Effectiveness of Three Sampling Approaches for Optimizing Mapping and Preventive Chemotherapy against Schistosoma mansoni in the Western Part of Côte d'Ivoire.

Autor: Sékré JK; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire., Ouattara M; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Diakité NR; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Bassa FK; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Assaré RK; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Kouadio JN; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Coulibaly G; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire., Loukouri A; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire., Orsot MN; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire., Utzinger J; Swiss Tropical and Public Health Institute, Kreuzstrasse 2, CH-4123 Allschwil, Switzerland.; University of Basel, Petersplatz 1, CH-4003 Basel, Switzerland., N'Goran EK; Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan 22 BP 582, Côte d'Ivoire.; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan 01 BP 1303, Côte d'Ivoire.
Jazyk: angličtina
Zdroj: Tropical medicine and infectious disease [Trop Med Infect Dis] 2024 Jul 14; Vol. 9 (7). Date of Electronic Publication: 2024 Jul 14.
DOI: 10.3390/tropicalmed9070159
Abstrakt: The elimination of schistosomiasis as a public health problem by 2030 is one of the main goals put forth in the World Health Organization's roadmap for neglected tropical diseases. This study aimed to compare different sampling approaches to guide mapping and preventive chemotherapy. A cross-sectional parasitological survey was conducted from August to September 2022 in the health districts of Biankouma, Ouaninou, and Touba in the western part of Côte d'Ivoire. The prevalence and intensity of Schistosoma mansoni infection were assessed in children aged 5-14 years using three sampling approaches. The first approach involved a random selection of 50% of the villages in the health districts. The second approach involved a random selection of half of the villages selected in approach 1, thus constituting 25% of the villages in the health district. The third approach consisted of randomly selecting 15 villages from villages selected by approach 2 in each health district. The overall prevalence of S. mansoni was 23.5% (95% confidence interval (CI): 19.9-27.6%), 21.6% (95% CI: 17.1-26.8%), and 18.3% (95% CI: 11.9-27.1%) with the first, second, and third approach, respectively. The respective geometric mean S. mansoni infection intensity was 117.9 eggs per gram of stool (EPG) (95% CI: 109.3-127.3 EPG), 104.6 EPG (95% CI: 93.8-116.6 EPG), and 94.6 EPG (95% CI 79.5-112.7 EPG). We conclude that, although randomly sampling up to 50% of villages in a health district provides more precise population-based prevalence and intensity measures of S. mansoni , randomly selecting only 15 villages in a district characterized by low heterogeneity provides reasonable estimates and is less costly.
Databáze: MEDLINE