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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

Author

Listed:
  • Edward Sondik

    (National Center for Health Statistics, Hyattsville, MD 20782, USA)

  • Jonathan Fielding

    (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 [...]

Suggested Citation

  • Edward Sondik & Jonathan Fielding, 2021. "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 Predic," IJERPH, MDPI, vol. 18(10), pages 1-2, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5454-:d:558182
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    References listed on IDEAS

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    1. Paul M. Ong & Chhandara Pech & Nataly Rios Gutierrez & Vickie M. Mays, 2021. "COVID-19 Medical Vulnerability Indicators: A Predictive, Local Data Model for Equity in Public Health Decision Making," IJERPH, MDPI, vol. 18(9), pages 1-23, April.
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