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Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors

BACKGROUND: Predicting anopheles vectors’ population densities and boundary shifts is crucial in preparing for malaria risks and unanticipated outbreaks. Although shifts in the distribution and boundaries of the major malaria vectors (Anopheles gambiae s.s. and An. arabiensis) across Africa have bee...

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Autores principales: Tonnang, Henri EZ, Tchouassi, David P, Juarez, Henry S, Igweta, Lilian K, Djouaka, Rousseau F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022448/
https://www.ncbi.nlm.nih.gov/pubmed/24885061
http://dx.doi.org/10.1186/1476-072X-13-12
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author Tonnang, Henri EZ
Tchouassi, David P
Juarez, Henry S
Igweta, Lilian K
Djouaka, Rousseau F
author_facet Tonnang, Henri EZ
Tchouassi, David P
Juarez, Henry S
Igweta, Lilian K
Djouaka, Rousseau F
author_sort Tonnang, Henri EZ
collection PubMed
description BACKGROUND: Predicting anopheles vectors’ population densities and boundary shifts is crucial in preparing for malaria risks and unanticipated outbreaks. Although shifts in the distribution and boundaries of the major malaria vectors (Anopheles gambiae s.s. and An. arabiensis) across Africa have been predicted, quantified areas of absolute change in zone of suitability for their survival have not been defined. In this study, we have quantified areas of absolute change conducive for the establishment and survival of these vectors, per African country, under two climate change scenarios and based on our findings, highlight practical measures for effective malaria control in the face of changing climatic patterns. METHODS: We developed a model using CLIMEX simulation platform to estimate the potential geographical distribution and seasonal abundance of these malaria vectors in relation to climatic factors (temperature, rainfall and relative humidity). The model yielded an eco-climatic index (EI) describing the total favourable geographical locations for the species. The EI values were classified and exported to a GIS package. Using ArcGIS, the EI shape points were clipped to the extent of Africa and then converted to a raster layer using Inverse Distance Weighted (IDW) interpolation method. Generated maps were then transformed into polygon-based geo-referenced data set and their areas computed and expressed in square kilometers (km(2)). RESULTS: Five classes of EI were derived indicating the level of survivorship of these malaria vectors. The proportion of areas increasing or decreasing in level of survival of these malaria vectors will be more pronounced in eastern and southern African countries than those in western Africa. Angola, Ethiopia, Kenya, Mozambique, Tanzania, South Africa and Zambia appear most likely to be affected in terms of absolute change of malaria vectors suitability zones under the selected climate change scenarios. CONCLUSION: The potential shifts of these malaria vectors have implications for human exposure to malaria, as recrudescence of the disease is likely to be recorded in several new areas and regions. Therefore, the need to develop, compile and share malaria preventive measures, which can be adapted to different climatic scenarios, remains crucial.
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spelling pubmed-40224482014-05-16 Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors Tonnang, Henri EZ Tchouassi, David P Juarez, Henry S Igweta, Lilian K Djouaka, Rousseau F Int J Health Geogr Research BACKGROUND: Predicting anopheles vectors’ population densities and boundary shifts is crucial in preparing for malaria risks and unanticipated outbreaks. Although shifts in the distribution and boundaries of the major malaria vectors (Anopheles gambiae s.s. and An. arabiensis) across Africa have been predicted, quantified areas of absolute change in zone of suitability for their survival have not been defined. In this study, we have quantified areas of absolute change conducive for the establishment and survival of these vectors, per African country, under two climate change scenarios and based on our findings, highlight practical measures for effective malaria control in the face of changing climatic patterns. METHODS: We developed a model using CLIMEX simulation platform to estimate the potential geographical distribution and seasonal abundance of these malaria vectors in relation to climatic factors (temperature, rainfall and relative humidity). The model yielded an eco-climatic index (EI) describing the total favourable geographical locations for the species. The EI values were classified and exported to a GIS package. Using ArcGIS, the EI shape points were clipped to the extent of Africa and then converted to a raster layer using Inverse Distance Weighted (IDW) interpolation method. Generated maps were then transformed into polygon-based geo-referenced data set and their areas computed and expressed in square kilometers (km(2)). RESULTS: Five classes of EI were derived indicating the level of survivorship of these malaria vectors. The proportion of areas increasing or decreasing in level of survival of these malaria vectors will be more pronounced in eastern and southern African countries than those in western Africa. Angola, Ethiopia, Kenya, Mozambique, Tanzania, South Africa and Zambia appear most likely to be affected in terms of absolute change of malaria vectors suitability zones under the selected climate change scenarios. CONCLUSION: The potential shifts of these malaria vectors have implications for human exposure to malaria, as recrudescence of the disease is likely to be recorded in several new areas and regions. Therefore, the need to develop, compile and share malaria preventive measures, which can be adapted to different climatic scenarios, remains crucial. BioMed Central 2014-05-07 /pmc/articles/PMC4022448/ /pubmed/24885061 http://dx.doi.org/10.1186/1476-072X-13-12 Text en Copyright © 2014 Tonnang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Tonnang, Henri EZ
Tchouassi, David P
Juarez, Henry S
Igweta, Lilian K
Djouaka, Rousseau F
Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title_full Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title_fullStr Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title_full_unstemmed Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title_short Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors
title_sort zoom in at african country level: potential climate induced changes in areas of suitability for survival of malaria vectors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022448/
https://www.ncbi.nlm.nih.gov/pubmed/24885061
http://dx.doi.org/10.1186/1476-072X-13-12
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