Abstract

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.

  Funding Agency

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

  Institution

Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code

  Publications

Moser, Carlee B; White, Laura F (2018) Estimating age-specific reproductive numbers-A comparison of methods. Stat Methods Med Res 27:2050-2059
Zimmer, Christoph; Leuba, Sequoia I; Cohen, Ted et al. (2018) Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models. Stat Methods Med Res :962280218805780
Olesen, Scott W; Grad, Yonatan H (2018) Racial/Ethnic Disparities in Antimicrobial Drug Use, United States, 2014-2015. Emerg Infect Dis 24:2126-2128
Li, Yu; Chang, Zhaorui; Wu, Peng et al. (2018) Emerging Enteroviruses Causing Hand, Foot and Mouth Disease, China, 2010-2016. Emerg Infect Dis 24:1902-1906
Wesolowski, Amy; Winter, Amy; Tatem, Andrew J et al. (2018) Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control. Epidemiol Infect 146:1575-1583
Goldstein, Edward; Nguyen, Hieu H; Liu, Patrick et al. (2018) On the Relative Role of Different Age Groups During Epidemics Associated With Respiratory Syncytial Virus. J Infect Dis 217:238-244
Lam, Ha Minh; Wesolowski, Amy; Hung, Nguyen Thanh et al. (2018) Nonannual seasonality of influenza-like illness in a tropical urban setting. Influenza Other Respir Viruses 12:742-754
Yang, Juan; Lau, Yiu Chung; Wu, Peng et al. (2018) Variation in Influenza B Virus Epidemiology by Lineage, China. Emerg Infect Dis 24:1536-1540
Kahn, Rebecca; Hitchings, Matt; Bellan, Steven et al. (2018) Impact of stochastically generated heterogeneity in hazard rates on individually randomized vaccine efficacy trials. Clin Trials 15:207-211
Hitchings, Matt D T; Lipsitch, Marc; Wang, Rui et al. (2018) Competing Effects Of Indirect Protection And Clustering On The Power Of Cluster-Randomized Controlled Vaccine Trials. Am J Epidemiol :

Showing the most recent 10 out of 462 publications