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Assessing Malaria Risks in Greater Mekong Subregion based on Environmental ParametersAt 4,200 km, the Mekong River is the tenth longest river in the world. It directly and indirectly influences the lives of hundreds of millions of inhabitants in its basin. The riparian countries - Thailand, Myanmar, Cambodia, Laos, Vietnam, and a small part of China - form the Greater Mekong Subregion (GMS). This geographical region has the misfortune of being the world's epicenter of falciparum malaria, which is the most severe form of malaria caused by Plasmodium falciparum. Depending on the country, approximately 50 to 90% of all malaria cases are due to this species. In the Malaria Modeling and Surveillance Project, we have been developing techniques to enhance public health s decision capability for malaria risk assessments and controls. The main objectives are: 1) identifying the potential breeding sites for major vector species; 2) implementing a malaria transmission model to identify the key factors that sustain or intensify malaria transmission; and 3) implementing a risk algorithm to predict the occurrence of malaria and its transmission intensity. The potential benefits are: 1) increased warning time for public health organizations to respond to malaria outbreaks; 2) optimized utilization of pesticide and chemoprophylaxis; 3) reduced likelihood of pesticide and drug resistance; and 4) reduced damage to environment. Environmental parameters important to malaria transmission include temperature, relative humidity, precipitation, and vegetation conditions. The NASA Earth science data sets that have been used for malaria surveillance and risk assessment include AVHRR Pathfinder, TRMM, MODIS, NSIPP, and SIESIP. Hindcastings based on these environmental parameters have shown good agreement to epidemiological records. Socioeconomic factors that may influence malaria transmissions will also be incorporated into the predictive models.
Document ID
20050180356
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Kiang, Richard
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Soika, Valerii
(Science Systems and Applications, Inc. Lanham, MD, United States)
Adimi, Farida
(Science Systems and Applications, Inc. Lanham, MD, United States)
Nigro, Joseph
(Science Systems and Applications, Inc. Lanham, MD, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2005
Subject Category
Environment Pollution
Meeting Information
Meeting: 31st International Symposium on Remote Sensing of Environment
Location: Saint Petersburg
Country: Russia
Start Date: June 20, 2005
End Date: June 24, 2005
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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