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
in the case of	62
in the context of	51
severe acute respiratory syndrome	38
on the other hand	36
the number of infected	36
the total number of	34
the number of individuals	32
as well as the	30
number of infected individuals	30
the average number of	29
the mean number of	26
in the absence of	25
a large number of	25
it is important to	24
number of susceptible individuals	23
to adopt epidemic prevention	23
on the number of	23
are more likely to	23
as a result of	22
one of the most	20
is the number of	20
the spread of the	20
in the united states	20
the context of the	20
of the number of	18
can be used to	18
spread of infectious diseases	17
the average effect of	17
the human natural kind	17
the number of cases	17
at the same time	17
and the number of	17
the spread of infectious	17
intention to adopt epidemic	16
at the beginning of	16
the size of the	16
the end of the	16
we assume that the	15
disease control and prevention	15
in the number of	15
the beginning of the	15
of the human natural	15
guidelines on epidemic prevention	14
the number of outbreaks	14
the spread of covid	14
the rate at which	14
that the number of	14
proposed in this paper	14
the number of susceptible	14
counterfactual grocery store locations	13
the basic reproductive ratio	13
for disease control and	13
the probability that a	13
as shown in fig	13
in the form of	13
the number of contacts	13
the role of the	13
of social media on	12
on the spread of	12
context of the nation	12
the impact of the	12
the world health organization	12
pattern of disturbance in	12
the difference between the	12
a small number of	12
at a distance of	12
on the outer ring	12
of an infectious disease	12
as a function of	12
in the incidental host	12
granted medrxiv a license	11
social media use and	11
we focus on the	11
medrxiv a license to	11
on the basis of	11
the preprint in perpetuity	11
relative cost of vaccination	11
who has granted medrxiv	11
to display the preprint	11
license to display the	11
as the number of	11
license it is made	11
international license it is	11
of the incubation period	11
the start of the	11
under a author funder	11
the fact that the	11
the contact tracing process	11
for the spread of	11
in the presence of	11
is made available under	11
it is made available	11
made available under a	11
of candidate treatment locations	11
the evolution of the	11
display the preprint in	11
a license to display	11
available under a author	11
has granted medrxiv a	11
is one of the	10
characteristic development and typical	10
is based on the	10
development and typical history	10
of severe acute respiratory	10
at the end of	10
employed and wage workers	10
the characteristic development and	10
with respect to the	10
start of the study	10
the proportion of self	10
the severe acute respiratory	10
of disturbance in the	10
effect of the treatment	10
of infected individuals in	10
we are interested in	10
the impact of social	10
to adopt preventive behavior	10
transmission from the reservoir	10
a fixed number of	10
the use of antibiotics	10
individuals in the population	10
the philosophy of medicine	10
as the kind of	10
on the likelihood of	10
cost of vaccination c	9
that there is no	9
for the number of	9
at the level of	9
the health status of	9
it is difficult to	9
a function of the	9
of this paper is	9
the variance of the	9
at the individual level	9
which was not peer	9
copyright holder for this	9
the copyright holder for	9
that is to say	9
with the help of	9
and its impact on	9
the basic reproduction number	9
on the one hand	9
the researcher is interested	9
to the number of	9
the candidate treatment locations	9
of social media use	9
it is possible that	9
of realized treatment locations	9
is organized as follows	9
is assumed to be	9
of the entrepreneurial process	9
self of a nation	9
holder for this preprint	9
researcher is interested in	9
infected individuals in the	9
an important role in	9
of individuals in the	9
the h n pandemic	9
the role of social	9
the nature of the	9
the effect of the	9
the kind of thing	9
the number of customers	9
the probability that the	9
and typical history of	9
the internal biological relations	9
of a natural kind	9
after a possible encounter	8
when there is a	8
the number of deaths	8
of thing that it	8
medicine and public health	8
are interested in the	8
in a way that	8
determine the characteristic development	8
the effect of self	8
use and entrepreneurial entry	8
in the field of	8
impact of social media	8
the case of sars	8
reach the epidemiological threshold	8
thing that it is	8
centers for disease control	8
media use and entrepreneurial	8
the relative cost of	8
average effect of the	8
the inverse of the	8
the structure of the	8
the mathematical theory of	8
mean number of outbreaks	8
members of the kind	8
in the study area	8
a wide range of	8
can be found in	8
a living natural kind	8
of a living natural	8
when the number of	8
the evolution of virulence	8
does not mean that	8
at the time of	8
a node of degree	8
that social media use	8
the spatial treatment setting	8
percentage of home isolation	8
the overall attack rate	8
the presence of a	8
in addition to the	8
the number of people	8
the results of the	8
to be able to	8
that determine the characteristic	8
the diffusion of influenza	8
node of degree k	8
the rest of the	8
kind of thing that	8
a crucial role in	8
human rights as a	8
the expected number of	8
the average treatment effect	8
the kinds of things	8
the pattern of disturbance	7
play an important role	7
disturbance in the internal	7
of grocery stores on	7
isolation and social distancing	7
the case of the	7
preventive behavior of individuals	7
candidate treatment locations are	7
contact with an infected	7
role of social media	7
the epidemiological dynamics of	7
effects of spatial treatments	7
is likely to be	7
the probability of outbreak	7
without loss of generality	7
the risk of infection	7
with an infected individual	7
the vaccine failure rate	7
to control the spread	7
in relation to the	7
is more likely to	7
the individuals in the	7
as the kinds of	7
spread of the disease	7
in a population with	7
control the spread of	7
in terms of the	7
number of individuals near	7
to the spread of	7
not be able to	7
number of people who	7
between social media use	7
are assumed to be	7
in the previous section	7
acute respiratory syndrome coronavirus	7
the inverse hyperbolic sine	7
members of the human	7
and counterfactual grocery store	7
is interested in the	7
the early stages of	7
the importance of the	7
in most of the	7
it is possible to	7
in the maasai mara	7
individuals at distance from	7
number of individuals in	7
framework of this paper	7
estimators proposed in this	7
of home isolation individuals	7
the adoption of preventive	7
things that they are	7
civil and political rights	7
in the internal biological	7
the probability for the	7
of things that they	7
the force of infection	7
suppose the researcher is	7
the remainder of this	7
the fraction of infected	7
only a small number	7
the parallel trends assumption	7
risk of being infected	7
each candidate treatment location	7
mobility of the people	7
employment on the likelihood	7
a pattern of disturbance	7
of the basic reproductive	7
individuals are more likely	7
the diffusion of preventive	7
the number of links	7
of the individual self	6
the estimators proposed in	6
real and counterfactual grocery	6
number of recovered individuals	6
to the development of	6
to the mathematical theory	6
i show how to	6
of the novel coronavirus	6
individuals with neurocognitive disorders	6
in the control group	6
the myopic update rule	6
the probability of treatment	6
employed workers in the	6
inverse hyperbolic sine of	6
the three diffusion processes	6
model that reflects the	6
the relationship between the	6
in the area of	6
symptoms of the disease	6
the spread of awareness	6
the likelihood of hospitalization	6
to reach the epidemiological	6
higher social media use	6
standard errors in parentheses	6
the i th excursion	6
inner and outer ring	6
internal biological relations of	6
process with individual birth	6
fraction of susceptible individuals	6
and the evolution of	6
the diffusion of information	6
epidemic prevention and control	6
a reduction in the	6
principles that determine the	6
at time step t	6
paper is organized as	6
the health of the	6
the diffusion of diseases	6
level in models and	6
the transmission from the	6
the nearest realized treatment	6
in the main text	6
from where this figure	6
theory of planned behavior	6
class of states of	6
individuals with adrd may	6
model to predict the	6
of multiple sexual contacts	6
is larger than the	6
infected and susceptible individuals	6
the basic reproductive number	6
from candidate treatment locations	6
over the course of	6
in close proximity to	6
the number of observed	6
the number of recovered	6
with regard to the	6
is equal to the	6
population density and flux	6
in the previous sections	6
more likely to be	6
the treatment on the	6
se se se se	6
is independent of the	6
difference between the two	6
the risk of being	6
under the assumption that	6
on the impact of	6
emergence of the pathogen	6
technological forecasting social change	6
stuttering chains of transmission	6
in this case the	6
realistic urban social networks	6
figure has been adapted	6
branching process with individual	6
the validity of the	6
and human preventive behavior	6
with individual birth rate	6
treatment effect on the	6
in the face of	6
unrealized candidate treatment locations	6
dynamics of infectious diseases	6
history of multiple sexual	6
real grocery store locations	6
of emerging infectious diseases	6
the effects of the	6
effect on the treated	6
studies have shown that	6
attitude towards epidemic prevention	6
the course of the	6
is the mean number	6
diffusion of preventive behavior	6
in the indian subcontinent	6
early stages of an	6
the effects of spatial	6
treatment on the treated	6
reduce the number of	6
as good as random	6
employment and wage work	6
kinds of things that	6
on the evolution of	6
mathematical theory of epidemics	6
the notion of the	6
adoption of preventive behavior	6
a history of multiple	6
the common heritage of	6
the reservoir and the	6
for a long time	6
can be approximated by	6
where this figure has	6
spreading of infectious diseases	6
the number of susceptibles	6
of the disease and	6
in realistic urban social	6
of average treatment effects	6
to the fact that	6
play a crucial role	6
prince of wales hospital	6
of states of affairs	6
the causal effects of	6
nearest realized treatment location	6
the mobility of the	6
in the first place	6
of infected individuals is	6
of the treatment on	6
on an outer ring	6
this figure has been	6
the framework of this	6
for the development of	6
it is not a	6
stages of an outbreak	6
outbreaks in realistic urban	6
average number of contacts	6
the self of a	6
as well as their	6
individuals on the outer	5
treatment locations that are	5
and the effect of	5
of the total population	5
conception or design of	5
of the node u	5
the number of treated	5
businesses on the outer	5
the effect of a	5
spread of the infection	5
infected individuals of the	5
the simple average of	5
that reflects the change	5
come in contact with	5
to one of the	5
a contribution to the	5
same state of affairs	5
at the population level	5
social media use on	5
for the sake of	5
as shown in table	5
have shown that the	5
is due to the	5
the relative importance of	5
the numerator of the	5
when the direct transmission	5
number of individuals at	5
it is easy to	5
of the propensity score	5
treatment is realized at	5
with low trust propensity	5
close to one another	5
the vast majority of	5
have been used to	5
of human rights as	5
set of candidate treatment	5
version to be published	5
the fraction of vaccinated	5
contribution to the mathematical	5
mean number of infected	5
recurrent emergence of the	5
the version to be	5
proximity to each other	5
information about the health	5
at the start of	5
can be represented as	5
about the health status	5
as illustrated in fig	5
the diffusion of disease	5
to the encounter location	5
self of the nation	5
be the most important	5
the combined effectiveness of	5
data for the work	5
its impact on epidemic	5
epidemic prevention is found	5
is the proportion of	5
is defined as the	5
with a proximity threshold	5
or design of the	5
to control the epidemic	5
in the sis model	5
takes value one if	5
the paper is organized	5
infection by the reservoir	5
antibiotic resistance genes in	5
to clustering at the	5
it is worth mentioning	5
as well as on	5
individuals in a dyad	5
to reach the threshold	5
modelling the influence of	5
in response to the	5
for individuals with adrd	5
it is assumed that	5
the number of connections	5
the initial number of	5
and the spread of	5
approval of the version	5
of the version to	5
in the study of	5
in the population and	5
the aim of this	5
only the nearest realized	5
and individual death rate	5
is based on a	5
in order to obtain	5
interested in the effect	5
the proportion of the	5
of data for the	5
close proximity to each	5
the ability of the	5
average degree of the	5
the preventive behavior of	5
that the probability of	5
proximity threshold of m	5
in spatial treatment settings	5
in the long run	5
infectious diseases of humans	5
to the inverse of	5
fraction of infected individuals	5
of the severe acute	5
the spread of an	5
an individual has a	5
of the markov chain	5
awareness and its impact	5
the conception or design	5
the case of a	5
of vaccine failure rate	5
the dynamics of the	5
a candidate treatment location	5
disease outbreaks in realistic	5
if the region is	5
final approval of the	5
to estimate the average	5
of an individual is	5
can be classified into	5
direct transmission between individuals	5
number of realized treatment	5
impact of the pandemic	5
in the use of	5
due to differences in	5
the number of infectious	5
social media on the	5
variance of the estimator	5
is worth mentioning that	5
number of new infections	5
to be the most	5
excursion to reach the	5
setting of this paper	5
explore the impact of	5
the analysis of the	5
number of infected neighbors	5
to the conception or	5
under the myopic update	5
a lower bound on	5
individuals of the node	5
dynamics and control of	5
realized treatment location matters	5
as well as in	5
a mathematical model for	5
response to the pandemic	5
at time t is	5
a global public good	5
this does not mean	5
a small fraction of	5
large number of susceptible	5
of infectious diseases in	5
to flourish as the	5
in the baseline setting	5
individuals and treatment locations	5
average effect of a	5
spread of awareness and	5
of infectious diseases has	5
of awareness and its	5
history of members of	5
total number of cases	5
perceived feasibility to adopt	5
the effectiveness of the	5
or interpretation of data	5
health and human rights	5
the prince of wales	5
of the potential outcomes	5
the outcome of interest	5
design of the work	5
and the total number	5
infectious diseases in humans	5
to account for the	5
it is clear that	5
impact on epidemic outbreaks	5
modelling disease outbreaks in	5
the application of this	5
interpretation of data for	5
distance from candidate treatment	5
social distancing to be	5
a completely randomized experiment	5
contributions to the conception	5
would not have been	5
has the advantage of	5
for individuals in the	5
lockdown and social distancing	5
from flourishing as the	5
in the sense that	5
the state of the	5
the most suitable return	5
reflects the change in	5
in the effect of	5
that needs to be	5
the level of the	5
an operational architecture for	5
for epidemic prevention and	5
of the pathogen to	5
may not be able	5
substantial contributions to the	5
number of cases in	5
is found to be	5
introduction of the infection	5
may not always be	5
in order to be	5
the use of the	5
the influence of human	5
a review of the	5
feasibility to adopt epidemic	5
as the total number	5
is the expected number	5
the idea of self	5
under the ideal experiment	5
a large fraction of	5
the time of the	5
in the same household	5
of members of the	5
number of contacts per	5
the theory of planned	5
number of individuals per	5
other members of the	5
the meaning of self	5
prevention is found to	5
a case study of	5
a high trust propensity	5
the recurrent emergence of	5
important to note that	5
is considered to be	5
fraction of vaccinated individuals	5
as can be seen	5
to differences in the	5
infectious diseases in general	5
the impact of human	4
is the difference between	4
the total population size	4
will need to be	4
of human behaviour on	4
in the next section	4
taking into account the	4
selection of the healthy	4
the epidemic starts to	4
we can estimate the	4
the spread of disease	4
of the importance of	4
and public health in	4
and the spillover transmission	4
need to be considered	4
population at time t	4
particular percentage of home	4
costs and benefits of	4
to inoculate the vaccine	4
the center of the	4
logarithm of hospitalization days	4
individuals with adrd and	4
transmission dynamics and control	4
transmission of the virus	4
the fraction of the	4
behaviour on the spread	4
are in close proximity	4
basic reproductive ratio r	4
in a particular day	4
total number of individuals	4
of this article is	4
one candidate treatment location	4
is able to infect	4
the authors found that	4
general and of ar	4
the role of individual	4
an individual can be	4
it may be possible	4
the origin of the	4
of individuals near treatment	4
remains neutral with regard	4
it is impossible to	4
in distance from treatment	4
the treatment has no	4
of infected in the	4
intention to adopt covid	4
the case where the	4
to heteroscedasticity and to	4
does not imply that	4
in terms of a	4
as well as a	4
a wide variety of	4
springer nature remains neutral	4
that the structure of	4
which can be found	4
with regard to jurisdictional	4
the influence of social	4
multiple sexual contacts and	4
transmission of infectious diseases	4
of the contact network	4
for the philosophy of	4
of the candidate treatment	4
a constant force of	4
probability of treatment at	4
diseases in general and	4
developed symptoms by time	4
rights of indigenous peoples	4
disease dynamics and control	4
treatment location per region	4
impact of the disease	4
number of contacts of	4
of the contact tracing	4
this could explain why	4
reliance in the context	4
the results show that	4
the distribution of the	4
of infected neighbors of	4
density function of the	4
of the pathogen from	4
is the dominant strategy	4
and antibiotic resistance genes	4
with the presence of	4
a pathogen barely contagious	4
prevention and control of	4
of the pandemic on	4
an individual member of	4
is given by the	4
of the network structure	4
of susceptibles at the	4
may be possible to	4
understand the nature of	4
vaccination behavior in social	4
at the prince of	4
the value of the	4
candidate treatment location per	4
that can only be	4
clustering at the individual	4
been found to be	4
robust to heteroscedasticity and	4
an increasing number of	4
university is located in	4
during the outbreak of	4
note springer nature remains	4
states of affairs of	4
interactions between male cheetahs	4
of the waking day	4
the same state of	4
can be used as	4
does not change the	4
the impact of information	4
at the short distance	4
for the fraction of	4
the inner ring vs	4
in the community may	4
small number of individuals	4
infected in the population	4
reach the threshold c	4
the outer ring are	4
in the case where	4
the direct transmission between	4
that the impact of	4
risk are predominantly infected	4
the population and the	4
in the evolution of	4
individuals are encouraged to	4
of the incidental host	4
network for infectious disease	4
a result of a	4
the health care system	4
in an era of	4
and the use of	4
a finite number of	4
candidate treatment location is	4
number of symptomatic individuals	4
weighted average treatment effect	4
is shown in fig	4
for the design of	4
average treatment effect on	4
the availability of data	4
for infectious disease transmission	4
on the epidemiological dynamics	4
the influence of the	4
as the average number	4
the realized treatment locations	4
of the infection by	4
to the notion of	4
of individuals at distance	4
date for university students	4
it is found that	4
number of outbreaks is	4
can be considered to	4
infection and communication networks	4
the availability of information	4
individualized thresholds toward adoption	4
that can be used	4
care of infected individuals	4
most of the cases	4
fixed number of realized	4
the h n flu	4
dominated by weak ties	4
an example of a	4
in response to an	4
dynamics on complex networks	4
it is worth noting	4
controlling the spread of	4
make the approximation that	4
the central business district	4
the notion of a	4
susceptibles at the beginning	4
location of the individual	4
like principles that determine	4
is as good as	4
use of social media	4
has been used as	4
the tragedy of the	4
stands for the fraction	4
can also be used	4
a critical role in	4
spatial statistics and econometrics	4
i is the number	4
a large impact on	4
in the range of	4
the costs of precaution	4
as part of a	4
dynamics of the outbreak	4
the mean of the	4
the distance to the	4
at a particular time	4
individuals near realized treatment	4
number of candidate locations	4
the idea of the	4
offline and online questionnaires	4
under regulated access control	4
the extent to which	4
prevent the spread of	4
treatment has no effect	4
time population density and	4
grocery stores on nearby	4
maps and institutional affiliations	4
regard to jurisdictional claims	4
structure of infection network	4
the natural history of	4
influence of human behaviour	4
of epidemic disease on	4
the epidemic of covid	4
in developed and developing	4
estimating the effects of	4
flourish as the kind	4
interact with one another	4
equally likely to be	4
the realized treatment location	4
individuals within the household	4
the source of the	4
living in the same	4
the notion of natural	4
the structure of infection	4
workers in the district	4
mean number of contacts	4
for the purpose of	4
a particular percentage of	4
average treatment effects in	4
if we are interested	4
the health state of	4
at a given distance	4
stayed in close proximity	4
end of the epidemic	4
of control potential outcomes	4
to avoid contact with	4
to stay at home	4
described in the previous	4
individuals need to be	4
a single candidate treatment	4
important to highlight that	4
and the size of	4
are likely to be	4
the study of disease	4
with adrd and their	4
the threshold level of	4
with a history of	4
number of links of	4
on epidemic prevention is	4
on the dynamics of	4
disturbance in the law	4
number of susceptibles at	4
the treatment effect of	4
number of contacts that	4
of the healthy into	4
on the role of	4
they found that the	4
growing force of infection	4
models of disease transmission	4
shown in figure s	4
have a large impact	4
the incubation period is	4
our understanding of the	4
the epidemic and the	4
contact with an infectious	4
were more likely to	4
where n is the	4
of contacts per individual	4
by a branching process	4
centre for disease control	4
higher risk are predominantly	4
the very idea of	4
give rise to the	4
the expectation of the	4
jurisdictional claims in published	4
after the large outbreak	4
discussed in this chapter	4
constant force of infection	4
when the relative cost	4
one health and global	4
spread of epidemic disease	4
health and global health	4
we would like to	4
systematic review and meta	4
in published maps and	4
the average outcome of	4
of the impact of	4
flourish as the kinds	4
distribution of the number	4
a better understanding of	4
of infected individuals to	4
until there are no	4
the development of a	4
with individual fixed effects	4
the early days of	4
to prevent the spread	4
contact network for infectious	4
in the application of	4
louisville school of medicine	4
to jurisdictional claims in	4
the location of the	4
of the theory of	4
the length of the	4
notion of the self	4
increase the risk of	4
and of ar in	4
is a function of	4
to the extent that	4
outbreaks of infectious diseases	4
the start of an	4
self in the context	4
of people who have	4
at least some individuals	4
the link between social	4
infections by the reservoir	4
the spatial experiment estimator	4
human contact network for	4
of an individual to	4
in a population of	4
into and out of	4
the centralised server te	4
and to clustering at	4
h n flu in	4
nature remains neutral with	4
neutral with regard to	4
considered to be the	4
epidemics on adaptive networks	4
to reduce the spread	4
has been shown that	4
on the protection of	4
green curves in figure	4
most suitable return date	4
it has been shown	4
it is hard to	4
have been proposed to	4
trips into and out	4
static and dynamic interactions	4
average number of secondary	4
of the average effect	4
the risk of covid	4
in the last decade	4
is the variance of	4
effect of grocery stores	4
about the health state	4
the self of the	4
member of the human	4
with a certain probability	4
social media in entrepreneurship	4
us centers for disease	4
dynamical processes in complex	4
is insufficient to explain	4
of a social self	4
a completely randomized design	4
self in relation to	4
to the nature of	4
game theory has been	4
the evolution of cooperation	4
a branching process with	4
to a large number	4
the pathogen from the	4
whether or not to	4
of disturbed internal biological	4
the expected value of	4
in an incidental host	4
on the effect of	4
businesses at distance from	4
structure of the network	4
cellular automata on graphs	4
at the local level	4
published maps and institutional	4
social network size in	4
of the probability of	4
a consequence of the	4
the same as the	4
the two diffusion processes	4
and graph machine learning	4
not directly applicable to	4
the methods i propose	4
those who do not	4
reliance of a nation	4
inverse of the probability	4
of the basic reproduction	4
epidemic disease on networks	4
average number of outbreaks	4
the fraction of time	4
the h n virus	4
increase the number of	4
common heritage of humanity	4
on the emergence and	4
in order to identify	4
a summary of the	4
for public health ethics	4
a force of infection	4
for the evolution of	4
health status of others	4
stages of the entrepreneurial	4
crucial role in the	4
the spreading of the	4
the perceived feasibility to	4
heteroscedasticity and to clustering	4
are less likely to	4
that there are no	4
of ar in particular	4
at the cost of	4
appears to be a	4
return date for university	4
single candidate treatment location	4
this article proposes a	4
in the early stages	4
of the study area	4
in contrast to the	4
when there is no	4
countries around the world	4
in this paper we	4
and individual preventive behavior	4
the scope of this	4
this paper is to	4
the outbreak of covid	4
the context of a	4
operational architecture for privacy	4
that is due to	4
can be seen in	4
biological relations of the	4
if we denote by	4
individual is able to	4
claims in published maps	4
of individuals per region	4
changes in response to	4
link between social media	4
human behaviour on the	4
the moderating effect of	4
suggests that social media	4
of the disease is	4
effectiveness of control strategies	4
a mutual marking post	4
the contact patterns of	4
can be seen as	4
of louisville school of	4
before and after a	4
proportion of the population	4
controlling for individual fixed	4
social media on entrepreneurial	4
is the effect of	4
for individual fixed effects	4
is important to note	4
application of this paper	4
if and only if	4
effects of grocery stores	4
the weighted average treatment	4
in the age of	4
of visceral leishmaniasis in	4
a modified behavioral framework	4
tragedy of the commons	4
on the nature of	4
at each time step	4
in general and of	4
degree of the network	4
idea of the self	4
relationship between social media	4
the understanding of the	4
the relationship between social	4
the epidemiological threshold c	4
is important to highlight	4
nodes of degree k	4
lower bound on the	4
the same set of	4
on the use of	4
ability of the pathogen	4
finite sample properties of	4
framework for public health	4
individuals with low trust	4
the average degree of	4
and the direct transmission	4
the ratio of the	4
with adrd may be	4
depends on the number	4
notion of natural kinds	4
by the fact that	4
the european parliament and	4
a proximity threshold of	4
in the second case	4
in humans and animals	4
that there is a	4
university of louisville school	4
the difference between these	4
with at least one	4
processing of personal data	3
out of affected communities	3
outcomes for different individuals	3
if there is a	3
through the contact network	3
fraction of time the	3
the transmission of the	3
the concept of the	3
successful rate of self	3
identification of causal effects	3
less likely to suffer	3
other processes such as	3
if region receives treatment	3
to control the outbreak	3
number of infected and	3
the probability of the	3
the protection of privacy	3
effect after a distance	3
for the study of	3
of the human genome	3
an offline social network	3
based influence factors of	3
inverse propensity score weighting	3
response to an epidemic	3
to fully understand the	3
exposed to be the	3
candidate treatment locations that	3
the large outbreak is	3
we do not know	3
can influenza epidemics be	3
stage of the entrepreneurial	3
effects at different distances	3
or revising it critically	3
at the previous time	3
and temporal dynamics of	3
in an urbanized area	3
on biological factors that	3
the spread of infections	3
we find that the	3
as a tool in	3
the size of outbreaks	3
stores on nearby businesses	3
adherence to individual isolation	3
an example of how	3
the susceptible individuals of	3
the time evolution of	3
as a further requirement	3
of the strength of	3
if the infection is	3
to be part of	3
the vaccination cost is	3
have been found to	3
u to its neighbor	3
a particular time period	3
study of male cheetahs	3
the density of infected	3
spread of the pathogen	3
denote the set of	3
for a fixed duration	3
may be able to	3
in which the network	3
of human mobility on	3
a global health problem	3
graph machine learning algorithms	3
in order to determine	3
infectious diseases has been	3
in the literature on	3
a significant impact on	3
we can see that	3
such as hand washing	3
a diagnosis is a	3
in case of a	3
the fraction of susceptible	3
compared with wage workers	3
a conceptual framework to	3
the effect of superspreaders	3
posterior distribution of the	3
value one if the	3
in hong kong in	3
the approximate finite sample	3
spread as well as	3
outbreaks after the large	3
the use of flu	3
potential outcomes of individuals	3
and critically infected individuals	3
we briefly discuss the	3
in the home will	3
disturbed internal biological relations	3
number of infectious individuals	3
in the first case	3
three candidate treatment locations	3
there is no more	3
of a spatial treatment	3
developed and developing countries	3
used in the model	3
in the vicinity of	3
individual contact and group	3
mortality and healthcare demand	3
the home will be	3
the rights of indigenous	3
the first and second	3
rights as a framework	3
voluntarily adopt preventive behavior	3
more than that of	3
of self in the	3
and at the district	3
of the cold war	3
the epidemic threshold is	3
proposes a conceptual framework	3
the fact that we	3
the same outer ring	3
of time spent in	3
the same household as	3
effect at a distance	3
population as well as	3
journal of small business	3
approximate the number of	3
the scale of the	3
was multiplied by to	3
for important intellectual content	3
threshold of adoption pressure	3
the state of each	3
decrease the likelihood of	3
a highly infectious disease	3
the reporting rate depends	3
from a realized treatment	3
mitigating an influenza pandemic	3
role of the propensity	3
number of treated regions	3
of the individuals need	3
during the i th	3
media use on entrepreneurial	3
about the nature of	3
and that of preventive	3
of a mutual marking	3
on the idea of	3
of an individual being	3
can be employed to	3
evidence from a randomized	3
the outbreak of the	3
use of face masks	3
fixed number of regions	3
in this section we	3
also consistent with the	3
the final size of	3
and outer ring businesses	3
distance to the encounter	3
the probability of a	3
on offline social network	3
to their nearest neighbors	3
not subject to recall	3
the strength of selection	3
for the ease of	3
during the course of	3
etiological agent of sars	3
treatment effect of interest	3
the contact network in	3
are observed after days	3
trust propensity moderates the	3
partial least squares structural	3
drafting the work or	3
transmission dynamics in wuhan	3
at a given time	3
a result of the	3
of a loved one	3
candidate treatment location in	3
the negative impact of	3
job control and job	3
more conclusive than other	3
value of vaccine failure	3
visceral leishmaniasis in the	3
this probability to be	3
by the spillover transmission	3
appears to be the	3
to the diffusion of	3
of individuals who are	3
total number of deaths	3
of the pathogen in	3
a fixed duration of	3
the treatment effect at	3
strategies and individual preventive	3
a high level of	3
in the instrumental variables	3
is in the control	3
estimate of the variance	3
isolation and characterization of	3
reduces the likelihood of	3
the work or revising	3
organization working group on	3
a human rights perspective	3
in space and time	3
finite number of candidate	3
in the formation of	3
within m of a	3
waking day outside the	3
in boots and sasaki	3
under the influence of	3
both of which are	3
as an explanation of	3
influenza in the us	3
characteristics of novel coronavirus	3
the length of hospitalization	3
the absence of treatment	3
that only the nearest	3
of the infected population	3
in the early days	3
research on social networks	3
in the population is	3
is one that is	3
it is very important	3
the role of human	3
of the largest outbreak	3
decreasing in distance from	3
patterns relevant to the	3
the literature on interference	3
in the degree class	3
as a control strategy	3
of ar is based	3
of the return rush	3
the monte carlo method	3
is an example of	3
low trust propensity are	3
it becomes possible to	3
the individuals need to	3
to be less than	3
information and resource search	3
intellectually handicapped and institutionalised	3
has been paid to	3
number and the size	3
a real grocery store	3
will depend on the	3
they are unable to	3
are at distance from	3
to the spatial treatment	3
the estimate of the	3
the largest number of	3
estimate the average effect	3
on the effects of	3
of the reporting rate	3
likely than wage workers	3
number of grocery stores	3
number of infected will	3
it critically for important	3
on the type of	3
of individuals in a	3
adopt epidemic prevention is	3
overseas travellers who had	3
is not sufficient to	3
the sort of foundation	3
a grocery store nearby	3
origin of the infection	3
natural logarithm of hospitalization	3
prevented by voluntary vaccination	3
general data protection regulation	3
model introduced in this	3
many marking posts were	3
total number of infected	3
the path coefficients are	3
period outcomes for different	3
location of the treatment	3
inhibited from flourishing as	3
relation to the nation	3
results on branching processes	3
awareness of the disease	3
estimation of average treatment	3
infection from the reservoir	3
the number and the	3
the emergence and transmission	3
in terms of time	3
than wage workers to	3
in terms of their	3
individuals with high trust	3
through the use of	3
sort of foundation for	3
measures the average effect	3
to obtain the best	3
the average individual at	3
typical occupations of self	3
of the health status	3
an approach based on	3
of influenza and its	3
the vaccine under the	3
found in athreya and	3
smaller than the one	3
the average time to	3
average shortest path length	3
the disease can be	3
reduce the risk of	3
framework for epidemic modeling	3
contacts and mixing patterns	3
the outbreak of infectious	3
little attention has been	3
is more conclusive than	3
of global positioning system	3
of the level of	3
the number of vaccinated	3
is a class of	3
the joint posterior distribution	3
used to predict the	3
as a tool for	3
an individual in the	3
average aggregate treatment effect	3
the total amount of	3
in the web version	3
the relative agreement model	3
effect of a spatial	3
the threshold of adoption	3
of infected individuals are	3
treatment times of all	3
is the same as	3
locations in the region	3
an instrumental variable strategy	3
is to introduce a	3
outer ring around a	3
conservative estimator of the	3
from a candidate treatment	3
we refer to as	3
the effect of social	3
is given as follows	3
of the most important	3
rate and pneumonia mortality	3
the local transition function	3
into a fine grid	3
more likely to contact	3
in the mcmc algorithm	3
of susceptible individuals consumed	3
of vaccination c and	3
at distance from location	3
both isolation and social	3
containing pandemic influenza with	3
outbreak of severe acute	3
has a positive impact	3
a class of states	3
contact and group contact	3
toward the adoption of	3
to take into account	3
biases in the data	3
and the theory of	3
as infectious as vl	3
spreads through the network	3
data protection framework is	3
class of infected individuals	3
as one of the	3
the coefficient of the	3
infectious diseases are transmitted	3
in contact with a	3
the impact of individual	3
to reach a large	3
as a public health	3
natural language processing techniques	3
the minimum number of	3
a vertex v i	3
in the center of	3
in the european union	3
individuals in control regions	3
seasonal influenza in the	3
the dynamics of eids	3
have been devoted to	3
of an individual member	3
the average treatment effects	3
to address this issue	3
parliament and of the	3
living natural kind x	3
in the following sections	3
sars in hong kong	3
methodology can be easily	3
the recovery rate and	3
resolution human contact network	3
individual variation in susceptibility	3
the control potential outcomes	3
the health belief model	3
it is relevant to	3
of observed symptomatic individuals	3
network of an individual	3
is very important to	3
squares structural equation modeling	3
grocery stores on foot	3
as a framework for	3
evolution of antibiotic resistance	3
on prevention of international	3
show how to find	3
can be defined as	3
also be used to	3
population is divided into	3
in the digital age	3
restricted to be in	3
contact behavior can be	3
the population at time	3
internal biological relations that	3
from symptom onset to	3
in athreya and ney	3
when the proportion of	3
employment indicator was multiplied	3
an infectious disease outbreak	3
a higher level of	3
to be the number	3
the true number of	3
candidate treatment locations s	3
in the limit of	3
susceptible to the disease	3
the authors showed that	3
ideal experiment of randomizing	3
of the individuals in	3
disease prevention and control	3
context of the covid	3
c and vaccine failure	3
the first step in	3
possible number of links	3
as much as possible	3
the contribution of pkdl	3
at the global scale	3
the model introduced in	3
to figure out the	3
of the entire population	3
the nearest realized location	3
the number of symptomatic	3
who are more likely	3
can be expressed as	3
is much larger than	3
dynamic interactions between male	3
social media use has	3
vaccinated individuals become susceptible	3
of infectious diseases is	3
referred to as the	3
of the total number	3
beyond the scope of	3
number of mutual marking	3
very close to the	3
specified by the researcher	3
are expected to be	3
of the effect of	3
effect of interest is	3
a way that is	3
networks and epidemic models	3
emergence and transmission of	3
and not so much	3
average treatment effect at	3
consume a large number	3
human social networks are	3
have a chance to	3
as the effects of	3
vaccination sentiments with online	3
a particular time step	3
take the form of	3
the purpose of this	3
order to be able	3
group model to predict	3
the length of time	3
the majority of cases	3
in this study is	3
would be able to	3
critically for important intellectual	3
the pathogen to propagate	3
early in the epidemic	3
is mile away from	3
the social brain hypothesis	3
important role in the	3
may or may not	3
levels of the potential	3
of the epidemic and	3
that the location of	3
have been shown to	3
taken into account in	3
to return to work	3
the likelihood that any	3
of the disease in	3
an ethical framework for	3
transmission on epidemic outbreaks	3
population spends in each	3
the contact tracing capacity	3
the amount of information	3
the onset of the	3
use during pandemic influenza	3
one individual to another	3
the incidence of the	3
hyperbolic sine of visits	3
recovery rate and pneumonia	3
revising it critically for	3
plays an important role	3
for each grid cell	3
at the district level	3
h n pandemic in	3
is a grocery store	3
the mode of transmission	3
are based on a	3
number of infected in	3
the spillover transmission rate	3
the workplace closure strategy	3
network size in humans	3
moderates the relationship between	3
we find that self	3
independent of the reporting	3
quality of the individual	3
in which the pathogen	3
this is likely to	3
the capacity of the	3
the neighborhood of a	3
the beginning of this	3
in a number of	3
to be immunized before	3
mitigating the spread of	3
birth and death rates	3
from one individual to	3
workers to be hospitalized	3
with the number of	3
the research on social	3
social contacts and mixing	3
the contact interactions of	3
for each of the	3
number of individuals that	3
of an infected individual	3
to ensure that the	3
media on entrepreneurial entry	3
individualist civil and political	3
of an individual has	3
region is in the	3
diagnosis is a judgment	3
the gastroenteritis control group	3
control and job demand	3
in the susceptible state	3
found to be the	3
but also on the	3
from the reservoir and	3
by a factor of	3
in the order of	3
in the gastroenteritis control	3
access to hospital care	3
is constant equal to	3
and vaccine failure rate	3
is proportional to the	3
this allows us to	3
of a new treatment	3
the increased risk of	3
the degree class k	3
in the online resource	3
obligation of the regulator	3
members of a living	3
the etiological agent of	3
the fraction of restaurants	3
with a high trust	3
force of infection and	3
number of deaths is	3
are unaffected by treatment	3
the total population of	3
a new treatment location	3
effect of superspreaders on	3
also play an important	3
is not justified by	3
the number of neighbors	3
and the structure of	3
and final approval of	3
vaccination c and vaccine	3
the time when the	3
similar to those in	3
the use of a	3
of the united states	3
as the fraction of	3
individual being locked down	3
individuals in the sample	3
the amount of overlap	3
is a good approximation	3
a rich set of	3
grocery store at location	3
the value of vaccine	3
state of affairs that	3
the treatment status of	3
the researcher has data	3
methods proposed in this	3
impact of the covid	3
basic reproduction number r	3
the spatial distribution of	3
to the realized treatment	3
of the human gut	3
there is a clear	3
with mean and variance	3
through the formation of	3
the absence of the	3
between january and december	3
of seasonal influenza in	3
at the long distance	3
and after a possible	3
from the fracking revolution	3
in the current context	3
sentiments with online social	3
which implies that the	3
inaccurate or even fake	3
control strategies and individual	3
a portion of the	3
of international and community	3
as a basis for	3
and the frequency of	3
people who have developed	3
one can then average	3
a feature that is	3
proposed to explain the	3
distance travelled and tortuosity	3
have developed symptoms by	3
traffic to nearby restaurants	3
the costs associated with	3
the incidental host is	3
each cell stands for	3
makes it possible to	3
of some of the	3
number of customers of	3
to adopt the vaccine	3
of the role of	3
of each node is	3
association with poor hygiene	3
due to the fact	3
may have to be	3
to processes in statistical	3
the infection by the	3
expected number of infected	3
delay care in order	3
the first step to	3
transmission dynamics of the	3
attention has been paid	3
number of contacts is	3
do not have the	3
intermittent social distancing strategy	3
of a human rights	3
discuss the influence of	3
then use the same	3
assessing vaccination sentiments with	3
and social network size	3
to explore the impact	3
estimator of the average	3
values of relative cost	3
is determined by the	3
spreads through a population	3
understanding of the self	3
the same estimators as	3
the number of infections	3
of contacts that an	3
baseline setting of this	3
epidemiological dynamics of infectious	3
for a pathogen barely	3
much faster than disease	3
has no effect after	3
the methodology can be	3
this individual is able	3
d t i d	3
figure shows that the	3
an understanding of the	3
the region is in	3
to higher rates of	3
which is different from	3
the waking day outside	3
obtain the best return	3
absence of epidemic threshold	3
outcomes of individuals in	3
effect at that distance	3
influenza with antiviral agents	3
if the data were	3
of having an infected	3
this is because the	3
of the spread of	3
during the outbreak in	3
in order to understand	3
near candidate treatment locations	3
the social network of	3
the ease of comparison	3
the methods proposed in	3
to those in section	3
the model assumes that	3
causal effects of grocery	3
strategies for mitigating an	3
what it means to	3
in an outer ring	3
the incubation period distribution	3
from an animal reservoir	3
overseas travellers excreting cvlp	3
that there are two	3
is the case with	3
lower levels of organization	3
no conflict of interest	3
because of the way	3
to name a few	3
from person to person	3
flourishing as the kinds	3
myopic update rule in	3
the properties of the	3
a novel coronavirus disease	3
the travel restriction strategy	3
of the second term	3
of infected individuals reaches	3
be found in athreya	3
the integrity of the	3
is shown in figure	3
the maximum possible number	3
cases with onset before	3
random variation in the	3
play a role in	3
can be reduced by	3
and use it to	3
of the model and	3
dispersion of economic shocks	3
of being infected and	3
sustainability of lockdown policy	3
awareness that increases with	3
in response to epidemics	3
the affected members of	3
the effect of treatment	3
less likely than wage	3
spread of an infectious	3
pathogen evolution and demographic	3
distinction between disease and	3
no interference across regions	3
the set of all	3
the development of the	3
the best return date	3
most important and influential	3
also been used to	3
between inner and outer	3
of susceptible individuals and	3
moderating effect of trust	3
disease and related dementias	3
for the incubation period	3
argue in favor of	3
personal data should be	3
the number of grocery	3
typical history of members	3
members of the population	3
the absence of pre	3
leishmaniasis in the indian	3
the candidate treatment location	3
mixing patterns relevant to	3
it may be more	3
to assume that the	3
outbreak of the covid	3
on social media in	3
investigate the role of	3
was noted in the	3
them to adopt preventive	3
probability of receiving treatment	3
the evolution of resistance	3
as is the case	3
we assume that adherence	3
contacts that an i	3
contact network based on	3
length of the incubation	3
locations that are indistinguishable	3
the contents of the	3
the direct transmission is	3
health organization working group	3
attention should be paid	3
district level in models	3
working group on prevention	3
is illustrated in figure	3
for x belonging to	3
state of affairs of	3
and epidemic knowledge are	3
and the proportion of	3
total number of infections	3
how many marking posts	3
the number of new	3
the epidemic threshold of	3
pure strategy nash equilibrium	3
we establish the penta	3
that do not require	3
night than during the	3
to be in contact	3
china family panel studies	3
away from the same	3
individual level in models	3
we were able to	3
seems to suggest that	3
to refer to the	3
evolution and demographic processes	3
for an excursion to	3
can estimate the effects	3
and type of employment	3
antiviral use during pandemic	3
with high trust propensity	3
the dynamic contact network	3
set of candidate locations	3
disease in the population	3
vl cases with onset	3
probability to reach the	3
branching processes with immigration	3
most likely to be	3
of the infectious disease	3
assumption is that the	3
there is no way	3
the time between two	3
the worldwide spread of	3
tens of thousands of	3
is defined as a	3
with gastroenteritis excreting cvlp	3
individuals with adrd are	3
different types of interactions	3
in this paper is	3
its impact on the	3
that the use of	3
among the members of	3
is much slower than	3
the average age of	3
there is a single	3
of the self of	3
of living natural kinds	3
in the philosophy of	3
expected value of the	3
major human infectious diseases	3
the direct transmission rate	3
implications for infectious disease	3
vaccine under the myopic	3
i argue in favor	3
the gradient of infection	3
of this natural kind	3
the layered structure of	3
may contribute to the	3
be expressed as follows	3
used in the study	3
the spread of epidemics	3
we need to know	3
susceptible individuals consumed by	3
by taking into account	3
of critical care beds	3
has also been used	3
a conservative estimator of	3
pandemic influenza with antiviral	3
be experienced as a	3
a systematic review and	3
with online social media	3
pathogen from the reservoir	3
of gps and bluetooth	3
has led to the	3
study of infectious diseases	3
causes and consequences of	3
the sustainability of lockdown	3
treatment effect at a	3
average number of individuals	3
on the individuals in	3
processes in complex networks	3
been exposed to the	3
in the data set	3
time step t is	3
are more prone to	3
response to the treatment	3
the impact of control	3
of control strategies and	3
may need to be	3
processing techniques and graph	3
the spread of diseases	3
to be larger than	3
a data protection framework	3
of the paper is	3
variance of treatment effects	3
basic notions of the	3
individuals as well as	3
more likely to occur	3
have been exposed to	3
be the number of	3
is the fact that	3
research on social media	3
effects on the number	3
impact of information transmission	3
of cases in the	3
the diffusion of infectious	3
of the individual and	3
who have developed symptoms	3
techniques and graph machine	3
is worth noting that	3
particularly relevant in the	3
on antiviral use during	3
to address some of	3
the impact of self	3
human rights as an	3
are said to be	3
had a history of	3
to predict the spread	3
the self in relation	3
access control and purpose	3
for infectious disease dynamics	3
effect of trust propensity	3
transmission probability per contact	3
spatial and temporal dynamics	3
is a consequence of	3
focus on biological factors	3
size of the epidemic	3
the most important and	3
of infectious diseases at	3
with one another and	3
international and community transmission	3
is the population size	3
health conditions such as	3
into the study area	3
for home isolation case	3
it is true that	3
the natural logarithm of	3
the levels of the	3
increase in the number	3
the analysis in this	3
individual in the home	3
at night than during	3
be prevented by voluntary	3
control and purpose limitation	3
of the transmission parameters	3
influenza epidemics be prevented	3
a large proportion of	3
a natural kind is	3
the subsample of switchers	3
the centers for disease	3
to be an outbreak	3
activation of social distancing	3
the branching process approximation	3
probability for an excursion	3
and social distancing features	3
an estimate of the	3
prevention of international and	3
the implementation of the	3
individuals in the orange	3
diseases are transmitted through	3
group on prevention of	3
a human rights framework	3
optimal control theory is	3
an outer ring around	3
personal data must be	3
will decide to adopt	3
of a variety of	3
a number of studies	3
in the remainder of	3
language processing techniques and	3
the method of stages	3
developed in this paper	3
data that can be	3
to the same individual	3
weight in the estimand	3
for the dynamics of	3
the states of the	3
for the use of	3
could be a valid	3
the spatial spread of	3
as the consequence of	3
of the individuals to	3
not be limited to	3
the healthy into self	3
epidemics be prevented by	3
use on entrepreneurial entry	3
the influence factors of	3
in the course of	3
we contribute to the	3
start of an outbreak	3
of the population in	3
the course of an	3
of these methods are	3
the infected individuals of	3
function of the incubation	3
these three diffusion processes	3
less likely to be	3
is not a natural	3
indicator was multiplied by	3
been shown to be	3
the absence of any	3
have an animal origin	3
increasing percentage of home	3
the offline social network	3
the average aggregate treatment	3
weekly number of newly	3
and the role of	3
to do with the	3
the relative contribution of	3
wage workers to be	3
a vital role in	3
r y a i	3
to the variance of	3
which was followed by	3
are distance away from	3
for the analysis of	3
for the effects of	3
the ideal experiment of	3
a model for the	3
the number of nodes	3
on the size of	3
that of preventive behavior	3
let us consider a	3
large impact on the	3
within the same region	3
of complex networks the	3
of time the population	3
even in the absence	3
least squares structural equation	3
a pure strategy nash	3
is the probability that	3
time the population spends	3
can be associated with	3
modeling infectious diseases in	3
in epidemic models is	3
the number of exposed	3
the spreading of infectious	3
by an ideal experiment	3
the whole study area	3
but none of them	3
day outside the home	3
individual in the population	3
how many of the	3
on an inner ring	3
model to simulate the	3
by the properties of	3
in terms of health	3
can lead to a	3
all individuals in the	3
role in such cases	3
of individual members of	3
is similar to the	3
does not affect the	3
that the epidemic is	3
is equally likely to	3
of newly infected individuals	3
of information transmission on	3
the incubation period of	3
work or revising it	3
the tweets were restricted	3
flourishing as the kind	3
number of secondary infections	3
of lockdown and social	3
biobanking and public health	3
model is implemented in	3
notion of a natural	3
more sensitive to the	3
infection at time t	3
efficacy is more conclusive	3
it is not the	3
we obtain the following	3
from the actual value	3
the proportion of adopters	3
number of observed symptomatic	3
see text s section	3
to the presence of	3
spread of antibiotic resistance	3
the population is divided	3
are not available to	3
basic reproductive number r	3
case of uncorrelated networks	3
individual member of the	3
the goal is to	3
for mitigating an influenza	3
can play an important	3
likely to be realized	3
if an infected individual	3
also known as the	3
n is the population	3
or even fake information	3
predict the spread of	3
are shown in the	3
the data were not	3
may be difficult to	3
and dynamic interactions between	3
the excretion of cvlp	3
both static and dynamic	3
is the lack of	3
bound on the true	3
in order to achieve	3
a conceptual framework for	3
are at a distance	3
the notion of disease	3
by the reservoir is	3
if treatment is realized	3
more likely to have	3
of outbreaks in the	3
and offline social networks	3
of the proposed model	3
average time to absorption	3
a given value of	3
the risk posed to	3
the case of ar	3
the design of control	3
individuals in the region	3
than during the day	3
at the expense of	3
as long as the	3
but this does not	3
text of the tweets	3
community transmission of sars	3
one if the individual	3
the different control policies	3
of relative cost of	3
the baseline setting of	3
such that the number	3
in the human population	3
a realized treatment location	3
the spread of information	3
even in the case	3
and of the council	3
their offline social network	3
implications for the design	3
the ethics of biobanking	3
and community transmission of	3
a million dollar plant	3
intraspecific interactions among carnivores	3
the probability of an	3
the results of this	3
perspectives on antiviral use	3
conceptual framework for epidemic	3
with adrd living in	3
number of influenza cases	3
the effect of individual	3
as well as if	3
multiplied by to facilitate	3
and the outcomes of	3
social media use is	3
medical university is located	3
to the host population	3
for the fact that	3
of human social networks	3
any point in the	3
the costs and benefits	3
particles characterised by a	3
the threshold of infection	3
world health organization working	3
the typical occupations of	3
an analysis of the	3
it is also worth	3
it seems that the	3
be used to determine	3
machine learning framework for	3
the individual level in	3
time stochastic sir model	3
by the experimental design	3
scenario a and b	3
and mixing patterns relevant	3
the district level in	3
the infection is transmitted	3
in such a manner	3
in each of the	3
to identify shifting individuals	3
state of each cell	3
in the dynamics of	3
it needs to authenticate	3
of mutual marking posts	3
using natural language processing	3
the epidemic in the	3
by to facilitate reading	3
tweets were restricted to	3
proportion of the infected	3
simulation of the return	3
based on cellular automata	3
based on the above	3
diseases and natural kinds	3
not taken into account	3
could be used to	3
should be noted that	3
estimate the effects of	3
linked to their nearest	3
continuous time stochastic sir	3
important and influential factor	3
a positive impact on	3
the assumption that only	3
take into account the	3
on the relationship between	3
infectious disease dynamics and	3
were restricted to be	3
the weekly number of	3
coefficient of the self	3
automatic contact tracing methods	3
is taken to be	3
of the model parameters	3
it should be noted	3
effects of mass media	3
european parliament and of	3
maximum possible number of	3
makes necessary reference to	3
the interests of individuals	3
of the network is	3
is the total number	3
to approximate the number	3
that the distribution of	3
the tweets and the	3
no effect after a	3
losses associated with taking	3
can be found at	3
has been used for	3
in the first stage	3
for different values of	3
to be effective for	3
the spillover transmission and	3
the transmission of infectious	3
delay from symptom onset	3
the absence of interference	3
information transmission on epidemic	3
in the group of	3
in the treatment of	3
relevant to the spread	3
with the intention of	3
variances of treatment effects	3
during the incubation period	3
relevant in the case	3
processes in statistical physics	3
of public health interventions	3
higher than that of	3
there is a grocery	3
are shown in figure	3
political polarization on twitter	3
information and communication technologies	3
and out of affected	3
can be further developed	3
social distancing features of	3
for the common cold	3
and the possibility of	3
of the spatial treatment	3
processes in complex socio	3
reporting rate depends on	3
of symptomatic individuals in	3
called the threshold of	3
of the european parliament	3
diseases in humans and	3
candidate treatment locations within	3
spread of infectious disease	3
not a natural kind	3
tweets of donald trump	3
average of outcomes of	3
contacts an individual has	3
to the need for	3
the description of the	3
of the idea of	3
evaluate the proportion of	3
to the vaccine failure	3
a fully susceptible population	3
the previous time step	3
symptomatic individuals in the	3
in the shocked industry	3
in the sum of	3
estimate of the average	3
rate at which the	3
are similar to the	3
social media use may	3
by ferguson et al	3
there are no more	3
human to human transmission	3
with the euclidean distance	3
probability for the number	3
geographic dispersion of economic	3
individuals at time t	3
in the real world	3
based on the comparison	3
the concept of a	3
included in the data	3
of the average treatment	3
can be obtained with	3
restricting the sample to	3
two different types of	3
and control of diseases	3
the text of the	3
in a given district	3
over a period of	3
online and offline social	3
size of the largest	3
the costs of lockdown	3
not too close to	3
an infected individual and	3
of flu antiviral drugs	3
directions for future research	3
methods i propose in	3
need to be immunized	3
the population spends in	3
of degree k to	3
even when there is	3
antibiotics and antibiotic resistance	3
on individuals with neurocognitive	3
caused by a single	3
can be written as	3
be taken into consideration	3
as part of the	3
has been found to	3
case study of male	3
outbreak of infectious diseases	3
evidence from the fracking	3
a community size of	3
this is most easily	3
such as population density	3
of the proportion of	3
a larger social network	3
on epidemic spreading in	3
the focus of this	3
pandemic and its consequences	3
the analytical prediction for	3
of infected and susceptible	3
the effects of mass	3
to contain the epidemic	3
occurring before the large	2
law of total variance	2
effect after distance max	2
found to be a	2
pressure up to time	2
to be the case	2
individuals who are located	2
places most weight on	2
an x value of	2
is independent of adherence	2
urbanized area of buffalo	2
individuals in a node	2
for condoms to the	2
that make an infectious	2
for as long as	2
the innate immune response	2
adult inpatients with covid	2
allows us to write	2
to human transmission of	2
responses to pandemic influenza	2
of the variance of	2
application of probability theory	2
models of collective behavior	2
more limited access to	2
of susceptible individuals for	2
responsibilities to private actors	2
reporting rate is constant	2
clustering coefficient and cluster	2
of epidemics have been	2
the problem of antibiotic	2
and household quarantine is	2
explained by the background	2
we may expect to	2
the variance of d	2
spreading of computer viruses	2
chosen for treatment according	2
it was vice versa	2
which will change in	2
literature suggests that social	2
in the reporting date	2
the st to the	2
and forecasting the diffusion	2
near each grocery store	2
considering individual preventive behavior	2
substantial noise from false	2
inoculate the vaccine under	2
and summing over all	2
propensity score estimation for	2
the availability of the	2
are both of the	2
weighted exposure estimate was	2
case of a relatively	2
at the same rate	2
identifying the damage caused	2
in order to develop	2
are of particular importance	2
that facilitates the spread	2
the case of covid	2
in host populations with	2
and impact of the	2
dynamics at the local	2
the first day of	2
the epidemic can be	2
in the current literature	2
used to model the	2
the symptom onset date	2
sexual contacts and venereal	2
countries involved in the	2
structure or physical integrity	2
although the morphology of	2
is measured with the	2
to characterize the twitter	2
a relatively small sample	2
in general and ar	2
dynamics of zoonotic pathogens	2
structures of this kind	2
in a highly endemic	2
com drive tbb usgia	2
one can make the	2
some of the basic	2
households and other social	2
contacts and or venereal	2
antimicrobial use in food	2
an inner ring at	2
elimination of visceral leishmaniasis	2
of a contact network	2
provide at least a	2
of the affected members	2
american society of mammalogists	2
inherent tension between individual	2
the only difference between	2
human beings need the	2