Modeling the time-dependent transmission rate using gaussian pulses for analyzing the COVID-19 outbreaks in the world-Reference-Cited by-同舟云学术

Modeling the time-dependent transmission rate using gaussian pulses for analyzing the COVID-19 outbreaks in the world

Published:2023-03-18 Issue:1 Volume:13 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Setianto Setianto,Hidayat Darmawan

Abstract

AbstractIn this work, an SEIR epidemic model with time-dependent transmission rate parameters for the multiple waves of COVID-19 infection was investigated. It is assumed that the transmission rate is determined by the superposition of the Gaussian pulses. The interaction of these dynamics is represented by recursive equations. Analysis of the overall dynamics of disease spread is determined by the effective reproduction number Re(t) produced throughout the infection period. The study managed to show the evolution of the epidemic over time and provided important information about the occurrence of multiple waves of COVID-19 infection in the world and Indonesia.

Funder

RDPD UNPAD

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://www.nature.com/articles/s41598-023-31714-5.pdf

Reference47 articles.

1. Sameni, R. Mathematical Modeling of Epidemic Diseases; A Case Study of the COVID-19 Coronavirus. 1–11 (2020).

2. Lin, Q. et al. A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. Int. J. Infect. Dis. 93, 211–216 (2020).

3. Godio, A., Pace, F. & Vergnano, A. Seir modeling of the italian epidemic of sars-cov-2 using computational swarm intelligence. Int. J. Environ. Res. Public Health 17, 66 (2020).