Project II: New Analytic Methods for New Data Sources develops and tests statistical approaches for interpreting participatory surveillance and mobile phone data for parameterization and testing of transmission-dynamic models, uses hydrological modeling to build risk maps for malaria, and develops the statistical theory of negative controls.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM088558-10
Application #
9544981
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
10
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
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Mier-Y-Teran-Romero, Luis; Delorey, Mark J; Sejvar, James J et al. (2018) Guillain-Barré syndrome risk among individuals infected with Zika virus: a multi-country assessment. BMC Med 16:67

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