Dynamic Public Health Surveillance to Track and Mitigate the US COVID-19 Epidemic: Longitudinal Trend Analysis Study.

ABSTRACT:

Background

The emergence of SARS-CoV-2, the virus that causes COVID-19, has led to a global pandemic. The United States has been severely affected, accounting for the most COVID-19 cases and deaths worldwide. Without a coordinated national public health plan informed by surveillance with actionable metrics, the United States has been ineffective at preventing and mitigating the escalating COVID-19 pandemic. Existing surveillance has incomplete ascertainment and is limited by the use of standard surveillance metrics. Although many COVID-19 data sources track infection rates, informing prevention requires capturing the relevant dynamics of the pandemic.

Objective

The aim of this study is to develop dynamic metrics for public health surveillance that can inform worldwide COVID-

SUBMITTER: Post LA 

PROVIDER: S-EPMC7717896 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature