[Factors associated with mortality in patients with COVID-19 in the Tambacounda region, Senegal, 2020-2021].
| Autor: | Thioub S; District Sanitaire de Tambacounda, Ministère de la Santé et de l'Action Sociale, Tambacounda, Sénégal.; Burkina Field Epidemiology Laboratory Training Program, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso., NDiaye M; Direction des Laboratoires, Ministère de la Santé et de l'Action Sociale, Dakar, Sénégal., Gueye I; District sanitaire d'Oussouye, Ministère de la Santé et de l'Action Sociale, Ziguinchor, Sénégal., Sow KD; Centre des Opérations d'Urgence Sanitaire, Ministère de la Santé et de l'Action Sociale, Dakar, Sénégal., Gadiaga T; District Sanitaire de Tambacounda, Ministère de la Santé et de l'Action Sociale, Tambacounda, Sénégal., Sopoh E; Institut Régional de Santé Publique, Comlan Alfred Quenum de Ouidah, Cotonou, Bénin., Kaboré J; Institut de Recherche en Sciences de la Santé (IRSS), Centre National de la Recherche Scientifique et Technologique (CNRST), Ouagadougou, Burkina Faso., Yanogo PK; Burkina Field Epidemiology Laboratory Training Program, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.; Département de Santé Publique, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso. |
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| Jazyk: | francouzština |
| Zdroj: | Le Mali medical [Mali Med] 2024; Vol. 39 (3), pp. 14-21. |
| Abstrakt: | Aims: To identify the predictive factors and reduce the mortality of COVID-19 in the Tambacounda region. Materials and Methods: An analytical cross-sectional study was conducted on confirmed COVID-19 individuals. Sampling was exhaustive with 303 cases. Data were collected by literature review, secondary data extraction and interviews. A data extraction form and an Epi Info®7.4.2.0 input mask were used. Medians, numbers, proportions were calculated and odds ratios were estimated. Statistical analysis was performed using Epi Info®7.2.4.0, SAS®9.4 and Excel®2019. Results: Of the confirmed cases, 58 (19.1%) were deceased. The median age was 59 years (43-69 years). The sex ratio (male to female) was 1.6. Factors independently associated with mortality in COVID-19 were diabetes (ORa=9.34, CI95% [2.15-40.63]); hypertension (ORa=6.51, CI95% [1.85-22.93]); acute respiratory distress (ORa=6.22, CI95% [2.89-13.37]); male sex (ORa=6.44, CI95% [2.22-18.65]) and age ≥ 60 years (ORa=2.62, CI95% [1.14-6.02]). Conclusion: Prevention strategies targeting diabetics, hypertensives, males, and those at least 60 years old would reduce mortality from COVID-19 in the Tambacounda region. (Le comité de rédaction se réserve le droit de renvoyer aux auteurs avant toute soumission à l'avis des lecteurs les manuscrits qui ne seraient pas conformes à ces modalités de présentation. En outre il leur conseille de conserver un exemplaire du manuscrit, des figures et des tableaux.) |
| Databáze: | MEDLINE |
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