Factors predictive of epidemic waves of COVID-19 in Africa during the first 2 years of the pandemic.

ABSTRACT:

Objectives

The objective was to study the epidemic wave curves, according to the characteristics of the countries, to identify the differences and the predictive factors of evolution.

Methods

We have carried out modeling of the COVID-19 epidemic data from validated databases for 53 African countries.

Results

All countries recorded at least four waves. The duration of the waves had decreased over time (P <0.001) and extended with the rainy season (P = 0.03). The incidence rates were higher for countries with the best development indicators (P <0.001). Positive spatial autocorrelation was significant for all wave characteristics, except for relative amplitude at the end of the wave. The time-adjusted multivariate analysis identified seasons for dura

SUBMITTER: Wimba P 

PROVIDER: S-EPMC11874724 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature