The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light on the next phases of the pandemic
COVID-19 pandemic disease gained major attention among scientists due to its high mortality/ infecti...
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of th...
During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment ...
The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turk...
In this note, we used SIR Modelling framework (susceptible, infected, removed ) to predict the prog...
COVID-19 has proven to be the worst pandemic in modern times in terms of both mortality and infectio...
Background Several epidemiologic models have been published to forecast the spread of the COVID-19 p...
Mathematical modelling plays a major role in assessing, controlling, and forecasting potential outbr...
Since COVID-19 has spread almost across any country and is a serious threat to mankind, it was decla...
Coronavirus disease (COVID-19) outbreak has affected billions of people, where millions of them have...
COVID-19 pandemic has become a concern of every nation, and it is crucial to apply an estimation mod...
As COVID-19 in some countries has increasingly become more severe, there have been significant effor...
The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days...
Objectives Several epidemiological models have been published to forecast the spread of the COVID-19...
2019 novel coronavirus (COVID 19) infections detected as the first official records of the disease i...
COVID-19 pandemic disease gained major attention among scientists due to its high mortality/ infecti...
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of th...
During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment ...
The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turk...
In this note, we used SIR Modelling framework (susceptible, infected, removed ) to predict the prog...
COVID-19 has proven to be the worst pandemic in modern times in terms of both mortality and infectio...
Background Several epidemiologic models have been published to forecast the spread of the COVID-19 p...
Mathematical modelling plays a major role in assessing, controlling, and forecasting potential outbr...
Since COVID-19 has spread almost across any country and is a serious threat to mankind, it was decla...
Coronavirus disease (COVID-19) outbreak has affected billions of people, where millions of them have...
COVID-19 pandemic has become a concern of every nation, and it is crucial to apply an estimation mod...
As COVID-19 in some countries has increasingly become more severe, there have been significant effor...
The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days...
Objectives Several epidemiological models have been published to forecast the spread of the COVID-19...
2019 novel coronavirus (COVID 19) infections detected as the first official records of the disease i...
COVID-19 pandemic disease gained major attention among scientists due to its high mortality/ infecti...
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of th...
During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment ...