Author: Assamagan, K'et'evi A.; Azote, Somi'ealo; Connell, Simon H.; Haliya, Cyrille E.; Mabote, Toivo S.; Mwale, Kondwani C. C.; Onyie, Ebode F.; Zimba, George
Title: A study of COVID-19 data from African countries Cord-id: sb74lmq8 Document date: 2020_7_21
ID: sb74lmq8
Snippet: 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 c
Document: 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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