Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile

Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile

Objectives: To understand and forecast the evolution of COVID-19 (Coronavirus disease 2019) in Chile, and analyze alternative simulated scenarios to better predict alternative paths, in order to implement policy solutions to stop the spread and minimize damage.Methods: We have specified a novel mult...

Full description

Bibliographic Details
Main Authors: María Ignacia Vicuña, Cristián Vásquez, Bernardo F. Quiroga
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Public Health
Subjects:
coronavirus infections
forecasting
logistic models
Quasi-Poisson regression
non-linear dynamics
Chile
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2021.610479/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2021.610479/full

Similar Items