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      Comparison of National Vulnerability Indices Used by the Centers for Disease Control and Prevention for the COVID-19 Response

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          Abstract

          Objective:

          Vulnerability indices use quantitative indicators and geospatial data to examine the level of vulnerability to morbidity in a community. The Centers for Disease Control and Prevention (CDC) uses 3 indices for the COVID-19 response: the CDC Social Vulnerability Index (CDC-SVI), the US COVID-19 Community Vulnerability Index (CCVI), and the Pandemic Vulnerability Index (PVI). The objective of this review was to describe these tools and explain the similarities and differences between them.

          Methods:

          We described the 3 indices, outlined the underlying data sources and metrics for each, and discussed their use by CDC for the COVID-19 response. We compared the percentile score for each county for each index by calculating Spearman correlation coefficients (Spearman ρ).

          Results:

          These indices have some, but not all, component metrics in common. The CDC-SVI is a validated metric that estimates social vulnerability, which comprises the underlying population-level characteristics that influence differences in health risk among communities. To address risk specific to the COVID-19 pandemic, the CCVI and PVI build on the CDC-SVI and include additional variables. The 3 indices were highly correlated. Spearman ρ for comparisons between the CDC-SVI score and the CCVI and between the CCVI and the PVI score was 0.83. Spearman ρ for the comparison between the CDC-SVI score and PVI score was 0.73.

          Conclusion:

          The indices can empower local and state public health officials with additional information to focus resources and interventions on disproportionately affected populations to combat the ongoing pandemic and plan for future pandemics.

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          Most cited references16

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          Racial Health Disparities and Covid-19 — Caution and Context

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            A Social Vulnerability Index for Disaster Management

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              Is Open Access

              Association of Social and Demographic Factors With COVID-19 Incidence and Death Rates in the US

              Key Points Question Are population-level social factors associated with coronavirus disease 2019 (COVID-19) incidence and mortality? Findings In this cross-sectional study including 4 289 283 COVID-19 cases and 147 074 COVID-19 deaths, county-level sociodemographic risk factors as assessed by the Social Vulnerability Index were associated with greater COVID-19 incidence and mortality. Meaning These findings suggest that to address inequities in the burden of the COVID-19 pandemic, these sociodemographic risk factors and their root causes must be addressed.
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                Author and article information

                Journal
                Public Health Rep
                Public Health Rep
                PHR
                spphr
                Public Health Reports
                SAGE Publications (Sage CA: Los Angeles, CA )
                0033-3549
                1468-2877
                5 May 2022
                Jul-Aug 2022
                : 137
                : 4
                : 803-812
                Affiliations
                [1 ]COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
                [2 ]Biostatistics and Computational Biology Branch, National Institute for Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
                [3 ]Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
                Author notes
                [*]Amy Wolkin, DrPH, Centers for Disease Control and Prevention, COVID-19 Response Team, 4770 Buford Hwy NE, MS S106-8, Atlanta, GA 30341, USA. Email: ajf9@ 123456cdc.gov
                Author information
                https://orcid.org/0000-0003-4307-7641
                https://orcid.org/0000-0001-7815-6767
                https://orcid.org/0000-0003-1898-6202
                Article
                10.1177_00333549221090262
                10.1177/00333549221090262
                9257512
                35514159
                81ebe4e9-532b-4178-a225-7c7c6158eb10
                © 2022, Association of Schools and Programs of Public Health
                History
                Categories
                Research
                Custom metadata
                ts1
                July/August 2022

                covid-19,vulnerability,social vulnerability index,gis,geographic information systems

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