Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020
Despite the implementation of different strategies to fight against malaria in Burkina Faso since 2005, it remains today the leading cause of hospitalization and death. Adapting interventions to the spatial and temporal distribution of malaria could help to reduce this burden. This study aims to det...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-08-01
|
Series: | Parasite Epidemiology and Control |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405673122000253 |
_version_ | 1828357098149249024 |
---|---|
author | Ibrahim Sangaré Cheick Ahmed Ouattara Dieudonné Diloma Soma Daouda Soma Benoit Sessinou Assogba Moussa Namountougou Gautier Tougri Leon Blaise Savadogo |
author_facet | Ibrahim Sangaré Cheick Ahmed Ouattara Dieudonné Diloma Soma Daouda Soma Benoit Sessinou Assogba Moussa Namountougou Gautier Tougri Leon Blaise Savadogo |
author_sort | Ibrahim Sangaré |
collection | DOAJ |
description | Despite the implementation of different strategies to fight against malaria in Burkina Faso since 2005, it remains today the leading cause of hospitalization and death. Adapting interventions to the spatial and temporal distribution of malaria could help to reduce this burden. This study aims to determine the structure and stability of malaria hotspots in Burkina Faso, with the objective of adapting interventions at small geographical scales.Data on malaria cases from 2013 to 2020 were acquired at municipalities level. Municipality-wise malaria endemicity levels were mapped through geographical information system (GIS) tools. Spatial statistical analysis using Kulldoff sweeps were carried out to identify malaria hotspots. Then we mapped the monthly malaria risk.Malaria is endemic in all the municipalities of Burkina Faso. However, two stable main spatial clusters (South-Western and Eastern part of the country) are emerging with seasonal reinforcement.Interventions targeting the identified clusters could significantly reduce the incidence of malaria in Burkina Faso. This also prompts for further studies to identify the local determinants of this high transmission for the future success of malaria control. |
first_indexed | 2024-04-14T03:11:04Z |
format | Article |
id | doaj.art-039f53704c4b4e459332dbbce5d5ca20 |
institution | Directory Open Access Journal |
issn | 2405-6731 |
language | English |
last_indexed | 2024-04-14T03:11:04Z |
publishDate | 2022-08-01 |
publisher | Elsevier |
record_format | Article |
series | Parasite Epidemiology and Control |
spelling | doaj.art-039f53704c4b4e459332dbbce5d5ca202022-12-22T02:15:36ZengElsevierParasite Epidemiology and Control2405-67312022-08-0118e00261Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020Ibrahim Sangaré0Cheick Ahmed Ouattara1Dieudonné Diloma Soma2Daouda Soma3Benoit Sessinou Assogba4Moussa Namountougou5Gautier Tougri6Leon Blaise Savadogo7Institut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso; Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso; Centre d'Excellence Africain en Innovations Biotechnologiques pour l'Élimination des Maladies à Transmission Vectorielle, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso; Corresponding author at: Institut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso.Institut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso; Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina FasoInstitut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso; Centre d'Excellence Africain en Innovations Biotechnologiques pour l'Élimination des Maladies à Transmission Vectorielle, Université Nazi BONI, Bobo-Dioulasso, Burkina FasoInstitut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina FasoDisease Control and Elimination Department, Medical Research Council, Unit The Gambia at London School of Hygiene and Tropical Medicine, Ville, the GambiaCentre d'Excellence Africain en Innovations Biotechnologiques pour l'Élimination des Maladies à Transmission Vectorielle, Université Nazi BONI, Bobo-Dioulasso, Burkina FasoProgramme National de Lutte contre le Paludisme, Ministère de la Santé, Ouagadougou, Burkina FasoInstitut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso; Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso; Centre d'Excellence Africain en Innovations Biotechnologiques pour l'Élimination des Maladies à Transmission Vectorielle, Université Nazi BONI, Bobo-Dioulasso, Burkina FasoDespite the implementation of different strategies to fight against malaria in Burkina Faso since 2005, it remains today the leading cause of hospitalization and death. Adapting interventions to the spatial and temporal distribution of malaria could help to reduce this burden. This study aims to determine the structure and stability of malaria hotspots in Burkina Faso, with the objective of adapting interventions at small geographical scales.Data on malaria cases from 2013 to 2020 were acquired at municipalities level. Municipality-wise malaria endemicity levels were mapped through geographical information system (GIS) tools. Spatial statistical analysis using Kulldoff sweeps were carried out to identify malaria hotspots. Then we mapped the monthly malaria risk.Malaria is endemic in all the municipalities of Burkina Faso. However, two stable main spatial clusters (South-Western and Eastern part of the country) are emerging with seasonal reinforcement.Interventions targeting the identified clusters could significantly reduce the incidence of malaria in Burkina Faso. This also prompts for further studies to identify the local determinants of this high transmission for the future success of malaria control.http://www.sciencedirect.com/science/article/pii/S2405673122000253MalariaGISHotspotSpatiotemporal clusterTemporal trendBurkina Faso |
spellingShingle | Ibrahim Sangaré Cheick Ahmed Ouattara Dieudonné Diloma Soma Daouda Soma Benoit Sessinou Assogba Moussa Namountougou Gautier Tougri Leon Blaise Savadogo Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 Parasite Epidemiology and Control Malaria GIS Hotspot Spatiotemporal cluster Temporal trend Burkina Faso |
title | Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 |
title_full | Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 |
title_fullStr | Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 |
title_full_unstemmed | Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 |
title_short | Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020 |
title_sort | spatial temporal pattern of malaria in burkina faso from 2013 to 2020 |
topic | Malaria GIS Hotspot Spatiotemporal cluster Temporal trend Burkina Faso |
url | http://www.sciencedirect.com/science/article/pii/S2405673122000253 |
work_keys_str_mv | AT ibrahimsangare spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT cheickahmedouattara spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT dieudonnedilomasoma spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT daoudasoma spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT benoitsessinouassogba spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT moussanamountougou spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT gautiertougri spatialtemporalpatternofmalariainburkinafasofrom2013to2020 AT leonblaisesavadogo spatialtemporalpatternofmalariainburkinafasofrom2013to2020 |