Erin N Biggs1, Patrick M Maloney2, Ariane L Rung1, Edward S Peters1, William T Robinson3,4. 1. Epidemiology Program, Louisiana State University Health Sciences Center School of Public Health, New Orleans, LA, United States. 2. Division of Global HIV/TB, Centers for Disease Control and Prevention, Epidemiology and Surveillance Branch, Atlanta, GA, United States. 3. Behavioral and Community Health Sciences, Louisiana State University Health Sciences Center School of Public Health, New Orleans, LA, United States. 4. STD/HIV Program, Louisiana Office of Public Health, New Orleans, LA, United Sates.
Abstract
Objective: To examine the association between the Centers for Disease Control and Prevention (CDC)'s Social Vulnerability Index (SVI) and COVID-19 incidence among Louisiana census tracts. Methods: An ecological study comparing the CDC SVI and census tract-level COVID-19 case counts was conducted. Choropleth maps were used to identify census tracts with high levels of both social vulnerability and COVID-19 incidence. Negative binomial regression with random intercepts was used to compare the relationship between overall CDC SVI percentile and its four sub-themes and COVID-19 incidence, adjusting for population density. Results: In a crude stratified analysis, all four CDC SVI sub-themes were significantly associated with COVID-19 incidence. Census tracts with higher levels of social vulnerability were associated with higher COVID-19 incidence after adjusting for population density (adjusted RR: 1.52, 95% CI: 1.41-1.65). Conclusions: The results of this study indicate that increased social vulnerability is linked with COVID-19 incidence. Additional resources should be allocated to areas of increased social disadvantage to reduce the incidence of COVID-19 in vulnerable populations.
Objective: To examine the association between the Centers for Disease Control and Prevention (CDC)'s Social Vulnerability Index (SVI) and COVID-19 incidence among Louisiana census tracts. Methods: An ecological study comparing the CDC SVI and census tract-level COVID-19 case counts was conducted. Choropleth maps were used to identify census tracts with high levels of both social vulnerability and COVID-19 incidence. Negative binomial regression with random intercepts was used to compare the relationship between overall CDC SVI percentile and its four sub-themes and COVID-19 incidence, adjusting for population density. Results: In a crude stratified analysis, all four CDC SVI sub-themes were significantly associated with COVID-19 incidence. Census tracts with higher levels of social vulnerability were associated with higher COVID-19 incidence after adjusting for population density (adjusted RR: 1.52, 95% CI: 1.41-1.65). Conclusions: The results of this study indicate that increased social vulnerability is linked with COVID-19 incidence. Additional resources should be allocated to areas of increased social disadvantage to reduce the incidence of COVID-19 in vulnerable populations.
Authors: Gabriela R Oates; Lucia D Juarez; Ronald Horswell; San Chu; Lucio Miele; Mona N Fouad; William A Curry; Daniel Fort; William B Hillegass; Denise M Danos Journal: J Community Health Date: 2021-05-09
Authors: Carlos Dornels Freire de Souza; Michael Ferreira Machado; Adeilton Gonçalves da Silva Junior; Bruno Eduardo Bastos Rolim Nunes; Rodrigo Feliciano do Carmo Journal: J Transp Health Date: 2021-04-12
Authors: Guillermo A Tortolero; Marcia de Oliveira Otto; Ryan Ramphul; Jose-Miguel Yamal; Alison Rector; Michael Brown; Melissa F Peskin; Dania Mofleh; Eric Boerwinkle Journal: Front Public Health Date: 2022-01-05