Epidemiological and clinical features associated to the survival of COVID-19 patients in the department of Littoral in Benin from March to July 2020,
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Auteur(s): Josiane Carolle Fifamè Folayimi AZE, Ghislain Emmanuel SOPOH, Pauline Kiswendsida YANOGO, Sourakatou SALIFOU, Benjamin HOUNKPATIN, Joseph Omasumbu Blaise OTSHUDIANDJEKA, Mariane LAURENT, Fadima DIALLO and Nicolas MEDA
Auteur(s) tagués: Pauline Kiswendsida YANOGO ;
Résumé

The epidemiological, clinical and therapeutic outcomes of COVID-19 vary across countries from March
16th to July 30, 2020, 1805 cases were registered in Benin, and among these cases, about 36 deaths
occurred. The aim of this work was to study the epidemiological and clinical features associated with
the survival of people with COVID-19 in the Department of Littoral in Republic of Benin, from March to
July 2020. This was an analytical cross-sectional study that involved 920 cases of COVID-19. The
Kaplan Meier method was used to estimate the survival probability and the cumulative death risk in
COVID-19 cases. The Cox model was able to identify associated factors with death caused by COVID-
19. The median age was 37 (Q1=28; Q3=48) years ranging from 3 to 84; the sex ratio was 0.85 in
women’s favor. Most of affected people had a university level of educational attainment (64.02%). The
survival probability of patients was 99% 95%CI: [98.4-99.5] at seven days, and 97.7% 95%CI: [96.4-98.5]
at 17 days and more. Age (RRadjusted; 95%CI: 6.29; [1.04-37.79]), educational attainment (RRadjusted;
95%CI: 0.11; [0.01-0.95]), place of treatment (RRadjusted; 95%CI: 18.70; [1.27-274.46]) and treatment
received (RRadjusted; 95%CI: 238.46; [19.18-2963.77]) were significantly associated with treatment
outcome. In conclusion, in the early stage of COVID-19 outreach in the Department of Littoral of Benin,
a high level of education showed to be a protective factor against poor outcome of the treatment. Health
education and promotion of school attendance remained key strategies to prevent disease in Benin.

Mots-clés

COVID-19 epidemiology survival probability

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