Work

Lessons from West Virginia’s Pandemic Response

Year: 2022

Type: article

Abstract: In this editorial discussion we describe our experience developing and implementing predictive models during the pandemic response in the state of West Virginia. We provide insights the on the importance of communication and the dynamic environment that exists that impacts predictive modeling in situations such as those that we faced. It is our hope that this work brings insight to those who may experience similar challenges while working in public health policy.

Source: Journal of Computational and Graphical Statistics

DOI: 10.1080/10618600.2022.2126481

Authors: Bradley S. Price, John P. Saldanha, Dariane Drake, Katherine Kopp

Institution: West Virginia University

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of General Medical Sciences

Awards: G1739031488, West Virginia Clinical and Translational Science Institute: Improving Health through Partnerships and Transformative Research, G2987985673, G502405985, G9000271713