Unknown

Dataset Information

Modeling the population-level impact of treatment on COVID-19 disease and SARS-CoV-2 transmission.


ABSTRACT: Different COVID-19 treatment candidates are under development, and some are becoming available including two promising drugs from Merck and Pfizer. This study provides conceptual frameworks for the effects of three types of treatments, both therapeutic and prophylactic, and to investigate their population-level impact, to inform drug development, licensure, decision-making, and implementation. Different drug efficacies were assessed using an age-structured mathematical model describing SARS-CoV-2 transmission and disease progression, with application to the United States as an illustrative example. Severe and critical infection treatment reduces progression to COVID-19 severe and critical disease and death with small number of treatments needed to avert one disease or death. Post-exposure

SUBMITTER: Makhoul M 

PROVIDER: S-EPMC9013049 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature