ArticleEpidemiology and infection2020
Evaluation of modelling study shows limits of COVID-19 importing risk simulations in sub-Saharan Africa.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Mathematical modelling of the epidemiology of COVID-19 infection in Ghana.Scientific African · 2022Article
- Lockdown measures in response to COVID-19 in nine sub-Saharan African countries.BMJ global health · 2020Review
- Response to 'Evaluation of modelling study shows limits of COVID-19 importing risk simulations in sub-Saharan Africa' (Epidemiology and infection · 2020Article
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Abstract
Mathematical modelling studies predicting the spread of the coronavirus disease 2019 (COVID-19) have been used worldwide, but precisions are limited. Thus, continuous evaluation of the modelling studies is crucial. We investigated situations of virus importation in sub-Saharan Africa (SSA) to assess effectiveness of a modelling study by Haider N et al. titled 'Passengers' destinations from China: low risk of novel coronavirus (2019-nCoV) transmission into Africa and South America'. We obtained epidemiological data of 2417 COVID-19 cases reported by 40 countries in SSA within 30 days of the first case confirmed in Nigeria on 27 February. Out of 442 cases which had travel history available, only one (0.2%) had a travel history to China. These findings underline the result of the model. However, the fact that there were numbers of imported cases from other regions shows the limits of the model. The limits could be attributed to the characteristics of the COVID-19 which is infectious even when the patients do not express any symptoms. Therefore, there is a profound need for all modelling researchers to take asymptomatic cases into account when they establish modelling studies.
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