COVID-19 outbreak: a predictive mathematical study incorporating shedding effect

Autor:	Anuraj Singh, Preeti Deolia
Rok vydání:	2022
Předmět:	Computational Mathematics Applied Mathematics
Zdroj:	Journal of applied mathematicscomputing.
ISSN:	1598-5865
Popis:	In this paper, a modified SEIR epidemic model incorporating shedding effect is proposed to analyze transmission dynamics of the COVID-19 virus among different individuals' classes. The direct impact of pathogen concentration over susceptible populations through the shedding of COVID-19 virus into the environment is investigated. Moreover, the threshold value of shedding parameters is computed which gives information about their significance in decreasing the impact of the disease. The basic reproduction number (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4c84ece4a5ef4654df2813bab73c6ed https://pubmed.ncbi.nlm.nih.gov/36158635 Zobrazit plný text záznamu Full text from SpringerLink