论文标题

对非洲国家的Covid-19数据的研究

A study of COVID-19 data from African countries

论文作者

Assamagan, Kétévi A., Azote, Somiéalo, Connell, Simon H., Haliya, Cyrille E., Mabote, Toivo S., Mwale, Kondwani C. C., Onyie, Ebode F., Zimba, George

论文摘要

Covid-19是一种新的大流行病,几乎影响着每个国家,对社会生活和经济活动产生负面影响。被感染和死者的患者数量继续在全球增加。数学模型可以帮助制定更好的策略以遏制大流行。考虑到非洲政府采取的多种措施以及具有挑战性的社会经济因素,简单的模型不能符合数据。我们研究了Covid-19在选定的非洲国家的动力发展。我们为每个研究的国家提供了一个时间依赖的繁殖数,以进一步了解Covid-19在非洲的传播。

COVID-19 is a new pandemic disease that is affecting almost every country with a negative impact on social life and economic activities. The number of infected and deceased patients continues to increase globally. Mathematical models can help in developing better strategies to contain a pandemic. Considering multiple measures taken by African governments and challenging socio-economic factors, simple models cannot fit the data. We studied the dynamical evolution of COVID-19 in selected African countries. We derived a time-dependent reproduction number for each country studied to offer further insights into the spread of COVID-19 in Africa.

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