Beyond the 405 and the 5: Geographic Variations and Factors Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity Rates in Los Angeles County

Abstract Background To highlight geographic differences and the socio-structural determinants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity within Los Angeles County (LAC). Methods A geographic information system was used to integrate, map, and analyze SARS-CoV-2 te...

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Veröffentlicht in:Clinical infectious diseases 2021-11, Vol.73 (9), p.e2970-e2975
Hauptverfasser: Vijayan, Tara, Shin, Michael, Adamson, Paul C, Harris, Christina, Seeman, Teresa, Norris, Keith C, Goodman-Meza, David
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container_end_page e2975
container_issue 9
container_start_page e2970
container_title Clinical infectious diseases
container_volume 73
creator Vijayan, Tara
Shin, Michael
Adamson, Paul C
Harris, Christina
Seeman, Teresa
Norris, Keith C
Goodman-Meza, David
description Abstract Background To highlight geographic differences and the socio-structural determinants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity within Los Angeles County (LAC). Methods A geographic information system was used to integrate, map, and analyze SARS-CoV-2 testing data reported by the LAC Department of Public Health and data from the American Community Survey. Structural determinants included race/ethnicity, poverty, insurance status, education, and population and household density. We examined which factors were associated with positivity rates, using a 5% test positivity threshold, with spatial analysis and spatial regression. Results Between 1 March and 30 June 2020 there were 843 440 SARS-CoV-2 tests and 86 383 diagnoses reported, for an overall positivity rate of 10.2% within the study area. Communities with high proportions of Latino/a residents, those living below the federal poverty line, and with high household densities had higher crude positivity rates. Age- adjusted diagnosis rates were significantly associated with the proportion of Latino/as, individuals living below the poverty line, and population and household density. Conclusions There are significant local variations in test positivity within LAC and several socio-structural determinants contribute to ongoing disparities. Public health interventions, beyond shelter in place, are needed to address and target such disparities. We highlight geographic differences and the socio-structural determinants of SARS CoV-2 test positivity within Los Angeles County. Communities with high proportions of Latino/a residents, those living below the poverty line, and with high household densities had higher crude positivity rates.
doi_str_mv 10.1093/cid/ciaa1692
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Methods A geographic information system was used to integrate, map, and analyze SARS-CoV-2 testing data reported by the LAC Department of Public Health and data from the American Community Survey. Structural determinants included race/ethnicity, poverty, insurance status, education, and population and household density. We examined which factors were associated with positivity rates, using a 5% test positivity threshold, with spatial analysis and spatial regression. Results Between 1 March and 30 June 2020 there were 843 440 SARS-CoV-2 tests and 86 383 diagnoses reported, for an overall positivity rate of 10.2% within the study area. Communities with high proportions of Latino/a residents, those living below the federal poverty line, and with high household densities had higher crude positivity rates. Age- adjusted diagnosis rates were significantly associated with the proportion of Latino/as, individuals living below the poverty line, and population and household density. Conclusions There are significant local variations in test positivity within LAC and several socio-structural determinants contribute to ongoing disparities. Public health interventions, beyond shelter in place, are needed to address and target such disparities. We highlight geographic differences and the socio-structural determinants of SARS CoV-2 test positivity within Los Angeles County. Communities with high proportions of Latino/a residents, those living below the poverty line, and with high household densities had higher crude positivity rates.</description><identifier>ISSN: 1058-4838</identifier><identifier>EISSN: 1537-6591</identifier><identifier>DOI: 10.1093/cid/ciaa1692</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><ispartof>Clinical infectious diseases, 2021-11, Vol.73 (9), p.e2970-e2975</ispartof><rights>The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c295t-7b44360aef57b2807aed01da4e8f1d3f2e0f80d1876b2cceac9c38ccdd20b10b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids></links><search><creatorcontrib>Vijayan, Tara</creatorcontrib><creatorcontrib>Shin, Michael</creatorcontrib><creatorcontrib>Adamson, Paul C</creatorcontrib><creatorcontrib>Harris, Christina</creatorcontrib><creatorcontrib>Seeman, Teresa</creatorcontrib><creatorcontrib>Norris, Keith C</creatorcontrib><creatorcontrib>Goodman-Meza, David</creatorcontrib><title>Beyond the 405 and the 5: Geographic Variations and Factors Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity Rates in Los Angeles County</title><title>Clinical infectious diseases</title><description>Abstract Background To highlight geographic differences and the socio-structural determinants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity within Los Angeles County (LAC). Methods A geographic information system was used to integrate, map, and analyze SARS-CoV-2 testing data reported by the LAC Department of Public Health and data from the American Community Survey. Structural determinants included race/ethnicity, poverty, insurance status, education, and population and household density. We examined which factors were associated with positivity rates, using a 5% test positivity threshold, with spatial analysis and spatial regression. Results Between 1 March and 30 June 2020 there were 843 440 SARS-CoV-2 tests and 86 383 diagnoses reported, for an overall positivity rate of 10.2% within the study area. Communities with high proportions of Latino/a residents, those living below the federal poverty line, and with high household densities had higher crude positivity rates. Age- adjusted diagnosis rates were significantly associated with the proportion of Latino/as, individuals living below the poverty line, and population and household density. Conclusions There are significant local variations in test positivity within LAC and several socio-structural determinants contribute to ongoing disparities. Public health interventions, beyond shelter in place, are needed to address and target such disparities. We highlight geographic differences and the socio-structural determinants of SARS CoV-2 test positivity within Los Angeles County. Communities with high proportions of Latino/a residents, those living below the poverty line, and with high household densities had higher crude positivity rates.</description><issn>1058-4838</issn><issn>1537-6591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u2zAQhIWiAeomueUB9tYUiBKSEi2qN0do0gAGElj5OQoUuYpZ2KJCUgb0VH3FMrV7zWGxM8CHmcMkyRkll5SU2ZUyOp6UdF6yT8mM8qxI57ykn6MmXKS5yMSX5Kv3vwmhVBA-S_5c42R7DWGNkBMO8qD5D7hF--rksDYKnqUzMhjb-3_AjVTBOg8L723sC6jhxYQ11LhDh7BQY0BYoR-MkxGcoJ567ewWobLO9nJn3OiBwXm9WNVpZZ9T9h0erDfB7EyYYBUjPZgeljaW9K-4ibayYx-mk-SokxuPp4d_nDzd_HysfqXL-9u7arFMFSt5SIs2z7M5kdjxomWCFBI1oVrmKDqqs44h6QTRVBTzlimFUpUqE0ppzUhLSZsdJ-f73MHZtxF9aLbGK9xsZI929A3LecGKgvEsohd7VDnrvcOuGZzZSjc1lDTvuzRxl-b_LhH_tsftOHxM_gXuEJCY</recordid><startdate>20211102</startdate><enddate>20211102</enddate><creator>Vijayan, Tara</creator><creator>Shin, Michael</creator><creator>Adamson, Paul C</creator><creator>Harris, Christina</creator><creator>Seeman, Teresa</creator><creator>Norris, Keith C</creator><creator>Goodman-Meza, David</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20211102</creationdate><title>Beyond the 405 and the 5: Geographic Variations and Factors Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity Rates in Los Angeles County</title><author>Vijayan, Tara ; Shin, Michael ; Adamson, Paul C ; Harris, Christina ; Seeman, Teresa ; Norris, Keith C ; Goodman-Meza, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-7b44360aef57b2807aed01da4e8f1d3f2e0f80d1876b2cceac9c38ccdd20b10b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vijayan, Tara</creatorcontrib><creatorcontrib>Shin, Michael</creatorcontrib><creatorcontrib>Adamson, Paul C</creatorcontrib><creatorcontrib>Harris, Christina</creatorcontrib><creatorcontrib>Seeman, Teresa</creatorcontrib><creatorcontrib>Norris, Keith C</creatorcontrib><creatorcontrib>Goodman-Meza, David</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vijayan, Tara</au><au>Shin, Michael</au><au>Adamson, Paul C</au><au>Harris, Christina</au><au>Seeman, Teresa</au><au>Norris, Keith C</au><au>Goodman-Meza, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beyond the 405 and the 5: Geographic Variations and Factors Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity Rates in Los Angeles County</atitle><jtitle>Clinical infectious diseases</jtitle><date>2021-11-02</date><risdate>2021</risdate><volume>73</volume><issue>9</issue><spage>e2970</spage><epage>e2975</epage><pages>e2970-e2975</pages><issn>1058-4838</issn><eissn>1537-6591</eissn><abstract>Abstract Background To highlight geographic differences and the socio-structural determinants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity within Los Angeles County (LAC). Methods A geographic information system was used to integrate, map, and analyze SARS-CoV-2 testing data reported by the LAC Department of Public Health and data from the American Community Survey. Structural determinants included race/ethnicity, poverty, insurance status, education, and population and household density. We examined which factors were associated with positivity rates, using a 5% test positivity threshold, with spatial analysis and spatial regression. Results Between 1 March and 30 June 2020 there were 843 440 SARS-CoV-2 tests and 86 383 diagnoses reported, for an overall positivity rate of 10.2% within the study area. Communities with high proportions of Latino/a residents, those living below the federal poverty line, and with high household densities had higher crude positivity rates. Age- adjusted diagnosis rates were significantly associated with the proportion of Latino/as, individuals living below the poverty line, and population and household density. Conclusions There are significant local variations in test positivity within LAC and several socio-structural determinants contribute to ongoing disparities. Public health interventions, beyond shelter in place, are needed to address and target such disparities. We highlight geographic differences and the socio-structural determinants of SARS CoV-2 test positivity within Los Angeles County. Communities with high proportions of Latino/a residents, those living below the poverty line, and with high household densities had higher crude positivity rates.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/cid/ciaa1692</doi><oa>free_for_read</oa></addata></record>
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title Beyond the 405 and the 5: Geographic Variations and Factors Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity Rates in Los Angeles County
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