A parsimonious model explaining patterns in the Covid-19 event

Author:

Krall Peter1,Krall Christoph2

Affiliation:

1. Dr. Peter Krall Consulting

2. Medical University of Vienna

Abstract

Abstract

A model is presented that brings together two apparently conflicting observations: There were transitions from peaks of activity to prolonged periods of fluctuation in relatively narrow bands, indicating strong constraints for possible transmission paths; yet, mutant strains could replace wild-types rapidly, indicating that there were enough transmission paths from the mutant index cases to the nodes in the contact chains from active wild-type cases to block the transmission. It is shown that this is explainable if the spread was driven and modulated by spread in open reservoirs, such as hospitals, where prevalence could persist because there was continuous admission of susceptible individuals while the duration of stay was sufficient to support transmission chains, and where strains competed for the resource of susceptible admissions. Furthermore, strong segmentation of the general community allowed multiplication of the nosocomial cases without supporting long transmission chains outside hospitals which would have kept the wild type in the population.

Publisher

Springer Science and Business Media LLC

Reference25 articles.

1. The dynamic nature of contact networks in infectious disease epidemiology;Bansal Shweta Read;Journal of Biological Dynamics,2010

2. An upper bound on one-to-one exposure to infectious human respiratory particles;Bagheri G;PNAS,2021

3. Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit https://www.lgl.bayern.de/gesundheit/infektionsschutz/infektionskrankheiten_a_z/coronavirus/karte_coronavirus/archiv2.htm

4. UEFA Euro 2020: lessons from the first multi-city international mass gathering during the COVID-19 pandemic;Beebeejaun K;Epidemiology and Infection,2022

5. Healthcare-associated COVID-19 in England: A national data linkage study - ScienceDirect;Bhattacharya Alex Collin;Journal of Infection,2021

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