ArticleBMC infectious diseases2020
Spatio-temporal variation of malaria hotspots in Central Senegal, 2008-2012.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00712374 (Evaluation of the Public Health Impact and Cost Effectiveness of Seasonal Intermittent Preventive Treatment in Children in Senegal), which is not on this map. Cited by 11 papers.
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The trial behind it
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Evaluation of the Public Health Impact and Cost Effectiveness of Seasonal Intermittent Preventive Treatment in Children in Senegal
Who cites it
11 citing papers in PubMed.
- Spatiotemporal trends in P. falciparum malaria and identification of high-risk villages in Eastern Myanmar: an 8-year observational study.Scientific reports · 2025Observational
- Spatio-temporal dynamics of malaria incidence in children under five years of age and correlation with meteorological variability in the North and Far North regions of Cameroon between 2015-2022.Parasite epidemiology and control · 2025Article
- Environmental and socio-economic determinants of malaria transmission in West Africa: a systematic review.One health outlook · 2025Review
- Identifying populations at high risk of malaria: a mixed-methods case-control study to inform targeted interventions in Senegal.Malaria journal · 2024Article
- Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon.Malaria journal · 2024Article
- Spatial, temporal, and spatiotemporal cluster detection of malaria incidence in Southwest Ethiopia.Frontiers in public health · 2024Article
- Article
- Spatio-Temporal Variability of Malaria Incidence in the Health District of Kati, Mali, 2015-2019.International journal of environmental research and public health · 2022Article
- Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020.Parasite epidemiology and control · 2022Article
- Plasmodium falciparum genomic surveillance reveals spatial and temporal trends, association of genetic and physical distance, and household clustering.Scientific reports · 2022Article
- Spatio-temporal analysis and prediction of malaria cases using remote sensing meteorological data in Diébougou health district, Burkina Faso, 2016-2017.Scientific reports · 2021Article
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn malaria endemic areas, identifying spatio-temporal hotspots is becoming an important element of innovative control strategies targeting transmission bottlenecks. The aim of this work was to describe the spatio-temporal variation of malaria hotspots in central Senegal and to identify the meteorological, environmental, and preventive factors that influence this variation.
methodsThis study analysed the weekly incidence of malaria cases recorded from 2008 to 2012 in 575 villages of central Senegal (total population approximately 500,000) as part of a trial of seasonal malaria chemoprevention (SMC). Data on weekly rainfall and annual vegetation types were obtained for each village through remote sensing. The time series of weekly malaria incidence for the entire study area was divided into periods of high and low transmission using change-point analysis. Malaria hotspots were detected during each transmission period with the SaTScan method. The effects of rainfall, vegetation type, and SMC intervention on the spatio-temporal variation of malaria hotspots were assessed using a General Additive Mixed Model.
resultsThe malaria incidence for the entire area varied between 0 and 115.34 cases/100,000 person weeks during the study period. During high transmission periods, the cumulative malaria incidence rate varied between 7.53 and 38.1 cases/100,000 person-weeks, and the number of hotspot villages varied between 62 and 147. During low transmission periods, the cumulative malaria incidence rate varied between 0.83 and 2.73 cases/100,000 person-weeks, and the number of hotspot villages varied between 10 and 43. Villages with SMC were less likely to be hotspots (OR = 0.48, IC95%: 0.33-0.68). The association between rainfall and hotspot status was non-linear and depended on both vegetation type and amount of rainfall. The association between village location in the study area and hotspot status was also shown.
conclusionIn our study, malaria hotspots varied over space and time according to a combination of meteorological, environmental, and preventive factors. By taking into consideration the environmental and meteorological characteristics common to all hotspots, monitoring of these factors could lead targeted public health interventions at the local level. Moreover, spatial hotspots and foci of malaria persisting during LTPs need to be further addressed.
trial registrationThe data used in this work were obtained from a clinical trial registered on July 10, 2008 at www.clinicaltrials.gov under NCT00712374.
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