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Epidemics|January 27, 2023
How time-scale differences in asymptomatic and symptomatic transmission shape SARS-CoV-2 outbreak dynamicsJeremy D Harris, Sang Woo Park, Jonathan Dushoff, et al.Epidemics|February 26, 2019
A practical generation-interval-based approach to inferring the strength of epidemics from their speedSang Woo Park, David Champredon, Joshua S Weitz, et al.Proceedings of the National Academy of Sciences of the United States of America|December 2, 2020
Awareness-driven behavior changes can shift the shape of epidemics away from peaks and toward plateaus, shoulders, and oscillationsJoshua S Weitz, Sang Woo Park, Ceyhun Eksin, et al.Epidemics|May 24, 2020
The time scale of asymptomatic transmission affects estimates of epidemic potential in the COVID-19 outbreakSang Woo Park, Daniel M Cornforth, Jonathan Dushoff, et al.Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
The time scale of asymptomatic transmission affects estimates of epidemic potential in the COVID-19 outbreakSang Woo Park, Daniel M Cornforth, Jonathan Dushoff, et al.PNAS Nexus|April 24, 2023
Intermediate levels of asymptomatic transmission can lead to the highest epidemic fatalitiesSang Woo Park, Jonathan Dushoff, Bryan T Grenfell, et al.Journal of Theoretical Biology|July 25, 2025
Infections are not alike: The effects of covariation between individual susceptibility and transmissibility on epidemic dynamicsJeremy D Harris, Esther Gallmeier, Jonathan Dushoff, et al.Scientific Reports|March 5, 2015
Modeling post-death transmission of Ebola: challenges for inference and opportunities for controlJoshua S Weitz, Jonathan DushoffProceedings. Biological Sciences|March 24, 2021
Speed and strength of an epidemic interventionJonathan Dushoff, Sang Woo ParkJournal of Mathematical Biology|June 2, 2011
A non-negative matrix factorization framework for identifying modular patterns in metagenomic profile dataXingpeng Jiang, Joshua S Weitz, Jonathan DushoffPageof 57