Abstract

Project III: Accounting for Measured and Unmeasured Heterogeneity in Host Populations proposes a variety of studies to assess the contribution of host heterogeneity to model parameter estimation for infections with different transmission routes and creates models incorporating two key sources of such heterogeneity: virus interference and dose-response relationships.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
2U54GM088558-06
Application #
8796418
Study Section
Special Emphasis Panel (ZGM1-BBCB-5 (MI))
Project Start
Project End
Budget Start
2014-09-20
Budget End
2015-08-31
Support Year
6
Fiscal Year
2014
Total Cost
$172,616
Indirect Cost
$65,733

  Institution

Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Lee, Chun Fan; Cowling, Benjamin J; Feng, Shuo et al. (2018) Impact of antibiotic stewardship programmes in Asia: a systematic review and meta-analysis. J Antimicrob Chemother 73:844-851
Ali, Sheikh Taslim; Wu, Peng; Cauchemez, Simon et al. (2018) Ambient ozone and influenza transmissibility in Hong Kong. Eur Respir J 51:
Feng, Shuo; Cowling, Benjamin J; Kelly, Heath et al. (2018) Estimating Influenza Vaccine Effectiveness With the Test-Negative Design Using Alternative Control Groups: A Systematic Review and Meta-Analysis. Am J Epidemiol 187:389-397
Lipsitch, Marc; Li, Lucy M; Patterson, Scott et al. (2018) Serotype-specific immune responses to pneumococcal conjugate vaccine among children are significantly correlated by individual: Analysis of randomized controlled trial data. Vaccine 36:473-478
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

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