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Network Modeling Approaches for Malaria Surveillance

Praveen Ravi of Athena Infonomics India Private Ltd. in India will develop a real-time surveillance model and simple recommendation engine for local governments in India to better monitor and react to the spread of malaria. They will develop low-cost methods to incorporate existing and diverse data from multiple sources related to the insect vectors and infections, such as the use of vector elimination products and medical reports of malaria cases, and demographic data such as population density. Their model will be pilot tested during the high-risk season in the Indian state of Odisha where there is a high malaria burden.

Grant ID
OPP1161750
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Funding Amount (in original currency)
100000.00
Funding Currency
USD
Funding Amount (in USD)
100000.00
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Funding Date Range
-
Funding Total (In US dollars)
100000.00
Co-Funded
False