Therapeutic landscapes, networks, and health and wellbeing during the COVID-19 pandemic: A mixed-methods study among female domestic workers.

The COVID-19 pandemic has had profound impacts on access to and use of therapeutic landscapes and networks, especially for people who are vulnerable due to economic, social, and work-related disadvantage. For one such vulnerable population, Indonesian female domestic workers (FDWs) in Hong Kong, this study employed a mixed methods approach to examine the associations between perceptions of therapeutic landscapes (TLs), therapeutic networks (TNs), subjective wellbeing, and self-rated health during the COVID-19 pandemic. Data from an online survey were analyzed via structural equation modeling (SEM) and confirmatory factor analysis (CFA) to investigate the direct and indirect associations between TLs, TNs, and health and wellbeing. The findings demonstrate little or no association among FDWs' perceptions of TLs and TNs and FDWs' self-rated health and subjective wellbeing, except for a negative total association between TL and subjective wellbeing. Using insights gleaned from thematic analysis of in-depth interviews with FDWs, we suggest that these unexpected findings are mainly due to restricted access to public places, reduced social gatherings, and the fact that employers rarely granted days off during the lockdown. Although processes at the employer and municipal scales limited FDWs' access to therapeutic places, increased use of digital communications and spaces provided an important source of social and emotional support during the pandemic.

Violent Crime, Physical Inactivity, and Obesity: Examining Spatial Relationships by Racial/Ethnic Composition of Community Residents.

Violence is a public health issue that disproportionately affects communities of color in urban centers. There is limited understanding of how violent crime is associated with adult physical inactivity and obesity prevalence given the racial/ethnic composition of community residents. This research aimed to address this gap by examining census tract-level data in Chicago, IL. Ecological data gathered from a variety of sources were analyzed in 2020. Violent crime rate represented the number of police-reported incidents of homicide, aggravated assault, and armed robbery per 1,000 residents. Spatial error and ordinary least square regression models were evaluated to determine if violent crime rate was significant associated with prevalence (%) of adult physical inactivity and obesity among all Chicago census tracts (N = 798), majority non-Hispanic (NH) White tracts (n = 240), majority NH Black tracts (n = 280), majority Hispanic tracts (n = 169), and racially diverse tracts (n = 109). Majority was defined as ≥ 50% representation. After adjusting for socioeconomic and environmental measures (e.g., median income, grocery store availability, walkability index), violent crime rate was associated with % physical inactivity and % obesity at the census tract level in Chicago, IL (both p < 0.001). Associations were statistically significant among majority NH Black and Hispanic tracts, but not majority NH White and racially diverse tracts. Future studies should evaluate the structural drivers of violence and the influence these drivers have on adult physical inactivity and obesity risk, particularly in communities of color.

County-level associations between food retailer availability and violent crime rate.

BACKGROUND: Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies have linked the availability and density of specific features of the retail food environment, such as convenience stores and liquor stores, to violent crime rates due to the criminal activity that often occurs in and near these retailers. Nevertheless, there continues to be limited understanding of how other features (e.g., grocery stores, supercenters, restaurants, etc.) are associated with violent crime occurrence. This study aimed to fill this gap in knowledge by examining U.S. county-level associations between food retailer availability and violent crime rate. METHODS: We analyzed 2014 data on 3108 counties from the U.S. Department of Agriculture's Food Environment Atlas and Department of Justice's Unified Crime Reporting Program. Per capita food retailer measures represented the number of stores per 10,000 county residents. Violent crime rate represented the number of police reported violent crimes per 10,000 county residents. We used spatial lag regression models to assess associations between per capita retailer availability and violent crime rate after adjusting for potential confounders (e.g., % under 18, % Black, % Hispanic, % poverty, population density, etc.). In addition, we examined stratified OLS regression models to evaluate associations by metropolitan county status. RESULTS: Adjusted spatial regression models revealed that greater supercenter availability [ß: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [ß: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. Greater availability of farmers' markets [ß: -0.42; 95% CI: -0.77 - - 0.07); p-value: 0.02] was associated with lower violent crime rate. Associations varied between metropolitan and non-metropolitan counties. Stratified OLS models revealed that greater grocery store availability was associated with lower violent crime rate among metropolitan counties only. Greater fast food restaurant availability was associated with lower violent crime rate among non-metropolitan counties only. CONCLUSIONS: Certain features of the retail food environment appear to be associated with county-level violent crime rates in America. These findings highlight the need for additional research on the influence of food retail and food landscape on violent crime occurrence at the community level.

Community-Level Factors Associated With Geographic Access to Food Retailers Offering Nutrition Incentives in Chicago, Illinois.

INTRODUCTION: Nutrition incentive programs provide low-income populations with a monetary resource to make healthy foods affordable and accessible. This study aimed to use geospatial analysis to evaluate availability of the Link Match nutrition incentive program in Chicago, Illinois, to determine whether underresourced communities have access. METHODS: We obtained 2018 spatial data on census tract-level sociodemographic characteristics in Chicago. Fifty-seven retailers (eg, farmers markets, food cooperatives) offered Link Match across the city's 801 census tracts. We examined ordinary least squares and spatial lag regression models to identify census tract-level variables associated with distance (in miles) from the nearest Link Match retailer. Variables of interest included percentage of non-Hispanic Black residents, percentage of Hispanic residents, median household income, violent crime rate, per capita grocery store availability, and walkability. RESULTS: Most Link Match retailers were located on Chicago's South and West sides. Ordinary least squares regression models indicated that low-income census tracts were on average closer to a Link Match retailer than higher-income tracts were (P < .001). Tracts in the highest quartile of violent crime were also significantly closer to a Link Match retailer than tracts in the lowest quartile (P < .001). After accounting for spatial dependency of census tracts, only violent crime rate was significantly associated with distance to nearest Link Match retailer. CONCLUSION: Link Match retailers in Chicago appear to be in underresourced communities. However, these areas have high violent crime rates, which may negatively influence program use. Additional research is needed on how social and environmental factors influence availability and use of nutrition incentive programs.

Spatial and socioeconomic inequalities in the availability of community health centres in the Jakarta region, Indonesia.

In the late 1960s, Indonesia established community health centres (CHCs) throughout the country to provide basic healthcare services for the poor. However, CHC expenditures and investments vary widely at the sub-provincial level, among administrative areas known as cities and regencies, raising concern that facilities and services do not correspond to population needs. This study aimed to examine spatial and socioeconomic inequalities in the availability of CHCs in the Jakarta region. We used spatial and statistical analysis methods at the village level to investigate these inequalities based on CHC data from the Ministry of Health and socioeconomic data from Indonesia Statistics. Results show that CHCs and the healthcare workers within them are unevenly distributed. In areas with high need, the availability of CHCs and healthcare workers were found to be low. There is a mismatch in healthcare services and delivery for low-income, unemployed populations at the village level that needs to be addressed. The findings discussed in this paper suggest that Jakarta Department of Health should coordinate with local public health districts to determine locations for new CHCs and assign healthcare workers to each CHC based on need as this would improve access to essential health services for the low-income population.

Impact of Unexplored Data Sources on the Historical Distribution of Three Vector Tick Species in Illinois.

We updated the Illinois historical (1905-December 2017) distribution and status (not reported, reported or established) maps for Amblyomma americanum (L.) (Acari: Ixodidae), Dermacentor variabilis (Say) (Acari: Ixodidae), and Ixodes scapularis (Say) (Acari: Ixodidae) by compiling publicly available, previously unexplored or newly identified published and unpublished data (untapped data). Primary data sources offered specific tick-level information, followed by secondary and tertiary data sources. For A. americanum, D. variabilis, and I. scapularis, primary data contributed to 90% (4,045/4,482), 80% (2,124/2,640), and 32% (3,490/10,898) tick records vs 10%, 20%, and 68%, respectively from secondary data; primary data updated status in 95% (62/65), 94% (51/54) and in 90% (9/10) of the updated counties for each of these tick species; by 1985 there were tick records in 6%, 68%, and 0% of the counties, compared to 20%, 72%, and 58% by 2004, and 77%, 96%, and 75% of the counties by 2017, respectively for A. americanum, D. variabilis, and I. scapularis. We document the loss of tick records due to unidentified, not cataloged tick collections, unidentified ticks in tick collections, unpublished data or manuscripts without specific county location, and tick-level information, to determine distribution and status. In light of the increase in tick-borne illnesses, updates in historical distributions and status maps help researchers and health officials to identify risk areas for a tick encounter and suggest targeted areas for public outreach and surveillance efforts for ticks and tick-borne diseases. There is a need for a systematic, national vector surveillance program to support research and public health responses to tick expansions and tick-borne diseases.