EO·Atlas
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Vector-borne disease risk mapping uses Earth observation to monitor environmental conditions that make vectors more likely to breed, survive, or transmit pathogens.[1][2]

Satellites do not observe malaria, dengue, or mosquitoes directly at operational scale. They observe predictors: temperature, rainfall and wetness, vegetation, standing-water habitat, humidity proxies, land cover, and population exposure context.[3][4]

These layers feed surveillance and early-warning systems. VectorSurv, for example, combines surveillance data with environmental surfaces to support mosquito-control and public-health decisions, while Malaria Atlas Project publishes geospatial malaria risk and covariate datasets.[5][6]

The topic is therefore a modelling topic, not a detection topic. EO layers indicate where conditions are suitable; health ministries still need case reporting, entomological sampling, intervention records, and local epidemiology to confirm risk.[1]

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2 data products, 1 service and 82 sensors. Start with the most-used; switch to Filter for the full catalogue.

2 Data products
1 Services
82 Sensors
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SSMIS —
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The Herd —
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Sources
How to cite this page

Plain text

Vector-borne disease risk. EO-Atlas, SpectraWorks B.V. https://eo-atlas.org/topics/vector-borne-disease (CC BY 4.0)

BibTeX

@misc{eoatlas:topics:vector-borne-disease,
  title = {Vector-borne disease risk},
  author = {{EO-Atlas}},
  publisher = {SpectraWorks B.V.},
  note = {CC BY 4.0},
  url = {https://eo-atlas.org/topics/vector-borne-disease}
}