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dc.contributor.authorKjellesvig, Halvor
dc.contributor.authorAtique, Suleman
dc.contributor.authorBöcker, Lars
dc.contributor.authorAamodt, Geir
dc.date.accessioned2024-12-13T12:03:44Z
dc.date.available2024-12-13T12:03:44Z
dc.date.created2024-11-29T13:27:44Z
dc.date.issued2024
dc.identifier.citationSpatial and Spatio-temporal Epidemiology. 2024, 52 (Februar 2025), 1-11.
dc.identifier.issn1877-5845
dc.identifier.urihttps://hdl.handle.net/11250/3169639
dc.description.abstractBackground: Access to green spaces can provide opportunities for physical activities and social interactions in urban areas during times with strict social distancing. In particular COVID-19 transmission is reduced in ventilated areas. During several waves of the pandemic, this study explores the association between access to urban green spaces and COVID-19 transmission at the district level in Norway’s capital, Oslo. Methods: We used daily numbers of confirmed laboratory PCR tests on district levels reported from the second to the fifth wave of the COVID-19 pandemic, from October 15, 2020 to April 15, 2022 in Oslo. We included the population’s access to urban green spaces using two objective measurements: percentage of green area (%Ga) and vegetation cover (NDVI) using 300 and 1000 m buffers. The socio-demographic variables percentage of low-income population, average life expectancy and population density were also included. A Bayesian Susceptible–Infected–Removed (SIR) model was used to take advantage of the daily updated data on COVID-19 incidence and account for spatial and temporal dependencies in the statistical analysis. Results: We found that low income as well as population density were significantly associated with incidence of COVID-19, but for the second and third waves only. For the second wave, a one percent increase in the proportion with low income at district level increased the risk of COVID-19 by 7 % (95 % CI: 3 % - 11 %) We did not find associations between access to green space and incidence rate for any of the buffer sizes. The second and third waves were more governed by socio-demographic factors than the fourth and fifth wave. Conclusions: Incidence rate of COVID-19 was not associated with access to green space, but to the socio-demographic variables; income, population density, and life expectancy. Access to green space is equally distributed among districts in Oslo which may explain our findings.
dc.description.abstractAssociation between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach
dc.language.isoeng
dc.titleAssociation between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach
dc.title.alternativeAssociation between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-11
dc.source.volume52
dc.source.journalSpatial and Spatio-temporal Epidemiology
dc.source.issueFebruar 2025
dc.identifier.doi10.1016/j.sste.2024.100699
dc.identifier.cristin2325468
dc.relation.projectNorges forskningsråd: 316126
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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