Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths
ObjectivesTo explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.953198/full |
| _version_ | 1811265763648995328 |
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| author | Jinghua An Shelley Hoover Sreenivas Konda Sage J. Kim |
| author_facet | Jinghua An Shelley Hoover Sreenivas Konda Sage J. Kim |
| author_sort | Jinghua An |
| collection | DOAJ |
| description | ObjectivesTo explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois.MethodsWe counted COVID-19 death records from the Cook County Medical Examiner's Office, geocoded incident addresses by census tracts, and appended census tracts' CCVI scores. Negative binomial regression and Random Forest were used to examine the relative importance of CCVI themes in explaining COVID-19 mortality rates.ResultsCOVID-19 specific Themes 6 (High risk environments) and 4 (Epidemiological factors) were the most important in explaining COVID-19 mortality (incidence rate ratio (IRR) = 6.80 and 6.44, respectively), followed by a general Theme 2 (Minority status & language, IRR = 3.26).ConclusionThe addition of disaster-specific indicators may improve the accuracy of social vulnerability indices. However, variance for Theme 6 was entirely from the long-term care resident indicator, as the other two indicators were constant at the census tract level. Thus, CCVI should be further refined to improve its effectiveness in identifying vulnerable communities. Also, building a more robust local data infrastructure is critical to understanding the vulnerabilities of local places. |
| first_indexed | 2024-04-12T20:29:47Z |
| format | Article |
| id | doaj.art-dc64358d658940179d19ee90d6f1e981 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-12T20:29:47Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-dc64358d658940179d19ee90d6f1e9812022-12-22T03:17:47ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-09-011010.3389/fpubh.2022.953198953198Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deathsJinghua An0Shelley Hoover1Sreenivas Konda2Sage J. Kim3Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United StatesSchool of Public Health, University of Illinois at Chicago, Chicago, IL, United StatesDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, United StatesDivision of Health Policy and Administration, School of Public Health, University of Illinois at Chicago, Chicago, IL, United StatesObjectivesTo explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois.MethodsWe counted COVID-19 death records from the Cook County Medical Examiner's Office, geocoded incident addresses by census tracts, and appended census tracts' CCVI scores. Negative binomial regression and Random Forest were used to examine the relative importance of CCVI themes in explaining COVID-19 mortality rates.ResultsCOVID-19 specific Themes 6 (High risk environments) and 4 (Epidemiological factors) were the most important in explaining COVID-19 mortality (incidence rate ratio (IRR) = 6.80 and 6.44, respectively), followed by a general Theme 2 (Minority status & language, IRR = 3.26).ConclusionThe addition of disaster-specific indicators may improve the accuracy of social vulnerability indices. However, variance for Theme 6 was entirely from the long-term care resident indicator, as the other two indicators were constant at the census tract level. Thus, CCVI should be further refined to improve its effectiveness in identifying vulnerable communities. Also, building a more robust local data infrastructure is critical to understanding the vulnerabilities of local places.https://www.frontiersin.org/articles/10.3389/fpubh.2022.953198/fullCOVID-19 mortalitysocial vulnerability indexcommunity vulnerabilitynegative binomial regressionrandom forest |
| spellingShingle | Jinghua An Shelley Hoover Sreenivas Konda Sage J. Kim Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths Frontiers in Public Health COVID-19 mortality social vulnerability index community vulnerability negative binomial regression random forest |
| title | Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths |
| title_full | Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths |
| title_fullStr | Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths |
| title_full_unstemmed | Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths |
| title_short | Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths |
| title_sort | effectiveness of the covid 19 community vulnerability index in explaining covid 19 deaths |
| topic | COVID-19 mortality social vulnerability index community vulnerability negative binomial regression random forest |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.953198/full |
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