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American Journal of Epidemiology|March 10, 2018
Competing Effects of Indirect Protection and Clustering on the Power of Cluster-Randomized Controlled Vaccine TrialsMatt D T Hitchings, Marc Lipsitch, Rui Wang, et al.Plos Medicine|July 14, 2011
Predicting the epidemic sizes of influenza A/H1N1, A/H3N2, and B: a statistical methodEdward Goldstein, Sarah Cobey, Saki Takahashi, et al.Scientific Reports|August 18, 2015
Examining the role of different age groups, and of vaccination during the 2012 Minnesota pertussis outbreakColin J Worby, Cynthia Kenyon, Ruth Lynfield, et al.Plos Computational Biology|April 7, 2020
Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic trackingSarah F McGough, Michael A Johansson, Marc Lipsitch, et al.Open Forum Infectious Diseases|July 20, 2023
Geographic Targeting of COVID-19 Testing to Maximize Detection in Los Angeles CountyKatherine M Jia, Rebecca Kahn, Rebecca Fisher, et al.The Lancet. Infectious Diseases|April 5, 2020
Using observational data to quantify bias of traveller-derived COVID-19 prevalence estimates in Wuhan, ChinaRene Niehus, Pablo M De Salazar, Aimee R Taylor, et al.Vaccine|January 25, 2023
Comparative performance of between-population vaccine allocation strategies with applications for emerging pandemicsKeya Joshi, Eva Rumpler, Lee Kennedy-Shaffer, et al.Medrxiv : the Preprint Server for Health Sciences|July 2, 2021
Comparative performance of between-population vaccine allocation strategies with applications for emerging pandemicsKeya Joshi, Eva Rumpler, Lee Kennedy-Shaffer, et al.Plos Medicine|August 8, 2018
Choices in vaccine trial design in epidemics of emerging infectionsRebecca Kahn, Annette Rid, Peter G Smith, et al.Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelersRene Niehus, Pablo M De Salazar, Aimee R Taylor, et al.Pageof 43