| Literature DB >> 33227733 |
Whitney S Brakefield1,2, Nariman Ammar1, Olufunto Olusanya1, Esra Ozdenerol3, Fridtjof Thomas4, Altha J Stewart5, Karen C Johnson4, Robert L Davis1, David L Schwartz4,6,7, Arash Shaban-Nejad1.
Abstract
The COVID-19 pandemic is broadly undercutting global health and economies, while disproportionally impacting socially disadvantaged populations. An impactful pandemic surveillance solution must draw from multi-dimensional integration of social determinants of health (SDoH) to contextually inform traditional epidemiological factors. In this article, we describe an Urban Public Health Observatory (UPHO) model which we have put into action in a mid-sized U.S. metropolitan region to provide near real-time analysis and dashboarding of ongoing COVID-19 conditions. Our goal is to illuminate associations between SDoH factors and downstream pandemic health outcomes to inform specific policy decisions and public health planning.Entities:
Keywords: COVID-19; Data Integration; Pandemic Surveillance; Precision Public Health; Urban Health Observatory
Mesh:
Year: 2020 PMID: 33227733 DOI: 10.3233/SHTI200687
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630