Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

University of Massachusetts Amherst · Centers for Disease Control and Prevention · +71 more institutions

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Abstract

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel…

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315
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100%
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Authors

295

Topics & keywords

Keywords
  • Probabilistic logic
  • Staffing
  • Geospatial analysis
  • Coronavirus disease 2019 (COVID-19)
  • Baseline (sea)
  • Actuarial science
  • Operations research
  • Public health
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