Integrated analysis of doubly disadvantaged neighborhoods by considering both green space and blue space accessibility and COVID-19 infection risk

Assessing the impact of socioeconomic and environmental factors on mental health during the COVID-19 pandemic based on GPS-enabled mobile sensing and survey data

This study examines the impact of individual socioeconomic factors, living environment factors (e.g., housing conditions), and environmental exposures (e.g., greenspace) on people's mental health during the COVID-19 pandemic in Hong Kong. We measured the environmental exposures to greenspace, noise and air pollution using GPS tracking and mobile sensing data collected from survey participants, in addition to obtaining socioeconomic and living environment data from them using conventional survey questionnaires. We used an ordinal logistic regression model to determine the socioeconomic and environmental factors that are significantly associated with mental health outcomes. The results show that increased greenspace exposure is associated with a higher likelihood of better mental health outcomes, while both lower income level and home ownership with a mortgage are linked to lower odds of better mental health outcomes during the COVID-19 pandemic in Hong Kong. This research contributes to the existing literature by identifying the specific socioeconomic and environmental factors that significantly affect mental health outcomes during the COVID-19 pandemic.

The spatial heterogeneity of urban green space distribution and configuration in Lilongwe City, Malawi

Urban green spaces provide several benefits related to the quality of urban life. The existence and spatial arrangement of these spaces within neighbourhoods and functional land uses have significant implications for the well-being of urban dwellers. Previous studies on green spaces in urban areas of Malawi have focused on a broader and macro-level perspective, offering insightful information on general trends in different cities. However, there is a significant research shortage in localised understanding, which requires carrying out micro-level assessments concentrating on land use zones and neighbourhoods within these cities. In this study, we used remote sensing data and landscape metrics to understand the distribution and configuration of urban green spaces in the city's neighbourhoods and functional land uses and their relationship with urban form. The study revealed that 20% of neighbourhoods fail to meet the WHO-recommended standard of 9 m2 of green space per person, with a predominant concentration of these undersupplied areas in high-density and quasi-residential zones. In addition, 56.2% of Lilongwe City's total green area was contained under functional land uses. Particularly, high-rise residential, medium-density residential, low-density residential, quasi-residential, high-rise flat area, commercial class, high-rise commercial, heavy industry, light industry, and government land use zones contained 17.3%, 12.0%, 22.2%, 12.0%, 4.1%, 6.4%, 6.1%, 5.0%, 1.6%, and 13.3% of the total green spaces in functional land uses, respectively. Importantly, this research found significant correlations between urban form metrics, namely building coverage, building density, building perimeter area ratio, road density, and the distribution and configuration of urban green spaces. This necessitates an integrated approach to urban planning and design, emphasising the importance of balancing development with green space preservation.

A systematic review of the relationship between natural environments and physiological and mental health during different stages of the COVID-19 pandemic

COVID-19 has altered how individuals interact with natural environments. Numerous studies have investigated the effects of such environments on health. However, how natural environments influenced individuals' physiological and mental health during various stages of the COVID-19 pandemic remains unclear. Therefore, we conducted this study to investigate the effects of natural environments on individuals' physiological and mental health during different stages of the pandemic; we also identified factors that mediated these effects. Overall, we evaluated the importance of natural environments during challenging times. This study adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. The pandemic period was divided into three stages on the basis of severity: pandemic (March 2020 - February 2022), easing (February 2022-September 2022), and post-acute COVID pandemic (September 2022 - present). An initial pool of 3018 studies was narrowed down to a final sample of 73 studies. During the pandemic stage, individuals frequenting public green spaces exhibited improved well-being, reduced stress levels, and a sense of nature deprivation. Private green spaces played crucial roles in maintaining health during the pandemic stage. Highquality window views were associated with improved well-being and reduced depression. During the easing stage, the environmental quality of public green spaces influenced individuals' perceived safety and sense of belonging. And coastal areas were the preferred natural destinations in this stage. During the post-acute COVID pandemic stage, individuals acknowledged the importance of natural environments in maintaining physiological and mental health as they gradually returned to prepandemic normalcy. In conclusion, the COVID-19 pandemic highlighted humanity's reliance on nature. Therefore, sufficient urban spaces should be dedicated to preservation of natural environments to mitigate negative emotions arising from prolonged indoor stays.

The interplay among individuals' distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people's daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals' anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents' self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants' anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants' mental distress. We also found that NPIs and COVID-19 were associated with people's perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people's mental health in the future.

The neighborhood built environment and COVID-19 hospitalizations

Research on the associations between the built environment and COVID-19 outcomes has mostly focused on incidence and mortality. Also, few studies on the built environment and COVID-19 have controlled for individual-level characteristics across large samples. In this study, we examine whether neighborhood built environment characteristics are associated with hospitalization in a cohort of 18,042 individuals who tested positive for SARS-CoV-2 between May and December 2020 in the Denver metropolitan area, USA. We use Poisson models with robust standard errors that control for spatial dependence and several individual-level demographic characteristics and comorbidity conditions. In multivariate models, we find that among individuals with SARS-CoV-2 infection, those living in multi-family housing units and/or in places with higher particulate matter (PM2.5) have a higher incident rate ratio (IRR) of hospitalization. We also find that higher walkability, higher bikeability, and lower public transit access are linked to a lower IRR of hospitalization. In multivariate models, we did not find associations between green space measures and the IRR of hospitalization. Results for non-Hispanic white and Latinx individuals highlight substantial differences: higher PM2.5 levels have stronger positive associations with the IRR of hospitalization for Latinx individuals, and density and overcrowding show stronger associations for non-Hispanic white individuals. Our results show that the neighborhood built environment might pose an independent risk for COVID-19 hospitalization. Our results may inform public health and urban planning initiatives to lower the risk of hospitalization linked to COVID-19 and other respiratory pathogens.