The influence of weather and urban environment characteristics on upper respiratory tract infections: a systematic review DOI Creative Commons
Henna Hyrkäs-Palmu, Timo T. Hugg, Jouni J. K. Jaakkola

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Фев. 10, 2025

Background Weather can independently affect the occurrence of respiratory tract infections (RTIs) in urban areas. Built environments cities could further modify exposure to weather and consequently risk RTIs, but their combined effects on are not known. Objectives Our aim was synthesize evidence influence RTIs areas examine whether built associated with both RTIs. Methods A systematic search Scopus, PubMed, Web Science databases conducted 9th August 2022 following PRISMA guidelines. Studies were included review based predefined criteria by screening 5,789 articles reviewing reference lists relevant studies. The quality studies assessed using AXIS appraisal tool, results analyzed narrative synthesis. Results Twenty-one eligible focusing COVID-19 influenza transmissions, review. All register ecological design. Low temperature (11/19 studies) most often increased RTI. Humidity showed either negative (5/14 studies), positive (3/14 or no (6/14 relation association between wind solar radiation inconclusive. Population density positively (14/15 studies). Conclusions shows that low increases areas, where also high population infection risk. study highlights need assess relationship environment characteristics, weather,

Язык: Английский

Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany DOI Creative Commons
Dennis Schmiege, Timo Haselhoff, Salman Ahmed

и другие.

Journal of Urban Health, Год журнала: 2023, Номер 100(1), С. 40 - 50

Опубликована: Янв. 12, 2023

COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity people, which can be influenced by the built environment. Only few studies have analysed infections related to environment urban areas at a high resolution. This study examined association between factors and in metropolitan area Germany. Polymerase chain reaction (PCR)-confirmed 7866 citizens Essen March 2020 May 2021 were analysed, aggregated neighbourhood level. We performed regression analyses investigate associations cumulative number per 1000 inhabitants (cum. infections) up 31.05.2021 factors. cum. neighbourhoods (median: 11.5, IQR: 8.1-16.9) followed marked socially determined north-south gradient. effect estimates adjusted models showed negative with greenness, i.e. normalized difference vegetation index (NDVI) (adjusted β = - 35.36, 95% CI: 57.68; 13.04), rooms person (- 10.40, 13.79; 7.01), living space 0.51, 0.66; 0.36), residential 0.07, 0.16; 0.01) commercial 0.15, 0.25; 0.05). Residential multi-storey buildings 0.03, 0.12; 0.06) green (0.03, 0.05; 0.11) did not show substantial association. Our results suggest that matters for spread infections, such as more spacious apartments or higher levels greenness are associated lower infection rates unequal intra-urban distribution these emphasizes prevailing environmental inequalities regarding COVID-19 pandemic.

Язык: Английский

Процитировано

17

Neighborhood-level inequalities and influencing factors of COVID-19 incidence in Berlin based on Bayesian spatial modelling DOI Creative Commons
Sida Zhuang, Kathrin Wolf,

Tillman Schmitz

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105301 - 105301

Опубликована: Фев. 23, 2024

Numerous studies have explored influencing factors in COVID-19, yet empirical evidence on spatiotemporal dynamics of COVID-19 inequalities concerning both socioeconomic and environmental at an intra-urban scale is lacking. This study, therefore, focuses neighborhood-level spatial the incidences relation to for Berlin-Neukölln, Germany, covering six pandemic periods (March 2020 December 2021). Spatial Bayesian negative binomial mixed-effect models were employed identify risk patterns different periods. We identified that (1) relative risks varied across time space, with sociodemographic exerting a stronger influence over features; (2) as most predictors, population migrant backgrounds was positively associated, 65 negatively associated incidence; (3) certain neighborhoods consistently faced elevated incidence. study highlights potential structural health within communities, lower status higher incidence diverse Our findings indicate locally tailored interventions citizens are essential address foster more sustainable urban environment.

Язык: Английский

Процитировано

7

Green exercise, mental health symptoms, and state lockdown policies: A longitudinal study DOI Open Access
Abhery Das, Samantha Gailey

Journal of Environmental Psychology, Год журнала: 2022, Номер 82, С. 101848 - 101848

Опубликована: Июль 14, 2022

Язык: Английский

Процитировано

26

Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States DOI
Bin Jiang, Yuwen Yang, Long Chen

и другие.

Landscape and Urban Planning, Год журнала: 2022, Номер 228, С. 104583 - 104583

Опубликована: Сен. 20, 2022

Язык: Английский

Процитировано

21

Spatial and socioeconomic inequities in liveability in Australia’s 21 largest cities: Does city size matter? DOI Creative Commons
Billie Giles‐Corti, Tayebeh Saghapour, Gavin Turrell

и другие.

Health & Place, Год журнала: 2022, Номер 78, С. 102899 - 102899

Опубликована: Окт. 12, 2022

Spatial and area-level socioeconomic variation in urban liveability (access to social infrastructure, public transport, open space, healthy food choices, local employment, street connectivity, dwelling density, housing affordability) was examined mapped across 39,967 residential statistical areas Australia's metropolitan (n = 7) largest regional cities 14). Urban varied spatially, with inner-city more liveable than outer suburbs. Disadvantaged larger were less advantaged areas, but this pattern reversed smaller cities. Local data could inform policies redress inequities, including those designed avoid disadvantage being suburbanised as grow gentrify.

Язык: Английский

Процитировано

19

Forest features and mental health and wellbeing: A scoping review DOI

Helen Clark,

Jerome K. Vanclay, Eric Brymer

и другие.

Journal of Environmental Psychology, Год журнала: 2023, Номер 89, С. 102040 - 102040

Опубликована: Май 29, 2023

Язык: Английский

Процитировано

12

A city-level transport vision for 2050: Reimagined since COVID-19 DOI Open Access
Katherine Pawluk De-Toledo, Steve O’Hern, Sjaan Koppel

и другие.

Transport Policy, Год журнала: 2023, Номер 132, С. 144 - 153

Опубликована: Янв. 2, 2023

Язык: Английский

Процитировано

11

Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London DOI Creative Commons
Liang Ma, Daniel J. Graham, Marc Stettler

и другие.

Environmental Science & Technology, Год журнала: 2023, Номер 57(46), С. 18271 - 18281

Опубликована: Авг. 11, 2023

Activity changes during the COVID-19 lockdown present an opportunity to understand effects that prospective emission control and air quality management policies might have on reducing pollution. Using a regression discontinuity design for causal analysis, we show first UK national led unprecedented decreases in road traffic, by up 65%, yet incommensurate heterogeneous responses pollution London. At different locations, attributable ranged from -50% 0% nitrogen dioxide (NO2), +4% ozone (O3), -5% +0% particulate matter with aerodynamic diameter less than 10 μm (PM10), there was no response PM2.5. explainable machine learning interpret outputs of predictive model, degree which NO2 reduced area correlated spatial features (including freight traffic proximity major airport city center), existing inequalities exposure were exacerbated: reductions greater places more affluent residents better access public transport services.

Язык: Английский

Процитировано

11

Rural and urban disparities in cardiovascular disease-related mortality in the USA over 20 years; have the trends been reversed by COVID-19? DOI Creative Commons
Saisunder S. Chaganty, Dmitry Abramov, Harriette G.C. Van Spall

и другие.

International Journal of Cardiology Cardiovascular Risk and Prevention, Год журнала: 2023, Номер 19, С. 200202 - 200202

Опубликована: Авг. 30, 2023

Язык: Английский

Процитировано

11

Identifying spatiotemporal trends of SARS-CoV-2 RNA in wastewater: from the perspective of upstream and downstream wastewater-based epidemiology (WBE) DOI
Duyen Phuc-Hanh Tran, Bo-Cheng You, Chen‐Wuing Liu

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(8), С. 11576 - 11590

Опубликована: Янв. 14, 2024

Язык: Английский

Процитировано

4