{"title":"受新冠肺炎疫情和贫困影响的人群更易因新冠肺炎住院","authors":"J. Ramirez","doi":"10.18297/jri/vol5/iss1/16","DOIUrl":null,"url":null,"abstract":"Background: Lockdown measures to control COVID-19 have exacerbated the poverty epidemic. We hypothesized that the synergistic interaction of COVID-19 and poverty epidemics favors the development of more severe forms of COVID-19 in the population living in poverty. To test this hypothesis, we assessed whether an ecological association exists between the geographic distribution of hospitalized patients with SARS-CoV-2 pneumonia and markers of poverty in the city of Louisville, KY. Methods: Using the geomasked home addresses of hospitalized patients with SARS-CoV-2 pneumonia in the city of Louisville, a kernel density heatmap was created. Kuldorff’s spatial scan statistic was used to calculate areas of increased risk for SARS-CoV-2 pneumonia hospitalization. Heat maps were created for census tract–level demographics according to income, age, race, and ethnicity to assess whether an ecological association exists with the spatial distribution of SARSCoV-2 pneumonia hospitalization. Results: Four areas of increased risk of hospitalization due to SARS-CoV-2 pneumonia were identified in the western and central sections of the city, with relative risks (RRs) ranging from 2.3 (95% confidence interval (CI): 1.7–3.0) to 3.2 (95% CI: 2.1–5.0) (p<0.001 for each area). Most high-risk areas were associated with areas of the city with low-income populations and black and Hispanic communities but were not associated with areas of older adults. Conclusion: Residents from low-income areas are almost three times more likely to develop SARS-CoV-2 pneumonia requiring hospitalization. Current efforts to decrease the number of COVID-19 hospitalizations through vaccination of populations at risk should be concentrated in city areas with a low-income level population. ULJRI | https://ir.library.louisville.edu/jri/vol5/iss1/16 1 ULJRI The Syndemic of COVID-19 and Poverty","PeriodicalId":91979,"journal":{"name":"The University of Louisville journal of respiratory infections","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Population Affected by the Syndemic of COVID-19 and Poverty is More Likely to be Hospitalized with SARS-CoV-2 Pneumonia\",\"authors\":\"J. Ramirez\",\"doi\":\"10.18297/jri/vol5/iss1/16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Lockdown measures to control COVID-19 have exacerbated the poverty epidemic. We hypothesized that the synergistic interaction of COVID-19 and poverty epidemics favors the development of more severe forms of COVID-19 in the population living in poverty. To test this hypothesis, we assessed whether an ecological association exists between the geographic distribution of hospitalized patients with SARS-CoV-2 pneumonia and markers of poverty in the city of Louisville, KY. Methods: Using the geomasked home addresses of hospitalized patients with SARS-CoV-2 pneumonia in the city of Louisville, a kernel density heatmap was created. Kuldorff’s spatial scan statistic was used to calculate areas of increased risk for SARS-CoV-2 pneumonia hospitalization. Heat maps were created for census tract–level demographics according to income, age, race, and ethnicity to assess whether an ecological association exists with the spatial distribution of SARSCoV-2 pneumonia hospitalization. Results: Four areas of increased risk of hospitalization due to SARS-CoV-2 pneumonia were identified in the western and central sections of the city, with relative risks (RRs) ranging from 2.3 (95% confidence interval (CI): 1.7–3.0) to 3.2 (95% CI: 2.1–5.0) (p<0.001 for each area). Most high-risk areas were associated with areas of the city with low-income populations and black and Hispanic communities but were not associated with areas of older adults. Conclusion: Residents from low-income areas are almost three times more likely to develop SARS-CoV-2 pneumonia requiring hospitalization. Current efforts to decrease the number of COVID-19 hospitalizations through vaccination of populations at risk should be concentrated in city areas with a low-income level population. ULJRI | https://ir.library.louisville.edu/jri/vol5/iss1/16 1 ULJRI The Syndemic of COVID-19 and Poverty\",\"PeriodicalId\":91979,\"journal\":{\"name\":\"The University of Louisville journal of respiratory infections\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The University of Louisville journal of respiratory infections\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18297/jri/vol5/iss1/16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The University of Louisville journal of respiratory infections","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18297/jri/vol5/iss1/16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Population Affected by the Syndemic of COVID-19 and Poverty is More Likely to be Hospitalized with SARS-CoV-2 Pneumonia
Background: Lockdown measures to control COVID-19 have exacerbated the poverty epidemic. We hypothesized that the synergistic interaction of COVID-19 and poverty epidemics favors the development of more severe forms of COVID-19 in the population living in poverty. To test this hypothesis, we assessed whether an ecological association exists between the geographic distribution of hospitalized patients with SARS-CoV-2 pneumonia and markers of poverty in the city of Louisville, KY. Methods: Using the geomasked home addresses of hospitalized patients with SARS-CoV-2 pneumonia in the city of Louisville, a kernel density heatmap was created. Kuldorff’s spatial scan statistic was used to calculate areas of increased risk for SARS-CoV-2 pneumonia hospitalization. Heat maps were created for census tract–level demographics according to income, age, race, and ethnicity to assess whether an ecological association exists with the spatial distribution of SARSCoV-2 pneumonia hospitalization. Results: Four areas of increased risk of hospitalization due to SARS-CoV-2 pneumonia were identified in the western and central sections of the city, with relative risks (RRs) ranging from 2.3 (95% confidence interval (CI): 1.7–3.0) to 3.2 (95% CI: 2.1–5.0) (p<0.001 for each area). Most high-risk areas were associated with areas of the city with low-income populations and black and Hispanic communities but were not associated with areas of older adults. Conclusion: Residents from low-income areas are almost three times more likely to develop SARS-CoV-2 pneumonia requiring hospitalization. Current efforts to decrease the number of COVID-19 hospitalizations through vaccination of populations at risk should be concentrated in city areas with a low-income level population. ULJRI | https://ir.library.louisville.edu/jri/vol5/iss1/16 1 ULJRI The Syndemic of COVID-19 and Poverty