Multi-scale Modeling for Viral Pandemics (2/11/2021)

Contributors
Ruchira Datta, Datta Enterprise Enterprises LLC, Approximate Bayesian Computation for Inference with Complex Stochastic Simulations.

Lucas Böttcher, UCLA, Title: Using excess deaths and testing statistics to improve estimates of COVID-19 mortalities (arXiv:2101.03467).
Institution/ Affiliation
Ruchira Datta, Datta Enterprise Enterprises LLC
Lucas Böttcher, UCLA
Presentation Details (date, conference, etc.)

February 11, 2021, IMAG/MSM WG on Multiscale Modeling for Viral Pandemics 

Ruchira Datta Slides

Ruchira Datta Video

Lucas Böttcher Slides

Lucas Böttcher Video

Lucas Böttcher Abstract: Factors such as non-uniform definitions of mortality, uncertainty in disease prevalence, and biased sampling complicate the quantification of fatality during an epidemic. Regardless of the employed fatality measure, the infected population and the number of infection-caused deaths need to be consistently estimated for comparing mortality across regions. We combine historical and current mortality data, a statistical testing model, and an SIR epidemic model, to improve estimation of mortality. We find that the average excess death across the entire US is 13% higher than the number of reported COVID-19 deaths. In some areas, such as New York City, the number of weekly deaths is about eight times higher than in previous years. Other countries such as Peru, Ecuador, Mexico, and Spain exhibit excess deaths significantly higher than their reported COVID-19 deaths. Conversely, we find negligible or negative excess deaths for part and all of 2020 for Denmark, Germany, and Norway.