Samuel Chen

ORCID: 0000-0002-1070-9801
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • Forecasting Techniques and Applications
  • COVID-19 Pandemic Impacts
  • Data-Driven Disease Surveillance
  • Climate Change and Health Impacts

SUNY Upstate Medical University
2021-2022

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

10.1073/pnas.2113561119 article EN cc-by Proceedings of the National Academy of Sciences 2022-04-08

Abstract Short-term probabilistic forecasts of the trajectory COVID-19 pandemic in United States have served as a visible and important communication channel between scientific modeling community both general public decision-makers. Forecasting models provide specific, quantitative, evaluable predictions that inform short-term decisions such healthcare staffing needs, school closures, allocation medical supplies. Starting April 2020, US Forecast Hub ( https://covid19forecasthub.org/ )...

10.1101/2021.02.03.21250974 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-02-05
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