This paper is in the following e-collection/theme issue:

Surveillance Methods in Population and Public Health (126)

Published on in Vol 10, No 1 (2018):

A Suite of Mechanistic Epidemiological Decision Support Tools

A Suite of Mechanistic Epidemiological Decision Support Tools

A Suite of Mechanistic Epidemiological Decision Support Tools

Authors of this article:

Paul Fenimore1 ;   Benjamin McMahon1 ;   Nicolas Hengartner1 ;   Timothy Germann1 ;   Judith Mourant1
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  1. Peterson J, Bay B, Koning J, Robinson P, Semler J, White J, Anirudh R, Athey K, Bremer P, Di Natale F, Fox D, Gaffney J, Jacobs S, Kailkhura B, Kustowski B, Langer S, Spears B, Thiagarajan J, Van Essen B, Yeom J. Enabling machine learning-ready HPC ensembles with Merlin. Future Generation Computer Systems 2022;131:255 View
  2. Xu H, Berres A, Thakur G, Sanyal J, Chinthavali S. EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models. Journal of Biomedical Informatics 2021;124:103941 View
  3. Forgács P, Libál A, Reichhardt C, Hengartner N, Reichhardt C. Using active matter to introduce spatial heterogeneity to the susceptible infected recovered model of epidemic spreading. Scientific Reports 2022;12(1) View
  4. Broadway K, Schwartz-Watjen K, Swiatecka A, Hadeed S, Owens A, Batni S, Wu A. Operational Considerations in Global Health Modeling. Pathogens 2021;10(10):1348 View
  5. Corbin J, Cerles A, Tebon P, Haverkate M, Campbell S, Hurst J, Woodul R, Hunzeker J, Schwartz-Watjen K, Owens A, Wu A. A Flurry of Infectious Disease Modeling Tools During the COVID-19 Pandemic, Considerations for Future Selection. Pathogens 2025;14(9):877 View

Conference Proceedings

  1. Thakur G, Sparks K, Berres A, Tansakul V, Chinthavali S, Whitehead M, Schmidt E, Xu H, Fan J, Spears D, Cranfill E. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19. COVID-19 Joint Pandemic Modeling and Analysis Platform View