Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters
Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters.Methods: We analyzed 3,355 SARS-CoV-2 positive test results in the state of Geneva (Switzerland) from February 26 to April 30, 2020. We used a spatiotemporal cluster detection algor...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2020.626090/full |
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| author | David De Ridder David De Ridder David De Ridder David De Ridder José Sandoval José Sandoval Nicolas Vuilleumier Andrew S. Azman Andrew S. Azman Silvia Stringhini Silvia Stringhini Laurent Kaiser Stéphane Joost Stéphane Joost Stéphane Joost Idris Guessous Idris Guessous Idris Guessous Idris Guessous |
| author_facet | David De Ridder David De Ridder David De Ridder David De Ridder José Sandoval José Sandoval Nicolas Vuilleumier Andrew S. Azman Andrew S. Azman Silvia Stringhini Silvia Stringhini Laurent Kaiser Stéphane Joost Stéphane Joost Stéphane Joost Idris Guessous Idris Guessous Idris Guessous Idris Guessous |
| author_sort | David De Ridder |
| collection | DOAJ |
| description | Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters.Methods: We analyzed 3,355 SARS-CoV-2 positive test results in the state of Geneva (Switzerland) from February 26 to April 30, 2020. We used a spatiotemporal cluster detection algorithm to monitor SARS-CoV-2 transmission dynamics and defined spatial cluster persistence as the time in days from emergence to disappearance. Using spatial cluster persistence measured outcome and a deprivation index based on neighborhood-level census socioeconomic data, stratified survival functions were estimated using the Kaplan-Meier estimator. Population density adjusted Cox proportional hazards (PH) regression models were then used to examine the association between neighborhood socioeconomic deprivation and persistence of SARS-CoV-2 clusters.Results: SARS-CoV-2 clusters persisted significantly longer in socioeconomically disadvantaged neighborhoods. In the Cox PH model, the standardized deprivation index was associated with an increased spatial cluster persistence (hazard ratio [HR], 1.43 [95% CI, 1.28–1.59]). The adjusted tercile-specific deprivation index HR was 1.82 [95% CI, 1.56–2.17].Conclusions: The increased risk of infection of disadvantaged individuals may also be due to the persistence of community transmission. These findings further highlight the need for interventions mitigating inequalities in the risk of SARS-CoV-2 infection and thus, of serious illness and mortality. |
| first_indexed | 2024-12-15T00:46:12Z |
| format | Article |
| id | doaj.art-cf2d6b6dfeac42dca5e735d703e3d011 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-15T00:46:12Z |
| publishDate | 2021-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-cf2d6b6dfeac42dca5e735d703e3d0112022-12-21T22:41:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-01-01810.3389/fpubh.2020.626090626090Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 ClustersDavid De Ridder0David De Ridder1David De Ridder2David De Ridder3José Sandoval4José Sandoval5Nicolas Vuilleumier6Andrew S. Azman7Andrew S. Azman8Silvia Stringhini9Silvia Stringhini10Laurent Kaiser11Stéphane Joost12Stéphane Joost13Stéphane Joost14Idris Guessous15Idris Guessous16Idris Guessous17Idris Guessous18Geneva University Hospitals, Geneva, SwitzerlandFaculty of Medicine, University of Geneva, Geneva, SwitzerlandLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesGeneva University Hospitals, Geneva, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandFaculty of Medicine, University of Geneva, Geneva, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, SwitzerlandGeneva University Hospitals, Geneva, SwitzerlandFaculty of Medicine, University of Geneva, Geneva, SwitzerlandLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, SwitzerlandObjective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters.Methods: We analyzed 3,355 SARS-CoV-2 positive test results in the state of Geneva (Switzerland) from February 26 to April 30, 2020. We used a spatiotemporal cluster detection algorithm to monitor SARS-CoV-2 transmission dynamics and defined spatial cluster persistence as the time in days from emergence to disappearance. Using spatial cluster persistence measured outcome and a deprivation index based on neighborhood-level census socioeconomic data, stratified survival functions were estimated using the Kaplan-Meier estimator. Population density adjusted Cox proportional hazards (PH) regression models were then used to examine the association between neighborhood socioeconomic deprivation and persistence of SARS-CoV-2 clusters.Results: SARS-CoV-2 clusters persisted significantly longer in socioeconomically disadvantaged neighborhoods. In the Cox PH model, the standardized deprivation index was associated with an increased spatial cluster persistence (hazard ratio [HR], 1.43 [95% CI, 1.28–1.59]). The adjusted tercile-specific deprivation index HR was 1.82 [95% CI, 1.56–2.17].Conclusions: The increased risk of infection of disadvantaged individuals may also be due to the persistence of community transmission. These findings further highlight the need for interventions mitigating inequalities in the risk of SARS-CoV-2 infection and thus, of serious illness and mortality.https://www.frontiersin.org/articles/10.3389/fpubh.2020.626090/fullSARS-CoV-2COVID-19socioeconomic inequalitiesspatial clustering analysiscluster persistencetransmission dynamics |
| spellingShingle | David De Ridder David De Ridder David De Ridder David De Ridder José Sandoval José Sandoval Nicolas Vuilleumier Andrew S. Azman Andrew S. Azman Silvia Stringhini Silvia Stringhini Laurent Kaiser Stéphane Joost Stéphane Joost Stéphane Joost Idris Guessous Idris Guessous Idris Guessous Idris Guessous Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters Frontiers in Public Health SARS-CoV-2 COVID-19 socioeconomic inequalities spatial clustering analysis cluster persistence transmission dynamics |
| title | Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters |
| title_full | Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters |
| title_fullStr | Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters |
| title_full_unstemmed | Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters |
| title_short | Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters |
| title_sort | socioeconomically disadvantaged neighborhoods face increased persistence of sars cov 2 clusters |
| topic | SARS-CoV-2 COVID-19 socioeconomic inequalities spatial clustering analysis cluster persistence transmission dynamics |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2020.626090/full |
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