Generic Approach For Mathematical Model of Multi-Strain Pandemics

Author:

Lazebnik TeddyORCID,Bunimovich-Mendrazitsky SvetlanaORCID,

Abstract

AbstractPandemics with multi-strain have become a major concern. We introduce a new model for assessing the connection between multi-strain pandemic and the mortality rate, basic reproduction number, and the maximum of infected individuals. The proposed model provides a general mathematical approach for representing multi-strain pandemics, generalizing for an arbitrary number of strains. We show the proposed model fits well with epidemiological historical data world health over a long period. From a theoretical point of view, we show that the increasing number of strains increases logarithmically the maximum number of infected individuals and the mean mortality rate. Moreover, the mean basic reproduction number is statistically identical to the single, most aggressive strain pandemic for multi-strain pandemics.

Publisher

Cold Spring Harbor Laboratory

Reference58 articles.

1. Janku A , Schenk G , Mauelshagen F. Historical Disasters in Context: Science, Religion, and Politics. Routledge; 2011. 2 ADD HERE LATER

2. Gottshang TR. Economic Change, Disasters, and Migration: The Historical Case of Manchuria. Economic Development and Cultural Change. 1987;45(3).

3. The Historical Development of Public Health Responses to Disasters

4. Better Understanding Disasters by Better Using History;International Journal of Mass Emergencies and Disasters,2016

5. Historical and methodological highlights of quarantine measures: from ancient plague epidemics to current coronavirus disease (COVID-19) pandemic;Acta bio-medica: Atenei Parmensis,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3