Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase.

Trop Med Infect Dis

National Aeronautics Space Administration (NASA), MSFC ST11, NSSTC, 320 Sparkman Drive, Huntsville, AL 35805, USA.

Published: January 2019

AI Article Synopsis

  • The spread of vector-borne diseases is influenced by environmental factors that affect the vectors and the host's temperature, impacting the development of infectious agents.
  • The launch of NASA's SMAP satellite and the ECOSTRESS instrument has enhanced ecological and climate research by improving the ability to classify ecosystems crucial for vector survival.
  • Advances in satellite technology permit detailed mapping of diseases at various scales, including household-level, highlighting the importance of GIS and modeling in understanding parasitic diseases.

Article Abstract

The distribution of diseases caused by vector-borne viruses and parasites are restricted by the environmental requirements of their vectors, but also by the ambient temperature inside the host as it influences the speed of maturation of the infectious agent transferred. The launch of the Soil Moisture Active Passive (SMAP) satellite in 2015, and the new ECOSTRESS instrument onboard the International Space Station (ISS) in 2018, established the leadership of the National Aeronautics Space Administration (NASA) in ecology and climate research by allowing the structural and functional classification of ecosystems that govern vector sustainability. These advances, and the availability of sub-meter resolution data from commercial satellites, contribute to seamless mapping and modelling of diseases, not only at continental scales (1 km²) and local community or agricultural field scales (15⁻30 m²), but for the first time, also at the habitat⁻household scale (<1 m²). This communication presents current capabilities that are related to data collection by Earth-observing satellites, and draws attention to the usefulness of geographical information systems (GIS) and modelling for the study of important parasitic diseases.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473698PMC
http://dx.doi.org/10.3390/tropicalmed4010015DOI Listing

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