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  1. Article

    Open Access

    Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

    Our ability to forecast epidemics far into the future is constrained by the many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that s...

    Emily Howerton, Lucie Contamin, Luke C. Mullany, Michelle Qin in Nature Communications (2023)

  2. Article

    Open Access

    Trade-offs between individual and ensemble forecasts of an emerging infectious disease

    Probabilistic forecasts play an indispensable role in answering questions about the spread of newly emerged pathogens. However, uncertainties about the epidemiology of emerging pathogens can make it difficult ...

    Rachel J. Oidtman, Elisa Omodei, Moritz U. G. Kraemer in Nature Communications (2021)

  3. Article

    Open Access

    Exploring scenarios of chikungunya mitigation with a data-driven agent-based model of the 2014–2016 outbreak in Colombia

    New epidemics of infectious diseases can emerge any time, as illustrated by the emergence of chikungunya virus (CHIKV) and Zika virus (ZIKV) in Latin America. During new epidemics, public health officials face...

    Guido España, John Grefenstette, Alex Perkins, Claudia Torres in Scientific Reports (2018)