Importance of Local Data and Resource Allocation for Effective Successful Public Health Interventions to Reduce COVID-19 Transmission: Commentary on COVID-19 Medical Vulnerability Indicators: A Predictive Local Data Model for Equity in Public Health Decision-Making

Edward Sondik; Jonathan Fielding

doi:10.3390/ijerph18105454

Importance of Local Data and Resource Allocation for Effective Successful Public Health Interventions to Reduce COVID-19 Transmission: Commentary on COVID-19 Medical Vulnerability Indicators: A Predictive Local Data Model for Equity in Public Health Decision-Making

Int J Environ Res Public Health. 2021 May 20;18(10):5454. doi: 10.3390/ijerph18105454.

Authors

Edward Sondik¹, Jonathan Fielding²

Affiliations

¹ National Center for Health Statistics, Hyattsville, MD 20782, USA.
² Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.

Abstract

The article, COVID-19 Medical Vulnerability Indicators: Predictive Local Data Model for Equity in Public Health Decision-Making (2021), is an important contribution to identifying and prioritizing the needs of Los Angeles' public healthcare in responding to the COVID-19 pandemic crisis [...].

Publication types

Comment

MeSH terms

COVID-19*
Decision Making
Humans
Los Angeles
Pandemics
Public Health*
Resource Allocation
SARS-CoV-2