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. 2018 Nov 29;7(1):126.
doi: 10.1186/s40249-018-0501-9.

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

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

Pietro Ceccato et al. Infect Dis Poverty. .

Abstract

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.

Keywords: Access; Climate and environmental information; Data; Geographical information system; Malaria; Schistosomiasis; Tools; Trypanosomiasis.

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Conflict of interest statement

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Seasonal suitable and not suitable habitats for two snail species in Ndumo area of uMkhanyakude district, South Africa based on Maxent model using climatic and environmental factors: (a) Bulinus globosus in cold/dry season (June to August). (b) Biomphalaria pfeifferei in cold/dry season (June to August). (c) Bulinus globosus in hot/dry season (September to November). (d) Bulinus globosus in post rainy season (March to May) (adapted from Manyangadze et al. 2016 [16])
Fig. 2
Fig. 2
Very high spatial resolution image with location of water bodies detected in January 2017 (blue color), location of tsetse flies (red dots) and location of trypanosomiasis (green dots)
Fig. 3
Fig. 3
Dissemination of climate data derived from earth observation to local communities through the IRI Data Library and Google Earth Engine
Fig. 4
Fig. 4
Demonstration of the climate, environmental and trypanosomiasis interface on smartphone to the Maasai community in Arusha, Republic of Tanzania (photo used with permission from Paul Gwakisa)

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