Mathematical model for the mitigation of the economic effects of the Covid-19 in the Democratic Republic of the Congo

Author:

Balike Dieudonné ZirhumananaORCID

Abstract

Since the apparition of the SRAS-Cov-2 in Wuhan in China, several countries have set diverse measures to stop its spread. Measures envisaged include national or local lockdown and travels ban. In the DRC, these measures have seriously prejudiced the economy of the country which is mainly informal. In this paper, a mathematical model for the spread of Covid-19 in Democratic Republic of Congo (DRC) taking into account the vulnerability of congolese economy is proposed. To mitigate the spreading of the virus no national lockdown is proposed, only individuals affected by the virus or suspicious are quarantined. The reproduction number for the Covid-19 is calculated and numerical simulations are performed using Python software. A clear advice for policymakers is deduced from the forecasting of the model.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference25 articles.

1. Estimating the unreported number of novel coronavirus (2019-nCoV) cases in China in the first half of January 2020: a data-driven modelling analysis of the early outbreak;S Zhao;Journal of clinical medicine,2020

2. Epidemiological characteristics of novel coronavirus infection: A statistical analysis of publicly available case data;AR Akhmetzhanov;medRxiv,2020

3. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia;Q Li;New England journal of medicine,2020

4. OMS, Chronologie de l’action de l’OMS face à la COVID-19. Available from https://www.Who.int/fr/news-room/detail/29-06-2020-covidtimeline

5. Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China;B Vorra;Communications in nonlinear science and numerical simulation,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