4.7 Article

An extreme value analysis of daily new cases of COVID-19 for sixteen countries in west Africa

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SCIENTIFIC REPORTS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-023-37722-9

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We conducted an extreme value analysis on daily new cases of COVID-19, using data from multiple countries in Africa. Out of the 16 countries studied, 10 showed significant downward trends in monthly maximums. The adequacy of the fitted models was evaluated using probability plots and the Kolmogorov-Smirnov test.
We provide an extreme value analysis of daily new cases of COVID-19. We use data from Benin, Burkina Faso, Cabo Verde, Cote d'Ivoire, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone and Togo, covering a period of 37 months. Extreme values were defined as monthly maximums of daily new cases. The generalized extreme value distribution was fitted to them with two of its three parameters allowed to vary linearly or quadratically with respect to month number. Ten of the sixteen countries were found to exhibit significant downward trends in monthly maximums. The adequacy of fits was assessed by probability plots and the Kolmogorov-Smirnov test. The fitted models were used to derive quantiles of the monthly maximum of new cases as well as their limits when the month number is taken to infinity.

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