A New Bimodal Growth Speed Model With Application in Multiwave Epidemic Simulations DOI Creative Commons
S. H. Sabzpoushan,

D. Nozadmakvandi

BioMed Research International, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

An epidemic can cause enormous damage through financial and economic losses in addition to impaired health loss of life. Good models provide insights into ongoing waves that may facilitate public responses other readiness. Epidemic systems undergo or consist more than two driving forces; actually, they involve several. This paper deals with the modeling epidemics wave dynamics. We present a mathematical model three forces, which is compatible biology conventional bilogistic bi‐Richards ones, have forces. Simulation results show our proposed predict turning points (waves) cumulative case numbers during satisfactorily. As sample examination against real data, we second phase typical be detected by using less data past beginning model.

Язык: Английский

SARS-CoV-2 epidemiology, kinetics, and evolution: A narrative review DOI Creative Commons
Samuel Alizon, Mircea T. Sofonea

Virulence, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 8, 2025

Since winter 2019, SARS-CoV-2 has emerged, spread, and evolved all around the globe. We explore 4 y of evolutionary epidemiology this virus, ranging from applied public health challenges to more conceptual biology perspectives. Through review, we first present spread lethality infections it causes, starting its emergence in Wuhan (China) initial epidemics world, compare virus other betacoronaviruses, focus on airborne transmission, containment strategies ("zero-COVID" vs. "herd immunity"), explain phylogeographical tracking, underline importance natural selection epidemics, mention within-host population dynamics. Finally, discuss how pandemic transformed (or should transform) surveillance prevention viral respiratory identify perspectives for research COVID-19.

Язык: Английский

Процитировано

0
SARS-CoV-2 epidemiology, kinetics, and evolution: a narrative review DOI Open Access
Samuel Alizon, Mircea T. Sofonea

Опубликована: Май 6, 2024

Since winter 2019, SARS-CoV-2 emerged, spread, and evolved all around the globe. We explore four years of evolutionary epidemiology this virus, ranging from applied public health challenges to more conceptual biology perspectives. Through review, we revisit key episodes pandemic, highlighting important evolution notions they may raise, discuss how pandemic has transformed (or should transform) surveillance prevention viral respiratory infections.

Язык: Английский

Процитировано

0
Preface: COVID-19 Scenario Modeling Hubs DOI Creative Commons
Sara L. Loo, Matteo Chinazzi, Ajitesh Srivastava

и другие.

Epidemics, Год журнала: 2024, Номер 48, С. 100788 - 100788

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

0
A New Bimodal Growth Speed Model With Application in Multiwave Epidemic Simulations DOI Creative Commons
S. H. Sabzpoushan,

D. Nozadmakvandi

BioMed Research International, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

An epidemic can cause enormous damage through financial and economic losses in addition to impaired health loss of life. Good models provide insights into ongoing waves that may facilitate public responses other readiness. Epidemic systems undergo or consist more than two driving forces; actually, they involve several. This paper deals with the modeling epidemics wave dynamics. We present a mathematical model three forces, which is compatible biology conventional bilogistic bi‐Richards ones, have forces. Simulation results show our proposed predict turning points (waves) cumulative case numbers during satisfactorily. As sample examination against real data, we second phase typical be detected by using less data past beginning model.

Язык: Английский

Процитировано

0