التفاصيل البيبلوغرافية
| العنوان: |
Evolution of inequalities in the coronavirus pandemics in Portugal: an ecological study. |
| المؤلفون: |
Alves, Joana1,2,3 joana.alves@ensp.unl.pt, Soares, Patrícia1,2,3, Rocha, João Victor1,2,3, Santana, Rui1,2,3, Nunes, Carla1,2,3 |
| المصدر: |
European Journal of Public Health. Oct2021, Vol. 31 Issue 5, p1069-1075. 7p. |
| مصطلحات موضوعية: |
*HEALTH services accessibility, *CONFIDENCE intervals, *TIME, *ECOLOGICAL research, *POPULATION geography, *SOCIOECONOMIC factors, *PRE-tests & post-tests, *DESCRIPTIVE statistics, *DISEASE prevalence, *HEALTH equity, *LOGISTIC regression analysis, *ODDS ratio, *COVID-19 pandemic |
| مصطلحات جغرافية: |
PORTUGAL |
| مستخلص: |
Background Previous literature shows systematic differences in health according to socioeconomic status (SES). However, there is no clear evidence that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection might be different across SES in Portugal. This work identifies the coronavirus disease 2019 (COVID-19) worst-affected municipalities at four different time points in Portugal measured by prevalence of cases, and seeks to determine if these worst-affected areas are associated with SES. Methods The worst-affected areas were defined using the spatial scan statistic for the cumulative number of cases per municipality. The likelihood of being in a worst-affected area was then modelled using logistic regressions, as a function of area-based SES and health services supply. The analyses were repeated at four different time points of the COVID-19 pandemic: 1 April, 1 May, 1 June, and 1 July, corresponding to two moments before and during the confinement period and two moments thereafter. Results Twenty municipalities were identified as worst-affected areas in all four time points, most in the coastal area in the Northern part of the country. The areas of lower unemployment were less likely to be a worst-affected area on the 1 April [adjusted odds ratio (AOR) = 0.36 (0.14–0.91)], 1 May [AOR = 0.03 (0.00–0.41)] and 1 July [AOR = 0.40 (0.16–1.05)]. Conclusion This study shows a relationship between being in a worst-affected area and unemployment. Governments and public health authorities should formulate measures and be prepared to protect the most vulnerable groups. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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