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Satellite Observations and Malaria: New Opportunities for Research and Applications

Satellite remote sensing provides a wealth of information about environmental factors that influence malaria transmission cycles and human populations at risk. Long-term observations facilitate analysis of climate–malaria relationships, and high-resolution data can be used to assess the effects of a...

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Autores principales: Wimberly, Michael C., de Beurs, Kirsten M., Loboda, Tatiana V., Pan, William K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122067/
https://www.ncbi.nlm.nih.gov/pubmed/33775559
http://dx.doi.org/10.1016/j.pt.2021.03.003
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author Wimberly, Michael C.
de Beurs, Kirsten M.
Loboda, Tatiana V.
Pan, William K.
author_facet Wimberly, Michael C.
de Beurs, Kirsten M.
Loboda, Tatiana V.
Pan, William K.
author_sort Wimberly, Michael C.
collection PubMed
description Satellite remote sensing provides a wealth of information about environmental factors that influence malaria transmission cycles and human populations at risk. Long-term observations facilitate analysis of climate–malaria relationships, and high-resolution data can be used to assess the effects of agriculture, urbanization, deforestation, and water management on malaria. New sources of very-high-resolution satellite imagery and synthetic aperture radar data will increase the precision and frequency of observations. Cloud computing platforms for remote sensing data combined with analysis-ready datasets and high-level data products have made satellite remote sensing more accessible to nonspecialists. Further collaboration between the malaria and remote sensing communities is needed to develop and implement useful geospatial data products that will support global efforts toward malaria control, elimination, and eradication.
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spelling pubmed-81220672021-06-01 Satellite Observations and Malaria: New Opportunities for Research and Applications Wimberly, Michael C. de Beurs, Kirsten M. Loboda, Tatiana V. Pan, William K. Trends Parasitol Article Satellite remote sensing provides a wealth of information about environmental factors that influence malaria transmission cycles and human populations at risk. Long-term observations facilitate analysis of climate–malaria relationships, and high-resolution data can be used to assess the effects of agriculture, urbanization, deforestation, and water management on malaria. New sources of very-high-resolution satellite imagery and synthetic aperture radar data will increase the precision and frequency of observations. Cloud computing platforms for remote sensing data combined with analysis-ready datasets and high-level data products have made satellite remote sensing more accessible to nonspecialists. Further collaboration between the malaria and remote sensing communities is needed to develop and implement useful geospatial data products that will support global efforts toward malaria control, elimination, and eradication. 2021-03-25 2021-06 /pmc/articles/PMC8122067/ /pubmed/33775559 http://dx.doi.org/10.1016/j.pt.2021.03.003 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Wimberly, Michael C.
de Beurs, Kirsten M.
Loboda, Tatiana V.
Pan, William K.
Satellite Observations and Malaria: New Opportunities for Research and Applications
title Satellite Observations and Malaria: New Opportunities for Research and Applications
title_full Satellite Observations and Malaria: New Opportunities for Research and Applications
title_fullStr Satellite Observations and Malaria: New Opportunities for Research and Applications
title_full_unstemmed Satellite Observations and Malaria: New Opportunities for Research and Applications
title_short Satellite Observations and Malaria: New Opportunities for Research and Applications
title_sort satellite observations and malaria: new opportunities for research and applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122067/
https://www.ncbi.nlm.nih.gov/pubmed/33775559
http://dx.doi.org/10.1016/j.pt.2021.03.003
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