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Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali
- Source :
- International Journal of Environmental Research and Public Health, Vol 17, Iss 4698, p 4698 (2020), Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela, instname, International Journal of Environmental Research and Public Health, Minerva: Repositorio Institucional de la Universidad de Santiago de Compostela, Universidad de Santiago de Compostela (USC), International Journal of Environmental Research and Public Health, 2020, 17 (13), pp.4698. ⟨10.3390/ijerph17134698⟩, Volume 17, Issue 13, International Journal of Environmental Research and Public Health, MDPI, 2020, 17 (13), pp.4698. ⟨10.3390/ijerph17134698⟩
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Climate and environmental data were obtained over the same time period from the Goddard Earth Sciences (Giovanni) platform and hydrological data from Mali hydraulic services. A generalized additive model was used to determine the lagged time between each principal component analysis derived component and the incidence of malaria cases, and also used to analyze the relationship between malaria and the lagged components in a multivariate approach. Malaria transmission patterns were bimodal at both sites, but peak and lull periods were longer lasting for Koila study site. Temperatures were associated with malaria incidence in both sites. In Dangassa, the wind speed (p = 0.005) and river heights (p = 0.010) contributed to increasing malaria incidence, in contrast to Koila, where it was humidity (p &lt<br />0.001) and vegetation (p = 0.004). The relationships between environmental factors and malaria incidence differed between the two settings, implying different malaria dynamics and adjustments in the conception and plan of interventions.
- Subjects :
- Multivariate statistics
Health, Toxicology and Mutagenesis
[SDV]Life Sciences [q-bio]
normalized difference vegetation index
lcsh:Medicine
Principal components analysis
Mali
lag
Environmental data
0302 clinical medicine
Normalized difference vegetation index
030212 general & internal medicine
Passive case detection
biology
Ecology
Incidence (epidemiology)
Incidence
Temperature
Vegetation
3. Good health
[SDV] Life Sciences [q-bio]
Geography
Population Surveillance
plasmodium falciparum
030231 tropical medicine
Plasmodium falciparum
malaria
Geo-epidemiology
Generalized additive models
Normalized Difference Vegetation Index
Article
generalized additive models
03 medical and health sciences
principal components analysis
parasitic diseases
medicine
Humans
passive case detection
Generalized additive model
lcsh:R
Public Health, Environmental and Occupational Health
Humidity
15. Life on land
biology.organism_classification
medicine.disease
geo-epidemiology
Lag
Malaria
Subjects
Details
- Language :
- English
- ISSN :
- 16617827 and 16604601
- Volume :
- 17
- Issue :
- 4698
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health
- Accession number :
- edsair.doi.dedup.....b7fe80f35d099edc8fa907f0732ede60
- Full Text :
- https://doi.org/10.3390/ijerph17134698⟩