Alliance for Pandemic Preparedness
April 7, 2020
Using ILI surveillance to estimate state-specific case detection rates and forecast SARS-CoV-2 spread in the United States
Category: Article Summary
Topic: Modeling and Prediction
- Silverman & Washburne show how they repurposed publicly available CDC influenza-like illness (ILI) outpatient surveillance data to estimate the detection rate of symptomatic SARS-CoV-2 infections.
- They noted a surge of non-influenza ILI above the seasonal average that correlated with COVID-19 case counts across the states.
Silverman & Washburne (Apr 3, 2020). Using ILI surveillance to estimate state-specific case detection rates and forecast SARS-CoV-2 spread in the United States. Pre-print downloaded Apr 6 from https://doi.org/10.1101/2020.04.01.20050542