Project IV: Understanding and Controlling Antibiotic Resistance studies drug resistance in gonorrhea, tuberculosis, and pneumococcal infections, applying methods from earlier projects to understand the genetic and selective origins of resistance and the mechanisms underlying observed heterogeneities in its prevalence.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM088558-10
Application #
9544983
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
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
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 :
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
Liu, Yang; Lam, Kwok-Fai; Wu, Joseph T et al. (2018) Geographically weighted temporally correlated logistic regression model. Sci Rep 8:1417
Zhang, Hongjun; Xiong, Qian; Wu, Peng et al. (2018) Influenza-associated mortality in Yancheng, China, 2011-15. Influenza Other Respir Viruses 12:98-103

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