Earth  ID: 12603

Predicting Malaria Outbreaks With NASA Satellites

In the Amazon Rainforest, few animals are as dangerous to humans as mosquitos that transmit malaria. The tropical disease can bring on severe fever, headaches and chills and is particularly severe for children and the elderly and can cause complications for pregnant women. In rainforest-covered Peru the number of malaria cases has spiked such that, in the past five years, it has had on average the second highest rate in the South American continent. In 2014 and 2015 there were 65,000 reported cases in the country.

Containing malaria outbreaks is challenging because it is difficult to figure out where people are contracting the disease. As a result, resources such as insecticide-treated bed nets and indoor sprays are often deployed to areas where few people are getting infected, allowing the outbreak to grow.

To tackle this problem, university researchers have turned to data from NASA’s fleet of Earth-observing satellites, which are able to track the types of human and environmental events that typically precede an outbreak. With funding from NASA’s Applied Sciences Program, they are working in partnership with the Peruvian government to develop a system that uses satellite and other data to help forecast outbreaks at the household level months in advance and prevent outbreaks.

Additional imagery from:
Christopher B. Plunkett Fort
James Gathany
Fábio Medeiros da Costa

 

Source Material


For More Information

https://www.nasa.gov/feature/goddard/2017/using-nasa-satellite-data-to-predict-malaria-outbreaks


Credits

Lead Scientists:
William Pan
Ben Zaitchik (Johns Hopkins University)

Producer:
Joy Ng (USRA)

Data Visualizer:
Cheng Zhang (USRA)

Writer:
Samson K. Reiny (Wyle Information Systems)

Supporters:
Greg Shirah (NASA/GSFC)
Horace Mitchell (NASA/GSFC)
Ryan Fitzgibbons (USRA)
Dalia B Kirschbaum (NASA/GSFC)

Please give credit for this item to:
NASA's Goddard Space Flight Center

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http://svs.gsfc.nasa.gov/12603

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Keywords:
DLESE >> Atmospheric science
DLESE >> Environmental science
SVS >> GPM
SVS >> HDTV
DLESE >> Human geography
SVS >> Landsat
SVS >> Rainfall
GCMD >> Earth Science >> Atmosphere >> Precipitation
GCMD >> Earth Science >> Human Dimensions >> Human Health >> Diseases/Epidemics
SVS >> Terra
SVS >> MODIS
NASA Science >> Earth
SVS >> LDAS
GCMD >> Earth Science >> Human Dimensions >> Public Health >> Diseases/epidemics
SVS >> Malaria
SVS >> Land Data Assimilation System
SVS >> Applied Science

GCMD keywords can be found on the Internet with the following citation: Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0