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Cloud-based applications for accessing satellite Earth observations to support malaria early warning

Malaria epidemics can be triggered by fluctuations in temperature and precipitation that influence vector mosquitoes and the malaria parasite. Identifying and monitoring environmental risk factors can thus provide early warning of future outbreaks. Satellite Earth observations provide relevant measu...

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Autores principales: Wimberly, Michael C., Nekorchuk, Dawn M., Kankanala, Ramcharan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110363/
https://www.ncbi.nlm.nih.gov/pubmed/35577816
http://dx.doi.org/10.1038/s41597-022-01337-y
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author Wimberly, Michael C.
Nekorchuk, Dawn M.
Kankanala, Ramcharan R.
author_facet Wimberly, Michael C.
Nekorchuk, Dawn M.
Kankanala, Ramcharan R.
author_sort Wimberly, Michael C.
collection PubMed
description Malaria epidemics can be triggered by fluctuations in temperature and precipitation that influence vector mosquitoes and the malaria parasite. Identifying and monitoring environmental risk factors can thus provide early warning of future outbreaks. Satellite Earth observations provide relevant measurements, but obtaining these data requires substantial expertise, computational resources, and internet bandwidth. To support malaria forecasting in Ethiopia, we developed software for Retrieving Environmental Analytics for Climate and Health (REACH). REACH is a cloud-based application for accessing data on land surface temperature, spectral indices, and precipitation using the Google Earth Engine (GEE) platform. REACH can be implemented using the GEE code editor and JavaScript API, as a standalone web app, or as package with the Python API. Users provide a date range and data for 852 districts in Ethiopia are automatically summarized and downloaded as tables. REACH was successfully used in Ethiopia to support a pilot malaria early warning project in the Amhara region. The software can be extended to new locations and modified to access other environmental datasets through GEE.
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spelling pubmed-91103632022-05-18 Cloud-based applications for accessing satellite Earth observations to support malaria early warning Wimberly, Michael C. Nekorchuk, Dawn M. Kankanala, Ramcharan R. Sci Data Article Malaria epidemics can be triggered by fluctuations in temperature and precipitation that influence vector mosquitoes and the malaria parasite. Identifying and monitoring environmental risk factors can thus provide early warning of future outbreaks. Satellite Earth observations provide relevant measurements, but obtaining these data requires substantial expertise, computational resources, and internet bandwidth. To support malaria forecasting in Ethiopia, we developed software for Retrieving Environmental Analytics for Climate and Health (REACH). REACH is a cloud-based application for accessing data on land surface temperature, spectral indices, and precipitation using the Google Earth Engine (GEE) platform. REACH can be implemented using the GEE code editor and JavaScript API, as a standalone web app, or as package with the Python API. Users provide a date range and data for 852 districts in Ethiopia are automatically summarized and downloaded as tables. REACH was successfully used in Ethiopia to support a pilot malaria early warning project in the Amhara region. The software can be extended to new locations and modified to access other environmental datasets through GEE. Nature Publishing Group UK 2022-05-16 /pmc/articles/PMC9110363/ /pubmed/35577816 http://dx.doi.org/10.1038/s41597-022-01337-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wimberly, Michael C.
Nekorchuk, Dawn M.
Kankanala, Ramcharan R.
Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title_full Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title_fullStr Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title_full_unstemmed Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title_short Cloud-based applications for accessing satellite Earth observations to support malaria early warning
title_sort cloud-based applications for accessing satellite earth observations to support malaria early warning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110363/
https://www.ncbi.nlm.nih.gov/pubmed/35577816
http://dx.doi.org/10.1038/s41597-022-01337-y
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