-
Tytuł:
-
Urban Rail Transportation and SARS-Cov-2 Infections: An Ecological Study in the Lisbon Metropolitan Area.
-
Autorzy:
-
Severo M; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Ribeiro AI; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Lucas R; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Leão T; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Barros H; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
-
Źródło:
-
Frontiers in public health [Front Public Health] 2021 Feb 03; Vol. 9, pp. 611565. Date of Electronic Publication: 2021 Feb 03 (Print Publication: 2021).
-
Typ publikacji:
-
Journal Article
-
Język:
-
English
-
Imprint Name(s):
-
Original Publication: Lausanne : Frontiers Editorial Office
-
MeSH Terms:
-
Railroads*
COVID-19/*epidemiology
COVID-19/transmission ; Humans ; Portugal/epidemiology
-
References:
-
PLoS One. 2018 Dec 5;13(12):e0208320. (PMID: 30517185)
J Epidemiol Community Health. 2020 Aug;74(8):620-623. (PMID: 32385126)
Euro Surveill. 2020 Mar;25(9):. (PMID: 32156327)
Lancet Glob Health. 2020 Aug;8(8):e1018-e1026. (PMID: 32622400)
Geospat Health. 2017 Nov 07;12(2):581. (PMID: 29239558)
Open Forum Infect Dis. 2020 Sep 13;7(10):ofaa430. (PMID: 33123609)
Public Health. 2020 Jun;183:110-111. (PMID: 32502699)
Environ Health. 2020 Jan 21;19(1):8. (PMID: 31964412)
Environ Health. 2018 Dec 4;17(1):84. (PMID: 30514301)
MMWR Morb Mortal Wkly Rep. 2020 Sep 11;69(36):1258-1264. (PMID: 32915165)
Travel Med Infect Dis. 2020 Jan - Feb;33:101568. (PMID: 32006656)
Int J Infect Dis. 2020 Aug;97:197-201. (PMID: 32534143)
Transp Policy (Oxf). 2020 Aug;94:34-42. (PMID: 32501380)
J Transp Health. 2020 Mar;16:100853. (PMID: 32337154)
Lancet Infect Dis. 2020 May;20(5):527-529. (PMID: 32224312)
Sex Transm Dis. 2020 Apr;47(4):261-268. (PMID: 31876867)
Indian J Community Med. 2013 Jan;38(1):56-8. (PMID: 23559706)
Sci Total Environ. 2021 Apr 20;766:142607. (PMID: 33097247)
N Engl J Med. 2020 Apr 16;382(16):1564-1567. (PMID: 32182409)
Porto Biomed J. 2018 Jul 03;3(1):e16. (PMID: 31595237)
J Epidemiol Community Health. 2020 Sep;74(9):683-688. (PMID: 32503892)
BMJ Open. 2020 Sep 1;10(9):e039886. (PMID: 32873684)
Lancet Respir Med. 2020 Jul;8(7):659-661. (PMID: 32437646)
Int J Environ Res Public Health. 2020 May 29;17(11):. (PMID: 32485854)
J Public Trans. 2020 Jan;22(1):1-21. (PMID: 36118518)
Front Public Health. 2021 Feb 03;9:611565. (PMID: 33614581)
-
Contributed Indexing:
-
Keywords: SARS-CoV-2; coronavirus (2019-nCoV); disease transmission; transport policy; urban health
-
Entry Date(s):
-
Date Created: 20210222 Date Completed: 20210303 Latest Revision: 20231110
-
Update Code:
-
20240105
-
PubMed Central ID:
-
PMC7887317
-
DOI:
-
10.3389/fpubh.2021.611565
-
PMID:
-
33614581
-
Introduction: The large number of passengers, limited space and shared surfaces can transform public transportation into a hub of epidemic spread. This study was conducted to investigate whether proximity to railway stations, a proxy for utilization, was associated with higher rates of SARS-CoV-2 infection across small-areas of the Lisbon Metropolitan Area (Portugal). Methods: The number of SARS-CoV-2 confirmed infections from March 2 until July 5, 2020 at the parish-level was obtained from the National Epidemiological Surveillance System. A Geographic Information System was used to estimate proximity to railway stations of the six railway lines operating in the area. A quasi- Poisson generalized linear regression model was fitted to estimate the relative risks (RR) and corresponding 95% confidence intervals (95%CI). Results: Between May 2 and July 5, 2020, there were a total of 17,168 SARS-CoV-2 infections in the Lisbon Metropolitan Area, with wide disparities between parishes. Overall, parishes near any of the railway stations of the Sintra line presented significantly higher SARS-CoV-2 infection rates ( RR = 1.42, 95%CI 1.16, 1.75) compared to parishes located farther away from railway stations, while the opposite was observed for parishes near other railway stations ( Sado and Fertagus lines), where infection rates were significantly lower than those observed in parishes located farther away from railway stations ( RR = 0.66, 95%CI 0.50, 0.87). The associations varied according to the stage of the epidemic and to the mitigation measures enforced. Regression results also revealed an increasing influence of socioeconomic deprivation on SARS-CoV-2 infections. Conclusions: No consistent association between proximity to railway stations and SARS-CoV-2 infection rates in the most affected metropolitan area of Portugal was observed, suggesting that other factors (e.g., socioeconomic deprivation) may play a more prominent role in the epidemic dynamics.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2021 Severo, Ribeiro, Lucas, Leão and Barros.)
