지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Objectives: The aim of this study was to assess how different social determinants of health (SDoH) may be related to variability in coronavirus disease 2019 (COVID-19) rates in cities and towns in Massachusetts (MA). Methods: Data about the total number of cases, tests, and rates of COVID-19 as of June 10, 2020 were obtained for cities and towns in MA. The data on COVID-19 were matched with data on various SDoH variables at the city and town level from the American Community Survey. These variables included information about income, poverty, employment, renting, and insurance coverage. We compared COVID-19 rates according to these SDoH variables. Results: There were clear gradients in the rates of COVID-19 according to SDoH variables. Communities with more poverty, lower income, lower insurance coverage, more unemployment, and a higher percentage of the workforce employed in essential services, including healthcare, had higher rates of COVID-19. Most of these differences were not accounted for by different rates of testing in these cities and towns. Conclusions: SDoH variables may explain some of the variability in the risk of COVID-19 across cities and towns in MA. Data about SDoH should be part of the standard surveillance for COVID-19. Efforts should be made to address social factors that may be putting communities at an elevated risk.
목차
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참고문헌 (27)
참고문헌 신청
CDC COVID-19 Response Team / 2020 / Geographic differences in COVID-19 cases, deaths, and incidence - United States, February 12-April 7, 2020 / MMWR Morb Mortal Wkly Rep 69(15):465~471
Garg S / 2020 / Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019 - COVID-NET, 14 States, March 1-30, 2020 / MMWR Morb Mortal Wkly Rep 69(15):458~464
NYC Health / Age-adjusted rates of lab confirmed COVID-19 nonhospitalized cases, estimated non-fatal hospitalized cases, and patients known to have died 100 000 by race/ethnicity group as of April 16, 2020
Wu Z / 2020 / Characteristics of and important lessons from the coronavirus disease 2019(COVID-19)outbreak in China : summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention / JAMA 323(13):1239~1242
Hawkins D / 2020 / Differential occupational risk for COVID-19 and other infection exposure according to race and ethnicity / Am J Ind Med
Garg S / 2020 / Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019 - COVID-NET, 14 States, March 1-30, 2020 / MMWR Morb Mortal Wkly Rep 69(15):458~464
NYC Health / Age-adjusted rates of lab confirmed COVID-19 nonhospitalized cases, estimated non-fatal hospitalized cases, and patients known to have died 100 000 by race/ethnicity group as of April 16, 2020
Wu Z / 2020 / Characteristics of and important lessons from the coronavirus disease 2019(COVID-19)outbreak in China : summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention / JAMA 323(13):1239~1242
Hawkins D / 2020 / Differential occupational risk for COVID-19 and other infection exposure according to race and ethnicity / Am J Ind Med
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