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 |
---|---|
the basic reproduction number | 87 |
the spread of covid | 76 |
the spread of the | 64 |
chaos solitons fractals doi | 58 |
the total number of | 56 |
on the other hand | 52 |
the number of infected | 43 |
the dynamics of the | 37 |
the transmission dynamics of | 37 |
the authors declare that | 35 |
in the number of | 34 |
of the novel coronavirus | 34 |
that they have no | 34 |
of the number of | 34 |
basic reproduction number r | 34 |
authors declare that they | 33 |
is locally asymptotically stable | 33 |
declare that they have | 32 |
reported in this paper | 31 |
number of confirmed cases | 31 |
severe acute respiratory syndrome | 31 |
competing financial interests or | 29 |
interests or personal relationships | 29 |
appeared to influence the | 29 |
that could have appeared | 29 |
the evolution of the | 29 |
have appeared to influence | 29 |
could have appeared to | 29 |
financial interests or personal | 29 |
or personal relationships that | 29 |
relationships that could have | 29 |
personal relationships that could | 29 |
to influence the work | 29 |
work reported in this | 28 |
the work reported in | 28 |
no known competing financial | 28 |
have no known competing | 28 |
they have no known | 28 |
known competing financial interests | 28 |
influence the work reported | 28 |
it can be seen | 26 |
number of infected individuals | 25 |
in the case of | 25 |
on the dynamics of | 24 |
with the help of | 24 |
growth rate of new | 24 |
as well as the | 24 |
is globally asymptotically stable | 23 |
the dynamics of covid | 23 |
the beginning of the | 23 |
on the basis of | 22 |
a mathematical model for | 22 |
spread of the virus | 22 |
a large number of | 22 |
is given by the | 21 |
the mathematical theory of | 20 |
the number of cases | 20 |
transmission dynamics of the | 20 |
spread of the disease | 20 |
we have the following | 20 |
the number of confirmed | 20 |
number of infected people | 20 |
can be seen that | 20 |
the number of deaths | 19 |
the rest of the | 19 |
on the spread of | 19 |
as shown in fig | 19 |
the number of infections | 19 |
and control of covid | 19 |
can be used to | 18 |
the end of the | 18 |
at the beginning of | 18 |
in the absence of | 17 |
of the spread of | 17 |
dynamics of novel coronavirus | 17 |
of the basic reproduction | 17 |
sir epidemic model with | 17 |
the world health organization | 17 |
the cumulative number of | 17 |
the next generation matrix | 17 |
virus in the environment | 16 |
and the number of | 16 |
on the number of | 16 |
to the mathematical theory | 16 |
the rate of infection | 16 |
the numerical solution of | 16 |
international spread of the | 16 |
mathematical theory of epidemics | 16 |
for the spread of | 15 |
in cryptocurrency markets before | 15 |
the early phase of | 15 |
nowcasting and forecasting the | 15 |
we assume that the | 15 |
the dynamics of novel | 15 |
domestic and international spread | 15 |
potential domestic and international | 15 |
outbreak originating in wuhan | 15 |
forecasting the potential domestic | 15 |
the potential domestic and | 15 |
ncov outbreak originating in | 15 |
and forecasting the potential | 15 |
the number of new | 15 |
the number of susceptible | 15 |
the virus in the | 15 |
and international spread of | 15 |
dynamics of transmission and | 15 |
for different values of | 14 |
the impact of the | 14 |
the daily growth rate | 14 |
of transmission and control | 14 |
is one of the | 14 |
transmission and control of | 14 |
with respect to the | 14 |
rate of new cases | 14 |
as a function of | 14 |
a mathematical modelling study | 14 |
this completes the proof | 14 |
acute respiratory syndrome coronavirus | 14 |
early dynamics of transmission | 14 |
in the context of | 14 |
it is assumed that | 13 |
can be seen in | 13 |
variance in cryptocurrency markets | 13 |
of the mitigation strategies | 13 |
asymptotically stable if r | 13 |
the growth rate of | 13 |
the peak of the | 13 |
at the end of | 13 |
is organized as follows | 13 |
is based on the | 13 |
the existence of the | 13 |
modeling the dynamics of | 13 |
locally asymptotically stable if | 13 |
basic reproduction number of | 13 |
mitigation strategies for covid | 13 |
of this paper is | 13 |
transmission dynamics of covid | 13 |
the transmission of covid | 12 |
in cryptocurrency markets during | 12 |
in the early phase | 12 |
the mitigation strategies for | 12 |
cryptocurrency markets before pandemic | 12 |
cryptocurrency markets during pandemic | 12 |
stock markets before pandemic | 12 |
the value of the | 12 |
dynamics of the covid | 12 |
mean in cryptocurrency markets | 12 |
confirmed cases of covid | 12 |
mean in stock markets | 12 |
in stock markets during | 12 |
it is possible to | 12 |
which may be considered | 12 |
stock markets during pandemic | 12 |
one of the most | 12 |
of the sir model | 12 |
the disease free equilibrium | 12 |
may be considered as | 12 |
it should be noted | 12 |
that the number of | 12 |
be considered as potential | 12 |
should be noted that | 12 |
variance in stock markets | 12 |
in stock markets before | 12 |
to the best of | 11 |
mathematical models have been | 11 |
dynamics of the disease | 11 |
can be written as | 11 |
number of new cases | 11 |
the ministry of health | 11 |
the third equation of | 11 |
of the disease in | 11 |
the average number of | 11 |
analysis of the model | 11 |
of individuals in the | 11 |
the best of our | 11 |
in the form of | 11 |
daily growth rate of | 11 |
the lancet infectious diseases | 11 |
analysis of the mitigation | 11 |
number of novel coronavirus | 11 |
of a novel coronavirus | 11 |
that there is no | 11 |
fractional order differential equations | 11 |
the high risk group | 11 |
the classic sir model | 11 |
the second equation of | 11 |
best of our knowledge | 11 |
the proof of theorem | 11 |
paper is organized as | 11 |
the low risk group | 11 |
of the virus and | 11 |
the influence of the | 11 |
early phase of the | 11 |
a case study of | 11 |
in this paper we | 10 |
financial interests personal relationships | 10 |
total number of infections | 10 |
the time evolution of | 10 |
a second wave of | 10 |
no conflict of interest | 10 |
the transmission of the | 10 |
sarii q s q | 10 |
model for simulating the | 10 |
in this section we | 10 |
the effect of the | 10 |
the solution of the | 10 |
of health of morocco | 10 |
analysis and forecast of | 10 |
with recurrent mobility pattern | 10 |
total number of cases | 10 |
number of susceptible individuals | 10 |
increase in the number | 10 |
of the risk of | 10 |
represents the number of | 10 |
number of infected players | 10 |
relationships which may be | 10 |
ministry of health of | 10 |
the parameters of the | 10 |
as a result of | 10 |
fractional optimal control problem | 10 |
following financial interests personal | 10 |
interests personal relationships which | 10 |
the proposed model is | 10 |
personal relationships which may | 10 |
of coronavirus disease in | 10 |
on the one hand | 10 |
of fractional differential equations | 10 |
it follows from the | 10 |
mathematical model for simulating | 10 |
w is locally asymptotically | 10 |
the following financial interests | 10 |
declare the following financial | 10 |
total number of confirmed | 10 |
spreading and information diffusion | 9 |
is shown in fig | 9 |
of the virus in | 9 |
time evolution of the | 9 |
as potential competing interests | 9 |
at the same time | 9 |
is shown in figure | 9 |
considered as potential competing | 9 |
contributions to the mathematical | 9 |
ncov and its implication | 9 |
existence and uniqueness of | 9 |
with a case study | 9 |
a model based study | 9 |
of the transmission risk | 9 |
autoregressive integrated moving average | 9 |
the impact of non | 9 |
for the numerical solution | 9 |
the number of days | 9 |
of transmission of the | 9 |
spread of the covid | 9 |
implication for public health | 9 |
all over the world | 9 |
models of disease transmission | 9 |
operational matrix of fractional | 9 |
for public health interventions | 9 |
in the susceptible population | 9 |
sensitivity analysis of the | 9 |
relative cost of vaccination | 9 |
of the epidemic in | 9 |
cryptocurrency and stock markets | 9 |
a function of time | 9 |
for the number of | 9 |
of the proposed model | 9 |
the case of the | 9 |
are shown in fig | 9 |
parameters of the model | 9 |
and forecast of covid | 9 |
and its implication for | 9 |
infected with novel coronavirus | 9 |
q s q model | 9 |
the duration of the | 9 |
spread of the epidemic | 9 |
the asymptomatic infectious individuals | 9 |
risk assessment of novel | 9 |
transmission dynamics in wuhan | 9 |
reproduction number r b | 9 |
transmission risk of the | 9 |
be seen that the | 9 |
estimation of the transmission | 9 |
its implication for public | 9 |
assessment of novel coronavirus | 9 |
the spread of infectious | 9 |
different values of fractional | 9 |
reduce the number of | 9 |
the transmission risk of | 9 |
by the end of | 9 |
the number of daily | 9 |
to the number of | 9 |
control the spread of | 9 |
countries around the world | 9 |
authors declare the following | 9 |
models have been proposed | 9 |
estimation of the risk | 9 |
is assumed that the | 9 |
the mean time between | 9 |
dynamics and control of | 9 |
middle east respiratory syndrome | 9 |
it is observed that | 9 |
can be applied to | 9 |
the mathematics of infectious | 9 |
the amount of virus | 9 |
p r a ft | 9 |
the onset of symptoms | 9 |
covidmaroc the ministry of | 9 |
the local stability of | 9 |
endemic equilibria for compartmental | 8 |
it is easy to | 8 |
are given in table | 8 |
the number of individuals | 8 |
evolution of the sars | 8 |
diamond princess cruise ship | 8 |
the analysis of the | 8 |
early transmission dynamics in | 8 |
the nature of the | 8 |
equilibrium is globally asymptotically | 8 |
peak number of infections | 8 |
a contribution to the | 8 |
networked population with recurrent | 8 |
from the third equation | 8 |
with respect to time | 8 |
infectious diseases of humans | 8 |
of the epidemic peak | 8 |
mean time between infections | 8 |
cumulative number of confirmed | 8 |
spread of infectious diseases | 8 |
infected population due to | 8 |
of the coronavirus disease | 8 |
the first equation of | 8 |
population with recurrent mobility | 8 |
total number of deaths | 8 |
numerical solution of the | 8 |
preliminary estimation of the | 8 |
the existence of a | 8 |
time forecasts and risk | 8 |
of the lockdown rate | 8 |
it is necessary to | 8 |
that there is a | 8 |
have been proposed to | 8 |
mathematical model for the | 8 |
the control measures v | 8 |
as soon as possible | 8 |
contribution to the mathematical | 8 |
the number of active | 8 |
model to predict the | 8 |
the caputo fractional derivative | 8 |
the basic reproductive number | 8 |
is the number of | 8 |
the incubation period of | 8 |
number of days between | 8 |
the diamond princess cruise | 8 |
phase of the outbreak | 8 |
transmission of the novel | 8 |
spreading of pandemic covid | 8 |
controlling the spread of | 8 |
the daily new cases | 8 |
based transmissibility of a | 8 |
for compartmental models of | 8 |
transmissibility of a novel | 8 |
infection in the host | 8 |
compartmental models of disease | 8 |
as shown in figure | 8 |
novel coronavirus in wuhan | 8 |
the new fractional derivative | 8 |
the state of the | 8 |
is the rate of | 8 |
isolation of cases and | 8 |
the peak number of | 8 |
equilibria for compartmental models | 8 |
fractional order sidarthe model | 8 |
the number of recovered | 8 |
the existence and uniqueness | 8 |
basic reproduction number is | 8 |
system of differential equations | 8 |
mathematics of infectious diseases | 8 |
model to study the | 8 |
is less than unity | 8 |
it is clear that | 8 |
the fact that the | 8 |
cost of vaccination c | 8 |
we obtain the following | 8 |
reproduction number of novel | 7 |
for a long time | 7 |
describe the dynamics of | 7 |
is estimated to be | 7 |
model for the transmission | 7 |
the reproductive number of | 7 |
the basis of the | 7 |
clinical features of patients | 7 |
of ordinary differential equations | 7 |
can be described as | 7 |
to control the spread | 7 |
the outbreak of covid | 7 |
is observed that the | 7 |
apen variance in cryptocurrency | 7 |
of the mild cases | 7 |
for the optimal control | 7 |
that the spread of | 7 |
can be found in | 7 |
it has been observed | 7 |
mathematical model of covid | 7 |
there is no conflict | 7 |
estimated value of the | 7 |
taking into account the | 7 |
the vaccine failure rate | 7 |
study on the dynamics | 7 |
for the seir model | 7 |
analysis in the early | 7 |
of confirmed cases of | 7 |
the effective reproduction number | 7 |
total number of infected | 7 |
outbreaks by isolation of | 7 |
and risk assessment of | 7 |
of the impact of | 7 |
we consider the following | 7 |
model based on the | 7 |
features of patients infected | 7 |
to study the dynamics | 7 |
definition of fractional derivative | 7 |
intra and inter zone | 7 |
and inter zone mobilization | 7 |
of the epidemic and | 7 |
forecasts and risk assessment | 7 |
the characteristic equation of | 7 |
an increase in the | 7 |
model based study on | 7 |
estimation of the number | 7 |
derivative without singular kernel | 7 |
based study on the | 7 |
in the sir model | 7 |
in supplementary material fig | 7 |
driven analysis in the | 7 |
at each time step | 7 |
updated estimation of the | 7 |
equation in the system | 7 |
patients infected with novel | 7 |
individuals in the population | 7 |
the optimal control problem | 7 |
can be defined as | 7 |
the risk of transmission | 7 |
the coupled slow system | 7 |
rest of the world | 7 |
value of the lockdown | 7 |
in the field of | 7 |
of the isolation room | 7 |
the appearance of symptoms | 7 |
the proof of the | 7 |
to the fact that | 7 |
of the pandemic in | 7 |
and implementation of population | 7 |
has been carried out | 7 |
optimal control of a | 7 |
of the next generation | 7 |
rate of new infection | 7 |
on the topic of | 7 |
of new infection cases | 7 |
of asymptomatic infected individuals | 7 |
that is to say | 7 |
by isolation of cases | 7 |
the estimated value of | 7 |
of cases and contacts | 7 |
in the same way | 7 |
a novel coronavirus from | 7 |
we observe that the | 7 |
has a unique positive | 7 |
in the presence of | 7 |
the following system of | 7 |
the behavior of the | 7 |
it is obvious that | 7 |
accumulated number of infected | 7 |
estimation of the basic | 7 |
the number of tests | 7 |
the fractional order sidarthe | 7 |
the fractional derivative order | 7 |
we see that the | 7 |
described by the following | 7 |
the presence of a | 7 |
an updated estimation of | 7 |
likely due to the | 7 |
for simulating the phase | 7 |
fractional derivative without singular | 7 |
second wave of infection | 7 |
with novel coronavirus in | 7 |
virus infection in the | 7 |
the maximum number of | 7 |
in each of the | 7 |
it is important to | 7 |
of virus in the | 7 |
natural science foundation of | 7 |
i r epidemic model | 7 |
the novel coronavirus outbreak | 7 |
is no conflict of | 7 |
the rate at which | 7 |
matrix of fractional differentiation | 7 |
to reduce the number | 7 |
global stability of the | 7 |
for the transmission dynamics | 7 |
global asymptotic stability of | 7 |
sei i r epidemic | 7 |
risk of transmission of | 7 |
the state of texas | 7 |
is related to the | 7 |
the city of jakarta | 7 |
of an epidemic model | 7 |
the effectiveness of the | 7 |
study the dynamics of | 7 |
epidemic and implementation of | 7 |
show that the model | 7 |
free equilibrium is globally | 7 |
of patients infected with | 7 |
pandemic lle variance in | 6 |
amount of virus in | 6 |
from the first equation | 6 |
the sarii q s | 6 |
in the city of | 6 |
reaction and governmental action | 6 |
to spreading of pandemic | 6 |
using reduction in the | 6 |
continuously evolving training data | 6 |
and the existence of | 6 |
due to spreading of | 6 |
be noted that the | 6 |
wide interventions in italy | 6 |
and the effectiveness of | 6 |
the sir model is | 6 |
and move to the | 6 |
spread of the novel | 6 |
the relative cost of | 6 |
markets before pandemic lle | 6 |
when the basic reproduction | 6 |
proof of the theorem | 6 |
a stochastic epidemic model | 6 |
fractional order sei i | 6 |
has been shown in | 6 |
is assumed to be | 6 |
we can see that | 6 |
pandemic apen mean in | 6 |
and asymptotically infected people | 6 |
model to analyze the | 6 |
the myopic update rule | 6 |
model of the covid | 6 |
model with saturated incidence | 6 |
lle variance in stock | 6 |
of the epidemics trend | 6 |
the spreading of the | 6 |
the spread of coronavirus | 6 |
of the asymptomatic infectious | 6 |
of the model is | 6 |
of an infectious disease | 6 |
population due to spreading | 6 |
in the population and | 6 |
the model from scratch | 6 |
epidemic model for the | 6 |
apen mean in cryptocurrency | 6 |
the epidemics trend of | 6 |
a period of time | 6 |
east respiratory syndrome coronavirus | 6 |
of infected population due | 6 |
during the pandemic period | 6 |
the battle against the | 6 |
feasibility of controlling covid | 6 |
is the same as | 6 |
values of fractional order | 6 |
the strict social distancing | 6 |
was supported by the | 6 |
number of coronavirus disease | 6 |
the accumulated number of | 6 |
it is known that | 6 |
has been observed that | 6 |
deep convolutional neural network | 6 |
of the infected individuals | 6 |
at any time t | 6 |
based on the data | 6 |
lle variance in cryptocurrency | 6 |
the number of swabs | 6 |
and the state of | 6 |
of continuously evolving training | 6 |
in the estimated value | 6 |
with a large number | 6 |
we can observe that | 6 |
transmission dynamics with a | 6 |
lle mean in cryptocurrency | 6 |
the normalized forward sensitivity | 6 |
asymptotically stable when r | 6 |
lle mean in stock | 6 |
the disease in the | 6 |
the development of the | 6 |
it is found that | 6 |
results show that the | 6 |
reduction in the estimated | 6 |
epidemics trend of covid | 6 |
epidemiology of infectious diseases | 6 |
of the optimal control | 6 |
an epidemic model with | 6 |
integrating the second equation | 6 |
presence of a large | 6 |
r a ft t | 6 |
of the model and | 6 |
are found to be | 6 |
this study is to | 6 |
the case of covid | 6 |
in the time window | 6 |
signifies the rate of | 6 |
the number of coronavirus | 6 |
order sei i r | 6 |
and optimal control of | 6 |
of severe acute respiratory | 6 |
development of the epidemic | 6 |
have been applied to | 6 |
of the fractional derivative | 6 |
adjusted estimation of the | 6 |
the results of the | 6 |
the onset of the | 6 |
the existence of equilibria | 6 |
case projection using reduction | 6 |
are detected and quarantined | 6 |
stable if r b | 6 |
dynamics with a case | 6 |
pandemic apen variance in | 6 |
pandemic lle mean in | 6 |
apen mean in stock | 6 |
been shown in figure | 6 |
markets during pandemic apen | 6 |
the first day of | 6 |
characteristics of the covid | 6 |
number of infected cases | 6 |
the start of the | 6 |
the severe acute respiratory | 6 |
as we can see | 6 |
the spread of hiv | 6 |
this is not the | 6 |
solutions of the system | 6 |
the fractional optimal control | 6 |
in the battle against | 6 |
coronavirus disease in china | 6 |
in the state of | 6 |
that the mean of | 6 |
in networked population with | 6 |
and the effects of | 6 |
that there are no | 6 |
clinical characteristics of coronavirus | 6 |
can be described by | 6 |
individual reaction and governmental | 6 |
case study of wuhan | 6 |
number of infections and | 6 |
of this study is | 6 |
markets during pandemic lle | 6 |
of the fractional order | 6 |
at the point t | 6 |
characteristics of coronavirus disease | 6 |
as one of the | 6 |
it is shown that | 6 |
to the spread of | 6 |
the total population n | 6 |
a mathematical model to | 6 |
projection using reduction in | 6 |
the observed daily new | 6 |
would like to thank | 6 |
evolution of the covid | 6 |
a total population of | 6 |
markets before pandemic apen | 6 |
the course of the | 6 |
due to the fact | 6 |
epidemic spreading and information | 6 |
the overall number of | 6 |
data set is received | 6 |
end of the season | 6 |
apen variance in stock | 6 |
of the total number | 6 |
the paper is organized | 6 |
the total population of | 6 |
are assumed to be | 5 |
network in the network | 5 |
fractional order model for | 5 |
partial rank correlation coefficient | 5 |
be taken into account | 5 |
move to the asymptomatic | 5 |
can be shown that | 5 |
national natural science foundation | 5 |
are given in the | 5 |
in the initial phase | 5 |
the disease transmission rate | 5 |
total cumulative number of | 5 |
to study the transmission | 5 |
effect of control strategies | 5 |
in terms of the | 5 |
model for coupling within | 5 |
model is able to | 5 |
as compared to the | 5 |
the case of a | 5 |
number of confirmed covid | 5 |
texas in the usa | 5 |
the growth of the | 5 |
reproductive number of covid | 5 |
modified seir and ai | 5 |
the global stability of | 5 |
where the number of | 5 |
mathematical modeling of covid | 5 |
from publicly reported confirmed | 5 |
at a given time | 5 |
this is shown in | 5 |
basic reproduction number and | 5 |
fractional order epidemic model | 5 |
infected people increases with | 5 |
the network visualization display | 5 |
which is assumed to | 5 |
a backward bifurcation at | 5 |
the proposed fractional order | 5 |
and international stock markets | 5 |
two types of spreading | 5 |
in the previous section | 5 |
in addition to the | 5 |
the force of infection | 5 |
the pathogen from the | 5 |
beginning of the quarantine | 5 |
compared to sars coronavirus | 5 |
dynamics of epidemic spreading | 5 |
from patients with pneumonia | 5 |
the expected number of | 5 |
infection facilitates the rapid | 5 |
unique solution of the | 5 |
local and global stability | 5 |
is given in appendix | 5 |
as the number of | 5 |
number of daily new | 5 |
to predict the covid | 5 |
when the value of | 5 |
global sensitivity analysis of | 5 |
probability of disease transmission | 5 |
clusters distributed as follows | 5 |
the context of covid | 5 |
which is shown in | 5 |
number of confirmed infected | 5 |
in the network visualization | 5 |
china under public health | 5 |
at the time of | 5 |
the model parameters are | 5 |
analysis of control strategy | 5 |
the proposed sirsi model | 5 |
network visualization display mode | 5 |
in the dynamics of | 5 |
model can be used | 5 |
undocumented infection facilitates the | 5 |
have the greatest potential | 5 |
model of infected population | 5 |
no more than one | 5 |
is the total number | 5 |
of the infected density | 5 |
a fractional optimal control | 5 |
a new training data | 5 |
the study of the | 5 |
system of ordinary differential | 5 |
have the following results | 5 |
completes the proof of | 5 |
dynamic model of infected | 5 |
root mean square error | 5 |
with pneumonia in china | 5 |
stability of dynamical systems | 5 |
an sir epidemic model | 5 |
is considered to be | 5 |
individuals which is shown | 5 |
more than one sentence | 5 |
novel coronavirus from patients | 5 |
and global stability of | 5 |
analysis of an epidemic | 5 |
used in this study | 5 |
is depicted in figure | 5 |
this model can be | 5 |
the level of stability | 5 |
model from scratch every | 5 |
at least one root | 5 |
to the basic reproduction | 5 |
in controlling the spread | 5 |
the spectral radius of | 5 |
when the number of | 5 |
is higher compared to | 5 |
the risk of being | 5 |
increase the value of | 5 |
total number of covid | 5 |
is found that the | 5 |
let us consider the | 5 |
the fourth equation of | 5 |
in view of the | 5 |
we have clusters distributed | 5 |
of control strategies to | 5 |
we confirm that the | 5 |
of the slow system | 5 |
infected country or region | 5 |
new training data set | 5 |
w is unstable when | 5 |
the total cumulative number | 5 |
we obtain this way | 5 |
estimate the model parameters | 5 |
is considered as the | 5 |
with rate of detection | 5 |
are presented in section | 5 |
rapid dissemination of novel | 5 |
the authors would like | 5 |
numerical solution of fractional | 5 |
different values of the | 5 |
dissemination of novel coronavirus | 5 |
with a total population | 5 |
mathematical epidemiology of infectious | 5 |
specify contribution in more | 5 |
the natural death rate | 5 |
authors would like to | 5 |
for the coronavirus disease | 5 |
infected individuals and the | 5 |
equilibrium w is locally | 5 |
in the united states | 5 |
which means that the | 5 |
the mean of apen | 5 |
coronavirus from patients with | 5 |
the nucleotide mutation rate | 5 |
for the development of | 5 |
contribution in more detail | 5 |
south africa and argentina | 5 |
based on the assumption | 5 |
number of active cases | 5 |
the susceptible population s | 5 |
under public health interventions | 5 |
the presence of the | 5 |
patients with pneumonia in | 5 |
a reduction in the | 5 |
control strategies to reduce | 5 |
next generation matrix method | 5 |
science foundation of china | 5 |
population and aids people | 5 |
dynamics of infectious diseases | 5 |
the only way to | 5 |
the number of the | 5 |
with individual reaction and | 5 |
necessary conditions for the | 5 |
we can say that | 5 |
the unique solution of | 5 |
model to explore the | 5 |
is the average time | 5 |
social distancing rule is | 5 |
to control the disease | 5 |
of the infected population | 5 |
state of the art | 5 |
in the spread of | 5 |
we confirm that we | 5 |
to reduce social mixing | 5 |
one or the other | 5 |
local asymptotic stability of | 5 |
is shown that the | 5 |
dynamics of the model | 5 |
the rapid dissemination of | 5 |
has a unique solution | 5 |
of the disease with | 5 |
it can be shown | 5 |
for the prediction of | 5 |
the disease information diffusion | 5 |
the severity of the | 5 |
the endemic equilibrium point | 5 |
between epidemic spreading and | 5 |
infected population and aids | 5 |
a unique endemic equilibrium | 5 |
of the evolution of | 5 |
local stability of the | 5 |
it can be observed | 5 |
cumulative number of infected | 5 |
since there is no | 5 |
of the proposed hybrid | 5 |
the manuscript has been | 5 |
risk of being infected | 5 |
the outbreak of sars | 5 |
pathogen from the environment | 5 |
the epidemic peak and | 5 |
substantial undocumented infection facilitates | 5 |
the effect of control | 5 |
higher compared to sars | 5 |
the application of the | 5 |
analysis is carried out | 5 |
is governed by the | 5 |
modelling the spread of | 5 |
infected and recovered individuals | 5 |
the infected population i | 5 |
law growth of the | 5 |
of vaccine failure rate | 5 |
every time a new | 5 |
of new cases is | 5 |
study the impact of | 5 |
developed a mathematical model | 5 |
the spread of disease | 5 |
endemic equilibrium point is | 5 |
from scratch every time | 5 |
the stability of dynamical | 5 |
the sensitivity of the | 5 |
as the basic reproduction | 5 |
good agreement with the | 5 |
as shown in table | 5 |
for more details about | 5 |
spread of hiv aids | 5 |
strategies to reduce social | 5 |
brownian motion on s | 5 |
on the nature of | 5 |
for the sir model | 5 |
the peak of infection | 5 |
a large set of | 5 |
in the next section | 5 |
as can be seen | 5 |
infection of cd t | 5 |
be described by the | 5 |
the structure of the | 5 |
existence of backward bifurcation | 5 |
be seen in fig | 5 |
if and only if | 5 |
decrease the number of | 5 |
with different fractional derivative | 5 |
locally asymptotically stable whenever | 5 |
cases and recovered cases | 5 |
under the myopic update | 5 |
the point t n | 5 |
observed daily new covid | 5 |
by the following system | 5 |
in the host will | 5 |
of backward bifurcation in | 5 |
the global asymptotic stability | 5 |
solution of fractional differential | 5 |
total population of n | 5 |
facilitates the rapid dissemination | 5 |
the effect of a | 5 |
have clusters distributed as | 5 |
when compared to the | 5 |
in china under public | 5 |
this leads to a | 5 |
seen in supplementary material | 5 |
take into account the | 5 |
and forecasting of the | 5 |
publicly reported confirmed cases | 5 |
the outbreak of the | 5 |
the endemic equilibrium is | 5 |
the number of people | 5 |
prediction of the epidemics | 5 |
scratch every time a | 5 |
is said to be | 5 |
deaths and recovered cases | 5 |
the necessary conditions for | 5 |
prediction of the epidemic | 5 |
of the cumulative number | 5 |
for fractional differential equations | 5 |
the isolated slow system | 5 |
reduce social mixing on | 5 |
the disease persists in | 5 |
the performance of the | 5 |
time a new training | 5 |
and that there are | 4 |
in the range of | 4 |
in this study is | 4 |
the epidemic spreading probability | 4 |
for the first time | 4 |
order model for the | 4 |
follows from the third | 4 |
an artificial neural network | 4 |
of the pathogen from | 4 |
control of the covid | 4 |
lockdown save mankind before | 4 |
until the end of | 4 |
paper is structured as | 4 |
estimating the asymptomatic proportion | 4 |
of texas in the | 4 |
always has a disease | 4 |
at the final state | 4 |
host dynamics in environmentally | 4 |
the initial value problem | 4 |
proportion of coronavirus disease | 4 |
the reason is that | 4 |
the impact of lockdown | 4 |
one of the key | 4 |
masks in public places | 4 |
to find out the | 4 |
mathematical modeling of the | 4 |
the topic discussion rate | 4 |
s of radius a | 4 |
the final size of | 4 |
with each other for | 4 |
hubei province in china | 4 |
days since the first | 4 |
the model shows that | 4 |
the most influential parameters | 4 |
pharmaceutical interventions on curtailing | 4 |
at any given time | 4 |
by the sir model | 4 |
considered to be the | 4 |
and recovered cases of | 4 |
control and capacity constraints | 4 |
increase in the susceptible | 4 |
impact of public health | 4 |
of the epidemic is | 4 |
we observe as the | 4 |
a new study on | 4 |
epidemic spreading and disease | 4 |
an important role in | 4 |
as in the case | 4 |
set the control measures | 4 |
time of the virus | 4 |
the probability distribution function | 4 |
control of the epidemic | 4 |
globally asymptotically stable for | 4 |
fractional optimal control problems | 4 |
infection from an asymptomatic | 4 |
as well as to | 4 |
is consistent with the | 4 |
to fight against the | 4 |
the epidemic of covid | 4 |
diagram of function h | 4 |
compared with the case | 4 |
the simulation results of | 4 |
result of contacting among | 4 |
is defined as the | 4 |
the complexity of the | 4 |
class of asymptomatic infectives | 4 |
of confirmed cases in | 4 |
the infected individual is | 4 |
it is worth noting | 4 |
a mathematical model that | 4 |
the value of r | 4 |
to predict the peak | 4 |
and the impact of | 4 |
the disease and to | 4 |
time forecasts of the | 4 |
dynamics of the etiological | 4 |
numbers and subthreshold endemic | 4 |
incubation period of coronavirus | 4 |
is smaller than the | 4 |
the dynamics and the | 4 |
the same as in | 4 |
is applied to the | 4 |
in india and effectiveness | 4 |
have more communication and | 4 |
a unique positive root | 4 |
a numerical solution of | 4 |
disease persists in the | 4 |
is due to the | 4 |
can be reduced to | 4 |
by severe acute respiratory | 4 |
number of new infections | 4 |
a conceptual model for | 4 |
from the onset of | 4 |
to show that the | 4 |
for the other countries | 4 |
decay of the pathogen | 4 |
and d is the | 4 |
the sirsi model is | 4 |
new definition of fractional | 4 |
of reported infectious cases | 4 |
the mean value function | 4 |
to predict the epidemic | 4 |
of the proposed fractional | 4 |
with the case without | 4 |
of newly infected people | 4 |
optimal control strategies for | 4 |
secondary infection seeded by | 4 |
parameters are given in | 4 |
to accurately predict the | 4 |
equilibrium is locally asymptotically | 4 |
the sum of the | 4 |
is assumed to have | 4 |
there is need to | 4 |
down the epidemic spreading | 4 |
the height of the | 4 |
take care of the | 4 |
and ai prediction of | 4 |
seir and ai prediction | 4 |
the case without control | 4 |
epidemic analysis of covid | 4 |
a new mathematical model | 4 |
stop the spread of | 4 |
the daily number of | 4 |
and active the control | 4 |
the epidemic topic search | 4 |
of hiv infection of | 4 |
numerical solution of differential | 4 |
for disease control and | 4 |
with bar chart representation | 4 |
see table and table | 4 |
strict social distancing in | 4 |
analysis of fractional differential | 4 |
infected female sex workers | 4 |
been carried out to | 4 |
effects of changing the | 4 |
the evolution of this | 4 |
equations of fractional order | 4 |
the i ic class | 4 |
also given in fig | 4 |
on the disease spread | 4 |
is lower than that | 4 |
t dg p r | 4 |
in the current study | 4 |
of the standard sir | 4 |
the jacobian matrix of | 4 |
a result of contacting | 4 |
a new definition of | 4 |
to better understand the | 4 |
number of infections is | 4 |
the effect of social | 4 |
second wave of infections | 4 |
parameters are estimated from | 4 |
we may conclude that | 4 |
optimization algorithm based on | 4 |
be related to the | 4 |
a continuous dynamic behavior | 4 |
set of parameter values | 4 |
two time periods is | 4 |
approach for the numerical | 4 |
consider a mathematical model | 4 |
to inoculate the vaccine | 4 |
factors with rate of | 4 |
solution of the proposed | 4 |
theorem is given in | 4 |
rmse and r score | 4 |
is structured as follows | 4 |
for the disease to | 4 |
after a period of | 4 |
the model can be | 4 |
the sir model and | 4 |
is to analyze the | 4 |
model to characterize the | 4 |
mixing on outcomes of | 4 |
the effects of changing | 4 |
effectiveness of preventive measures | 4 |
the city of wuhan | 4 |
nonlinear ordinary differential equations | 4 |
model of hiv infection | 4 |
of novel corona virus | 4 |
of the most important | 4 |
number of cases and | 4 |
assess the evolution of | 4 |
per unit of time | 4 |
number of cases in | 4 |
reported with bar chart | 4 |
for each of the | 4 |
to account for the | 4 |
the fractional differential equations | 4 |
interventions on curtailing the | 4 |
of the disease are | 4 |
number of individuals in | 4 |
a numerical scheme for | 4 |
number of cases of | 4 |
are two types of | 4 |
as it can be | 4 |
models have been developed | 4 |
hiv infection of cd | 4 |
save mankind before vaccination | 4 |
purpose of this study | 4 |
models for infectious diseases | 4 |
the rate of change | 4 |
in standalone or hybridized | 4 |
publicly available data from | 4 |
that the total number | 4 |
a ft t g | 4 |
china with individual reaction | 4 |
is the length of | 4 |
that number of infected | 4 |
been assumed to be | 4 |
after the start of | 4 |
a basic reproduction number | 4 |
the probability that the | 4 |
a new approach for | 4 |
is worth noting that | 4 |
from to a we | 4 |
to assess the evolution | 4 |
to model the spread | 4 |
the number of covid | 4 |
results of the covid | 4 |
locally asymptotically stable when | 4 |
the magnitude of the | 4 |
of the model parameters | 4 |
the evolution of covid | 4 |
estimation of epidemiological parameters | 4 |
and effectiveness of preventive | 4 |
number of isolated individuals | 4 |
number of active infected | 4 |
the state and co | 4 |
short period of time | 4 |
are used in the | 4 |
used to predict the | 4 |
this shows that the | 4 |
has become a pandemic | 4 |
in the world and | 4 |
the parameters in systems | 4 |
agent of sars in | 4 |
deaths due to covid | 4 |
to predict the future | 4 |
forecasting the spread of | 4 |
to take care of | 4 |
able to predict the | 4 |
the transition density function | 4 |
transmission of the virus | 4 |
is the unique solution | 4 |
an increasing number of | 4 |
dynamics and mitigation scenarios | 4 |
conceptual model for the | 4 |
for the proof of | 4 |
on the transmission of | 4 |
responses are reported in | 4 |
modeling of epidemic diseases | 4 |
is it difficult to | 4 |
people in the country | 4 |
is unstable when r | 4 |
forecasting using lstm networks | 4 |
the overall population of | 4 |
number is less than | 4 |
the expected values of | 4 |
ai prediction of the | 4 |
mathematical assessment of the | 4 |
model to forecast the | 4 |
the case of china | 4 |
states and overall india | 4 |
the rate of recovery | 4 |
battle against the covid | 4 |
from the environment by | 4 |
chinese center for disease | 4 |
etiological agent of sars | 4 |
of the epidemic peaks | 4 |
behavioral change for susceptibles | 4 |
approved by all named | 4 |
based on the pairwise | 4 |
to take into account | 4 |
model to fit the | 4 |
is shown in table | 4 |
of wuhan novel coronavirus | 4 |
data of the covid | 4 |
without loss of generality | 4 |
for the parameters of | 4 |
virus into the environment | 4 |
solution of differential equations | 4 |
of infection as a | 4 |
leads to the following | 4 |
the etiological agent of | 4 |
beginning of the pandemic | 4 |
obtain the following eigenvalue | 4 |
the actual number of | 4 |
have shown that the | 4 |
sir model and the | 4 |
contacting among a susceptible | 4 |
stability results of the | 4 |
the standard sir model | 4 |
model for the coronavirus | 4 |
the lockdown save mankind | 4 |
compared with real data | 4 |
the fraction of vaccinated | 4 |
role as a route | 4 |
has at least one | 4 |
on the assumption that | 4 |
reproduction numbers and subthreshold | 4 |
on a boundary arc | 4 |
the informed individuals would | 4 |
beginning of the epidemic | 4 |
of the fast system | 4 |
training data set is | 4 |
time delay to become | 4 |
onset of the epidemic | 4 |
is given by where | 4 |
wearing face masks in | 4 |
to deal with the | 4 |
transmission of the disease | 4 |
this paper is structured | 4 |
the lives of doctors | 4 |
the interaction radius r | 4 |
the sensitivity analysis of | 4 |
which leads to the | 4 |
of the infected and | 4 |
zone mobilization factors with | 4 |
pharmaceutical interventions on the | 4 |
of sars in hong | 4 |
compared to that of | 4 |
types of spreading dynamics | 4 |
delayed sir epidemic model | 4 |
with the increase of | 4 |
the greatest potential of | 4 |
an optimal regression tree | 4 |
analysis of the covid | 4 |
there will be a | 4 |
we know that the | 4 |
are presented in the | 4 |
of the pandemic and | 4 |
mathematical modelling of human | 4 |
number of infections in | 4 |
infection as a result | 4 |
the global sensitivity analysis | 4 |
by all named authors | 4 |
can be explained by | 4 |
in the infected population | 4 |
the average level of | 4 |
are shown in figure | 4 |
epidemiological parameters and epidemic | 4 |
the local outbreak of | 4 |
fractional derivatives with nonlocal | 4 |
to explore the transmission | 4 |
it can be easily | 4 |
or the other of | 4 |
the epidemic dynamics and | 4 |
play a major role | 4 |
v and active the | 4 |
different fractional derivative order | 4 |
study the transmission dynamics | 4 |
level of stability in | 4 |
modelling of human liver | 4 |
on curtailing the novel | 4 |
of cases and deaths | 4 |
of the disease and | 4 |
both locally and globally | 4 |
cumulative case projection using | 4 |
is the class of | 4 |
of days between matches | 4 |
may not be as | 4 |
in most of the | 4 |
that the increase in | 4 |
the initial conditions are | 4 |
based on riesz wavelets | 4 |
these two types of | 4 |
and application to heat | 4 |
in good agreement with | 4 |
it is interesting to | 4 |
of epidemiological parameters and | 4 |
asymptotically stable whenever r | 4 |
the end of this | 4 |
daily notified case projection | 4 |
epidemic and disease information | 4 |
spread of this disease | 4 |
can the lockdown save | 4 |
a pure birth process | 4 |
of fractional differentiation on | 4 |
spreading and disease information | 4 |
the asymptomatic proportion of | 4 |
we have seen that | 4 |
study on the mathematical | 4 |
curtailing the novel coronavirus | 4 |
delay to become cure | 4 |
india and effectiveness of | 4 |
the spreading of covid | 4 |
that the implementation of | 4 |
of contacting among a | 4 |
in the caputo sense | 4 |
the following eigenvalue problem | 4 |
sir model can be | 4 |
the topic with the | 4 |
of the arima model | 4 |
per people in the | 4 |
of a fractional order | 4 |
cases on board the | 4 |
on the mathematical modelling | 4 |
the number of publications | 4 |
like to thank the | 4 |
sars in hong kong | 4 |
the diagram of function | 4 |
partial derivatives of f | 4 |
of the endemic equilibrium | 4 |
in order to obtain | 4 |
results are shown in | 4 |
of the new fractional | 4 |
the early stages of | 4 |
effective reproduction number r | 4 |
threshold endemic equilibria for | 4 |
with saturated incidence rate | 4 |
that the total population | 4 |
it is observed from | 4 |
a short period of | 4 |
parameters and epidemic predictions | 4 |
bar chart representation in | 4 |
early estimation of epidemiological | 4 |
this is because the | 4 |
globally asymptotically stable when | 4 |
the aim of this | 4 |
increasing the rate of | 4 |
the virus into the | 4 |
using the proposed model | 4 |
the largest lyapunov exponent | 4 |
in this study we | 4 |
it was found that | 4 |
characteristic equation of system | 4 |
model with general incidence | 4 |
can see that the | 4 |
a we can obtain | 4 |
mortality and healthcare demand | 4 |
are estimated from the | 4 |
the national natural science | 4 |
that can be used | 4 |
proposed model can be | 4 |
among a susceptible case | 4 |
with optimal control analysis | 4 |
can be observed from | 4 |
the distribution of the | 4 |
of novel coronavirus infections | 4 |
r with respect to | 4 |
with the novel coronavirus | 4 |
for the fractional optimal | 4 |
spreading in networked population | 4 |
section is devoted to | 4 |
in the following theorem | 4 |
confirm that we have | 4 |
the length of the | 4 |
on board the diamond | 4 |
the virus infection in | 4 |
the ministry of interior | 4 |
the mathematical modelling of | 4 |
a ib satisfying a | 4 |
average number of new | 4 |
for the rest of | 4 |
more than of population | 4 |
the solutions of the | 4 |
of the epidemic spreading | 4 |
across the two time | 4 |
beltrami operator on s | 4 |
social mixing on outcomes | 4 |
by the fact that | 4 |
board the diamond princess | 4 |
disease control and prevention | 4 |
it is evident that | 4 |
the individuals in the | 4 |
on the diamond princess | 4 |
the chinese center for | 4 |
on outcomes of the | 4 |
a recovered person to | 4 |
we conclude that the | 4 |
model the spread of | 4 |
standalone or hybridized mode | 4 |
modeling of the spread | 4 |
assessment of the impact | 4 |
during the rest of | 4 |
inter zone mobilization factors | 4 |
the induced optimization problem | 4 |
face masks in public | 4 |
the first days of | 4 |
a huge amount of | 4 |
in the proposed model | 4 |
dashboard to track covid | 4 |
positivity and boundedness of | 4 |
with the real data | 4 |
is the implementation of | 4 |
the endemic equilibrium of | 4 |
novel coronavirus outbreak in | 4 |
after the beginning of | 4 |
declare that there is | 4 |
the definition of fractional | 4 |
the trend of the | 4 |
that the model is | 4 |
in a similar way | 4 |
rate of disease transmission | 4 |
the theme of covid | 4 |
average time delay to | 4 |
interventions such as social | 4 |
the probability of having | 4 |
markets before the pandemic | 4 |
can be interpreted as | 4 |
reproduction number is less | 4 |
period of the disease | 4 |
operating procedures have been | 4 |
solution of the model | 4 |
growth of the cumulative | 4 |
makes it possible to | 4 |
ml and ai technology | 4 |
of ml and ai | 4 |
the transmission dynamics and | 4 |
than that of the | 4 |
number of new covid | 4 |
the proposed hybrid model | 4 |
outcomes of the covid | 4 |
growth of the number | 4 |
of human liver with | 4 |
proposed fractional order sei | 4 |
for a recovered person | 4 |
a total of days | 4 |
in the ncbi genbank | 4 |
the two time periods | 4 |
to stop the spread | 4 |
long short term memory | 4 |
of the paper is | 4 |
mobilization factors with rate | 4 |
a susceptible case and | 4 |
are depicted in fig | 4 |
is also given in | 4 |
given by the following | 4 |
of infected individuals from | 4 |
of deaths at the | 4 |
are listed in table | 4 |
infection from the environment | 4 |
the epidemic starts to | 4 |
rate of change of | 4 |
to a we can | 4 |
a given time t | 4 |
number of deaths at | 4 |
and subthreshold endemic equilibria | 4 |
to tackle the pandemic | 4 |
more sensitive to the | 4 |
difficult to accurately predict | 4 |
increases with increment in | 4 |
daily new cases data | 4 |
for the solution of | 4 |
obtain this way a | 4 |
the model parameters using | 4 |
the eigenvalues of this | 4 |
of theorem is given | 4 |
we can write the | 4 |
is not the case | 4 |
are given in section | 4 |
from the preventive isolation | 4 |
the epidemic spreading process | 4 |
in more than countries | 4 |
when the rate of | 4 |
a new type of | 4 |
the size of the | 4 |
of the confirmed cases | 4 |
asymptomatic proportion of coronavirus | 4 |
epidemic in china from | 4 |
that the peak of | 4 |
virus in the host | 4 |
the novel coronavirus disease | 4 |
of infected players at | 4 |
we would like to | 4 |
both intra and inter | 4 |
value of the basic | 4 |
stability and irregularity in | 4 |
we set the control | 4 |
to describe the dynamics | 4 |
w is globally asymptotically | 4 |
come down to from | 4 |
reproduction number r t | 4 |
class are detected and | 4 |
based dashboard to track | 4 |
time from infection to | 4 |
equations of the system | 4 |
and of the asymptomatic | 4 |
and mitigation scenarios of | 4 |
of the exposed class | 4 |
reduce the spread of | 4 |
surges in the number | 4 |
fraction of vaccinated individuals | 4 |
of differential equations of | 4 |
to heat transfer model | 4 |
by the new coronavirus | 4 |
given in the following | 4 |
prediction for the spread | 4 |
of the total population | 4 |
during the first days | 4 |
the turning point and | 4 |
to model the covid | 4 |
of the state variables | 4 |
reproduction numbers and sub | 4 |
differential equations of fractional | 4 |
large set of asymptomatic | 4 |
effect of social distancing | 4 |
decreased due to natural | 4 |
application to heat transfer | 4 |
transmission dynamics of hiv | 4 |
derivatives with nonlocal and | 4 |
the local asymptotic stability | 4 |
new fractional derivatives with | 4 |
with respect to t | 4 |
of india and the | 4 |
the latin hypercube sampling | 4 |
order epidemic model for | 4 |
to study the impact | 4 |
multiplicative fractional white noise | 4 |
to publicly available data | 4 |
epidemic model with saturated | 4 |
after the end of | 4 |
solutions of the model | 4 |
of infected people increases | 4 |
can also be seen | 4 |
is able to predict | 4 |
it difficult to accurately | 4 |
as the spectral radius | 4 |
is given in the | 4 |
of the etiological agent | 4 |
dynamics of the infection | 4 |
is in good agreement | 4 |
theory and application to | 4 |
on the pairwise approach | 4 |
algorithm for the numerical | 4 |
proof of theorem is | 4 |
accurately predict the covid | 4 |
in the real world | 4 |
rate of infection as | 4 |
modeling the impact of | 4 |
new study on the | 4 |
of fractional order differential | 4 |
corrector approach for the | 4 |
between these two types | 4 |
optimal control problem is | 4 |
unstable when r b | 4 |
subthreshold endemic equilibria for | 4 |
why is it difficult | 4 |
explore the impact of | 4 |
reproduction number r is | 4 |
asymptotic stability of the | 4 |
for important intellectual content | 4 |
the covid epidemic in | 4 |
period of coronavirus disease | 4 |
the findings of this | 4 |
number of the infected | 4 |
the impact of different | 4 |
state of texas in | 4 |
final size and epidemic | 3 |
the infection rate of | 3 |
in a variety of | 3 |
for the same limited | 3 |
it is well known | 3 |
of the reproduction number | 3 |
have the following result | 3 |
can help the government | 3 |
the system of eqs | 3 |
of quarantine control in | 3 |
investigate the effect of | 3 |
effect in some states | 3 |
of infectious diseases and | 3 |
are known to be | 3 |
that there has been | 3 |
disease free equilibrium e | 3 |
we recall some basic | 3 |
control measures v and | 3 |
the model dynamics are | 3 |
using the concept of | 3 |
a large class of | 3 |
if this is not | 3 |
in the assessment of | 3 |
the use of a | 3 |
stable if r and | 3 |
optimal control of the | 3 |
death cases and recovered | 3 |
jacobian to zero gives | 3 |
characteristics of and important | 3 |
most of the population | 3 |
real data for the | 3 |
are based on the | 3 |
a delayed sir epidemic | 3 |
the same as that | 3 |
span of the epidemic | 3 |
mathematical study on covid | 3 |
used in the model | 3 |
the period from january | 3 |
individual is introduced into | 3 |
of infections and the | 3 |
is described by the | 3 |
the exposed individuals which | 3 |
is presented in figure | 3 |
four transport equations are | 3 |
are employed in the | 3 |
found to be the | 3 |
since the beginning of | 3 |
phases at day with | 3 |
increasing the number of | 3 |
in order to estimate | 3 |
equilibrium u is globally | 3 |
the cumulative case incidence | 3 |
the report of new | 3 |
equation for this jacobian | 3 |
the impact of awareness | 3 |
the time profile of | 3 |
the epidemic can be | 3 |
a route that spread | 3 |
null that the mean | 3 |
optimal control for a | 3 |
of a large class | 3 |
important lessons from the | 3 |
dynamics of the epidemic | 3 |
fractional calculus and fractional | 3 |
china by dynamical modeling | 3 |
predict the behavior of | 3 |
that the immunity acquired | 3 |
stabilize at a positive | 3 |
of changing the fractional | 3 |
india and the predicted | 3 |
p r n fx | 3 |
claim the following result | 3 |
summary of a report | 3 |
reported in the literature | 3 |
of infected population of | 3 |
lyapunov functions for fractional | 3 |
rate of new infections | 3 |
order on the system | 3 |
strategy to minimize the | 3 |
the asymptomatic duration as | 3 |
it makes sense to | 3 |
number of recovered cases | 3 |
attack rate of the | 3 |
it is given by | 3 |
effect of quarantine control | 3 |
will be used to | 3 |
with external source for | 3 |
the epidemic peak of | 3 |
are presented in fig | 3 |
quarantine measures and economic | 3 |
using the estimated parameters | 3 |
deaths at the time | 3 |
jacobian at the dfe | 3 |
during pandemic apen mean | 3 |
it is important that | 3 |
measures v and v | 3 |
relax the social distance | 3 |
seir infectious disease model | 3 |
next generation matrix f | 3 |
first case was reported | 3 |
using these values in | 3 |
in the report of | 3 |
a larger fraction of | 3 |
a sir epidemic model | 3 |
is the maximum number | 3 |
diagnosis of the coronavirus | 3 |
given to the aware | 3 |
is local asymptotically stable | 3 |
into account the presence | 3 |
lockdown effect in some | 3 |
of strict social distancing | 3 |
fractional order derivative have | 3 |
we have shown that | 3 |
of confirmed infected cases | 3 |
have also been used | 3 |
the codon mutation rate | 3 |
it was also shown | 3 |
is yet to be | 3 |
longer period of time | 3 |
model for the covid | 3 |
parameters used in the | 3 |
infected individuals by the | 3 |
and it can be | 3 |
can be found that | 3 |
class and of the | 3 |
the endemic equilibrium points | 3 |
the optimal control is | 3 |
we introduce the following | 3 |
of relative cost of | 3 |
the mutation rates for | 3 |
the early stage of | 3 |
the isolation room with | 3 |
a consequence of the | 3 |
the dynamics of epidemic | 3 |
enough to contain the | 3 |
modeling the epidemic dynamics | 3 |
the need to retrain | 3 |
a time delay dynamic | 3 |
hence by theorem above | 3 |
known as the basic | 3 |
to become smir model | 3 |
for the local outbreak | 3 |
based on estimates from | 3 |
an algorithm for the | 3 |
of spread of the | 3 |
is equivalent increase in | 3 |
the possibility of a | 3 |
fit the model to | 3 |
in the first phase | 3 |
is used for the | 3 |
rate at which the | 3 |
interventions on the dynamics | 3 |
formulation of the model | 3 |
the variability in stability | 3 |
which implies that the | 3 |
in the high risk | 3 |
coronavirus disease in japan | 3 |
the same limited resources | 3 |
number r b and | 3 |
to the zero eigenvalue | 3 |
have been used to | 3 |
the problem of endemicity | 3 |
the global financial crisis | 3 |
nonlinear fractional differential equation | 3 |
the result of this | 3 |
asymptomatic duration as well | 3 |
cells in the host | 3 |
dynamics and describe biological | 3 |
analogous to a mixing | 3 |
order sir model with | 3 |
predict the scale and | 3 |
which is close to | 3 |
between individuals and common | 3 |
one and only one | 3 |
pcr testing in coronavirus | 3 |
day of major government | 3 |
of a sir epidemic | 3 |
the following initial conditions | 3 |
estimated parameter values are | 3 |
definition of the new | 3 |
after the day of | 3 |
for confirmation of covid | 3 |
the roots of the | 3 |
the dynamics and mitigation | 3 |
conditions for the optimality | 3 |
the mild cases increases | 3 |
the local and global | 3 |
to a value less | 3 |
the effect of quarantine | 3 |
a new fractional hrsv | 3 |
takes the following form | 3 |
is expected to take | 3 |
the mild cases as | 3 |
a longer period of | 3 |
newly developed optimization algorithm | 3 |
of global health concern | 3 |
slow down the epidemic | 3 |
the first case of | 3 |
for fractional order systems | 3 |
individuals in the i | 3 |
the novel coronavirus indicating | 3 |
of the control strategies | 3 |
been proposed to model | 3 |
optimal control of an | 3 |
differential equations with fractional | 3 |
changing the infection rates | 3 |
to fit the model | 3 |
cases infected with covid | 3 |
hypothesis of equality of | 3 |
control of a delayed | 3 |
changes in the state | 3 |
early detection of asymptomatic | 3 |
the null that the | 3 |
eigenvalues of this system | 3 |
an optimal control problem | 3 |
the rmse error is | 3 |
model with nonlinear incidence | 3 |
the epidemiological implication of | 3 |
and disease information diffusion | 3 |
the stereographic projection coordinates | 3 |
exponential increase in the | 3 |
of the novel covid | 3 |
can be regarded as | 3 |
significant impact on the | 3 |
ft tg p r | 3 |
one of the main | 3 |
number of contacts per | 3 |
time profile of the | 3 |
number of deaths in | 3 |
to international stock markets | 3 |
the time of dfe | 3 |
final size of the | 3 |
world health organization coronavirus | 3 |
of infectious disease dynamics | 3 |
number of secondary infections | 3 |
by tang et al | 3 |
n n a n | 3 |
of being detected as | 3 |
used to solve the | 3 |
the positivity and boundedness | 3 |
is taken from the | 3 |
i and a d | 3 |
of the infected people | 3 |
the main contributions of | 3 |
a harmonic oscillator with | 3 |
secondary infections generated by | 3 |
caputo fractional derivative of | 3 |
effect of the control | 3 |
for a safe return | 3 |
and stock markets exhibit | 3 |
size of the outbreak | 3 |
novel coronavirus outbreak of | 3 |
set of asymptomatic infectives | 3 |
in view of these | 3 |
in the class and | 3 |
of the brownian motion | 3 |
peak number of cases | 3 |
the spread of this | 3 |
size on the diamond | 3 |
that the contact rate | 3 |
using three different techniques | 3 |
cryptocurrency markets before the | 3 |
of infection in the | 3 |
during the pandemic time | 3 |
interval of novel coronavirus | 3 |
most effective way of | 3 |
infectious disease caused by | 3 |
is much faster than | 3 |
if there is a | 3 |
time series of covid | 3 |
has been used to | 3 |
is set to be | 3 |
is shown in the | 3 |
the novel corona virus | 3 |
well as the contact | 3 |
be noted that we | 3 |
as remedial steps in | 3 |
the set of parameters | 3 |
the incubation period and | 3 |
dynamics on the network | 3 |
the day of major | 3 |
of novel coronavirus with | 3 |
of pneumonia of unknown | 3 |
unquarantined asymptomatic infectious to | 3 |
quantifying the effect of | 3 |
india is shown in | 3 |
case study of the | 3 |
leads to a contradiction | 3 |
an asymptomatic contact in | 3 |
possible control of the | 3 |
in the novel coronavirus | 3 |
given in the table | 3 |
analyse the impact of | 3 |
that the solution of | 3 |
spread the disease to | 3 |
the eigenvalues of the | 3 |
mathematical argument of theorem | 3 |
due to the time | 3 |
on the effect of | 3 |
be efficient if more | 3 |
u is globally asymptotically | 3 |
international journal of infectious | 3 |
effectiveness of the quarantine | 3 |
rate of infection from | 3 |
enable people to have | 3 |
cumulative number of symptomatic | 3 |
relaxing the strict social | 3 |
the delay between the | 3 |
of this disease is | 3 |
of asymptomatic cases is | 3 |
results of the disease | 3 |
of coupled ordinary differential | 3 |
as long as the | 3 |
to be noted that | 3 |
for the treatment of | 3 |
which corresponds to the | 3 |
disease there is need | 3 |
third equation of system | 3 |
in rio de janeiro | 3 |
sphere s of radius | 3 |
the outbreak of novel | 3 |
an euler type numerical | 3 |
in this group are | 3 |
the contact and containment | 3 |
population phases at day | 3 |
of extended legendre polynomial | 3 |
a modified sir model | 3 |
smooth function f on | 3 |
of the effective reproduction | 3 |
the graphs of the | 3 |
travel restrictions on the | 3 |
assess the impact of | 3 |
sir model for covid | 3 |
asymptotic stability of disease | 3 |
endemic equilibrium when r | 3 |
of infection from the | 3 |
each other for a | 3 |
accommodate surges in the | 3 |
by the national natural | 3 |
health organization declares global | 3 |
of social distancing measures | 3 |
of public health interventions | 3 |
presented in the table | 3 |
the necessary optimality conditions | 3 |
in any of the | 3 |
and the uk are | 3 |
the number of secondary | 3 |
forecasting of the covid | 3 |
were obtained from the | 3 |
system with external source | 3 |
of basic reproduction number | 3 |
that significantly affect the | 3 |
external source for the | 3 |
with the total number | 3 |
of the parameters of | 3 |
on the epidemic spreading | 3 |
or knowledge of individuals | 3 |
of pneumonia associated with | 3 |
human liver with caputo | 3 |
the relationship between the | 3 |
by the time s | 3 |
values of relative cost | 3 |
the success of the | 3 |
the stability of the | 3 |
wuhan city of china | 3 |
the topic of origin | 3 |
using a newly developed | 3 |
the experience or knowledge | 3 |
there is equivalent increase | 3 |
model to understand the | 3 |
ncov infection from an | 3 |
the most effective way | 3 |
the partial rank correlation | 3 |
reduce the risk of | 3 |
of the caputo fractional | 3 |
the number of exposed | 3 |
essential causal variables that | 3 |
without detected including death | 3 |
during the h n | 3 |
in the first half | 3 |
with the aim to | 3 |
there is a unique | 3 |
end of this year | 3 |
novel coronavirus has been | 3 |
dependent on the number | 3 |
the proposed model and | 3 |
dimensional sphere s of | 3 |
used in the mathematical | 3 |
have been used in | 3 |
an seir infectious disease | 3 |
the phase plane of | 3 |
to the vaccine failure | 3 |
and drug vaccine development | 3 |
into the environment by | 3 |
hrsv model and its | 3 |
a smooth function f | 3 |
for the optimality of | 3 |
listed in the table | 3 |
number of susceptible people | 3 |
in stability and irregularity | 3 |
sufficient condition for the | 3 |
could be used to | 3 |
control strategy for the | 3 |
be found in the | 3 |
the diffusion of disease | 3 |
virus pathogen in the | 3 |
of changing the infection | 3 |
individuals move to the | 3 |
help the government to | 3 |
governed by the following | 3 |
disease starts to spread | 3 |
if there were no | 3 |
caused by the virus | 3 |
a novel coronavirus outbreak | 3 |
is obvious that the | 3 |
of infection of the | 3 |
individuals in the society | 3 |
will be applied to | 3 |
rebuild the model from | 3 |
we deal with the | 3 |
c and vaccine failure | 3 |
this class of models | 3 |
trapped into an isolated | 3 |
of spatial spread relationships | 3 |
and the dynamics of | 3 |
reached at time t | 3 |
corresponding to the zero | 3 |
need to take care | 3 |
the number of persons | 3 |
here we see that | 3 |
duration of the pandemic | 3 |
presumed asymptomatic carrier transmission | 3 |
of the function f | 3 |
for the mean value | 3 |
findings of this study | 3 |
coupled ordinary differential equations | 3 |
of a change in | 3 |
predictive mathematical study on | 3 |
the dynamics of transmission | 3 |
optimal control problem by | 3 |
peak of coronavirus disease | 3 |
global dynamics of a | 3 |
fractional optimal control of | 3 |
stability in price dynamics | 3 |
globally asymptotically stable in | 3 |
scenario of continuously evolving | 3 |
level of regularity compared | 3 |
for disease prevention and | 3 |
containment can be efficient | 3 |
application of the arima | 3 |
and active immune system | 3 |
analysis with a case | 3 |
important to note that | 3 |
and then the expectation | 3 |
to numerically model the | 3 |
the fractional order necessary | 3 |
spread relationships of coronavirus | 3 |
neural network model for | 3 |
of the country and | 3 |
to have more communication | 3 |
disease caused by a | 3 |
days from the onset | 3 |
evolution of the pandemic | 3 |
number of asymptomatic patients | 3 |
the size of r | 3 |
in an increase in | 3 |
and analysis of the | 3 |
pathogen in the environment | 3 |
of equality of means | 3 |
correlation of chest ct | 3 |
spreading of the coronavirus | 3 |
the dynamics on the | 3 |
network model for covid | 3 |
can be efficient if | 3 |
of stochastic differential equations | 3 |
was found to be | 3 |
of this system are | 3 |
spread the virus to | 3 |
to adopt the vaccine | 3 |
the operational matrix of | 3 |
differential equations with applications | 3 |
then the endemic equilibrium | 3 |
indicating that the increase | 3 |
numerically model the laminar | 3 |
application of the proposed | 3 |
parameters such as the | 3 |
to reduce the risk | 3 |
only a moderate effect | 3 |
can be explored in | 3 |
infected people i p | 3 |
the direct adjoining approach | 3 |
rest of the paper | 3 |
and important lessons from | 3 |
fractional derivative with mittag | 3 |
activity in the system | 3 |
relaxing the social distancing | 3 |
in the mathematical argument | 3 |
from the first day | 3 |
we can get following | 3 |
and references therein for | 3 |
is presented in section | 3 |
for the purpose of | 3 |
arima model on the | 3 |
serial interval of novel | 3 |
the per capita rate | 3 |
the impact of various | 3 |
the parameters of fig | 3 |
below which the epidemic | 3 |
to assume that the | 3 |
patient in future time | 3 |
before and during covid | 3 |
in this paper is | 3 |
the rate of disease | 3 |
input deep convolutional neural | 3 |
stock markets before and | 3 |
value less than unity | 3 |
of the system is | 3 |
order to numerically model | 3 |
derivative have rich dynamics | 3 |
for systems science and | 3 |
infection of the mild | 3 |
of regularity compared to | 3 |
lessons from the coronavirus | 3 |
data from different countries | 3 |
in some states and | 3 |
outbreak size on the | 3 |
the propagation of the | 3 |
that an infected individual | 3 |
recovered person becomes susceptible | 3 |
transition density function p | 3 |
of an sir epidemic | 3 |
of virus y at | 3 |
the epidemic and the | 3 |
individuals in a population | 3 |
is the time when | 3 |
susceptible individuals can be | 3 |
account the undetected infections | 3 |
familial cluster of pneumonia | 3 |
the extinction and the | 3 |
of the virus is | 3 |
the number of healthy | 3 |
numerical simulation of the | 3 |
model is presented in | 3 |
dg p r n | 3 |
outbreaks as well as | 3 |
in future time has | 3 |
epidemic topic search volume | 3 |
condom use for exposed | 3 |
a predictive mathematical study | 3 |
extinction and the persistence | 3 |
the specific optimal policy | 3 |
much faster than that | 3 |
every n test days | 3 |
of infected people and | 3 |
after the incubation period | 3 |
of and important lessons | 3 |
an epidemic like covid | 3 |
different population phases at | 3 |
represent the number of | 3 |
each of the three | 3 |
italy and the state | 3 |
for the simulation of | 3 |
what would be the | 3 |
the assumption that the | 3 |
the center for systems | 3 |
description of the model | 3 |
modelling the influence of | 3 |
on the asymptomatic duration | 3 |
to the analysis of | 3 |
the white noise intensity | 3 |
in the transmission dynamics | 3 |
mathematical analysis of a | 3 |
of the disease is | 3 |
provide decision support for | 3 |
and deaths in the | 3 |
there is no effective | 3 |
represents the spectral radius | 3 |
due to the high | 3 |
a familial cluster of | 3 |
we can obtain the | 3 |
of conditioned air released | 3 |
the estimated parameter values | 3 |
curves are shown in | 3 |
has been extended to | 3 |
harmonic oscillator with position | 3 |
individuals from the disease | 3 |
daily deaths due to | 3 |
quarantine control in covid | 3 |
affected by the pandemic | 3 |
before the pandemic is | 3 |
of the disease by | 3 |
the polya urn model | 3 |
as a route that | 3 |
and boundedness of solutions | 3 |
unlike typical deep learning | 3 |
has one and only | 3 |
from the outbreak of | 3 |
vaccine under the myopic | 3 |
of the jacobian matrix | 3 |
transmission of the infection | 3 |
decrease after implementing control | 3 |
testing and contact tracing | 3 |
supported by the natural | 3 |
reproduction number and the | 3 |
in order to numerically | 3 |
people compared with the | 3 |
shows that the compulsory | 3 |
assume that the function | 3 |
fractional differential equations with | 3 |
considering both intra and | 3 |
taken into consideration in | 3 |
causal variables that significantly | 3 |
system of fractional order | 3 |
mathematical analysis of the | 3 |
of this study are | 3 |
duration as well as | 3 |
fever with renal syndrome | 3 |
the implementation of the | 3 |
are reported in the | 3 |
compulsory containment can be | 3 |
the variance of apen | 3 |
showed that the covid | 3 |
more data becomes available | 3 |
as a generalization of | 3 |
we can conclude that | 3 |
fractional order sir model | 3 |
is well known that | 3 |
about of the total | 3 |
is to minimize the | 3 |
sirs epidemic model with | 3 |
the time window february | 3 |
before pandemic apen mean | 3 |
chest ct and rt | 3 |
is the solution of | 3 |
individuals in which the | 3 |
in order to get | 3 |
value of vaccine failure | 3 |
the population is divided | 3 |
it is not possible | 3 |
from the disease and | 3 |
the mobility and contact | 3 |
matrix is given by | 3 |
of total number of | 3 |
to be in the | 3 |
existence of the optimal | 3 |
consider the following fractional | 3 |
death at a rate | 3 |
the different population phases | 3 |
for the control of | 3 |
to be susceptible again | 3 |
is expected that the | 3 |
of a harmonic oscillator | 3 |
time periods is rejected | 3 |
has been read and | 3 |
first days of the | 3 |
there is no vaccination | 3 |
daily new infection cases | 3 |
the present study is | 3 |
makes it easy to | 3 |
and vaccine failure rate | 3 |
impact on the disease | 3 |
that the compulsory containment | 3 |
the system has a | 3 |
a new fractional modelling | 3 |
is the first country | 3 |
the number of patients | 3 |
experience or knowledge of | 3 |
transmission dynamics and control | 3 |
curtail the spread of | 3 |
the control reproduction number | 3 |
the center manifold theorem | 3 |
the infectiousness rate due | 3 |
and maintaining social distance | 3 |
with this in mind | 3 |
into the fourth equation | 3 |
the optimal control theory | 3 |
number of infections will | 3 |
the last three months | 3 |
exists in the population | 3 |
to the increase in | 3 |
have no conflict of | 3 |
the jacobian at the | 3 |
for the month of | 3 |
each of the parameters | 3 |
of the population in | 3 |
fractional order necessary conditions | 3 |
of vaccination c and | 3 |
more details about the | 3 |
the authors declare no | 3 |
techniques have been used | 3 |
to curtail the spread | 3 |
the jacobian of the | 3 |
the infection in the | 3 |
review of the novel | 3 |
the asymptomatic ratio of | 3 |
additive fractional white noise | 3 |
if the acquired immunity | 3 |
have rich dynamics and | 3 |
with fractional order derivative | 3 |
the disease has been | 3 |
journal of infectious diseases | 3 |
the aware infected individuals | 3 |
of infectious diseases in | 3 |
the proposed approach is | 3 |
plane of state variables | 3 |
that the most effective | 3 |
order to prove the | 3 |
tg p r a | 3 |
qualitative analysis of the | 3 |
order to obtain the | 3 |
in terms of a | 3 |
a mathematical model of | 3 |
first case of covid | 3 |
and describe biological systems | 3 |
t is given by | 3 |
and stability analysis of | 3 |
mathematical model on covid | 3 |
of infected individuals will | 3 |
a constant rate and | 3 |
similar degree of stability | 3 |
in terms of their | 3 |
model with vaccination and | 3 |
is to investigate the | 3 |
before pandemic lle mean | 3 |
study is to analyze | 3 |
the published data and | 3 |
using the least square | 3 |
only slow down the | 3 |
asymptomatic contact in germany | 3 |
traditional time series forecasting | 3 |
are presented in table | 3 |
disease and to prevent | 3 |
the disease with a | 3 |
period from january to | 3 |
the lyapunov candidate function | 3 |
by the following expression | 3 |
time series forecasting of | 3 |
this jacobian to zero | 3 |
model to evaluate the | 3 |
then the system has | 3 |
the numerical solutions of | 3 |
help to understand the | 3 |
analysis and optimal control | 3 |
can slow down the | 3 |
be caused by the | 3 |
need to retrain or | 3 |
rich dynamics and describe | 3 |
is the average number | 3 |
been read and approved | 3 |
to quantify the most | 3 |
this paper is the | 3 |
a theoretical framework to | 3 |
involves four transport equations | 3 |
confinement is not perfect | 3 |
subjected to different disease | 3 |
the rate of decay | 3 |
there exists not any | 3 |
detected infected population are | 3 |
for five different countries | 3 |
completed the incubation period | 3 |
the legendre operational matrix | 3 |
the interactive topics of | 3 |
epidemic model with vaccination | 3 |
all individuals are equivalent | 3 |
the model is able | 3 |
homogeneous mixing of the | 3 |
the fraction of the | 3 |
and the predicted responses | 3 |
that the manuscript has | 3 |
has been investigated in | 3 |
of the model for | 3 |
window of length days | 3 |
the last part of | 3 |
of stability in price | 3 |
r a ft tg | 3 |
with the inclusion of | 3 |
small influx of infected | 3 |
the null hypothesis of | 3 |
the novel coronavirus covid | 3 |
we find that the | 3 |
order derivative have rich | 3 |
notified case projection using | 3 |
from february to february | 3 |
and forecasting of epidemic | 3 |
equilibrium w is unstable | 3 |
obtaining the numerical solution | 3 |
of the virus into | 3 |
parameters with respect to | 3 |
convolutional neural network for | 3 |
to the total population | 3 |
epidemic spreading in networked | 3 |
the acquired immunity is | 3 |
disease induced death rate | 3 |
derivative can be defined | 3 |
been estimated to be | 3 |
of r in the | 3 |
to protect the lives | 3 |
population of various countries | 3 |
countries across the globe | 3 |
for the existence of | 3 |
as seen in the | 3 |
the arima model on | 3 |
be globally asymptotically stable | 3 |
the month of aug | 3 |
to the absence of | 3 |
vaccinated individuals become susceptible | 3 |
to be able to | 3 |
new approach for the | 3 |
convolutional neural network model | 3 |
is defined as where | 3 |
forecast during the mentioned | 3 |
in order to improve | 3 |
induced errors in the | 3 |
confirmed cases in the | 3 |
of chest ct and | 3 |
behavior of the infected | 3 |
a stochastic sir model | 3 |
health organization coronavirus disease | 3 |
parts of the world | 3 |
has been applied to | 3 |
disease caused by the | 3 |
also depends on the | 3 |
dynamics of the parameter | 3 |
stock markets has not | 3 |
supported by the national | 3 |
from the proposed model | 3 |
it is estimated that | 3 |
the female sex workers | 3 |
interact with each other | 3 |
that the model dynamics | 3 |
strategies i and j | 3 |
the forecast during the | 3 |
the proposed model can | 3 |
with multiplicative fractional white | 3 |
the seir model is | 3 |
of the outbreak of | 3 |
of population are confined | 3 |
the hiv aids epidemic | 3 |
of the disease there | 3 |
with saturated incidence and | 3 |
a completely susceptible population | 3 |
world health organization declares | 3 |
dynamics of the network | 3 |
then the caputo derivative | 3 |
of the pairwise approach | 3 |
for numerical solutions of | 3 |
can not only slow | 3 |
from country to country | 3 |
new cases infected with | 3 |
in the low risk | 3 |
for ordinary differential equations | 3 |
the point of view | 3 |
of the country lockdown | 3 |
in figure shows the | 3 |
in order to take | 3 |
spreading dynamics of covid | 3 |
the proposed model to | 3 |
three states of india | 3 |
distancing and community containment | 3 |
model has been applied | 3 |
this paper is organized | 3 |
of a mathematical model | 3 |
and approved by all | 3 |
safe return to work | 3 |
of infectious diseases mathematical | 3 |
from the city of | 3 |
d is the total | 3 |
markets has not been | 3 |
consider the following lyapunov | 3 |
other for a certain | 3 |
the sir model that | 3 |
to mix with aerosol | 3 |
the decrease of the | 3 |
developed optimization algorithm based | 3 |
and its optimal control | 3 |
inflection point in the | 3 |
rest of the season | 3 |
dynamical models of tuberculosis | 3 |
natural death at a | 3 |
with fractional white noise | 3 |
there is no disease | 3 |
case was reported on | 3 |
model and machine learning | 3 |
using data up to | 3 |
equating characteristic equation for | 3 |
the time when the | 3 |
model shows that the | 3 |
of the daily growth | 3 |
possibly contributes to the | 3 |
motion on s in | 3 |
efficiency of treatment given | 3 |
markets during the pandemic | 3 |
and unreported symptomatic infected | 3 |
should be taken into | 3 |
during the imposed quarantine | 3 |
from march nd to | 3 |
a newly developed optimization | 3 |
individuals by the new | 3 |
into account the undetected | 3 |
contact and containment rates | 3 |
and possible control of | 3 |
of the parameters and | 3 |