Epidemiological characteristics of the Covid-19 epidemic between 2020 and 2022 in Kongo central, DRC

Abstract

The Democratic Republic of Congo (DRC) has experienced widespread community transmission of SARS-CoV-2 and has recorded four successive waves from March 2020 to March 2022. The objective of this study is to determine the socio-demographic characteristics of Covid-19 patients during these epidemic waves in the province of Kongo central and to identify factors associated with deaths. This is a cross-sectional study of Covid-19 data from the provincial surveillance system. The data consisted of epidemiological surveillance data, laboratory data (tests), hospital data and patient follow-up data. We determined the characteristics of positive cases throughout the period and implemented logistic regression of factors associated with death. During the successive waves, 9, 573 positive cases were reported in the province, 546 cases in the first wave and 6, 346 in the fourth wave. Seven positive cases out of 10 concerned people aged 25 to 64. The districts of Matadi, Moanda and Mbanza-Ngungu were the most affected. Age above 64 [OR: 7.2 CI:5.1-10.3] and wave 2 [OR: 4.4 CI:1.6-12.4] were the factors statistically associated with death. As in other African settings, age, comorbidities, higher socio-professional level and living in urban areas were the major risk factors for severe forms of the disease and death. Our analysis underlines the importance of collecting and analysing several epidemiological variables down to the provincial level over time for a better continuous knowledge of the situation.