Malaria Modeling and Transmission

  • Released Monday, April 13, 2015
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Remote sensing data products which are input into malaria model.

Remote sensing data products which are input into malaria model.

Despite efforts to eradicate malaria in the 1950s and 1960s, the disease has remained endemic in many tropical areas of the world. Because wide spread spraying of insecticides to control the mosquitos which spread malaria is costly and damaging to the environment, better methods of mosquito control are needed.

One approach to solving this problem involves modeling the lifecycle of the mosquitos which transmit malaria in order to predict when and where they will be most abundant. Remote sensing data, such as maps of temperature, vegetation, and rainfall are combined with models of the mosquito's lifecycle in order to predict where the mosquitos will live and breed. Insecticide and other treatments can then be targeted to those times and areas when they will have the most effect.

For More Information

See science.gsfc.nasa.gov/sed/content/uploadFiles/highlight_files/MalariaModellingandSurveillance.ppt

Credits

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


Kiang, Richard, et al. "Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand." Geospatial health 1.1 (2006): 71-84.

This page was originally published on Monday, April 13, 2015.
This page was last updated on Tuesday, November 14, 2023 at 12:27 AM EST.

Papers used in this visualization

Kiang, Richard, Farida Adimi, and Radina Soebiyanto. "MALARIA MODELING & SURVEILLANCE." (2009).