Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data
Abstract Background The United Nations forecasts that by 2050, more than 60% of the African population will live in cities. Thus, urban malaria is considered an important emerging health problem in that continent. Remote sensing (RS) and geographic information systems (GIS) are useful tools for addr...
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ftdoajarticles:oai:doaj.org/article:8eab0049c22b48dab039d163a8dd4bc6 2023-05-15T15:15:34+02:00 Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data Machault Vanessa Vignolles Cécile Pagès Frédéric Gadiaga Libasse Gaye Abdoulaye Sokhna Cheikh Trape Jean-François Lacaux Jean-Pierre Rogier Christophe 2010-09-01T00:00:00Z https://doi.org/10.1186/1475-2875-9-252 https://doaj.org/article/8eab0049c22b48dab039d163a8dd4bc6 EN eng BMC http://www.malariajournal.com/content/9/1/252 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-9-252 1475-2875 https://doaj.org/article/8eab0049c22b48dab039d163a8dd4bc6 Malaria Journal, Vol 9, Iss 1, p 252 (2010) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2010 ftdoajarticles https://doi.org/10.1186/1475-2875-9-252 2022-12-31T08:55:43Z Abstract Background The United Nations forecasts that by 2050, more than 60% of the African population will live in cities. Thus, urban malaria is considered an important emerging health problem in that continent. Remote sensing (RS) and geographic information systems (GIS) are useful tools for addressing the challenge of assessing, understanding and spatially focusing malaria control activities. The objectives of the present study were to use high spatial resolution SPOT ( Satellite Pour l'Observation de la Terre ) satellite images to identify some urban environmental factors in Dakar associated with Anopheles arabiensis densities, to assess the persistence of these associations and to describe spatial changes in at-risk environments using a decadal time scale. Methods Two SPOT images from the 1996 and 2007 rainy seasons in Dakar were processed to extract environmental factors, using supervised classification of land use and land cover, and a calculation of NDVI (Normalized Difference Vegetation Index) and distance to vegetation. Linear regressions were fitted to identify the ecological factors associated with An. arabiensis aggressiveness measured in 1994-97 in the South and centre districts of Dakar. Risk maps for populated areas were computed and compared for 1996 and 2007 using the results of the statistical models. Results Almost 60% of the variability in anopheline aggressiveness measured in 1994-97 was explained with only one variable: the built-up area in a 300-m radius buffer around the catching points. This association remained stable between 1996 and 2007. Risk maps were drawn by inverting the statistical association. The total increase of the built-up areas in Dakar was about 30% between 1996 and 2007. In proportion to the total population of the city, the population at high risk for malaria fell from 32% to 20%, whereas the low-risk population rose from 29 to 41%. Conclusions Environmental data retrieved from high spatial resolution SPOT satellite images were associated with An. arabiensis ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 9 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Machault Vanessa Vignolles Cécile Pagès Frédéric Gadiaga Libasse Gaye Abdoulaye Sokhna Cheikh Trape Jean-François Lacaux Jean-Pierre Rogier Christophe Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background The United Nations forecasts that by 2050, more than 60% of the African population will live in cities. Thus, urban malaria is considered an important emerging health problem in that continent. Remote sensing (RS) and geographic information systems (GIS) are useful tools for addressing the challenge of assessing, understanding and spatially focusing malaria control activities. The objectives of the present study were to use high spatial resolution SPOT ( Satellite Pour l'Observation de la Terre ) satellite images to identify some urban environmental factors in Dakar associated with Anopheles arabiensis densities, to assess the persistence of these associations and to describe spatial changes in at-risk environments using a decadal time scale. Methods Two SPOT images from the 1996 and 2007 rainy seasons in Dakar were processed to extract environmental factors, using supervised classification of land use and land cover, and a calculation of NDVI (Normalized Difference Vegetation Index) and distance to vegetation. Linear regressions were fitted to identify the ecological factors associated with An. arabiensis aggressiveness measured in 1994-97 in the South and centre districts of Dakar. Risk maps for populated areas were computed and compared for 1996 and 2007 using the results of the statistical models. Results Almost 60% of the variability in anopheline aggressiveness measured in 1994-97 was explained with only one variable: the built-up area in a 300-m radius buffer around the catching points. This association remained stable between 1996 and 2007. Risk maps were drawn by inverting the statistical association. The total increase of the built-up areas in Dakar was about 30% between 1996 and 2007. In proportion to the total population of the city, the population at high risk for malaria fell from 32% to 20%, whereas the low-risk population rose from 29 to 41%. Conclusions Environmental data retrieved from high spatial resolution SPOT satellite images were associated with An. arabiensis ... |
format |
Article in Journal/Newspaper |
author |
Machault Vanessa Vignolles Cécile Pagès Frédéric Gadiaga Libasse Gaye Abdoulaye Sokhna Cheikh Trape Jean-François Lacaux Jean-Pierre Rogier Christophe |
author_facet |
Machault Vanessa Vignolles Cécile Pagès Frédéric Gadiaga Libasse Gaye Abdoulaye Sokhna Cheikh Trape Jean-François Lacaux Jean-Pierre Rogier Christophe |
author_sort |
Machault Vanessa |
title |
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
title_short |
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
title_full |
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
title_fullStr |
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
title_full_unstemmed |
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data |
title_sort |
spatial heterogeneity and temporal evolution of malaria transmission risk in dakar, senegal, according to remotely sensed environmental data |
publisher |
BMC |
publishDate |
2010 |
url |
https://doi.org/10.1186/1475-2875-9-252 https://doaj.org/article/8eab0049c22b48dab039d163a8dd4bc6 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 9, Iss 1, p 252 (2010) |
op_relation |
http://www.malariajournal.com/content/9/1/252 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-9-252 1475-2875 https://doaj.org/article/8eab0049c22b48dab039d163a8dd4bc6 |
op_doi |
https://doi.org/10.1186/1475-2875-9-252 |
container_title |
Malaria Journal |
container_volume |
9 |
container_issue |
1 |
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1766345930431266816 |