This is a table of type trigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
trigram | frequency |
---|---|
of the epidemic | 431 |
the number of | 294 |
as well as | 168 |
the impact of | 155 |
in order to | 126 |
the spread of | 119 |
porcine epidemic diarrhea | 112 |
the effect of | 109 |
based on the | 106 |
of the covid | 97 |
in terms of | 95 |
epidemic diarrhea virus | 94 |
of the population | 88 |
the epidemic threshold | 86 |
of the disease | 85 |
of porcine epidemic | 82 |
the role of | 81 |
of an epidemic | 76 |
on the other | 75 |
according to the | 74 |
such as the | 74 |
the case of | 72 |
due to the | 71 |
porcine epidemic diarrhoea | 69 |
the other hand | 67 |
online social presence | 66 |
the use of | 66 |
of infectious diseases | 65 |
the epidemic spread | 61 |
the end of | 59 |
the presence of | 59 |
of the virus | 57 |
severe acute respiratory | 57 |
the epidemic in | 56 |
the effects of | 56 |
the united states | 56 |
the value of | 56 |
the course of | 55 |
at time t | 55 |
during an epidemic | 55 |
in this paper | 54 |
acute respiratory syndrome | 54 |
world health organization | 53 |
in the case | 53 |
one of the | 51 |
there is a | 51 |
number of infected | 51 |
the epidemic spreading | 50 |
in this study | 49 |
total number of | 49 |
epidemic diarrhoea virus | 49 |
be used to | 48 |
on the epidemic | 48 |
the total number | 48 |
that the epidemic | 48 |
the beginning of | 48 |
the evolution of | 47 |
the development of | 46 |
the risk of | 46 |
the dynamics of | 46 |
course of the | 46 |
shown in fig | 46 |
epidemic spreading in | 46 |
there is no | 44 |
of the world | 43 |
in this case | 43 |
it is not | 42 |
the emergence of | 42 |
role of e | 41 |
the epidemic is | 41 |
in the united | 41 |
a number of | 41 |
can be used | 40 |
the epidemic and | 40 |
beginning of the | 39 |
the diffusion of | 39 |
spread of the | 39 |
as a result | 39 |
in the population | 39 |
in the early | 38 |
to the epidemic | 38 |
analysis of the | 38 |
in the same | 38 |
end of the | 38 |
evolution of the | 38 |
an epidemic outbreak | 37 |
as shown in | 37 |
number of cases | 37 |
of the infection | 37 |
the fraction of | 36 |
at the same | 36 |
the influence of | 36 |
in response to | 36 |
value of the | 36 |
of the network | 36 |
the fact that | 35 |
the probability of | 35 |
of the infected | 35 |
the incubation period | 35 |
the level of | 34 |
dynamics of the | 34 |
related to the | 34 |
the distribution of | 34 |
it has been | 34 |
impact of the | 33 |
the same time | 33 |
at the time | 33 |
to predict the | 33 |
and public health | 32 |
impact on the | 32 |
the epidemic peak | 32 |
size of the | 32 |
of epidemic spreading | 32 |
of the outbreak | 32 |
in other words | 32 |
well as the | 32 |
to be the | 32 |
in the s | 32 |
of novel coronavirus | 32 |
the results of | 31 |
the absence of | 31 |
in the context | 31 |
distribution of the | 31 |
of public health | 31 |
values of the | 31 |
the values of | 31 |
a set of | 31 |
the context of | 31 |
around the world | 31 |
the source region | 31 |
depending on the | 31 |
ebola virus disease | 31 |
the proportion of | 30 |
it can be | 30 |
depends on the | 30 |
with respect to | 30 |
during the covid | 29 |
the basis of | 29 |
p r o | 29 |
u r n | 29 |
during the epidemic | 29 |
duration of the | 29 |
part of the | 29 |
j o u | 29 |
to describe the | 29 |
a l p | 29 |
o u r | 29 |
l p r | 29 |
we assume that | 29 |
r o o | 29 |
the importance of | 29 |
most of the | 29 |
the size of | 29 |
the start of | 29 |
n a l | 29 |
r n a | 29 |
of the first | 29 |
p r e | 29 |
o o f | 29 |
the probability that | 29 |
the time of | 28 |
more likely to | 28 |
epidemic in the | 28 |
a function of | 28 |
of epidemic outbreaks | 28 |
in the usa | 28 |
epidemic spread rate | 28 |
the increase of | 28 |
the possibility of | 28 |
of the pandemic | 27 |
at the end | 27 |
the epidemic outbreak | 27 |
regions of the | 27 |
compared to the | 27 |
and control of | 27 |
the duration of | 27 |
of the most | 27 |
on the basis | 27 |
the copyright holder | 27 |
at the beginning | 26 |
found that the | 26 |
infectious disease outbreaks | 26 |
in the source | 26 |
in the epidemic | 26 |
of infectious disease | 26 |
that it is | 26 |
that can be | 26 |
the epidemic of | 26 |
lead to a | 26 |
that of the | 26 |
for the first | 26 |
take into account | 26 |
a series of | 26 |
in complex networks | 26 |
understanding of the | 25 |
need to be | 25 |
in addition to | 25 |
needs to be | 25 |
the existence of | 25 |
we find that | 25 |
the cb model | 25 |
in which the | 25 |
to estimate the | 25 |
the effectiveness of | 25 |
phase of the | 25 |
spread of epidemic | 25 |
of the model | 25 |
likely to be | 25 |
in the following | 25 |
used in the | 24 |
large number of | 24 |
of the two | 24 |
and in the | 24 |
the sir model | 24 |
to assess the | 24 |
is that the | 24 |
an important role | 24 |
the state of | 24 |
for disease control | 24 |
in south korea | 24 |
the density of | 24 |
on epidemic spreading | 24 |
into account the | 24 |
to understand the | 24 |
prevention and control | 24 |
on the one | 24 |
the transmission of | 24 |
adopt epidemic prevention | 23 |
to analyze the | 23 |
the one hand | 23 |
is defined as | 23 |
with the increase | 23 |
the infection rate | 23 |
in case of | 23 |
of the total | 23 |
the rate of | 23 |
response to the | 23 |
to adopt epidemic | 23 |
the peak of | 23 |
show that the | 23 |
number of people | 22 |
characteristics of the | 22 |
some of the | 22 |
epidemic spreading and | 22 |
on the spread | 22 |
focus on the | 22 |
in a population | 22 |
people in the | 22 |
this version posted | 22 |
the severity of | 22 |
corresponds to the | 22 |
to model the | 22 |
of infected individuals | 22 |
of a disease | 22 |
the author funder | 21 |
the preprint in | 21 |
as a function | 21 |
medrxiv a license | 21 |
the two regions | 21 |
in the two | 21 |
display the preprint | 21 |
changes in the | 21 |
the study of | 21 |
to have a | 21 |
important role in | 21 |
to identify the | 21 |
to evaluate the | 21 |
granted medrxiv a | 21 |
a result of | 21 |
which was not | 21 |
who has granted | 21 |
the h n | 21 |
copyright holder for | 21 |
the ebola virus | 21 |
in the absence | 21 |
for public health | 21 |
in relation to | 21 |
license to display | 21 |
a license to | 21 |
of the number | 21 |
the ripple effect | 21 |
this is a | 21 |
of the sars | 21 |
the decay ratio | 21 |
than that of | 21 |
and information diffusion | 21 |
to display the | 21 |
shows that the | 21 |
holder for this | 21 |
has granted medrxiv | 21 |
is based on | 21 |
number of infections | 20 |
similar to the | 20 |
the novel coronavirus | 20 |
intensity of knowledge | 20 |
of the intervention | 20 |
of infected people | 20 |
increase in the | 20 |
the introduction of | 20 |
is shown in | 20 |
social distancing measures | 20 |
to reduce the | 20 |
emerging infectious diseases | 20 |
assume that the | 20 |
of social distancing | 20 |
the epidemic dynamics | 20 |
in recent years | 20 |
intention to adopt | 20 |
can also be | 20 |
the nature of | 20 |
respiratory syndrome coronavirus | 20 |
is given by | 20 |
basic reproduction number | 20 |
it should be | 19 |
the basic reproduction | 19 |
of coronavirus disease | 19 |
disease control and | 19 |
observed in the | 19 |
is related to | 19 |
the outbreak of | 19 |
to calculate the | 19 |
the range of | 19 |
control and prevention | 19 |
in hong kong | 19 |
in west africa | 19 |
early detection of | 19 |
on complex networks | 19 |
in the model | 19 |
diarrhea virus in | 19 |
stages of the | 19 |
in this section | 19 |
attitude toward epidemic | 19 |
affected by the | 19 |
can be seen | 19 |
of knowledge into | 19 |
is the number | 19 |
the first time | 19 |
of official policies | 19 |
number of the | 18 |
is the author | 18 |
increase of the | 18 |
function of the | 18 |
which can be | 18 |
knowledge into rumor | 18 |
found to be | 18 |
that there is | 18 |
early stages of | 18 |
of the lockdown | 18 |
what is the | 18 |
to control the | 18 |
spreading and information | 18 |
for the epidemic | 18 |
penetration intensity of | 18 |
on the sc | 18 |
in the community | 18 |
epidemic and the | 18 |
estimation of the | 18 |
of the ebola | 18 |
information about the | 18 |
a and b | 18 |
start of the | 18 |
in the first | 18 |
a modelling study | 18 |
and can be | 18 |
preparedness and response | 18 |
of a pandemic | 18 |
depend on the | 18 |
the design of | 18 |
the history of | 18 |
the availability of | 18 |
to be a | 18 |
to the number | 18 |
an epidemic is | 18 |
and online social | 18 |
the form of | 17 |
the th century | 17 |
the sc performance | 17 |
is used to | 17 |
on epidemic prevention | 17 |
number of individuals | 17 |
was used to | 17 |
the timing of | 17 |
can be found | 17 |
to explore the | 17 |
role in the | 17 |
peak of the | 17 |
the early stages | 17 |
it is possible | 17 |
the transmission rate | 17 |
with a large | 17 |
birth and death | 17 |
point of view | 17 |
of a new | 17 |
find that the | 17 |
toward epidemic outbreak | 17 |
the onset of | 17 |
partial least squares | 17 |
each of the | 17 |
structure of the | 17 |
transmission dynamics of | 17 |
the appearance of | 17 |
a range of | 17 |
is the most | 17 |
cumulative number of | 17 |
to determine the | 17 |
an increase in | 17 |
at that time | 17 |
the world health | 17 |
according to their | 17 |
is able to | 17 |
are shown in | 16 |
the average number | 16 |
on the decay | 16 |
in the last | 16 |
the accuracy of | 16 |
number of contacts | 16 |
it possible to | 16 |
between the two | 16 |
proportional to the | 16 |
the analysis of | 16 |
ratio of the | 16 |
to an epidemic | 16 |
on temporal networks | 16 |
word of mouth | 16 |
average number of | 16 |
of the second | 16 |
impact of covid | 16 |
genome sequence of | 16 |
spread of infectious | 16 |
of the whole | 16 |
of the time | 16 |
per cent of | 16 |
influence of the | 16 |
which is the | 16 |
time of the | 16 |
is necessary to | 16 |
an influenza pandemic | 16 |
shown in figure | 16 |
a systematic review | 16 |
there was no | 16 |
on online social | 16 |
each time step | 16 |
in our model | 16 |
the population of | 16 |
it is important | 16 |
to the first | 16 |
the s gene | 16 |
direct and indirect | 16 |
is difficult to | 16 |
virus in the | 16 |
there was a | 16 |
this is the | 16 |
the set of | 16 |
the infectivity of | 15 |
we show the | 15 |
this means that | 15 |
defined as the | 15 |
the ratio of | 15 |
transmission of the | 15 |
structural equation modeling | 15 |
so as to | 15 |
respiratory syncytial virus | 15 |
we do not | 15 |
to study the | 15 |
that is to | 15 |
the virus and | 15 |
epidemic outbreaks on | 15 |
indicates that the | 15 |
increases with the | 15 |
the concept of | 15 |
stage of the | 15 |
showed that the | 15 |
outbreaks on the | 15 |
proportion of the | 15 |
the need for | 15 |
nature of the | 15 |
the infected density | 15 |
as long as | 15 |
of people in | 15 |
the epidemic process | 15 |
data from the | 15 |
total epidemic size | 15 |
of the three | 15 |
by peer review | 15 |
wang et al | 15 |
of the sir | 15 |
the s protein | 15 |
first digit distribution | 15 |
the total population | 15 |
considered to be | 15 |
the ebola epidemic | 15 |
not certified by | 15 |
the ability to | 15 |
in the network | 15 |
the degree of | 15 |
was not certified | 15 |
epidemic in china | 15 |
density of the | 15 |
certified by peer | 15 |
case of the | 15 |
the control of | 15 |
be able to | 15 |
during the first | 15 |
of an outbreak | 15 |
bound on the | 15 |
of the influenza | 15 |
in the number | 15 |
during the outbreak | 15 |
we consider the | 15 |
complete genome sequence | 15 |
respect to the | 15 |
as in the | 15 |
fraction of infected | 15 |
a large number | 15 |
epidemic model with | 15 |
may not be | 14 |
and so on | 14 |
we refer to | 14 |
because of the | 14 |
of asymptomatic infectives | 14 |
an outbreak of | 14 |
of information diffusion | 14 |
have shown that | 14 |
effect on the | 14 |
onset of symptoms | 14 |
the black death | 14 |
to this end | 14 |
relationship between the | 14 |
in different countries | 14 |
the exponential growth | 14 |
of the th | 14 |
be noted that | 14 |
which is a | 14 |
with each other | 14 |
of the parameters | 14 |
close to the | 14 |
guidelines on epidemic | 14 |
associated with the | 14 |
for infectious disease | 14 |
epidemic spreading on | 14 |
we use the | 14 |
and the epidemic | 14 |
for pandemic influenza | 14 |
of the epidemics | 14 |
the epidemic period | 14 |
sis epidemic model | 14 |
the simulation results | 14 |
by the epidemic | 14 |
this is not | 14 |
development of the | 14 |
the model is | 14 |
in the field | 14 |
in public health | 14 |
the impacts of | 14 |
is assumed that | 14 |
cases in the | 14 |
than the first | 14 |
the magnitude and | 14 |
is the first | 14 |
are needed to | 14 |
probability that a | 14 |
the usage probability | 14 |
at least one | 14 |
probability of a | 14 |
epidemic threshold is | 14 |
period of time | 14 |
in the incubation | 14 |
of the pathogen | 14 |
is important to | 14 |
in northern italy | 14 |
the intensity of | 14 |
in the at | 14 |
of pandemic influenza | 14 |
in the next | 14 |
effects of the | 14 |
and disease information | 14 |
in the covid | 14 |
the final size | 14 |
the coronavirus disease | 14 |
the second wave | 14 |
is not a | 14 |
have been used | 14 |
effect of the | 14 |
the epidemic curve | 14 |
it is a | 14 |
it is assumed | 14 |
the management of | 14 |
was observed in | 14 |
and epidemic spreading | 14 |
we propose a | 14 |
different types of | 13 |
to public health | 13 |
impacts of epidemic | 13 |
may be used | 13 |
the structure of | 13 |
the twentieth century | 13 |
report of the | 13 |
and the number | 13 |
half of the | 13 |
the disease is | 13 |
rumor and epidemic | 13 |
would like to | 13 |
dynamics and control | 13 |
will lead to | 13 |
the influenza season | 13 |
rumor and knowledge | 13 |
this this version | 13 |
the association between | 13 |
different values of | 13 |
they do not | 13 |
has not been | 13 |
the public health | 13 |
a combination of | 13 |
a second wave | 13 |
epidemic spread in | 13 |
to find the | 13 |
model for the | 13 |
allows us to | 13 |
in the us | 13 |
of cases and | 13 |
are used to | 13 |
at each time | 13 |
history of the | 13 |
in the second | 13 |
is to say | 13 |
in the contact | 13 |
influenced by the | 13 |
of disease and | 13 |
the nineteenth century | 13 |
reproduction number of | 13 |
parts of the | 13 |
influence of official | 13 |
the outcome of | 13 |
and to the | 13 |
taking into account | 13 |
to that of | 13 |
the contact network | 13 |
it is necessary | 13 |
over the whole | 13 |
terms of the | 13 |
to characterize the | 13 |
the epidemic size | 13 |
the infected population | 13 |
the epidemiology of | 13 |
be caused by | 13 |
for the covid | 13 |
the language categories | 13 |
for a long | 13 |
there is an | 13 |
the cumulative number | 13 |
they found that | 13 |
when the epidemic | 13 |
transmissible gastroenteritis virus | 13 |
outbreak in china | 13 |
store infection threat | 13 |
caused by a | 13 |
our model is | 13 |
early phase of | 13 |
in the future | 13 |
should be noted | 13 |
across the world | 13 |
node v i | 13 |
appears to be | 13 |
and it is | 13 |
v i is | 13 |
the transmission dynamics | 13 |
there has been | 13 |
lower than the | 13 |
the response to | 13 |
the early phase | 13 |
members of the | 13 |
role of the | 13 |
we focus on | 13 |
as a consequence | 13 |
the age of | 13 |
the chinese government | 13 |
it is the | 13 |
preprint in perpetuity | 12 |
resulting in a | 12 |
is possible to | 12 |
of the entire | 12 |
influence on the | 12 |
the authors declare | 12 |
the population distribution | 12 |
a case study | 12 |
jung et al | 12 |
case fatality rate | 12 |
the functional configuration | 12 |
of severe acute | 12 |
this was the | 12 |
it is also | 12 |
the average epidemic | 12 |
the implementation of | 12 |
with the same | 12 |
with community structure | 12 |
the interplay between | 12 |
taken into account | 12 |
of the state | 12 |
reduction in transmission | 12 |
inflow from wuhan | 12 |
early in the | 12 |
shown in the | 12 |
fraction of the | 12 |
in the public | 12 |
play an important | 12 |
on social media | 12 |
results of the | 12 |
a period of | 12 |
in the literature | 12 |
of the current | 12 |
population inflow from | 12 |
a susceptible node | 12 |
assumed that the | 12 |
the cause of | 12 |
outbreak in the | 12 |
its impact on | 12 |
information diffusion and | 12 |
the most effective | 12 |
in other countries | 12 |
the theory of | 12 |
consistent with the | 12 |
to deal with | 12 |
the whole population | 12 |
an infected individual | 12 |
cent of the | 12 |
the parameters of | 12 |
epidemic can be | 12 |
of those who | 12 |
three social epidemics | 12 |
in the course | 12 |
the behaviour of | 12 |
is the same | 12 |
of the s | 12 |
each of these | 12 |
economic connection intensity | 12 |
rate of the | 12 |
least squares structural | 12 |
shown in table | 12 |
to account for | 12 |
due to a | 12 |
to the covid | 12 |
severity of the | 12 |
the current pandemic | 12 |
morbidity and mortality | 12 |
diseases such as | 12 |
squares structural equation | 12 |
the prevalence of | 12 |
the disease information | 12 |
we need to | 12 |
the assumption that | 12 |
estimates of the | 12 |
in epidemic control | 12 |
with recurrent mobility | 12 |
the first wave | 12 |
value of a | 12 |
whether or not | 12 |
spatial correlation characteristics | 12 |
based on a | 12 |
form of the | 12 |
social and economic | 12 |
to the disease | 12 |
in this work | 12 |
in the area | 12 |
for this preprint | 12 |
the spreading of | 12 |
two types of | 12 |
to obtain the | 12 |
an analysis of | 12 |
first time in | 12 |
in this way | 12 |
diffusion of knowledge | 12 |
in the transmission | 12 |
international spread of | 12 |
in the presence | 12 |
rather than the | 11 |
of all the | 11 |
the epidemic has | 11 |
pattern of the | 11 |
an infectious disease | 11 |
to examine the | 11 |
hair et al | 11 |
for the number | 11 |
timing of the | 11 |
social media and | 11 |
properties of the | 11 |
the characteristics of | 11 |
emergence of a | 11 |
layer network is | 11 |
of this paper | 11 |
to improve the | 11 |
the virus is | 11 |
number of contagious | 11 |
measures on the | 11 |
is smaller than | 11 |
use of the | 11 |
the face of | 11 |
the most common | 11 |
can be obtained | 11 |
of the susceptible | 11 |
dynamics of epidemic | 11 |
may lead to | 11 |
in the dangs | 11 |
it is more | 11 |
the early stage | 11 |
the adivasis of | 11 |
liu et al | 11 |
as soon as | 11 |
during an outbreak | 11 |
that they have | 11 |
the infection probability | 11 |
for an epidemic | 11 |
to quantify the | 11 |
the efficiency of | 11 |
results show that | 11 |
second wave of | 11 |
disease information diffusion | 11 |
with degree k | 11 |
the same as | 11 |
sequence of a | 11 |
the reproduction number | 11 |
be the most | 11 |
many of the | 11 |
figure shows the | 11 |
prior epidemic experience | 11 |
of epidemic spread | 11 |
of infection and | 11 |
incubation period of | 11 |
it is made | 11 |
referred to as | 11 |
i pf j | 11 |
for each of | 11 |
the rest of | 11 |
of transmission and | 11 |
international license it | 11 |
during the early | 11 |
is less than | 11 |
hospitalizations and deaths | 11 |
processes in complex | 11 |
a role in | 11 |
the who method | 11 |
recurrent mobility pattern | 11 |
the whole country | 11 |
in contrast to | 11 |
knowledge of the | 11 |
after onset of | 11 |
public health interventions | 11 |
the tendency of | 11 |
the areas of | 11 |
the penetration intensity | 11 |
of the public | 11 |
parameters of the | 11 |
the case in | 11 |
led to the | 11 |
the epidemic was | 11 |
the general public | 11 |
the same way | 11 |
it is difficult | 11 |
the sum of | 11 |
license it is | 11 |
the first one | 11 |
there are two | 11 |
state of the | 11 |
a lack of | 11 |
of infected cases | 11 |
number of deaths | 11 |
available under a | 11 |
the majority of | 11 |
is made available | 11 |
pf i pf | 11 |
the small intestine | 11 |
included in the | 11 |
the goal of | 11 |
the severe acute | 11 |
the capacity of | 11 |
primary care system | 11 |
the fight against | 11 |
transmission dynamics and | 11 |
is similar to | 11 |
of the novel | 11 |
epidemics on networks | 11 |
the pairwise approach | 11 |
the most important | 11 |
we used the | 11 |
smaller than the | 11 |
to understand how | 11 |
and severity of | 11 |
of this study | 11 |
that the disease | 11 |
to the real | 11 |
the mc model | 11 |
the detection of | 11 |
and that the | 11 |
to simulate the | 11 |
the process of | 11 |
occurred in the | 11 |
shown that the | 11 |
was the case | 11 |
li et al | 11 |
a long time | 11 |
in this model | 11 |
to compare the | 11 |
there will be | 11 |
basic reproductive number | 11 |
all of the | 11 |
in what follows | 11 |
the infection is | 11 |
model of the | 11 |
epidemic processes in | 11 |
presence of a | 11 |
from january to | 11 |
in real time | 11 |
downstream the sc | 11 |
do not have | 11 |
were able to | 11 |
center for disease | 11 |
made available under | 11 |
in primary care | 11 |
the information diffusion | 11 |
caused by the | 11 |
of social media | 11 |
so that the | 11 |
the first digit | 11 |
the mem method | 11 |
the numbers of | 11 |
of a second | 11 |
it may be | 11 |
of control measures | 11 |
of ebola virus | 11 |
been used to | 11 |
compared with the | 11 |
the median delay | 11 |
allowed to vary | 10 |
the current covid | 10 |
of the main | 10 |
spread of covid | 10 |
epidemic in wuhan | 10 |
of the final | 10 |
of epidemics and | 10 |
into the epidemic | 10 |
org journal rspb | 10 |
moving epidemic method | 10 |
networks epidemic spreading | 10 |
information on the | 10 |
epidemic dynamics on | 10 |
the rise of | 10 |
that it was | 10 |
as for the | 10 |
x and x | 10 |
after the epidemic | 10 |
population of the | 10 |
should be considered | 10 |
individuals in the | 10 |
length of the | 10 |
the awareness of | 10 |
has been reported | 10 |
a total of | 10 |
authors declare that | 10 |
model based on | 10 |
to investigate the | 10 |
the likelihood of | 10 |
of the average | 10 |
is consistent with | 10 |
after the first | 10 |
may be a | 10 |
spread of disease | 10 |
the proposed model | 10 |
of contagious people | 10 |
of the country | 10 |
public health and | 10 |
to be more | 10 |
of the system | 10 |
epidemic threshold and | 10 |
the results in | 10 |
the lack of | 10 |
view of the | 10 |
a population of | 10 |
result of the | 10 |
the ib model | 10 |
the results are | 10 |
during the initial | 10 |
number of confirmed | 10 |
have to be | 10 |
control of the | 10 |
aware of the | 10 |
china except hubei | 10 |
of infected nodes | 10 |
of the contact | 10 |
of awareness on | 10 |
how the epidemic | 10 |
wide range of | 10 |
the potential to | 10 |
of this research | 10 |
the mediation effect | 10 |
the mortality rate | 10 |
down the epidemic | 10 |
the behavior of | 10 |
water and sanitation | 10 |
tendency of the | 10 |
to the data | 10 |
slow down the | 10 |
leads to a | 10 |
a reduction in | 10 |
to the virus | 10 |
the critical value | 10 |
seems to be | 10 |
of new infections | 10 |
be divided into | 10 |
have been reported | 10 |
journal rspb proc | 10 |
of the underlying | 10 |
can be observed | 10 |
critical infection probability | 10 |
on the number | 10 |
the main text | 10 |
the aim of | 10 |
infectious diseases have | 10 |
to mitigate the | 10 |
clinical characteristics of | 10 |
in the late | 10 |
of epidemic propagation | 10 |
who do not | 10 |
and impact of | 10 |
eradicate the epidemic | 10 |
serial interval of | 10 |
the intervention is | 10 |
we consider a | 10 |
medical facilities conditions | 10 |
we want to | 10 |
the interaction between | 10 |
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as epidemic villains | 10 |
in the real | 10 |
to the same | 10 |
more or less | 10 |
where there is | 10 |
case of a | 10 |
and duration of | 10 |
presence of the | 10 |
the infected and | 10 |
the definition of | 10 |
transmission and the | 10 |
epidemic threshold in | 10 |
the application of | 10 |
the speed of | 10 |
economic impact of | 10 |
the benford distribution | 10 |
the relationship between | 10 |
and the use | 10 |
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fact that the | 10 |
of being infected | 10 |
were used to | 10 |
east respiratory syndrome | 10 |
there are no | 10 |
to some extent | 10 |
is more likely | 10 |
extent to which | 10 |
for all the | 10 |
s and s | 10 |
the herd immunity | 10 |
a is the | 10 |
which in turn | 10 |
the ebola outbreak | 10 |
can be easily | 10 |
number of secondary | 10 |
of a large | 10 |
transmission of covid | 10 |
mathematical theory of | 10 |
that epic m | 10 |
different regions of | 10 |
description of the | 10 |
ministry of health | 10 |
in our study | 10 |
from to days | 10 |
this is an | 10 |
the consequences of | 10 |
a few months | 10 |
are more likely | 10 |
this type of | 10 |
on the scs | 10 |
the propagation of | 10 |
of the spread | 10 |
on march th | 10 |
focused on the | 10 |
dynamics on complex | 10 |
and the impact | 10 |
be found in | 10 |
number of covid | 10 |
relevant to the | 10 |
risk of infection | 10 |
sections of the | 10 |
a h n | 10 |
across the globe | 10 |
can be applied | 10 |
we set the | 10 |
research on the | 10 |
symptomatic and asymptomatic | 10 |
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spatial and temporal | 10 |
there are many | 10 |
growth of the | 9 |
the epidemic prevalence | 9 |
the composite parameter | 9 |
by means of | 9 |
aspects of the | 9 |
for this this | 9 |
have been proposed | 9 |
the mathematical theory | 9 |
spread rate was | 9 |
the quarantine factor | 9 |
will not be | 9 |
held in place | 9 |
and medical facilities | 9 |
of the government | 9 |
to take into | 9 |
of the basic | 9 |
h n pandemic | 9 |
the choice of | 9 |
equal to the | 9 |
behavior of the | 9 |
the second one | 9 |
we can see | 9 |
focuses on the | 9 |
can be divided | 9 |
the suspended reality | 9 |
middle east respiratory | 9 |
investigate the impact | 9 |
different from the | 9 |
of the cumulative | 9 |
the basic reproductive | 9 |
cases and deaths | 9 |
since the s | 9 |
higher than the | 9 |
as can be | 9 |
positive impact on | 9 |
the economic impact | 9 |
the three social | 9 |
review of the | 9 |
could be used | 9 |
in a given | 9 |
models of the | 9 |
the s and | 9 |
the united kingdom | 9 |
the occurrence of | 9 |
in social networks | 9 |
in this area | 9 |
the world have | 9 |
spreading in scale | 9 |
from that of | 9 |
detection of porcine | 9 |
corresponding to the | 9 |
the chance of | 9 |
behaviour of the | 9 |
which may be | 9 |
has been the | 9 |
the us outbreak | 9 |
as compared to | 9 |
the ongoing covid | 9 |
between individuals and | 9 |
consequences of the | 9 |
the population is | 9 |
of differential equations | 9 |
epidemic spreading process | 9 |
be difficult to | 9 |
which are not | 9 |
on epidemic outbreaks | 9 |
the question of | 9 |
there are also | 9 |
the infected individuals | 9 |
that the number | 9 |
results of a | 9 |
infectious diseases and | 9 |
addition to the | 9 |
an infected traveler | 9 |
on the impact | 9 |
toward an epidemic | 9 |
estimated by the | 9 |
of the quarantine | 9 |
suspended reality phase | 9 |
networked population with | 9 |
asymptomatic and symptomatic | 9 |
number of new | 9 |
is found to | 9 |
a local epidemic | 9 |
on the dynamics | 9 |
measures such as | 9 |
as a whole | 9 |
can be interpreted | 9 |
has to be | 9 |
networks with community | 9 |
rest of the | 9 |
the scope of | 9 |
in an epidemic | 9 |
of the research | 9 |
a variety of | 9 |
but it is | 9 |
is clear that | 9 |
in the small | 9 |
ways in which | 9 |
of the us | 9 |
usage probability of | 9 |
period of the | 9 |
the acceptance phase | 9 |
upper bound on | 9 |
in the present | 9 |
at the start | 9 |
in china and | 9 |
version posted june | 9 |
the spatial and | 9 |
note that the | 9 |
the ib approach | 9 |
of asymptomatic cases | 9 |
and it was | 9 |
of a population | 9 |
in social media | 9 |
to illustrate the | 9 |
among elderly people | 9 |
of an infectious | 9 |
exponential growth rate | 9 |
intentionally directing attacks | 9 |
countries that have | 9 |
the moving epidemic | 9 |
deletion in the | 9 |
differences in the | 9 |
in real networks | 9 |
this can be | 9 |
to break out | 9 |
an example of | 9 |
per cent for | 9 |
been shown to | 9 |
the recovery rate | 9 |
the data of | 9 |
preprint this version | 9 |
reduce the number | 9 |
final epidemic size | 9 |
of epidemic control | 9 |
a novel coronavirus | 9 |
shown to be | 9 |
in the form | 9 |
given by the | 9 |
awareness of the | 9 |
monte carlo simulation | 9 |
majority of the | 9 |
of epidemic protection | 9 |
as the epidemic | 9 |
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a major epidemic | 9 |
described by the | 9 |
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to measure the | 9 |
the example of | 9 |
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the initial number | 9 |
when it is | 9 |
to the development | 9 |
of influenza in | 9 |
social presence during | 9 |
a wide range | 9 |
the epidemic outbreaks | 9 |
social distancing and | 9 |
that an infected | 9 |
epidemic thresholds in | 9 |
be seen from | 9 |
interpretation of the | 9 |
the need to | 9 |
of h n | 9 |
the epidemic will | 9 |
of virus transmission | 9 |
data of the | 9 |
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to increase the | 9 |
member of the | 9 |
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initial number of | 9 |
large numbers of | 9 |
expected number of | 9 |
of epidemic disease | 9 |
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age and gender | 9 |
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who have been | 9 |
correspond to the | 9 |
the states of | 9 |
diarrhoea virus in | 9 |
a lot of | 9 |
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of the individuals | 9 |
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it is clear | 9 |
starting from the | 9 |
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the influenza epidemic | 9 |
this preprint this | 9 |
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response to epidemics | 9 |
us pedv strains | 9 |
of the results | 9 |
directing attacks against | 9 |
on the population | 9 |
response to an | 9 |
of the adivasis | 9 |
epidemic outbreak in | 9 |
of this work | 9 |
less likely to | 9 |
study of the | 9 |
can be described | 9 |
of pedv in | 9 |
day of the | 9 |
and prevention of | 9 |
assessment of the | 9 |
the spectral radius | 9 |
the threat of | 9 |
local spatial correlation | 9 |
the critical infection | 9 |
very close to | 9 |
but also on | 9 |
of our study | 9 |
of the above | 9 |
spread of a | 9 |
data on the | 9 |
to contain the | 9 |
of infected travelers | 8 |
the disease in | 8 |
they are not | 8 |
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the infection and | 8 |
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high level of | 8 |
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we present the | 8 |
a part of | 8 |
dependent on the | 8 |
magnitude and intensity | 8 |
the default model | 8 |
the disease will | 8 |
the health system | 8 |
the period of | 8 |
the daily incidence | 8 |
infection threat has | 8 |
a matter of | 8 |
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ivanov et al | 8 |
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plays an important | 8 |
the expected number | 8 |
awareness on epidemic | 8 |
the scientific community | 8 |
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the epidemic growth | 8 |
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driven adaptive process | 8 |
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the inflection point | 8 |
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propagation of the | 8 |
epidemic protection and | 8 |
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such that the | 8 |
the strength of | 8 |
natural language processing | 8 |
public health systems | 8 |
the scale of | 8 |
of dengue fever | 8 |
n m e | 8 |
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the largest eigenvalue | 8 |
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static and dynamic | 8 |
the general population | 8 |
can be explained | 8 |
the reduction in | 8 |
epidemic threshold for | 8 |
epidemic size and | 8 |
pandemic influenza a | 8 |
some of these | 8 |
other parts of | 8 |
as spreaders of | 8 |
tended to be | 8 |
influenza a h | 8 |
and social distancing | 8 |
and forecasting the | 8 |
appear to be | 8 |
to explain the | 8 |
results in a | 8 |
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the dynamic equations | 8 |
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the disease was | 8 |
our understanding of | 8 |
and h n | 8 |
of product functions | 8 |
population with recurrent | 8 |
of epidemic outbreak | 8 |
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n m n | 8 |
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national and international | 8 |
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effect of control | 8 |
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part of a | 8 |
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m n m | 8 |
infected population in | 8 |
decrease in the | 8 |
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of the a | 8 |
a public health | 8 |
and transmission of | 8 |
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in mainland china | 8 |
total population of | 8 |
of supply chain | 8 |
because it is | 8 |
based influence factors | 8 |
model can be | 8 |
a susceptible individual | 8 |
means that the | 8 |
are difficult to | 8 |
the product of | 8 |
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result in a | 8 |
the upper bound | 8 |
to make the | 8 |
change in the | 8 |
and the united | 8 |
that of a | 8 |
was the first | 8 |
the spreading dynamics | 8 |
the epidemic season | 8 |
could not be | 8 |
the virulence of | 8 |
in the who | 8 |
in hubei and | 8 |
as opposed to | 8 |
areas were located | 8 |
on multiplex networks | 8 |
with and without | 8 |
under a is | 8 |
origin of the | 8 |
data collection and | 8 |
be applied to | 8 |
the adaptable design | 8 |
is also the | 8 |
a review of | 8 |
the advantage of | 8 |
implications for the | 8 |
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assumed to be | 8 |
this paper is | 8 |
bmj global health | 8 |
in china the | 8 |
the efficacy of | 8 |
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were reported in | 8 |
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and response to | 8 |
to respond to | 8 |
and intensity of | 8 |
were located in | 8 |
has positive impact | 8 |
of disease in | 8 |
a mathematical model | 8 |
of our model | 8 |
extension of the | 8 |
the entire population | 8 |
outcomes of the | 8 |
other types of | 8 |
time evolution of | 8 |
free networks with | 8 |
impact of awareness | 8 |
the reason for | 8 |
and its impact | 8 |
a source of | 8 |
and the infection | 8 |
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we have to | 8 |
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not depend on | 8 |
of the superspreaders | 8 |
of epidemic prevention | 8 |
model to describe | 8 |
this work was | 8 |
results indicate that | 8 |
early transmission dynamics | 8 |
is set as | 8 |
virus disease in | 8 |
of cases in | 8 |
the refusal phase | 8 |
the height of | 8 |
the endemic equilibrium | 8 |
component of the | 8 |
found in the | 8 |
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to consider the | 8 |
systematic review of | 8 |
we study the | 8 |
used to model | 8 |
as an example | 8 |
the serial interval | 8 |
for the detection | 8 |
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we compare the | 8 |
the burden of | 8 |
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are the most | 8 |
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the results for | 8 |
it will be | 8 |
and spread of | 8 |
at the early | 8 |
diarrhea virus strains | 8 |
on the contrary | 8 |
makes it possible | 8 |
of the dynamics | 8 |
peak in the | 8 |
the healthcare system | 8 |
for the most | 8 |
and effectiveness of | 8 |
the study was | 8 |
health of morocco | 8 |
by the who | 8 |
prior epidemic exposure | 8 |
and found that | 8 |
in the world | 8 |
the death rate | 8 |
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diffusion and epidemic | 8 |
and the time | 8 |
in many cases | 8 |
according to a | 8 |
calculated probability of | 8 |
what are the | 8 |
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the identification of | 8 |
to eradicate the | 8 |
declare that they | 8 |
ili patients among | 7 |
an epidemic and | 7 |
centers for disease | 7 |
number of links | 7 |
the potential domestic | 7 |
account for the | 7 |
the dummy variable | 7 |
since the epidemic | 7 |
and contact tracing | 7 |
of the simulation | 7 |
does not affect | 7 |
strength of the | 7 |
time since infection | 7 |
be associated with | 7 |
to the one | 7 |
is one of | 7 |
border control measures | 7 |
upper limit of | 7 |
when the number | 7 |
of epidemic threshold | 7 |
an adaptive network | 7 |
value of k | 7 |
during the sars | 7 |
the absolute value | 7 |
in the system | 7 |
to stop the | 7 |
the disease spreading | 7 |
equilibrium number of | 7 |
analysis of epidemic | 7 |
mixing on outcomes | 7 |
and thus the | 7 |
the forest region | 7 |
epidemic prevention is | 7 |
in most of | 7 |
the performance of | 7 |
the primary care | 7 |
and porcine epidemic | 7 |
in all the | 7 |
epidemic dynamics and | 7 |
dynamics on the | 7 |
the case for | 7 |
followed by the | 7 |
of this article | 7 |
propagation in the | 7 |
the seasonal threshold | 7 |
on porcine epidemic | 7 |
on the covid | 7 |
in the u | 7 |
represents the number | 7 |
is not yet | 7 |
in different stages | 7 |
about the epidemic | 7 |
a large fraction | 7 |
not affect the | 7 |
in this context | 7 |
number of susceptible | 7 |
the first peak | 7 |
hubei and china | 7 |
overview of the | 7 |
of the response | 7 |
out to be | 7 |
and do not | 7 |
to try to | 7 |
simulation results and | 7 |
the result of | 7 |
of epidemic in | 7 |
can be a | 7 |
the cb and | 7 |
the network is | 7 |
out of the | 7 |
the infected nodes | 7 |
and ib models | 7 |
data for the | 7 |
the magnitude of | 7 |
research part e | 7 |
originating in wuhan | 7 |
on the health | 7 |
may be more | 7 |
time of writing | 7 |
on outcomes of | 7 |
of south gujarat | 7 |
within and between | 7 |
sensitivity and specificity | 7 |
the difference between | 7 |
epidemic in west | 7 |
on the analysis | 7 |
fuzzy rule induction | 7 |
of household anti | 7 |
region of the | 7 |
west african ebola | 7 |
that in the | 7 |
of a product | 7 |
the spatial distribution | 7 |
small number of | 7 |
responsible for the | 7 |
and may be | 7 |
is proportional to | 7 |
of infected neighbors | 7 |
the virus in | 7 |
the variation in | 7 |
reproduction number r | 7 |
on the network | 7 |
there were no | 7 |
to better understand | 7 |
of the group | 7 |
after the quarantine | 7 |
and its applications | 7 |
of the variables | 7 |
the quality of | 7 |
ncov outbreak originating | 7 |
results from the | 7 |
the health of | 7 |
are based on | 7 |
there may be | 7 |
of knowledge is | 7 |
of control strategies | 7 |
larger than the | 7 |
of new cases | 7 |
the epidemic reaches | 7 |
to the infection | 7 |
version posted august | 7 |
vertex v i | 7 |
social mixing on | 7 |
mobile phone data | 7 |
to develop an | 7 |
in this volume | 7 |
be due to | 7 |
on how the | 7 |
people aged or | 7 |
the dependence of | 7 |
date of the | 7 |
supported by the | 7 |
we calculate the | 7 |
probability that an | 7 |
the cost of | 7 |
the population and | 7 |
vigilance to the | 7 |
a model for | 7 |
the real world | 7 |
the matching degree | 7 |
the public vigilance | 7 |
human and animal | 7 |
rate and the | 7 |
for the second | 7 |
exponential growth of | 7 |
different from that | 7 |
the human population | 7 |
the case with | 7 |
elt service level | 7 |
to reduce social | 7 |
predict the tendency | 7 |
of asymptomatic carriers | 7 |
in the previous | 7 |
public health measures | 7 |
of the past | 7 |
transmission dynamics in | 7 |
the time the | 7 |
ebola outbreak in | 7 |
value for the | 7 |
diffusion of information | 7 |
derivation of the | 7 |
of nonpharmaceutical interventions | 7 |
indicate that the | 7 |
of the critical | 7 |
this is because | 7 |
of an influenza | 7 |
a member of | 7 |
that may be | 7 |
time in the | 7 |
high risk of | 7 |
data that are | 7 |
such as ebola | 7 |
information diffusion on | 7 |
refer to the | 7 |
outbreak originating in | 7 |
early presentation of | 7 |
in sierra leone | 7 |
epidemic disease on | 7 |
social presence and | 7 |
those of the | 7 |
scale of the | 7 |
in such a | 7 |
a new wave | 7 |
pandemic in the | 7 |
is no longer | 7 |
and how to | 7 |
carried out in | 7 |
features of the | 7 |
the supply chain | 7 |
influenza pandemic in | 7 |
even if the | 7 |
to the case | 7 |
transmission and control | 7 |
and indirect effects | 7 |
in the whole | 7 |
was based on | 7 |
the next section | 7 |
strain of porcine | 7 |
pneumonia in china | 7 |
the past days | 7 |
diarrhea virus strain | 7 |
epidemic control in | 7 |
have been in | 7 |
of animals as | 7 |
isolation of porcine | 7 |
a case of | 7 |
are as follows | 7 |
in random networks | 7 |
is needed to | 7 |
is found that | 7 |
phylogenetic analysis of | 7 |
patients among all | 7 |
version of the | 7 |
is located in | 7 |
the sensitivity of | 7 |
transmission of sars | 7 |
management of epilepsy | 7 |
has been shown | 7 |
removed from the | 7 |
raise the epidemic | 7 |
they have no | 7 |
to provide a | 7 |
effectiveness of the | 7 |
of a network | 7 |
adaptable design method | 7 |
suggests that the | 7 |
the point of | 7 |
january to february | 7 |
of the nineteenth | 7 |
mitigate the impact | 7 |
of complex networks | 7 |
of the effect | 7 |
hypothesized the following | 7 |
public vigilance to | 7 |
the final epidemic | 7 |
transmission of pedv | 7 |
the next pandemic | 7 |
in the development | 7 |
stevenson et al | 7 |
the notion of | 7 |
well as a | 7 |
of sars in | 7 |
epidemic outbreak threshold | 7 |
not only the | 7 |
the peak in | 7 |
the relationships between | 7 |
attitudes toward an | 7 |
growth rate of | 7 |
forecasting the potential | 7 |
the initial phase | 7 |
factors such as | 7 |
when there are | 7 |
be interpreted as | 7 |
of the daily | 7 |
the final state | 7 |
widely used in | 7 |
and the role | 7 |
control strategies to | 7 |
is higher than | 7 |
reduce social mixing | 7 |
herd immunity threshold | 7 |
pensaert and de | 7 |
sequence analysis of | 7 |
potential domestic and | 7 |
the population in | 7 |
proved to be | 7 |
to the ebola | 7 |
such as a | 7 |
speed of epidemic | 7 |
in this figure | 7 |
the extent to | 7 |
disease transmission and | 7 |
models have been | 7 |
in time and | 7 |
the whole epidemic | 7 |
identified as the | 7 |
probability of product | 7 |
vaccine is available | 7 |
of the region | 7 |
infectious diseases in | 7 |
and v j | 7 |
the state vector | 7 |
strain of influenza | 7 |
and in particular | 7 |
number of users | 7 |
the class of | 7 |
with a total | 7 |
domestic and international | 7 |
impact of a | 7 |
the susceptibility of | 7 |
due to their | 7 |
pigs of all | 7 |
for a given | 7 |
the increase in | 7 |
the heart of | 7 |
human animals as | 7 |
by epidemic year | 7 |
and de bouck | 7 |
to have been | 7 |
and china except | 7 |
function of time | 7 |
the first epidemic | 7 |
the quarantine period | 7 |
the disease transmission | 7 |
to develop a | 7 |
individuals who are | 7 |
of the national | 7 |
the trend of | 7 |
has led to | 7 |
can be achieved | 7 |
a more detailed | 7 |
may also be | 7 |
used as a | 7 |
this paper we | 7 |
an epidemic model | 7 |
of the next | 7 |
disease on networks | 7 |
in the analysis | 7 |
mortality rate of | 7 |
in the human | 7 |
the early s | 7 |
theory of planned | 7 |
of population structure | 7 |
epidemics and the | 7 |
correlated with the | 7 |
of influenza a | 7 |
is due to | 7 |
it is found | 7 |
the input variables | 7 |
derived from the | 7 |
to be used | 7 |
health of the | 7 |
number of nodes | 7 |
intensity of the | 7 |
wave of epidemic | 7 |
chain of transmission | 7 |
those who have | 7 |
control of covid | 7 |
to changes in | 7 |
is the time | 7 |
epidemic in this | 7 |
transportation research part | 7 |
animals as epidemic | 7 |
days to peak | 7 |
threshold of epidemic | 7 |
of the initial | 7 |
public health authorities | 7 |
means the daily | 7 |
height of the | 7 |
of the duration | 7 |
social presence is | 7 |
characterization of the | 7 |
one can also | 7 |
of the coronavirus | 7 |
were found to | 7 |
the cure rate | 7 |
of epidemics in | 7 |
there are some | 7 |
involved in the | 7 |
effect of a | 7 |
the higher the | 7 |
the infection period | 7 |
and the world | 7 |
of the survey | 7 |
possibility of a | 7 |
a total population | 7 |
based on this | 7 |
used in this | 7 |
influenza surveillance in | 7 |
aged or above | 7 |
control of epidemics | 7 |
the available data | 7 |
strategies to reduce | 7 |
of confirmed cases | 7 |
control the epidemic | 7 |
the first outbreak | 7 |
spread of pandemic | 7 |
for at least | 7 |
number of days | 7 |
risk of transmission | 7 |
values of r | 7 |
of each individual | 7 |
and international spread | 7 |
to prevent the | 7 |
impact of epidemic | 7 |
a second peak | 7 |
the creative commons | 7 |
theory of epidemics | 7 |
k is the | 7 |
that between the | 7 |
and attitude toward | 7 |
the disease and | 7 |
but also the | 7 |
of the third | 7 |
among all outpatients | 7 |
our study results | 7 |
in the initial | 7 |
logistic growth model | 7 |
by the following | 7 |
towards epidemic prevention | 7 |
has been observed | 7 |
to reduce transmission | 7 |
among people aged | 7 |
we note that | 7 |
spine surgeons worldwide | 7 |
it to the | 7 |
in the history | 7 |
after the peak | 7 |
be used in | 7 |
characterized by a | 7 |
information diffusion can | 7 |
the source of | 7 |
the prevention and | 7 |
creative commons attribution | 7 |
may have been | 7 |
we hypothesized the | 7 |
been reported in | 7 |
the spread and | 7 |
cases per million | 7 |
the same for | 7 |
that this was | 7 |
to fit the | 7 |
economic and social | 7 |
the treatment of | 7 |
as the main | 7 |
believed to be | 7 |
digit distribution of | 6 |
bilateral pitting edema | 6 |
values of a | 6 |
the frequency of | 6 |
because of their | 6 |
to create a | 6 |
under which the | 6 |
or bilateral pitting | 6 |
product of the | 6 |
in table i | 6 |
trend between the | 6 |
upstream the sc | 6 |
solution of the | 6 |
put in place | 6 |
the virus spread | 6 |
from the infected | 6 |
spread of sars | 6 |
case study of | 6 |
health authorities and | 6 |
rate in the | 6 |
order to better | 6 |
agglutination to o | 6 |
epidemic of the | 6 |
be the same | 6 |
units of time | 6 |
figure has been | 6 |
at least two | 6 |
the effective reproduction | 6 |
sueyoshi et al | 6 |
behavior dynamics on | 6 |
the th of | 6 |
the epidemic may | 6 |
we learn from | 6 |
the state that | 6 |
attitude towards epidemic | 6 |
would be useful | 6 |
be taken into | 6 |
we stress that | 6 |
the growth of | 6 |
of human mobility | 6 |
of more than | 6 |
pcps in china | 6 |
of respondents reported | 6 |
from south korea | 6 |
epidemic is over | 6 |
at any time | 6 |
chinese center for | 6 |
we are interested | 6 |
with at least | 6 |
described in the | 6 |
yan et al | 6 |
in the country | 6 |
between the past | 6 |
from the s | 6 |
and infectious disease | 6 |
variations in the | 6 |
the epidemic are | 6 |
and does not | 6 |
social media data | 6 |
that the adivasis | 6 |
this figure has | 6 |
rate of infection | 6 |
results and the | 6 |
of partial least | 6 |
is greater than | 6 |
the epidemic angle | 6 |
is influenced by | 6 |
of respiratory syncytial | 6 |
median delay from | 6 |
spreading dynamics on | 6 |
dynamics in wuhan | 6 |
network is the | 6 |
is a significant | 6 |
as part of | 6 |
of the product | 6 |
the network topology | 6 |
to test the | 6 |
is only a | 6 |
and access to | 6 |
risk factors for | 6 |
supply chain network | 6 |
in new zealand | 6 |
we use a | 6 |
prevent the epidemic | 6 |
the properties of | 6 |
number of patients | 6 |
the diamond princess | 6 |
and control measures | 6 |
large set of | 6 |
with the number | 6 |
in guangdong province | 6 |
in the suspended | 6 |
was caused by | 6 |
it was not | 6 |
the situation of | 6 |
the situation in | 6 |
outbreak of the | 6 |
in networked population | 6 |
to facilitate the | 6 |
dynamic contact networks | 6 |
v i and | 6 |
which is consistent | 6 |
version of this | 6 |
of r max | 6 |
the timing and | 6 |
park et al | 6 |
to cope with | 6 |
as to the | 6 |
and the information | 6 |
a consequence of | 6 |
the assumption of | 6 |
the progress of | 6 |
led to a | 6 |
a new coronavirus | 6 |
of the society | 6 |
vary by epidemic | 6 |
all the more | 6 |
the perspective of | 6 |
at the peak | 6 |
in the process | 6 |
in this article | 6 |
for infectious diseases | 6 |
with a certain | 6 |
studies on the | 6 |
global health security | 6 |
belonging to the | 6 |
european centre for | 6 |
and out of | 6 |
case of covid | 6 |
in some countries | 6 |
use of social | 6 |
mathematics of infectious | 6 |
infection rate of | 6 |
each infected individual | 6 |
to protect themselves | 6 |
in the more | 6 |
which the epidemic | 6 |
the predicted results | 6 |
in the appendix | 6 |
to which the | 6 |
the attitude of | 6 |
and vice versa | 6 |
would have been | 6 |
infected and fatality | 6 |
believe that the | 6 |
version posted september | 6 |
transmission in the | 6 |
which is also | 6 |
is affected by | 6 |
referred to the | 6 |
of the cities | 6 |
model is the | 6 |
we find a | 6 |
of planned behavior | 6 |
infectious disease transmission | 6 |
to make sense | 6 |
on the spatial | 6 |
epidemiology and public | 6 |
quarantine factor q | 6 |
of the small | 6 |
when there is | 6 |
contact with the | 6 |
are related to | 6 |
the epidemic sustains | 6 |
fraction of users | 6 |
conditions of the | 6 |
of epidemics on | 6 |
for further details | 6 |
then the strain | 6 |
detection of pedv | 6 |
point at which | 6 |
similar to those | 6 |
the type of | 6 |
are used in | 6 |
over the world | 6 |
cluster areas were | 6 |
and a new | 6 |
infected in the | 6 |
it is no | 6 |
relative to the | 6 |
in all cases | 6 |
increases the median | 6 |
this study is | 6 |
creative commons licence | 6 |
public health problem | 6 |
can be calculated | 6 |
followed by a | 6 |
to the current | 6 |
contrast to the | 6 |
is assumed to | 6 |
in rural areas | 6 |
the solution of | 6 |
the delay is | 6 |
transition probability from | 6 |
the detection factors | 6 |
international health regulations | 6 |
are responsible for | 6 |
well as to | 6 |
from the perspective | 6 |
the long run | 6 |
to the present | 6 |
of the original | 6 |
average epidemic curve | 6 |
pf j is | 6 |
is used as | 6 |
decreases with the | 6 |
which we can | 6 |
is characterized by | 6 |
the time evolution | 6 |
for a more | 6 |
i and j | 6 |
burden of disease | 6 |
state that people | 6 |
to the population | 6 |
in certain industry | 6 |
in place for | 6 |
from the above | 6 |
epidemic diarrhea in | 6 |
is an important | 6 |
there is also | 6 |
is organized as | 6 |
rapid epidemic intelligence | 6 |
at least a | 6 |
may result in | 6 |
the topology of | 6 |
we would like | 6 |
of the situation | 6 |
seasonal epidemic characteristics | 6 |
the reduction of | 6 |
we analyze the | 6 |
above the threshold | 6 |
have not yet | 6 |
be observed in | 6 |
clinical features of | 6 |
in many countries | 6 |
from different countries | 6 |
and animal health | 6 |
organized as follows | 6 |
it is extremely | 6 |
denotes the state | 6 |
at the level | 6 |
the date of | 6 |
is composed of | 6 |
a new virus | 6 |
of information and | 6 |
and the public | 6 |
of emerging infectious | 6 |
of infected population | 6 |
disease carrier species | 6 |
it will also | 6 |
on an adaptive | 6 |
a focus on | 6 |
epidemic curves for | 6 |
personal protective equipment | 6 |
in this sense | 6 |
are associated with | 6 |
the time since | 6 |
of r t | 6 |
seen that the | 6 |
we compared the | 6 |
magnitude of the | 6 |
the network structure | 6 |
age of the | 6 |
with prior epidemic | 6 |
are known to | 6 |
in the adivasi | 6 |
refers to the | 6 |
have already been | 6 |
of the epidemiological | 6 |
the principle of | 6 |
there have been | 6 |
endemic equilibrium number | 6 |
this may be | 6 |
the growth rate | 6 |
does not depend | 6 |
are presented in | 6 |
r is the | 6 |
presentation of cases | 6 |
that if the | 6 |
intensity thresholds were | 6 |
even when the | 6 |
princess cruise ship | 6 |
the covid epidemic | 6 |
a collection of | 6 |
strains in the | 6 |
primary health care | 6 |
been used in | 6 |
weeks into the | 6 |
management of the | 6 |
of confined people | 6 |
the adoption of | 6 |
term impacts of | 6 |
has been used | 6 |
of confirmed covid | 6 |
corresponding to a | 6 |
long as the | 6 |
a global pandemic | 6 |
the whole period | 6 |
if this is | 6 |
in the past | 6 |
days of the | 6 |
to the public | 6 |
serve as a | 6 |
preprint the copyright | 6 |
along with the | 6 |
that the first | 6 |
the epidemic data | 6 |
disease and disease | 6 |
correlated transmission rates | 6 |
the average temperature | 6 |
we have shown | 6 |
with novel coronavirus | 6 |
suppress epidemic spreading | 6 |
was conducted in | 6 |
predictions of the | 6 |
the epidemic setting | 6 |
of the probability | 6 |
where this figure | 6 |
mediates the association | 6 |
all over the | 6 |
can be eradicated | 6 |
an approximating function | 6 |
the standard sir | 6 |
changes in response | 6 |
less than one | 6 |
is to be | 6 |
there are few | 6 |
analysis in the | 6 |
the purpose of | 6 |
in different contexts | 6 |
are unlikely to | 6 |
is the total | 6 |
the early outbreak | 6 |
influence factors of | 6 |
the deterministic continuous | 6 |
based on their | 6 |
attitude of the | 6 |
the public and | 6 |
and early detection | 6 |
of infection in | 6 |
the ib and | 6 |
been found to | 6 |
the prevention of | 6 |
with a mean | 6 |
response to covid | 6 |
the vector of | 6 |
population of n | 6 |
south korea and | 6 |
the threshold for | 6 |
in spite of | 6 |
of the health | 6 |
population in the | 6 |
course of an | 6 |
ib and cb | 6 |
the idea of | 6 |
no conflict of | 6 |
and per cent | 6 |
the strain is | 6 |
before and after | 6 |
case notification data | 6 |
the change of | 6 |
for the control | 6 |
epidemic may be | 6 |
of pedv has | 6 |
variation of the | 6 |
the seriousness of | 6 |
the coefficient of | 6 |
mc model is | 6 |
the lower the | 6 |
to discuss the | 6 |
psychological impact of | 6 |
of the emergence | 6 |
predictor of mortality | 6 |
dependence of the | 6 |
public health institutions | 6 |
infected by a | 6 |
of the nodes | 6 |
we derive the | 6 |
of the severity | 6 |
of influenza activity | 6 |
that the model | 6 |
introduction of the | 6 |
interval of the | 6 |
the global health | 6 |
the scs and | 6 |
millions of people | 6 |
the mode of | 6 |
a group of | 6 |
months after the | 6 |
reported confirmed cases | 6 |
the emergence and | 6 |
the last years | 6 |
a handful of | 6 |
the convergence of | 6 |
in a network | 6 |
in early modern | 6 |
the reproductive number | 6 |
the current situation | 6 |
is a constant | 6 |
the dark web | 6 |
control measures on | 6 |
number of asymptomatic | 6 |
to connect to | 6 |
study showed that | 6 |
countries of the | 6 |
disruption in china | 6 |
the population density | 6 |
the susceptible population | 6 |
epidemic spreading with | 6 |
severity of covid | 6 |
but also to | 6 |
on social networks | 6 |
can be identified | 6 |
to the time | 6 |
more difficult to | 6 |
that a node | 6 |
lessons from the | 6 |
of the pifs | 6 |
be greater than | 6 |
part in the | 6 |
the erg approach | 6 |
prevalence of malnutrition | 6 |
the potential for | 6 |
absolute value of | 6 |
h n in | 6 |
as it is | 6 |
as a key | 6 |
within the same | 6 |
of the i | 6 |
such as those | 6 |
affecting the epidemic | 6 |
is used for | 6 |
like to thank | 6 |
used to assess | 6 |
the roles of | 6 |