of the most	15
a large number of	15
certified by peer review	15
was not certified by	15
which was not certified	15
bound on the decay	15
complete genome sequence of	15
it is assumed that	14
the world health organization	14
number of infected people	14
the spread of infectious	14
guidelines on epidemic prevention	14
the impact of covid	14
of epidemic outbreaks on	14
epidemic spreading and information	14
the value of the	14
the number of people	14
the case of the	13
and the number of	13
spread of infectious diseases	13
influence of official policies	13
impacts of epidemic outbreaks	13
epidemic outbreaks on the	13
that is to say	13
in the incubation period	13
the ratio of the	13
at the time of	13
this this version posted	13
the role of the	13
the cumulative number of	13
the peak of the	13
intensity of knowledge into	13
take into account the	12
it is possible to	12
holder for this preprint	12
early stages of the	12
on the sc performance	12
play an important role	12
at each time step	12
it is important to	12
of the epidemic spread	12
per cent of the	12
phase of the epidemic	12
the epidemic in the	12
least squares structural equation	12
partial least squares structural	12
in the course of	12
end of the epidemic	12
of severe acute respiratory	12
the preprint in perpetuity	12
population inflow from wuhan	12
in the presence of	12
the probability that a	12
the early phase of	12
proportion of the population	12
the diffusion of knowledge	12
the number of contacts	11
made available under a	11
the first time in	11
total number of infected	11
squares structural equation modeling	11
is made available under	11
the severe acute respiratory	11
the fraction of infected	11
license it is made	11
it is made available	11
the effects of the	11
the presence of a	11
in the s gene	11
for the number of	11
should be noted that	11
of the epidemic threshold	11
development of the epidemic	11
pf i pf j	11
it should be noted	11
stages of the epidemic	11
international license it is	11
the penetration intensity of	11
with recurrent mobility pattern	10
the density of the	10
the influence of the	10
the first digit distribution	10
in terms of the	10
it is necessary to	10
duration of the epidemic	10
are more likely to	10
for a long time	10
the tendency of the	10
dynamics of epidemic spreading	10
the emergence of a	10
of the infected population	10
genome sequence of a	10
influence of the epidemic	10
tendency of the epidemic	10
in the same way	10
is shown in fig	10
the authors declare that	10
it is difficult to	10
the parameters of the	10
the effect of the	10
can be seen from	9
in the form of	9
online social presence during	9
it is clear that	9
the increase of the	9
between epidemic spreading and	9
the fact that the	9
and the impact of	9
the moving epidemic method	9
can be divided into	9
the spatial and temporal	9
as can be seen	9
influence on the epidemic	9
this version posted june	9
holder for this this	9
the results of the	9
the three social epidemics	9
the time of the	9
prevention and control of	9
people in the incubation	9
for this this version	9
on the dynamics of	9
investigate the impact of	9
intentionally directing attacks against	9
on the number of	9
of the epidemic is	9
the number of individuals	9
different regions of the	9
the mathematical theory of	9
in addition to the	9
cent of the population	9
the timing of the	9
of the influenza season	9
the initial number of	9
middle east respiratory syndrome	9
epidemic spreading in scale	9
on the epidemic spread	9
this preprint this version	9
org journal rspb proc	9
a second wave of	9
networks with community structure	9
the epidemic threshold is	9
on epidemic spreading in	9
a wide range of	9
peak of the epidemic	9
epidemic diarrhoea virus in	9
upper bound on the	9
for this preprint this	9
preprint this version posted	9
reduce the number of	9
toward an epidemic outbreak	9
the rest of the	9
in the face of	9
of the sir model	9
for each of the	9
the critical infection probability	9
center for disease control	9
is based on the	9
the transmission of the	8
local spatial correlation characteristics	8
that there is no	8
available under a is	8
number of infected cases	8
the basis of the	8
the expected number of	8
has positive impact on	8
areas were located in	8
the democratic republic of	8
of the epidemic peak	8
infection threat has positive	8
number of the superspreaders	8
of the th century	8
of the role of	8
the economic impact of	8
influenza a h n	8
of the virus and	8
ebola virus disease in	8
the population of the	8
networked population with recurrent	8
of the total population	8
under a is the	8
epidemic processes in complex	8
outbreaks on the scs	8
impact of the epidemic	8
n m n m	8
international spread of the	8
is more likely to	8
to the development of	8
the values of the	8
the transmission dynamics of	8
to eradicate the epidemic	8
of an epidemic outbreak	8
than the first one	8
we focus on the	8
of the twentieth century	8
on the epidemic threshold	8
taking into account the	8
a is the author	8
to take into account	8
processes in complex networks	8
can be found in	8
information diffusion and epidemic	8
the suspended reality phase	8
number of contagious people	8
the nature of the	8
authors declare that they	8
of an infectious disease	8
of health of morocco	8
the usage probability of	8
epidemic spread rate was	8
the impact of awareness	8
of the spread of	8
and its impact on	8
the presence of the	8
store infection threat has	8
and the use of	8
the influence of official	8
the effect of control	8
the history of the	8
dynamics and control of	8
population with recurrent mobility	8
and medical facilities conditions	8
that the number of	8
diffusion and epidemic spreading	8
the development of the	8
the final size of	8
a function of the	8
on the impact of	8
the absence of any	8
threat has positive impact	8
proportional to the number	8
ministry of health of	8
the onset of symptoms	8
the final epidemic size	7
in the next section	7
of people in the	7
more likely to be	7
the height of the	7
predict the tendency of	7
the number of susceptible	7
as compared to the	7
epidemic diarrhea virus strains	7
the cb and ib	7
cb and ib models	7
the impact of a	7
increase in the number	7
basic reproduction number of	7
the use of the	7
the diffusion of information	7
represents the number of	7
beginning of the influenza	7
can be applied to	7
direct and indirect effects	7
it is found that	7
hubei and china except	7
of control strategies to	7
and forecasting the potential	7
social mixing on outcomes	7
infected at time t	7
spread of the virus	7
potential domestic and international	7
of the epidemic curve	7
the probability of a	7
the time of writing	7
in the real world	7
in the history of	7
mathematical theory of epidemics	7
declare that they have	7
to control the epidemic	7
pigs of all ages	7
different from that of	7
that they have no	7
transmission dynamics and control	7
course of the covid	7
strategies to reduce social	7
patients among all outpatients	7
and the united states	7
makes it possible to	7
ili patients among all	7
of the effect of	7
mitigate the impact of	7
awareness on epidemic spreading	7
mixing on outcomes of	7
of the infection probability	7
pensaert and de bouck	7
the epidemic outbreak threshold	7
of the novel coronavirus	7
and international spread of	7
when the number of	7
is one of the	7
the ministry of health	7
number of infected neighbors	7
the basic reproductive number	7
in the forest region	7
epidemic diarrhea virus strain	7
public vigilance to the	7
the structure of the	7
of the epidemic outbreak	7
is defined as the	7
the possibility of a	7
is consistent with the	7
epidemic disease on networks	7
of the whole country	7
response to an epidemic	7
the impacts of epidemic	7
nowcasting and forecasting the	7
and china except hubei	7
this version posted august	7
on outcomes of the	7
for the detection of	7
of awareness on epidemic	7
outcomes of the covid	7
impact of awareness on	7
the effect of a	7
reduce social mixing on	7
as well as a	7
to reduce social mixing	7
transportation research part e	7
it can be seen	7
of the nineteenth century	7
epidemic in west africa	7
effect of control strategies	7
in the two regions	7
attitudes toward an epidemic	7
total number of cases	7
the extent to which	7
to be the most	7
the herd immunity threshold	7
the upper bound on	7
the primary care system	7
animals as epidemic villains	7
strain of porcine epidemic	7
we hypothesized the following	7
in the supply chain	7
plays an important role	7
in this paper we	7
outbreak originating in wuhan	7
spread of epidemic disease	7
number of people in	7
detection of porcine epidemic	7
and the role of	7
the ebola virus disease	7
of the total number	7
control strategies to reduce	7
at the start of	7
the epidemic threshold for	7
ncov outbreak originating in	7
of epidemic disease on	7
and attitude toward epidemic	7
spread of the epidemic	7
the spread of covid	7
that there is a	7
forecasting the potential domestic	7
of the ebola virus	7
the potential domestic and	7
in the early phase	7
domestic and international spread	7
the characteristics of the	7
centers for disease control	7
this figure has been	6
in the suspended reality	6
raise the epidemic threshold	6
the spatial distribution of	6
the s and s	6
porcine epidemic diarrhea in	6
are shown in table	6
epidemic diarrhea virus infection	6
initial number of contagious	6
as long as the	6
the epidemic is over	6
a large set of	6
denotes the state that	6
trend between the past	6
of the epidemic on	6
the context of the	6
of the epidemic period	6
known disease carrier species	6
of partial least squares	6
delay from to days	6
endemic equilibrium number of	6
the existence of a	6
the time since infection	6
in the early s	6
from the perspective of	6
number of users u	6
online social presence is	6
we would like to	6
impact on the sc	6
mathematics of infectious diseases	6
the transmission rate of	6
in networked population with	6
as shown in the	6
process of the infected	6
and control of covid	6
chinese center for disease	6
awareness of the disease	6
have shown that the	6
the spread of disease	6
with a large number	6
the prevention and control	6
a case study of	6
population in different stages	6
transformation process of the	6
preprint the copyright holder	6
the infected population in	6
of infectious diseases and	6
disease and disease information	6
penetration of knowledge into	6
of infectious disease outbreaks	6
parameters of the model	6
does not affect the	6
is shown in figure	6
on porcine epidemic diarrhoea	6
their online social presence	6
the early stage of	6
of the basic reproduction	6
the effectiveness of the	6
the infection rate of	6
of the duration of	6
the past days of	6
epidemic preparedness and response	6
allowed to vary by	6
for an epidemic to	6
between the past days	6
theory of planned behavior	6
is organized as follows	6
does not depend on	6
with the number of	6
on the scs and	6
the adivasis of the	6
to vary by epidemic	6
as well as to	6
the mathematics of infectious	6
the quarantine factor q	6
spreading in multiplex networks	6
this is the first	6
for the spread of	6
the absolute value of	6
use of social media	6
dynamics of the epidemic	6
the case of covid	6
may or may not	6
figure has been adapted	6
a result of the	6
the dynamics of epidemic	6
spread of pandemic influenza	6
history of the epidemic	6
early transmission dynamics in	6
at the heart of	6
of epidemic spreading and	6
the probability that an	6
publicly reported confirmed cases	6
of the fraction of	6
term impacts of epidemic	6
the united states in	6
of emerging infectious diseases	6
the spectral radius of	6
networks epidemic spreading in	6
of the disease is	6
online social presence in	6
dynamics of the covid	6
the number of days	6
of the virus in	6
weeks into the epidemic	6
presence of a large	6
the properties of the	6
this version posted september	6
probability of product functions	6
the ib and cb	6
the spread of a	6
is found to be	6
the analysis of the	6
epidemic spreading in multiplex	6
second half of the	6
changes in response to	6
early presentation of cases	6
epidemic spreading in networks	6
during an epidemic outbreak	6
the diamond princess cruise	6
infected population in different	6
the h n pandemic	6
the second half of	6
the state that people	6
cluster areas were located	6
isolation of porcine epidemic	6
epidemiology and public health	6
is considered to be	6
first digit distribution of	6
or bilateral pitting edema	6
in the th century	6
as shown in figure	6
this was the case	6
of respiratory syncytial virus	6
the state of the	6
model to describe the	6
from where this figure	6
different values of the	6
to reduce the number	6
final size of the	6
of social distancing measures	6
then the strain is	6
median delay from to	6
to predict the tendency	6
diamond princess cruise ship	6
the population inflow from	6
vary by epidemic year	6
attitude towards epidemic prevention	6
have been shown to	6
china complete genome sequence	6
a function of time	6
in the small intestine	6
in order to better	6
made it possible to	6
where this figure has	6
the endemic equilibrium number	6
of a second wave	6
will lead to a	6
the case of a	6
found to be the	6
in the process of	6
size of the epidemic	6
mediates the association between	6
is related to the	6
the diffusion of the	6
from january to february	6
that the spread of	6
dynamics on complex networks	6
in most of the	6
transmission dynamics in wuhan	6
on the analysis of	6
between information diffusion and	5
a new wave of	5
the proportion of those	5
the whole period of	5
the creative commons attribution	5
strategies for pandemic influenza	5
dynamics on an adaptive	5
reduce the impact of	5
the probability that the	5
in the study of	5
included in the analysis	5
hand washing with soap	5
in contrast to the	5
the penetration of knowledge	5
can be seen that	5
mortality and healthcare demand	5
characteristics of the epidemic	5
the public vigilance to	5
has been suggested that	5
the way in which	5
the local spatial correlation	5
course of an epidemic	5
in the democratic republic	5
to mitigate the impact	5
number of new infections	5
we can see that	5
the vaf value was	5
the appearance of a	5
of each of the	5
of the entire population	5
is found that the	5
epidemic protection and attitude	5
days disruption in china	5
novel coronavirus from patients	5
characterization of porcine epidemic	5
is infected at time	5
the speed of epidemic	5
to the ebola response	5
of epidemic in the	5
an increase of the	5
porcine epidemic diarrhoea in	5
anylogistix simulation and optimization	5
in the acceptance phase	5
we have shown that	5
of the epidemic after	5
in and out of	5
the bound on the	5
as the number of	5
the initial stage of	5
of human behaviour on	5
before and after the	5
an extension of the	5
the results of a	5
in the united kingdom	5
the number of recovered	5
spread of the disease	5
the influence of human	5
of the emergence of	5
the population in the	5
in the early stage	5
human and animal health	5
in hubei and china	5
spatial correlation characteristics of	5
in response to an	5
based on the analysis	5
for different values of	5
our results indicate that	5
which is consistent with	5
the west african ebola	5
for a period of	5
feasibility to adopt epidemic	5
the effective reproduction number	5
height of the epidemic	5
at time t and	5
v i is susceptible	5
in the appendix a	5
v j is infected	5
influenza in the united	5
one or the other	5
and duration of the	5
total population of n	5
interplay between awareness and	5
the epidemic peak and	5
the number of infections	5
set of differential equations	5
the small intestine of	5
the risk of infection	5
important role in the	5
was observed in the	5
people aged or above	5
human behaviour on the	5
the virus in the	5
of the population and	5
affecting the epidemic spread	5
around the world have	5
the risk of transmission	5
found that the epidemic	5
size and peak prevalence	5
the mediation effect of	5
after the peak of	5
the impact of social	5
to the appearance of	5
with pneumonia in china	5
the incubation period of	5
epidemic prevention is found	5
used to assess the	5
perceived feasibility to adopt	5
transmission and control of	5
from patients with pneumonia	5
the results show that	5
on an adaptive network	5
the ebola outbreak in	5
infection rate of confined	5
of ili patients among	5
are shown in fig	5
annual report of the	5
the behavior of the	5
to the size of	5
the forest region of	5
duration upstream the sc	5
paper is organized as	5
exposed to the virus	5
may be used to	5
the number of confirmed	5
in the wake of	5
influence of human behaviour	5
of the second wave	5
the third plague pandemic	5
is a function of	5
early in the epidemic	5
reducing the number of	5
epidemic dynamics on an	5
the epidemic spreading process	5
have been used to	5
the number of deaths	5
by the end of	5
epidemic weekly ili values	5
on the epidemic spreading	5
in the epidemic setting	5
epilepsy during an epidemic	5
in a population with	5
of an influenza pandemic	5
lower than the first	5
usage probability of product	5
read and approved the	5
is not possible to	5
that the epidemic has	5
of the church of	5
impact of population structure	5
not taken into account	5
for the sake of	5
the gene source of	5
of the epidemic was	5
patients with pneumonia in	5
of the next pandemic	5
the church of the	5
of the infected individuals	5
govt and online social	5
and control of the	5
from the chinese center	5
the behaviour of the	5
infectivity of asymptomatic cases	5
of the virus is	5
and the epidemic spread	5
very close to the	5
that the epidemic is	5
the majority of the	5
of the population is	5
with a total population	5
and show that the	5
be seen that the	5
be seen from the	5
the time evolution of	5
initial stage of the	5
the chinese center for	5
the peak in the	5
only a few months	5
days after onset of	5
rate of confined people	5
the trend of the	5
for the control of	5
the seriousness of the	5
the detection of porcine	5
to the mathematical theory	5
the median delay from	5
the relative importance of	5
of the geneva conventions	5
fraction of the population	5
number of confirmed covid	5
on the course of	5
the theory of planned	5
republic of the congo	5
epidemic experience did not	5
part of the population	5
to be able to	5
during the quarantine period	5
members of the group	5
the number of new	5
be noted that the	5
may be due to	5
for the most part	5
exploratory spatial data analysis	5
of the s protein	5
modelling the influence of	5
the outbreak threshold of	5
node with degree k	5
two types of spreading	5
the spread of awareness	5
between the two regions	5
early phase of the	5
it has been suggested	5
would like to thank	5
in the era of	5
of the main text	5
the interplay between the	5
and phylogenetic analysis of	5
control measures on the	5
the disease information diffusion	5
the time constant of	5
that an infected traveler	5
among all outpatient consultations	5
the impact of information	5
disease prevention and control	5
coronavirus from patients with	5
of diarrhoea caused by	5
in the areas of	5
is proportional to the	5
mitigation strategies for pandemic	5
start of the epidemic	5
do not take into	5
of the state vector	5
the magnitude and intensity	5
of a and b	5
a systematic review of	5
the inset of fig	5
there has been a	5
magnitude and intensity of	5
democratic republic of the	5
is very close to	5
this is not the	5
values of the parameters	5
a total population of	5
of the severity of	5
is assumed that the	5
not depend on the	5
the point at which	5
pf i and pf	5
data from south korea	5
is not necessary to	5
pattern of the epidemic	5
a small number of	5
the fraction of users	5
of the infected density	5
the attitude of the	5
online social presence and	5
the epidemic spreading in	5
it is not possible	5
a novel coronavirus from	5
number of infected individuals	5
i and pf j	5
it is no longer	5
results are shown in	5
the value of r	5
in only a few	5
transmission dynamics of sars	5
not take into account	5
the scope of this	5
between the role of	5
it was found that	5
during the outbreak of	5
time constant of the	5
the epidemic in this	5
no conflict of interest	5
confidence interval of the	5
disruption duration upstream the	5
the infectivity of epidemic	5
on the effect of	5
second wave of epidemic	5
church of the brethren	5
average number of secondary	5
during an epidemic is	5
word of mouth and	5
that the epidemic threshold	5
spreading in complex networks	5
prevention is found to	5
the age of the	5
in the second half	5
increases the median delay	5
the health of the	5
possibility of a second	5
in the long run	5
the impact of an	5
it is worth noting	5
control of the epidemic	5
in the refusal phase	5
growth of the epidemic	5
it is not necessary	5
across different regions of	5
sections of the text	5
upper limit of the	5
we were able to	5
diarrhea virus in south	5
of the brethren mission	5
the epidemic in china	5
on the ith day	5
epidemic in the contact	5
behaviour on the spread	5
mean of the highest	5
but also on the	5
to the general public	5
over the course of	5
that the degree of	5
it is possible that	5
of the population of	5
with a focus on	5
capital asset pricing model	5
the whole time period	5
of the infected nodes	5
protection and attitude toward	5
a member of the	5
wave of the epidemic	5
in this case the	5
can be explained by	5
the impact of epidemic	5
the derivation of the	5
of the epidemic are	5
of the disease and	5
free networks with community	5
the introduction of the	5
the length of the	4
the form of the	4
potential inaccuracy in the	4
is extremely difficult to	4
of study findings to	4
have been found to	4
aware of the disease	4
the summed average of	4
any purpose without crediting	4
birth and death on	4
barriers to epidemic control	4
and information diffusion on	4
a high number of	4
of scaling in random	4
density of the infected	4
the global spatial correlation	4
initiated in the at	4
to a maximum of	4
at high risk of	4
at the early stage	4
consequences of the bushmeat	4
a variant of the	4
spreading of infectious diseases	4
to better understand the	4
the nationals of the	4
after the onset of	4
the exponential growth of	4
for mitigating an influenza	4
ebola virus disease epidemic	4
transmission in the area	4
of the hostile party	4
sustains in the population	4
in the last decade	4
in the early stages	4
global spatial correlation characteristics	4
the difference between the	4
detailed in the appendix	4
a modified behavioral framework	4
the severity of the	4
is smaller than the	4
have been used in	4
and severity of covid	4
fraction of users who	4
strains in the united	4
on the existence of	4
as the gene source	4
example of coronavirus covid	4
is given by the	4
war against the invisible	4
on the pairwise approach	4
of the population in	4
the epidemic sustains in	4
without crediting the original	4
to the susceptible state	4
the situation of the	4
task force to address	4
increase the risk of	4
gene of porcine epidemic	4
the magnitude and strength	4
can be described as	4
to curb the epidemic	4
epidemic size and peak	4
borne child dying before	4
the day when the	4
inclusivity and the rogue	4
spatial and temporal differentiation	4
infection facilitates the rapid	4
are more or less	4
calculated probability of a	4
of a disease in	4
wom and the role	4
and the rogue bats	4
unintended consequences of the	4
at the next moment	4
cine epidemic diarrhea virus	4
for pandemic influenza in	4
the growth rate of	4
the number of contagious	4
and early detection of	4
a noticeable increase in	4
posted at least one	4
is important to understand	4
than that of the	4
for disease prevention and	4
of the size of	4
the effect of this	4
by porcine epidemic diarrhoea	4
if this is not	4
between the population distribution	4
an epidemic outbreak in	4
individual interview conducted with	4
the epidemic broke out	4
and known disease carrier	4
analyze the impact of	4
large set of asymptomatic	4
for the purpose of	4
local government affects the	4
epidemic thresholds in real	4
supply chain network design	4
nodes v i and	4
the cause of the	4
in the range of	4
attitude of the public	4
epidemic protection mediates the	4
to an epidemic outbreak	4
in order to understand	4
the role of children	4
of the final size	4
is likely to be	4
european centre for disease	4
the first phase of	4
the classical sis epidemic	4
in accordance with the	4
we find that a	4
that are related to	4
h n and dengue	4
impacts of the epidemic	4
in the literature that	4
in what follows we	4
behaviour of the epidemic	4
to the end of	4
cause of death in	4
in the age of	4
and the war against	4
the epidemic can be	4
variables to the mc	4
demonstrates that a multi	4
to the mc model	4
spreading and disease information	4
by the number of	4
shift of percolation thresholds	4
the appearance of symptoms	4
the question of the	4
the values of a	4
i is susceptible and	4
the capacity of virus	4
the epidemic of covid	4
of words related to	4
is the most common	4
strategies for mitigating an	4
of the epidemic spreading	4
is all the more	4
transmission of the virus	4
slow down the epidemic	4
in the development of	4
disease transmission in the	4
the emergence of new	4
nodes to connect to	4
number of intending travelers	4
it is estimated that	4
after the epidemic is	4
rogue bats and the	4
of the cb model	4
is confined in the	4
the proportion of the	4
anyone can legally share	4
the international spread of	4
situation of the whole	4
interplay between the dynamics	4
is not easy to	4
in the early days	4
placed this this version	4
digit distribution of the	4
in the fight against	4
permits comparisons between age	4
diffusion of the epidemic	4
of transmission and control	4
using the who method	4
severity of the epidemic	4
child dying before yr	4
the cfr from ids	4
susceptible and v j	4
the psychological impact of	4
local and contact awareness	4
epidemic spreading and disease	4
for severe acute respiratory	4
to the benford distribution	4
the magnitude and the	4
chemoprophylaxis of contacts is	4
it is known that	4
serial interval of novel	4
contact with an infected	4
as soon as possible	4
fraction of infected individuals	4
as a cause of	4
we found that the	4
approved the final manuscript	4
been used to model	4
social resistance to the	4
that local government affects	4
the decay ratio is	4
ebola epidemic in west	4
dissemination of novel coronavirus	4
sir model can be	4
those from areas without	4
regular component of the	4
sars and h n	4
of the h n	4
of the epidemic events	4
reproduction number of the	4
review of molecular epidemiology	4
number of cumulative infections	4
confined in the interval	4
highly pathogenic avian influenza	4
intention to adopt covid	4
based on the classical	4
centre for disease prevention	4
the exploratory spatial data	4
first digit distribution is	4
an approach based on	4
the incubation period in	4
during the severe acute	4
the growth of the	4
affected by the epidemic	4
a positive effect on	4
input variables to the	4
the transformation process of	4
an analysis of the	4
and fatality rate peaks	4
the date of the	4
infectious diseases in humans	4
the final phase of	4
diarrhoea caused by porcine	4
the most commonly identified	4
early in the course	4
is the total number	4
derive the epidemic threshold	4
in response to epidemics	4
epidemic sustains in the	4
in the nineteenth century	4
this is all the	4
by the spread of	4
onset of clinical signs	4
the reason for the	4
whole or in part	4
considered to be a	4
the epidemic spreading is	4
has led to the	4
of the references to	4
in densely populated areas	4
that can be used	4
be taken into account	4
concluded that local government	4
epidemic of diarrhoea caused	4
outbreak of porcine epidemic	4
and v j is	4
the authors showed that	4
the day of the	4
the existence of the	4
and the risk of	4
of the epidemic to	4
to contain the epidemic	4
while the global awareness	4
when pf j is	4
two regions of the	4
facilitates the rapid dissemination	4
genes of porcine epidemic	4
both departure and arrival	4
pandemic influenza severity assessment	4
of parenteral antibiotic therapy	4
on epidemic prevention is	4
reduce the risk of	4
social distancing measures in	4
of the ebola epidemic	4
the emergence of the	4
of cases and deaths	4
to make sense of	4
experience did not impact	4
per cent of all	4
based on the pairwise	4
the individual interview conducted	4
the copyright holder has	4
are likely to be	4
the population distribution and	4
to account for the	4
a high prevalence of	4
the epidemic threshold can	4
information diffusion on complex	4
the transmission dynamics and	4
the severity of coronavirus	4
for the case of	4
at the early stages	4
probabilities of state transitions	4
and epidemic spreading in	4
the impact of these	4
of the west african	4
in the public domain	4
cure rate and the	4
of the average epidemic	4
the contact network is	4
the epidemic spreading probability	4
cumulative number of confirmed	4
a continuous dynamic behavior	4
young and elderly people	4
means the daily income	4
genotyping of emergent porcine	4
the infected and fatality	4
break out in a	4
substantial undocumented infection facilitates	4
h n swine flu	4
communicable diseases of epidemic	4
in the family coronaviridae	4
the i ic class	4
models as special cases	4
in a high infected	4
can be described by	4
in the initial phase	4
clinical characteristics of coronavirus	4
ivanov transportation research part	4
number of confirmed cases	4
length of the epidemic	4
longer restricted by copyright	4
i means the daily	4
probability that an infected	4
is due to the	4
after the policies were	4
the number of infectives	4
the dependence of the	4
to the implementation of	4
at a given time	4
the availability of a	4
proliferation of crypt cells	4
spread of awareness and	4
is an open access	4
and found that the	4
in order to test	4
of meningococcal disease presents	4
a role in the	4
to the case of	4
projecting the transmission dynamics	4
the risk of a	4
in the following analysis	4
behavior dynamics on complex	4
in pigs of all	4
static and dynamic small	4
at the peak of	4
diseases of epidemic potential	4
resistance to the ebola	4
the republic of guinea	4
avoid unnecessary contact with	4
studies have shown that	4
magnitude and strength of	4
they have no competing	4
of the creative commons	4
to the emergence of	4
infected and fatality rate	4
value of the state	4
the exponential growth rate	4
values of r max	4
reservoir animals and known	4
the vast majority of	4
following the onset of	4
an open access article	4
the covid epidemic in	4
the point of view	4
diarrhoea virus in italy	4
version of this article	4
estimates of the severity	4
what we may call	4
train health workers in	4
the epidemic diffusion in	4
or adapt this material	4
of a porcine epidemic	4
influenced by the epidemic	4
there are also some	4
means that the epidemic	4
mitigating an influenza pandemic	4
was found to be	4
fraction of infected nodes	4
the value of a	4
is the same as	4
other members of the	4
n and dengue fever	4
with the exception of	4
forest region of the	4
after onset of symptoms	4
beginning of the simulations	4
have been reported in	4
cumulative number of covid	4
number of cases and	4
is the expected number	4
on complex layered networks	4
of the bushmeat ban	4
to be associated with	4
in the infection period	4
from ids in cases	4
who posted at least	4
a mathematical modelling study	4
average over the whole	4
like strain of porcine	4
of the start of	4
epidemic and the challenges	4
animals and known disease	4
spread around the globe	4
more likely to break	4
turned out to be	4
the rogue bats and	4
led to the development	4
impact on epidemic outbreaks	4
the standard sir model	4
pandemic influenza in the	4
be found that the	4
takes into account the	4
during the study period	4
age and gender groups	4
from the point of	4
gastroenteritis virus and porcine	4
the number of intending	4
early dynamics of transmission	4
the dummy variable n	4
dummy variable n d	4
speed of epidemic propagation	4
the response to an	4
in time and space	4
nationals of the hostile	4
of the standard sir	4
of the virus to	4
the number of nodes	4
the arrows in fig	4
the absence of a	4
this material for any	4
the deterministic continuous solver	4
coronaviruses as the gene	4
as well as in	4
on the spatial distribution	4
public health authorities and	4
agglutination to o antisera	4
to the epidemic spread	4
the vulnerability of a	4
caused by porcine epidemic	4
reproduction number in the	4
a special case of	4
basic reproduction number r	4
isolate of porcine epidemic	4
number of novel coronavirus	4
as detailed in the	4
to changes in the	4
material for any purpose	4
at such a time	4
south korea and taiwan	4
awareness and epidemic spreading	4
parts of the world	4
in the transmission of	4
and predict the impacts	4
of an epidemic may	4
the competitive diffusions of	4
state that people are	4
simulation and optimization software	4
awareness can raise the	4
of rumor and knowledge	4
from person to person	4
of sexually transmitted diseases	4
total number of infections	4
in whole or in	4
decreases with the increase	4
the s protein is	4
capacity of virus transmission	4
associated with diarrhea in	4
this research can be	4
in dynamic contact networks	4
of two representative diseases	4
university is located in	4
the influenza epidemic of	4
bats and the war	4
countries of the world	4
a reduction in the	4
an outbreak of swine	4
the perceived feasibility to	4
the number of links	4
must be scheduled as	4
and without prior epidemic	4
no longer restricted by	4
ebola response in the	4
most likely to work	4
thresholds in real networks	4
copyright holder has placed	4
depends not only on	4
the average epidemic curve	4
the coming of the	4
adapt this material for	4
of the epidemic plumes	4
the h n influenza	4
understanding social resistance to	4
can be used by	4
the social and economic	4
of contagious people in	4
prevent the epidemic spreading	4
in the s protein	4
held in place for	4
chain network design under	4
probability that a node	4
porcine epidemic diar rhea	4
types of spreading dynamics	4
and porcine epidemic diarrhoea	4
estimated as a constant	4
of the ministry of	4
the classical sir model	4
a large fraction of	4
the area under the	4
in relation to the	4
of the epidemic process	4
as was the case	4
the cure rate and	4
can raise the epidemic	4
the outbreak on the	4
during and after the	4
in south korea and	4
severity of coronavirus disease	4
interval of novel coronavirus	4
an increasing number of	4
and the state of	4
number of secondary cases	4
can be observed in	4
is the transmission rate	4
the second and third	4
it is easy to	4
the explanatory power of	4
outbreaks on the sc	4
as much as possible	4
holder has placed this	4
resulting in a high	4
ebola virus disease outbreak	4
in the use of	4
of a live borne	4
number of recovered cases	4
and the theory of	4
have been proposed to	4
they do not take	4
with and without prior	4
likely to break out	4
of coronavirus disease in	4
networks epidemic thresholds in	4
a high infected level	4
consider the impact of	4
the number of the	4
without the support of	4
for the study of	4
and the mortality rate	4
of all the language	4
from the beginning of	4
form of the disease	4
divided by the number	4
epidemic threshold can be	4
consequently resulting in a	4
outbreak threshold indicates that	4
the disruption duration upstream	4
epidemic will lead to	4
epidemic outbreaks as a	4
predict the impacts of	4
can see that the	4
a mathematical model for	4
as well as on	4
if at least one	4
the largest eigenvalue of	4
between awareness and epidemic	4
response in the forest	4
the ebola response in	4
among people aged or	4
used to evaluate the	4
of a node with	4
the intensity of the	4
proportion of those who	4
dynamics on complex layered	4
the war against the	4
a node with degree	4
at the final state	4
the relationship between the	4
show that the epidemic	4
against the invisible enemy	4
probability of a live	4
during the epidemic of	4
it has been shown	4
is susceptible and v	4
dependence of the epidemic	4
live borne child dying	4
a simple sir model	4
chapter in this volume	4
diarrhea and or vomiting	4
have the potential to	4
without prior epidemic experience	4
the effectiveness of self	4
epidemic spreading can be	4
importation of an epidemic	4
extracts of the individual	4
countries that have reached	4
through the postpandemic period	4
infectious diseases such as	4
of the epidemic of	4
high prevalence of epidemic	4
a contribution to the	4
results indicate that the	4
transmission of pedv has	4
the rapid dissemination of	4
the face of the	4
and genotyping of emergent	4
the product of the	4
game theory has been	4
is observed in the	4
the influencing factors of	4
the study of epidemic	4
por cine epidemic diarrhea	4
interacting spreading dynamics on	4
dynamical interplay between awareness	4
finds good agreement with	4
for the design of	4
the informed individuals would	4
as well as that	4
virus and porcine epidemic	4
at least one tweet	4
population of each sub	4
and word of mouth	4
during an influenza pandemic	4
people in the infection	4
that may be used	4
the same outbreak location	4
disease spreading and information	4
parameters allowed to vary	4
all over the world	4
biotype caused the th	4
days of parenteral antibiotic	4
sequence analysis of the	4
the outcome of the	4
the mode of transmission	4
some of the most	4
into account the spatial	4
dynamics of the network	4
to assess the impact	4
outbreak threshold of epidemic	4
first time in the	4
exponential growth of the	4
phases of the epidemic	4
the global awareness cannot	4
pandemic strain of influenza	4
the rapid spread of	4
the bills of mortality	4
international spread of pandemic	4
spreading in networked population	4
of information diffusion and	4
of travel restrictions on	4
let us consider the	4
a model for the	4
total number of users	4
the probability of infection	4
final phase of the	4
the example of coronavirus	4
virus disease in guinea	4
wom on online social	4
spreading dynamics on complex	4
be divided into three	4
protection mediates the association	4
who concluded that local	4
of the quarantine factor	4
behavior of the epidemic	4
previous infectious disease outbreaks	4
infected cases per million	4
can be obtained by	4
is a consequence of	4
affects the spread of	4
with the use of	4
in one of the	4
of the republic of	4
scaling in random networks	4
for any purpose without	4
dynamics of transmission and	4
correlation characteristics of the	4
as a source of	4
made early in the	4
a systematic review and	4
used to model the	4
porcine epidemic diarrhea viruses	4
the public health system	4
which corresponds to the	4
coronavirus disease in china	4
coping strategies and collective	4
has placed this this	4
a porcine epidemic diarrhea	4
well after the epidemic	4
crediting the original authors	4
the control of the	4
impact on the epidemic	4
the preparation and response	4
the diffusion of rumor	4
presentation of cases among	4
meningococcal disease presents with	4
of their infectious period	4
using the example of	4
of epidemics on networks	4
purpose without crediting the	4
the epidemic after the	4
the number of persons	4
individuals in the population	4
epidemic and disease information	4
or the other of	4
reproduction number of novel	4
emergence of scaling in	4
a larger fraction of	4
cfr from ids in	4
described in terms of	4
and approved the final	4
a broad distribution of	4
experimental infection of pigs	4
characteristics of coronavirus disease	4
of emergent porcine epidemic	4
span of the epidemic	4
down the epidemic spreading	4
the infection rate is	4
the accuracy of the	4
summed average of the	4
the turn of the	4
on the epidemic dynamics	4
a live borne child	4
interact with each other	4
comparisons between age groups	4
review on antimicrobial resistance	4
use iata packing instruction	4
epidemic diarrhea virus and	4
of the porcine epidemic	4
strategies and collective strategies	4
after the quarantine is	4
may be difficult to	4
the results are shown	4
highlight a potential inaccuracy	4
undocumented infection facilitates the	4
beyond the scope of	4
results are supported by	4
increases with the increase	4
rapid dissemination of novel	4
the importation of an	4
time probabilities of state	4
at the level of	4
intermittent social distancing strategy	4
assess the impact of	4
is necessary to get	4
distribution of the time	4
the source region is	4
emergence of porcine epidemic	4
both static and dynamic	4
on the nature of	4
to the presence of	4
is no longer restricted	4
we present in fig	4
an increase in the	4
that needs to be	4
that the cb model	4
of awareness and its	4
set of n nodes	4
virus strains in the	4
rumor can be eradicated	4
were found to be	4
similar to that of	4
a potential inaccuracy in	4
the number of daily	4
diffusion on complex networks	4
region of the republic	4
the cavity node l	4
both asymptomatic and symptomatic	4
of this paper is	4
at different sc echelons	4
stage of the epidemic	4
asymmetrically interacting spreading dynamics	4
of the individual interview	4
class of asymptomatic infectives	4
the state vector at	3
density of the rumor	3
parameters describing an epidemic	3
for of the population	3
epidemic in the us	3
turns out to be	3
reuse allowed without permission	3
to processes in statistical	3
is not taken into	3
in the sc is	3
in some of the	3
and indirect effect is	3
strength of the mediation	3
variation in seasonal epidemic	3
pedv has also been	3
of the host to	3
allowed to vary across	3
for public health surveillance	3
existence and its unpredictable	3
and epidemic outbreak propagation	3
for example in the	3
this is shown in	3
a mean of mil	3
on the data of	3
one tweet at time	3
durations downstream the sc	3
a measure of the	3
severe diarrhea and or	3
current course of the	3
delay in epidemic propagation	3
the spatial weight matrix	3
of the population that	3
exposed to be the	3
the final size and	3
case every two days	3
the interaction between the	3
fit of the epidemic	3
of the epidemic trajectory	3
of a large class	3
genetically related to the	3
at the national level	3
virus in porcine postweaning	3
reached the peak of	3
by age and gender	3
heterogeneity of degree distribution	3
large number of initially	3
tended to be stable	3
explore the evolution of	3
the second to the	3
be influenced by the	3
vigilance to the number	3
the epidemic spreading significantly	3
before the end of	3
driven adaptive process can	3
in this article are	3
we consider a set	3
the world have been	3
perspective to understand the	3
outbreaks have been reported	3
the construction of the	3
transmission dynamics of novel	3
outcome of the direct	3
to be immunized before	3
since the beginning of	3
effects work in the	3
as the source of	3
national health commission of	3
vigilance to the epidemic	3
the use of mathematical	3
of the theory of	3
deferred until well after	3
vector at time t	3
estimating the impact of	3
simulation study that opens	3
only a moderate effect	3
temporal dynamics in viral	3
and information diffusion in	3
number of cases for	3
policies in case of	3
of the three social	3
of the ripple effect	3
countries is shown in	3
makers to predict the	3
that exponential growth was	3
signal processing on graphs	3
factors x and x	3
after the us outbreak	3
to the duration of	3
version of the model	3
early detection of asymptomatic	3
in the health sector	3
different epidemic curves for	3
the diffusion of disease	3
node receives information from	3
particle associated with diarrhea	3
the number of possible	3
case of epidemic outbreaks	3
in the sense that	3
an infectious disease outbreak	3
need to be immunized	3
epidemic threshold on temporal	3
disruption existence and its	3
lead to a slow	3
the critical value of	3
is defined as a	3
factors related to the	3
with a standard deviation	3
set of asymptomatic infectives	3
of the network topology	3
and the dynamics of	3
this is an open	3
epidemiology of infectious diseases	3
composite parameter recommended by	3
costly and disruptive public	3
we show that the	3
the set of edges	3
the individuals need to	3
and recovery policies in	3
adopt epidemic prevention is	3
all the language categories	3
in the management of	3
can be differentiated if	3
serious violations of laws	3
reached at time t	3
the host to the	3
the structure and dynamics	3
and risk factors for	3
shared functional configurations set	3
important and influential factor	3
needed to facilitate the	3
genetic characterization of porcine	3
in light of this	3
is called complementary mediation	3
we can eliminate the	3
an interdisciplinary research area	3
can be difficult to	3
dynamics on the network	3
sc echelons rather than	3
average of the column	3
as shown in table	3
account the presence of	3
ili visits among all	3
epidemic in the source	3
restrictions on the spread	3
controlling of a pandemic	3
recovery at different echelons	3
and a new toolkit	3
in the emergence of	3
size of the intervention	3
used to estimate the	3
it is still possible	3
in the event of	3
to the ib model	3
competing spreading processes on	3
recognition and trend analysis	3
capital asset is influenced	3
and response to epidemics	3
their influence on the	3
in the virulence of	3
as spreaders of rabies	3
us centers for disease	3
to be caused by	3
the disease spreading and	3
all the more important	3
by the diffusion of	3
future trends of the	3
effect between the role	3
most probable approximating function	3
in the spike gene	3
obtain information about the	3
the policies were published	3
the spread of sars	3
estimating the asymptomatic proportion	3
work is supported by	3
a vaccine is developed	3
a huge number of	3
the second group of	3
according to its transmission	3
are presented in the	3
across years and also	3
of the column entries	3
whether or not to	3
the coefficient of determination	3
it is extremely difficult	3
the normalized epidemic plumes	3
the main source of	3
model of the covid	3
effect of coupling dynamics	3
be kept in mind	3
that complementary and competitive	3
population as well as	3
in the village of	3
parameters and initial conditions	3
as described in the	3
to slow down the	3
prevalence of epidemic will	3
outbreak of the covid	3
asymptomatic proportion of coronavirus	3
not only slow down	3
and the death rate	3
in demand and supply	3
was found that the	3
the reason for this	3
effects of local spatial	3
time in the usa	3
of probabilistic semantic variables	3
in the epidemic peak	3
mitigation preparedness and recovery	3
is the spectral radius	3
for an sc to	3
effects of the epidemic	3
and the intensity of	3
networks and epidemic models	3
that the diffusion of	3
without loss of generality	3
of view of the	3
in order to prevent	3
held in place until	3
and important lessons from	3
conducted with the pastor	3
while the traffic accessibility	3
played an important role	3
features of patients infected	3
and the end of	3
dynamics in viral shedding	3
virus and transmissible gastroenteritis	3
individuals as well as	3
or personal relationships that	3
we do not have	3
feline infectious peritonitis virus	3
approximating function of the	3
the threshold level of	3
the number of neighbors	3
only slow down the	3
nonlinearly with the increase	3
in these countries is	3
of the coronavirus disease	3
epidemic of influenza in	3
new risk analysis methods	3
of the disease with	3
how the epidemic is	3
the spread of dengue	3
shall in turn prevent	3
comes in contact with	3
imagining vermin in early	3
we compared the results	3
preprint in the copyright	3
new variants of porcine	3
did we learn from	3
over the last years	3
outbreak impact on the	3
and the capacity of	3
the number of infectious	3
as a reaction to	3
of an epidemic event	3
at the turn of	3
to the virus and	3
interview conducted with the	3
the path coefficients are	3
number of secondary infections	3
disruptive public health controls	3
is distinctively characterized by	3
propose a new activity	3
between rumor and knowledge	3
in significant economic losses	3
model based on the	3
disease outbreak in the	3
in social media and	3
evolution of the fraction	3
of the beginning of	3
of public health emergency	3
a new perspective to	3
patients infected with novel	3
scs and develop pandemic	3
of the interplay between	3
presence during the outbreak	3
that can be implemented	3
transmission of the epidemic	3
analysis demonstrates that a	3
geometric mean of the	3
for the use of	3
the operative and long	3
risk mitigation preparedness and	3
a limited number of	3
different phases of the	3
be found in the	3
the sc performance using	3
exponential growth in the	3
the transition from the	3
threshold for preventive behavioral	3
over the whole period	3
the exposure of the	3
speed of epidemic spreading	3
behavior in response to	3
other parts of china	3
we want to discuss	3
cases with very long	3
condition in which direct	3
under the infectiousness function	3
the effect of coupling	3
around the world were	3
the work reported in	3
where due to malnutrition	3
is worth noting that	3
of the infected and	3
the expansion of the	3
of the order of	3
to estimate the effects	3
to determine eligibility for	3
the infectivity of rumor	3
comprehensive review of molecular	3
time evolution of the	3
the reader is referred	3
it has been estimated	3
the epidemic will be	3
not aware of being	3
its impact on epidemic	3
is referred to the	3
effect of travel restrictions	3
recovered epidemics in dynamic	3
layer network is an	3
sided confidence interval of	3
the functional configuration matching	3
awareness that increases with	3
functional configuration matching degree	3
outcomes of this research	3
data should be integrated	3
is that the epidemic	3
the peaks in the	3
the level of intervention	3
to run the simulation	3
also allowed to vary	3
areas without prior epidemics	3
of the virulence of	3
a range of plausible	3
to quantify the influence	3
total number of individuals	3
predict the course of	3
of daily infection total	3
similar impacts of control	3
time markov chain approach	3
in view of the	3
reader is referred to	3
the state of recovery	3
attempting to control the	3
from the outbreak on	3
during the sars outbreak	3
economic influence of the	3
a considerable fraction of	3
structure on epidemiological invasions	3
long can an sc	3
in terms of both	3
the origin of the	3
different echelons in the	3
the scs and develop	3
develop pandemic sc plans	3
outbreaks with quantified uncertainty	3
the mean number of	3
between the beginning of	3
the total population of	3
most important and influential	3
in china without hubei	3
epidemic spreading in networked	3
each of the three	3
should be taken into	3
a set of sensitivity	3
there is a need	3
scale of disruption propagation	3
so personal hygiene plays	3
a local epidemic is	3
epidemic spread rate were	3
is similar to the	3
based on the principle	3
of this work was	3
the sensitivity of the	3
or weeks before farrowing	3
the mc model is	3
a decrease in the	3
role of children in	3
coming of the devi	3
k at time t	3
the risk of human	3
and the dummy variable	3
who have recovered from	3
on the outbreak thresholds	3
during our other efforts	3
number of contacts per	3
by the total number	3
mitigate the effects of	3
with fuzzy theory to	3
the density of infected	3
large class of asymptomatic	3
consider a set of	3
fuzzy sets and systems	3
social presence during the	3
at the global level	3
on the epidemiology of	3
infection and case fatality	3
outbreak phenomenon emerges via	3
is helpful to eradicate	3
to prevent and control	3
slows down the epidemic	3
to the time of	3
the who and the	3
impact of nonpharmaceutical interventions	3
asymptomatic and symptomatic individuals	3
impact of an epidemic	3
all of the hypotheses	3
the widely used ib	3
it is more important	3
also consistent with the	3
spread in the population	3
the source region and	3
interventions would be most	3
downstream facilities and days	3
in china complete genome	3
into the current pandemic	3
mathematical model for the	3
value was higher than	3
sc to recover after	3
on board the diamond	3
form of sexual violence	3
to pf i through	3
predict the operative and	3
the number of units	3
analysis of individual season	3
we then obtained the	3
by the medical treatment	3
the number of parameters	3
an sc sustain a	3
with the mem method	3
road to health charts	3
the goal of the	3
the whole study area	3
the solution of the	3
the success of the	3
the other of the	3
an inquiry into the	3
of patients infected with	3
may be interpreted as	3
spreaders of infectious diseases	3
the increase of birth	3
ratio of the second	3
most affected by the	3
of laws and customs	3
the delay in the	3
of immunity in the	3
generalized logistic growth model	3
for a number of	3
order to understand the	3
ci of mean of	3
there has been no	3
highest epidemic weekly ili	3
in the copyright holder	3
surgeons around the world	3
epidemic among the general	3
mouth and online social	3
the specific features that	3
and severe acute respiratory	3
be eradicated by the	3
take full advantage of	3
was first identified in	3
can be eradicated by	3
increased awareness of the	3
of the epidemic by	3
which shall in turn	3
the convergence of the	3
with regard to the	3
on the evolution of	3
infectious diseases and its	3
if and only if	3
transmission on epidemic outbreaks	3
the most probable approximating	3
how long does it	3
is it possible to	3
from the source region	3
control in primary care	3
may lead to a	3
to influence the work	3
same direction is called	3
the same direction is	3
in porcine cell cultures	3
for processing statistical data	3
could lead to the	3
is caused by the	3
equations of the two	3
identified for the first	3
describe the competitive diffusions	3
novel porcine epidemic diarrhea	3
have no known competing	3
rather than on the	3
analysis of epidemic spreading	3
number of individuals infected	3
the total probability of	3
the disease reproduction number	3
epidemic is transmitting at	3
describe the spread of	3
of this research can	3
local spatial structure on	3
early detection of outbreaks	3
distribution of the number	3
a great deal of	3
which interventions would be	3
the adaptation and acceptance	3
are part of the	3
little disease related corpora	3
further theoretical analysis demonstrates	3
three seasons of virologic	3
the state of death	3
case of the sars	3
where i is the	3
the introduction of a	3
in the uk and	3
recurrent mobility patterns of	3
of data sharing and	3
the authors would like	3
and which interventions would	3
epidemic prevention and control	3
the authors have no	3
to the beginning of	3
use of mathematical models	3
than the second one	3
to policymakers and the	3
a comprehensive review of	3
emergent porcine epidemic diarrhea	3
is transmitting at the	3
improve our understanding of	3
access article distributed under	3
has the potential to	3
phase of the outbreak	3
and end of the	3
to epidemic outbreaks with	3
opens some new research	3
column entries in the	3
the epidemic of fear	3
was the case in	3
of the language categories	3
in which direct and	3
and transmission of covid	3
sufficient conditions under which	3
after the start of	3
through an adaptable process	3
second wave of the	3
with the value of	3
is that of a	3
work in the same	3
model such as the	3
during the whole time	3
at least of the	3
the cumulative infection probability	3
the emerging field of	3
of the third plague	3
policies of data sharing	3
a constant parameter across	3
whole period of study	3
of zaire ebola virus	3
the same way as	3
as a constant parameter	3
those who have been	3
were held in place	3
the epidemic dynamics and	3
it means that the	3
the first peak of	3
and propose a new	3
to an increase in	3
human animals as epidemic	3
epidemic diarrhea virus from	3
disruption durations in the	3
between these two types	3
on the i ic	3
size and duration of	3
in order to get	3
in the contact network	3
intensity of knowledge is	3
worth noting that the	3
for the epidemic threshold	3
as a public health	3
sided ci of mean	3
such as social distancing	3
and discussion sections of	3
in our case study	3
results of our study	3
based influence factors of	3
vermin in early modern	3
the coupled differential equations	3
such as severe acute	3
calculate the first digit	3
eligibility for feeding programs	3
of the severe acute	3
performance as a reaction	3
diffusion of disease information	3
be used to examine	3
define the constants then	3
of a threshold for	3
number of cases in	3
thought to be associated	3
of the ib model	3
has the advantage of	3
news and fake news	3
as well as by	3
diseases as well as	3
transmit at the next	3
known competing financial interests	3
symptomatic and asymptomatic cases	3
to describe the spread	3
in the area in	3
half of the th	3
a modified seir model	3
epidemic diar rhea virus	3
of the public toward	3
parameter across years and	3
reaction to an epidemic	3
as many of the	3
a generalization of the	3
visits among all outpatient	3
analysis and pattern recognition	3
of the contact network	3
zaire ebola virus disease	3
methodology can be used	3
wash hands with soap	3
is in fact a	3
on the disruption duration	3
mean of all peak	3
the dawn of bacteriology	3
point of view of	3
of mouth and online	3
of por cine epidemic	3
and the proportion of	3
of risk mitigation preparedness	3
see that the epidemic	3
epithelial cells of the	3
would be needed to	3
the prevalence of malnutrition	3
adaptive human behavior in	3
there is a risk	3
compared to those from	3
under operational and disruption	3
of the response to	3
and the effect of	3
of the disease in	3
epidemic spreading and the	3
number of epidemic weeks	3
our results show that	3
set of sensitivity experiments	3
to facilitate the integration	3
to recover after an	3
the epidemic of the	3
specific vaccine is available	3
models of infectious disease	3
the probability judgment value	3
democratic republic of congo	3
the ebola epidemic in	3
there were no significant	3
the dynamics of disease	3
order to test the	3
new daily increase confirmed	3
focus on the parameter	3
response and vaccination policy	3
virus in the united	3
china during the covid	3
the minimum number of	3
be caused by a	3
are responsible for the	3
to obtain the probability	3
the association between the	3
that of a simple	3
the conference data set	3
be explained by the	3
was identified for the	3
the context of covid	3
shanghai stock exchange and	3
the assumption of the	3
from any of its	3
we do not consider	3
infected with novel coronavirus	3
examine and predict the	3
medical facilities conditions had	3
of a major epidemic	3
awareness on the epidemic	3
contact awareness can raise	3
the quarantine was lifted	3
fuzzy theory to obtain	3
the novel coronavirus disease	3
inflection point of the	3
be deferred until well	3
that a large fraction	3
successful rate of self	3
and also allowed to	3
emblems of the geneva	3
asset pricing model with	3
to the introduction of	3
we believe that the	3
case of an epidemic	3
a deeper understanding of	3
should be stressed that	3
data from the outbreak	3
a public health problem	3
financial interests or personal	3
to those from areas	3
of the epidemic angle	3
all nodes v i	3
be scheduled as semi	3
policies on different industries	3
the scale of a	3
the wake of the	3
interests or personal relationships	3
the data prediction of	3
the main factors affecting	3
epidemic after the policies	3
as severe acute respiratory	3
is the first study	3
large deletion in the	3
phenomenon emerges via the	3
positive impact on the	3
a nonlinear model to	3
and control of severe	3
of data from the	3
dynamic models to epidemic	3
of behavioral response and	3
performance reaction depends on	3
the middle of the	3
and transmissible gastroenteritis virus	3
porcine cell cultures and	3
likely to transmit disease	3
evaluate the effect of	3
to the cavity node	3
equilibrium density of the	3
the announcement of the	3
is converted to pf	3
the epidemic threshold in	3
spectral radius of the	3
for the first period	3
vaccination and the theory	3
each node v i	3
would be useful to	3
based on propagation dynamics	3
as estimated by the	3
of the epidemic can	3
a series of barriers	3
good agreement with empirical	3
a wider range of	3
critical care utilization for	3
in the name of	3
the dynamics on the	3
the economic influence of	3
is used as a	3
is the role of	3
the epidemic spreading can	3
a combination of the	3
rate and the death	3
in online social presence	3
interval of the geometric	3
be seen as the	3
the effects of local	3
in order to obtain	3
the development of animal	3
peak of the epidemics	3
has been shown to	3
the functional configuration of	3
the outbreak thresholds in	3
a central role in	3
information transmission on epidemic	3
of the health system	3
direct and indirect effect	3
like particle associated with	3
lessons from the coronavirus	3
the current pandemic preparedness	3
as the duration of	3
number of pig deaths	3
would be most cost	3
in the two beta	3
of ili visits among	3
expected number of infected	3
proportion of coronavirus disease	3
and contact awareness can	3
the epidemic potential of	3
supply may have positive	3
usa national pandemic plan	3
trend of the epidemic	3
is no longer a	3
the scientific community has	3
shown in the top	3
processes in statistical physics	3
network or contact pattern	3
the facilities at different	3