dc.contributor.author | Kjellesvig, Halvor | |
dc.contributor.author | Atique, Suleman | |
dc.contributor.author | Böcker, Lars | |
dc.contributor.author | Aamodt, Geir | |
dc.date.accessioned | 2024-12-13T12:03:44Z | |
dc.date.available | 2024-12-13T12:03:44Z | |
dc.date.created | 2024-11-29T13:27:44Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Spatial and Spatio-temporal Epidemiology. 2024, 52 (Februar 2025), 1-11. | |
dc.identifier.issn | 1877-5845 | |
dc.identifier.uri | https://hdl.handle.net/11250/3169639 | |
dc.description.abstract | Background: 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.abstract | Association between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach | |
dc.language.iso | eng | |
dc.title | Association between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach | |
dc.title.alternative | Association between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 1-11 | |
dc.source.volume | 52 | |
dc.source.journal | Spatial and Spatio-temporal Epidemiology | |
dc.source.issue | Februar 2025 | |
dc.identifier.doi | 10.1016/j.sste.2024.100699 | |
dc.identifier.cristin | 2325468 | |
dc.relation.project | Norges forskningsråd: 316126 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |