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Schistosomiasis control in Senegal:results from community data analysis for optimizing preventive chemotherapy intervention with praziquantel

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Infectious Diseases of Poverty 2023年第6期12卷 101-102页

作者： Boubacar Diop Khadime Sylla NDèye MBackéKane Oumou Kaltoum Boh Babacar Guèye Mady Ba Idrissa Talla Malang Mané rose monteil.boniface kinvi Honorat Gustave Marie Zoure Jorge Cano Ortega Pauline Mwinzi Moussa Sacko Babacar Faye Programme National de Lutte Contre les Bilharzioses et les Géo-Helminthiases Direction de la Lutte Contre la Maladie (DLM) Ministère de la Santé et de l’Action Sociale (MSAS) Dakar Senegal Department of Parasitology and Mycology Faculty of Medicine Pharmacy and Odontology Université Cheikh Anta Diop de Dakar (UCAD) Dakar Senegal WHO Country Office Dakar Senegal Département de Santé Publique Faculté des Sciences de la Santé Université Amadou Hampathé Ba Dakar Senegal FHI 360 Chargé des Enquêtes et Evaluation des Maladies et des Campagnes de DMM Dakar Senegal Expanded Special Project for Elimination of Neglected Tropical Diseases (ESPEN) WHO Africa Regional Office Brazzaville Congo Service de Parasitologie Institut National de Santé Publique (INSP) Bamako Mali

Background Over the past two decades,preventive chemotherapy(PC)with praziquantel(PZQ)is the major strategy for controlling schistosomiasis in *** objective of this analysis was to update the endemicity of schistosomiasis at community level for better targeting mass treatment with PZQ in *** Demographic and epidemiological data from 1610 community health areas were analyzed using the schistosomiasis community data analysis tool of Expanded Special Project for Elimination of Neglected Tropical Diseases which developed by World Health Organization/Africa Ofce(WHO/AFRO).The tool uses a WHO/AFRO decision tree for areas without epidemiological data to determine whether mass treatment should be continued at community *** analysis was *** Overall,the endemicity of 1610 community health areas were updated based on the data from the district endemicity(33.5%)and the form of Join request for selected PC medicine(40.5%).Up to 282(17.5%)and 398(24.7%)of community health areas were classifed as moderate and high endemicity.41.1%of communities were non *** endemicity was more important in Tambacounda,Saint Louis,Matam,Louga and Kedougou.A change in endemicity category was observed when data was disagregted from district level to community *** units classifed non endemic were more important at community level(n=666)compared to district level(n=324).Among 540 areas previously classifed high endemic at district level,392(72.6%)remained high prevalence category,while 92(17.0%)became moderate,43(8.0%)low and 13(2.4%)non-endemics at community *** of implementation units requiring PC was more important at district level(1286)compared to community level(944).Number of school aged children requiring treatment was also more important at district level compared to community *** The analysis to disaggregate data from district level to community level using the WHO/AFRO schistosomiasis sub-distric

关键词： Schistosomiasis Community data analysis Endemicity Praziquantel Senegal

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