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Data and tools to integrate climate and environmental information into public health

BACKGROUND: During the last 30 years, the development of geographical information systems and satellites for Earth observation has made important progress in the monitoring of the weather, climate, environmental and anthropogenic factors that influence the reduction or the reemergence of vector-born...

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Autores principales: Ceccato, Pietro, Ramirez, Bernadette, Manyangadze, Tawanda, Gwakisa, Paul, Thomson, Madeleine C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292116/
https://www.ncbi.nlm.nih.gov/pubmed/30541601
http://dx.doi.org/10.1186/s40249-018-0501-9
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author Ceccato, Pietro
Ramirez, Bernadette
Manyangadze, Tawanda
Gwakisa, Paul
Thomson, Madeleine C.
author_facet Ceccato, Pietro
Ramirez, Bernadette
Manyangadze, Tawanda
Gwakisa, Paul
Thomson, Madeleine C.
author_sort Ceccato, Pietro
collection PubMed
description BACKGROUND: During the last 30 years, the development of geographical information systems and satellites for Earth observation has made important progress in the monitoring of the weather, climate, environmental and anthropogenic factors that influence the reduction or the reemergence of vector-borne diseases. Analyses resulting from the combination of geographical information systems (GIS) and remote sensing have improved knowledge of climatic, environmental, and biodiversity factors influencing vector-borne diseases (VBDs) such as malaria, visceral leishmaniasis, dengue, Rift Valley fever, schistosomiasis, Chagas disease and leptospirosis. These knowledge and products developed using remotely sensed data helped and continue to help decision makers to better allocate limited resources in the fight against VBDs. MAIN BODY: Because VBDs are linked to climate and environment, we present here our experience during the last four years working with the projects under the, World Health Organization (WHO)/ The Special Programme for Research and Training in Tropical Diseases (TDR)-International Development Research Centre (IDRC) Research Initiative on VBDs and Climate Change to integrate climate and environmental information into research and decision-making processes. The following sections present the methodology we have developed, which uses remote sensing to monitor climate variability, environmental conditions, and their impacts on the dynamics of infectious diseases. We then show how remotely sensed data can be accessed and evaluated and how they can be integrated into research and decision-making processes for mapping risks, and creating Early Warning Systems, using two examples from the WHO TDR projects based on schistosomiasis analysis in South Africa and Trypanosomiasis in Tanzania. CONCLUSIONS: The tools presented in this article have been successfully used by the projects under the WHO/TDR-IDRC Research Initiative on VBDs and Climate Change. Combined with capacity building, they are an important piece of work which can significantly contribute to the goals of WHO Global Vector Control Response and to the Sustainable Development Goals especially those on health and climate action. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0501-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-62921162018-12-17 Data and tools to integrate climate and environmental information into public health Ceccato, Pietro Ramirez, Bernadette Manyangadze, Tawanda Gwakisa, Paul Thomson, Madeleine C. Infect Dis Poverty Commentary BACKGROUND: During the last 30 years, the development of geographical information systems and satellites for Earth observation has made important progress in the monitoring of the weather, climate, environmental and anthropogenic factors that influence the reduction or the reemergence of vector-borne diseases. Analyses resulting from the combination of geographical information systems (GIS) and remote sensing have improved knowledge of climatic, environmental, and biodiversity factors influencing vector-borne diseases (VBDs) such as malaria, visceral leishmaniasis, dengue, Rift Valley fever, schistosomiasis, Chagas disease and leptospirosis. These knowledge and products developed using remotely sensed data helped and continue to help decision makers to better allocate limited resources in the fight against VBDs. MAIN BODY: Because VBDs are linked to climate and environment, we present here our experience during the last four years working with the projects under the, World Health Organization (WHO)/ The Special Programme for Research and Training in Tropical Diseases (TDR)-International Development Research Centre (IDRC) Research Initiative on VBDs and Climate Change to integrate climate and environmental information into research and decision-making processes. The following sections present the methodology we have developed, which uses remote sensing to monitor climate variability, environmental conditions, and their impacts on the dynamics of infectious diseases. We then show how remotely sensed data can be accessed and evaluated and how they can be integrated into research and decision-making processes for mapping risks, and creating Early Warning Systems, using two examples from the WHO TDR projects based on schistosomiasis analysis in South Africa and Trypanosomiasis in Tanzania. CONCLUSIONS: The tools presented in this article have been successfully used by the projects under the WHO/TDR-IDRC Research Initiative on VBDs and Climate Change. Combined with capacity building, they are an important piece of work which can significantly contribute to the goals of WHO Global Vector Control Response and to the Sustainable Development Goals especially those on health and climate action. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0501-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-29 /pmc/articles/PMC6292116/ /pubmed/30541601 http://dx.doi.org/10.1186/s40249-018-0501-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Commentary
Ceccato, Pietro
Ramirez, Bernadette
Manyangadze, Tawanda
Gwakisa, Paul
Thomson, Madeleine C.
Data and tools to integrate climate and environmental information into public health
title Data and tools to integrate climate and environmental information into public health
title_full Data and tools to integrate climate and environmental information into public health
title_fullStr Data and tools to integrate climate and environmental information into public health
title_full_unstemmed Data and tools to integrate climate and environmental information into public health
title_short Data and tools to integrate climate and environmental information into public health
title_sort data and tools to integrate climate and environmental information into public health
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292116/
https://www.ncbi.nlm.nih.gov/pubmed/30541601
http://dx.doi.org/10.1186/s40249-018-0501-9
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