COVID-19 Surveillance for Local Decision Making : An Academic, School District, and Public Health Collaboration.

ABSTRACT:

Objective

Data-informed decision making is valued among school districts, but challenges remain for local health departments to provide data, especially during a pandemic. We describe the rapid planning and deployment of a school-based COVID-19 surveillance system in a metropolitan US county.

Methods

In 2020, we used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, an urban county in central Ohio. We collected, processed, analyzed, and visualized data in the COVID-19 Analytics and Targeted Surveillance System for Schools (CATS). CATS included web-based applications (public and secure versions), automated alerts, and weekly reports for the general public and decision makers, including school administrators, s

SUBMITTER: Hyder A 

PROVIDER: S-EPMC8203033 | biostudies-literature | 2021 Jul-Aug

REPOSITORIES: biostudies-literature