Satellite Observations and Malaria: New Opportunities for Research and Applications

Michael C. Wimberly; Kirsten M. de Beurs; Tatiana V. Loboda; William K. Pan

doi:10.1016/j.pt.2021.03.003

Satellite Observations and Malaria: New Opportunities for Research and Applications

Michael C. Wimberly^*, Kirsten M. de Beurs, Tatiana V. Loboda, William K. Pan

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

44 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	525-537
Number of pages	13
Journal	Trends in Parasitology
Volume	37
Issue number	6
DOIs	https://doi.org/10.1016/j.pt.2021.03.003
Publication status	Published - Jun 2021
Externally published	Yes

Keywords

climate
land use and land cover
malaria
mosquito habitat
remote sensing
spatial decision support systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.pt.2021.03.003Licence: CC BY

Cite this

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title = "Satellite Observations and Malaria: New Opportunities for Research and Applications",

abstract = "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.",

keywords = "climate, land use and land cover, malaria, mosquito habitat, remote sensing, spatial decision support systems",

author = "Wimberly, {Michael C.} and {de Beurs}, {Kirsten M.} and Loboda, {Tatiana V.} and Pan, {William K.}",

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language = "English",

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T2 - New Opportunities for Research and Applications

AU - Wimberly, Michael C.

AU - de Beurs, Kirsten M.

AU - Loboda, Tatiana V.

AU - Pan, William K.

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

KW - climate

KW - land use and land cover

KW - malaria

KW - mosquito habitat

KW - remote sensing

KW - spatial decision support systems

U2 - 10.1016/j.pt.2021.03.003

DO - 10.1016/j.pt.2021.03.003

M3 - Article

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AN - SCOPUS:85103089982

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JO - Trends in Parasitology

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Satellite Observations and Malaria: New Opportunities for Research and Applications

Abstract

Keywords

UN SDGs

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