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Forecast: the impacts of vaccines and variants on the U.S. COVID trajectory

In a report summary released today Thomas McAndrew, a computational scientist and assistant professor at Lehigh University’s College of Health includes probabilistic forecasts of the impact of vaccines and variants on the U.S. COVID trajectory over the next few weeks. The goal of the report, says McAndrew, is “to support public health officials, infectious disease modeling groups, and the general public”

Report highlights:

The team will share with members of the Centers for Disease Control and Prevention (CDC), the Council of State and Territorial Epidemiologists, and members of MIDAS.

McAndrew’s approach to forecasting is different from the traditional approach. Rather than build a computational model to predict cases, deaths, and hospitalizations due to COVID, he asks experts and trained forecasters to predict these targets and combines their predictions into a single consensus forecast.

In addition he and his team produce a metaforecast, which is a combination of an ensemble of computational models and their consensus forecast.

“The idea behind this approach is to combine computational models with human judgment to make more accurate predictions of the U.S. outbreak,” says McAndrew.

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Two Lehigh University undergraduates Damon Luk (’21), an electrical engineering major and computer science, Allison Codi (’22), an IDEAS (Integrated Degree in Engineering, Arts and Sciences) major with a concentrations in Computer Science and Health, Medicine, and Society, as well as Cognitive Psychology postdoctoral researcher David Braun join McAndrew as first authors on the report. Additional authors include Juan Cambeiro and Tamay Besiroglu of Metaculus and Eva Chen and Luis Enrique Urtubey de C´esaris of Good Judgement Inc.