Detecting thresholds in the health impact of the urban built environment DOI

Wenyao Sun,

Lan Wang, Arthi Rao

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 171, P. 103399 - 103399

Published: Aug. 29, 2024

Language: Английский

Risk of mortality and disease attributable to the heat stress index and its variability during heat waves: an observational study on the city of Madrid DOI Creative Commons

Mónica Puga-Bonilla,

David Hidalgo García, Hamed Rezapouraghdam

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 121, P. 106189 - 106189

Published: Feb. 2, 2025

Language: Английский

Citations

2

Spatial inequities in greenspace: a spatial durbin model analyzing socio-demographic factors, heat risk, and neighborhood effects DOI
Margaret M. Sugg, Sophia C. Ryan,

Heather A. Rankins

et al.

GeoJournal, Journal Year: 2025, Volume and Issue: 90(2)

Published: April 9, 2025

Language: Английский

Citations

0

Mapping the distribution of pedestrian exposure to air pollution on urban road segments based on mobile monitoring and street view images DOI
Xujing Yu, Jun Ma

Applied Geography, Journal Year: 2025, Volume and Issue: 179, P. 103644 - 103644

Published: April 30, 2025

Language: Английский

Citations

0

Public health impacts of air pollution from the spatiotemporal heterogeneity perspective: 31 provinces and municipalities in China from 2013 to 2020 DOI Creative Commons

Yizhong Ye,

Qunshan Tao,

Hua Wei

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 2, 2024

Air pollution has long been a significant environmental health issue. Previous studies have employed diverse methodologies to investigate the impacts of air on public health, yet few thoroughly examined its spatiotemporal heterogeneity. Based this, this study investigated heterogeneity in 31 provinces China from 2013 2020 based theoretical framework multifactorial decision-making and combined with spatial durbin model geographically temporally weighted regression model. The findings indicate that: (1) as measured by incidence respiratory diseases (IRD) exhibit positive correlation local aggregation. (2) demonstrates noteworthy spillover effects. After controlling for economic development living environment factors, including disposable income, population density, urbanization rate, direct indirect IRD are at 3.552 2.848, correspondingly. (3) China's is primarily influenced various factors such pollution, development, conditions, healthcare, degree influence an uneven distribution trend. hold considerable practical significance mitigating safeguarding health.

Language: Английский

Citations

3

The effect of air pollution quality on lung cancer rates in middle-income and high-income countries: a panel data analysis approach DOI Creative Commons

Mehmet Gozlu,

Osman ŞENOL, Ümit ÇIRAKLI

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 21, 2024

Background Air pollution is one of the biggest problems in societies today. The intensity indoor and outdoor air pollutants urbanization rate can cause or trigger many different diseases, especially lung cancer. In this context, study's aim to reveal effects pollutants, on cancer cases. Methods Panel data analysis method applied study. research includes period between 1990 2019 as a time series type variables annual. dependent variable model cases per 100,000 people. independent are level pollution, environment countries. Results modeling developed for country group, it seen that with highest effect level. Conclusions parallel development countries, has been determined increase industrial production wastes, other words, worsening quality, may potentially an Indoor quality also essential human health; negative changes negatively impact individuals' health,

Language: Английский

Citations

1

A dynamic assessment of greenspace exposure from a time and age perspective: comparing lockdown and non-lockdown periods DOI Creative Commons

Xiaoxu Yin,

Yimeng Song, Lijun Zhang

et al.

Ecosystem Health and Sustainability, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Urban greenspace has a profound impact on public health by purifying the air, blocking bacteria, and creating activity venues. Due to people’s different position, exposure age groups changes at various times. In this study, we combined NDVI (normalized difference vegetation index) GVI (green view green indices with mobile signaling big data evaluate of 3 in Shanghai A dynamic assessment model for been adopted study. April 2021 2022 were selected as study periods, representing non-lockdown period lockdown period, respectively. The results indicate that slightly during period. During lockdown, 31 50, 51, above was higher than non-lockdown. However, people aged 0 30 is lower 51 other group. Whether it under or not, from 8:00 17:00, showed value hours. fluctuates steadily 6:00 24:00. This enriches evaluation dimensions urban exposure.

Language: Английский

Citations

0

Detecting thresholds in the health impact of the urban built environment DOI

Wenyao Sun,

Lan Wang, Arthi Rao

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 171, P. 103399 - 103399

Published: Aug. 29, 2024

Language: Английский

Citations

0