2020
DOI: 10.1016/j.chaos.2020.110295
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Creating and applying SIR modified compartmental model for calculation of COVID-19 lockdown efficiency

Abstract: Highlights SIR compartmental model of COVID-19 spread may help to evaluate efficiency of lockdown measures. Epidemiological data collected in fifteen european countries, are taken as input parameters. Herd immunity level and the time of its formation are considered as factors indicating efficiency of lockdowns. Lockdown and no-lockdown mode of containment lead to roughly similar results. Lockdowns do not stop COVID-19 spread. … Show more

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Cited by 44 publications
(36 citation statements)
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“…However, if ART interruption lasts for two-three months and especially six months and more, HIV may become a very dangerous risk factor for COVID-19 clinical course and outcome. Therefore, providing a proper ART to PLWH during the COVID-19 pandemic is crucial for medical systems around the world ( Nakamoto et al, 2020 , Patel et al, 2020 , Sharov, 2020a , Sharov, 2020b ). The healthcare systems must be sustained by governmental actions aimed at prevention of pharmaceutical supply chain disruptions, as in the situation of truly global society such disruptions may bring on tremendous harm to the world population ( Donskikh, 2019 , Etienne et al, 2020 , Guo et al, 2020 , Lysenko, 2019 , Moskovkin, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…However, if ART interruption lasts for two-three months and especially six months and more, HIV may become a very dangerous risk factor for COVID-19 clinical course and outcome. Therefore, providing a proper ART to PLWH during the COVID-19 pandemic is crucial for medical systems around the world ( Nakamoto et al, 2020 , Patel et al, 2020 , Sharov, 2020a , Sharov, 2020b ). The healthcare systems must be sustained by governmental actions aimed at prevention of pharmaceutical supply chain disruptions, as in the situation of truly global society such disruptions may bring on tremendous harm to the world population ( Donskikh, 2019 , Etienne et al, 2020 , Guo et al, 2020 , Lysenko, 2019 , Moskovkin, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…In this sense, when the parameters come from the literature, they can generate results slightly different from a real epidemic because of variability concerning environmental, socio-cultural aspects, the virulence of the pathogens, and resistance-susceptibility profile tial equations [31], monte carlo method [32], the [33] gillespie's first reaction method, among other methods.…”
Section: Deterministic Versus Stochasticmentioning
confidence: 99%
“…Machine learning models have been used in many ways to study and understand the different aspects of COVID-19 pandemic. These models have been previously used for forecasting the COVID-19 cases [ [27] , [28] , [29] ], propose the potential antibodies [ 30 ], understand the possible evolutions of the virus [ 31 ], understand the economic and social effects of social distancing [ 32 , 33 ], understand the efficiency of lockdowns [ 34 ], study the transmission and spread of the virus [ 35 , 36 ]. Data driven models have also been used to analyze the SARS-CoV-2 mutations.…”
Section: Introductionmentioning
confidence: 99%