Deadly places: The role of geography in Aboriginal and Torres Strait Islander COVID-19 vaccination.

OBJECTIVE: The objective of this study was to investigate the geospatial distribution of COVID-19 vaccination rates for Aboriginal and Torres Strait Islander Peoples across Local Government Areas in Australia. METHODS: We described the patterns of COVID-19 vaccination across jurisdictions, identified clusters with different levels of vaccination uptake, and assessed the relationship between contextual factors and vaccination (spatial error model, spatial lag model, and geographic weighted regression). RESULTS: The proportion of the Aboriginal and Torres Strait Islander population that received at least two doses of a COVID-19 vaccine by the last week of June 2022 ranged from 62.9% to 97.5% across Local Government Areas. The proportion of the overall population who is Aboriginal or Torres Strait Islander (ß = 0.280, standard deviation [SD] = 1.92), proportion of the total labour force employed (ß =0.286, SD = 0.98), and proportion of individuals who speak an Aboriginal or Torres Strait Islander language (ß =0.215, SD = 0.15) had, on average, the strongest effects on COVID-19 vaccination rates. CONCLUSION: Findings underscore the extent to which area-level demographic influence the COVID-19 vaccination for Aboriginal and Torres Strait Islander Australians. IMPLICATIONS FOR PUBLIC HEALTH: Findings can inform vaccination strategies that prioritise geographic areas with higher vulnerability to promote equity for Aboriginal and Torres Strait Islander Peoples.

The association between area-level factors and mortality in severe mental illnesses: A systematic review.

BACKGROUND: Premature mortality is a well-documented adverse outcome for people living with severe mental illnesses (SMI). Emerging evidence suggests that area-level factors play a role that are experienced disproportionately by this population. This review assesses the potential association between area-level factors and mortality in people with SMI. METHOD: We searched Medline, EMBASE, PsychINFO, Social Policy and Practice, Web of Science and OpenGrey databases. Literature searches were conducted in May 2020 and updated in June 2023. Reference lists were hand-searched and authors of included studies contacted to identify additional studies and minimise publication biases. Narrative synthesis was used to appraise the included studies. The review protocol was registered on PROSPERO (CRD42019155447). RESULTS: Our searches identified 7 studies (8 papers), which were included in the review, and indicated evidence of an association between deprivation and mortality. One study suggested an association between mortality in SMI and urbanicity in low to middle income settings which was not observed in studies from high income settings. One study suggested a protective association of area-level ethnic density with mortality within urbanised settings. CONCLUSION: Consistent associations were reported between residence in areas of higher deprivation and increased risk of mortality in SMI. Two studies suggested an association between area-level ethnic density and urbanicity and mortality in SMI. Most studies were conducted across high income countries and therefore future research could benefit from similar investigations being conducted in low- and middle-income countries. These methods would inform health and social policies, including interventions to reduce premature mortality in SMI.

Mortalidad por COVID-19: desigualdades educativas y contexto socio-espacial en dos provincias de Argentina / Mortality from COVID-19: educational inequalities and socio-spatial context in two provinces of Argentina

Con el objetivo de describir la asociación entre las características sociodemográficas y factores contex-tuales con la mortalidad por COVID-19, durante 2020-2021 en las provincias de Mendoza y San Juan en Argentina se realizó un estudio de tipo ecológico, donde los factores sociodemográficos fueron la edad, el sexo y el nivel educativo y contextuales la pobreza y la urbanización a nivel departamental. Los análisis se estimaron mediante modelos jerárquicos bayesianos binomial negativos.Existieron desigualdades edu-cacionales independientemente del contexto socioeconómico y el nivel de urbanización. La excepción fue el grupo etario de 65 a más años durante 2021 que, independientemente del nivel educativo, mostró un riesgo de muerte por COVID-19 mayor en departamentos con niveles altos de pobreza estructural. En conclusión, la desigualdad educativa es un indicador de desigualdad social que aumenta la vulnera-bilidad para la mortalidad por COVID-19.

Geographic Variation in Late-Stage Cervical Cancer Diagnosis.

Importance: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening. Objective: To identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas. Design, Setting, and Participants: This population-based cross-sectional study used incident cervical cancer data from the Texas Cancer Registry from 2014 to 2018 of female patients aged 18 years or older. Late-stage cervical cancer cases were geocoded at the census tract level (n = 5265) using their residential coordinates (latitude and longitude) at the time of diagnosis. Statistical analysis was performed from April to September 2023. Exposures: Census tract of residence at diagnosis. Main Outcome and Measures: Late-stage cervical cancer diagnosis (ie, cases classified by the National Cancer Institute Surveillance, Epidemiology and End Results summary stages 2 to 4 [regional spread] or 7 [distant metastasis]). A Poisson probability-based model of the SaTScan purely spatial scan statistics was applied at the census tract-level to identify geographic clusters of higher (hot spots) or lower (cold spots) proportions than expected of late-stage cervical cancer diagnosis and adjusted for age. Results: Among a total of 6484 female patients with incident cervical cancer cases (mean [SD] age, 48.7 [14.7] years), 2300 (35.5%) were Hispanic, 798 (12.3%) were non-Hispanic Black, 3090 (47.6%) were non-Hispanic White, and 296 (4.6%) were other race or ethnicity. Of the 6484 patients, 2892 with late-stage diagnosis (mean [SD] age, 51.8 [14.4] years were analyzed. Among patients with late-stage diagnosis, 1069 (37.0%) were Hispanic, 417 (14.4%) were non-Hispanic Black, 1307 (45.2%) were non-Hispanic White, and 99 (3.4%) were other race or ethnicity. SaTScan spatial analysis identified 7 statistically significant clusters of late-stage cervical cancer diagnosis in Texas, of which 4 were hot spots and 3 were cold spots. Hot spots included 1128 census tracts, predominantly in the South Texas Plains, Gulf Coast, and Prairies and Lakes (North Texas) regions. Of the 2892 patients with late-stage cervical cancer, 880 (30.4%) were observed within hot spots. Census tract-level comparison of characteristics of clusters suggested that hot spots differed significantly from cold spots and the rest of Texas by proportions of racial and ethnic groups, non-US born persons, and socioeconomic status. Conclusions and Relevance: In this cross-sectional study examining geospatial clusters of late-stage cervical cancer diagnosis, place-based disparities were found in late-stage cervical cancer diagnosis in Texas. These findings suggest that these communities may benefit from aggressive cervical cancer interventions.

Differences in Outcomes by Place of Origin among Hispanic Patients with Kidney Failure.

SIGNIFICANCE STATEMENT: Hispanic patients are known to have a higher risk of kidney failure and lower rates of home dialysis use and kidney transplantation than non-Hispanic White patients. However, it is unknown whether these outcomes differ within the Hispanic community, which is heterogeneous in its members' places of origins. Using United States Renal Data System data, the authors found similar adjusted rates of home dialysis use for patients originating from places outside the United States and US-born Hispanic patients, whereas the adjusted risk of mortality and likelihood of transplantation differed depending on place (country or territory) of origin. Understanding the heterogeneity in kidney disease outcomes and treatment within the Hispanic community is crucial in designing interventions and implementation strategies to ensure that Hispanic individuals with kidney failure have equitable access to care. BACKGROUND: Compared with non-Hispanic White groups, Hispanic individuals have a higher risk of kidney failure yet lower rates of living donor transplantation and home dialysis. However, how home dialysis, mortality, and transplantation vary within the Hispanic community depending on patients' place of origin is unclear. METHODS: We identified adult Hispanic patients from the United States Renal Data System who initiated dialysis in 2009-2017. Primary exposure was country or territory of origin (the United States, Mexico, US-Puerto Rico, and other countries). We used logistic regression to estimate differences in odds of initiating home dialysis and competing risk models to estimate subdistribution hazard ratios (SHR) of mortality and kidney transplantation. RESULTS: Of 137,039 patients, 44.4% were US-born, 30.9% were from Mexico, 12.9% were from US-Puerto Rico, and 11.8% were from other countries. Home dialysis rates were higher among US-born patients, but not significantly different after adjusting for demographic, medical, socioeconomic, and facility-level factors. Adjusted mortality risk was higher for individuals from US-Puerto Rico (SHR, 1.04; 95% confidence interval [CI], 1.01 to 1.08) and lower for Mexico (SHR, 0.80; 95% CI, 0.78 to 0.81) and other countries (SHR, 0.83; 95% CI, 0.81 to 0.86) compared with US-born patients. The adjusted rate of transplantation for Mexican or US-Puerto Rican patients was similar to that of US-born patients but higher for those from other countries (SHR, 1.22; 95% CI, 1.15 to 1.30). CONCLUSIONS: Hispanic people from different places of origin have similar adjusted rates of home dialysis but different adjusted rates of mortality and kidney transplantation. Further research is needed to understand the mechanisms underlying these observed differences in outcomes.

Receiving hemodialysis in Hispanic ethnic dense communities is associated with better adherence and outcomes among young patients: a retrospective analysis of the Dialysis Outcomes and Practice Patterns Study.

BACKGROUND: Hispanic ethnic density (HED) is a marker of better health outcomes among Hispanic patients with chronic disease. It is unclear whether community HED is associated with mortality risk among ethnically diverse patients receiving maintenance hemodialysis. METHODS: A retrospective analysis of patients in the United States cohort of the Dialysis Outcomes and Practice Patterns Study (DOPPS) database (2011-2015) was conducted (n = 4226). DOPPS data was linked to the American Community Survey database by dialysis facility zip code to obtain % Hispanic residents (HED). One way ANOVA and Kruskal Wallis tests were used to estimate the association between tertiles of HED with individual demographic, clinical and adherence characteristics, and facility and community attributes. Multivariable Cox proportional hazards models were used to estimate the mortality hazard ratio (HR) and 95% CIs by tertile of HED, stratified by age; a sandwich estimator was used to account for facility clustering. RESULTS: Patients dialyzing in facilities located in the highest HED tertile communities were younger (61.4 vs. 64.4 years), more commonly non-White (62.4% vs. 22.1%), had fewer comorbidities, longer dialysis vintage, and were more adherent to dialysis treatment, but had fewer minutes of dialysis prescribed than those in the lowest tertile. Dialyzing in the highest HED tertile was associated with lower hazard of mortality (HR, 0.86; 95% CI, 0.72-1.00), but this association attenuated with the addition of individual race/ethnicity (HR, 0.92; 95% CI, 0.78-1.09). In multivariable age-stratified analyses, those younger than 64 showed a lower hazard for mortality in the highest (vs. lowest) HED tertile (HR, 0.66; 95% CI, 0.49-0.90). Null associations were observed among patients ≥ 64 years. CONCLUSIONS: Treating in communities with greater HED and racial/ethnic integration was associated with lower mortality among younger patients which points to neighborhood context and social cohesion as potential drivers of improved survival outcomes for patients receiving hemodialysis.

Geographic differences in atopic dermatitis risk between urban and rural area: A systematic review and meta-analysis.

Atopic dermatitis is the most common chronic inflammatory skin disease affecting children. Some studies have reported a higher risk of atopic dermatitis in urban areas than in rural areas. We systematically reviewed and carried out a meta-analysis to investigate the differences in the development of atopic dermatitis between urban and rural areas. The search was performed on April 19, 2021, using Embase and MEDLINE databases. Eligible for inclusion were observational studies. Subgroup analyses were performed for age, publication year, and country. We identified 2,115 studies, and 43 studies with 1,728,855 subjects were finally included. Urban residency was associated with an increased risk of atopic dermatitis, with an odds ratio of 1.56 (95% confidence interval, 1.43-1.71). A significantly increased risk was observed only in children, with an odds ratio of 1.55 (95% confidence interval, 1.39-1.73), but not in adults, with an odds ratio of 1.29 (95% confidence interval, 0.99-1.67). The risk has increased in recent decades, with a higher risk in developing countries (odds ratio, 1.95) compared to developed countries (odds ratio, 1.35). Our study provides evidence of an association between atopic dermatitis and urban compared to rural living.

Practicing health geography in 2017 IMGS 2017 Editorial.

This commentary is an introduction the special issue of Social Science and medicine composed of pieces of work presented at the International Medical Geography Symposium (IMGS) held in Angers, France in July 2017. Every two years, the symposium brings together health geographers and others interested in applying a spatial approach to their research to share findings and form new ideas about the progress of this exciting sub-discipline. 279 delegates from 30 countries attended this symposium hosted only for the second time outside the Anglo-Canadian-American triangle.

Impacts of the choice of distance measurement method on estimates of access to point-based resources.

BACKGROUND/OBJECTIVE: Lack of access to resources such as medical facilities and grocery stores is related to poor health outcomes and inequities, particularly in an environmental justice framework. There can be substantial differences in quantifying "access" to such resources, depending on the geospatial method used to generate distance estimates. METHODS: We compared three methods for calculating distance to the nearest grocery store to illustrate differential access at the census block-group level in the Atlanta metropolitan area, including: Euclidean distance estimation, service areas incorporating roadways and other factors, and cost distance for every point on the map. RESULTS: We found notable differences in access across the three estimation techniques, implying a high potential for exposure misclassification by estimation method. There was a lack of nuanced exposure in the highest- and lowest-access areas using the Euclidean distance method. We found an Intraclass Correlation Coefficient (ICC) of 0.69 (0.65, 0.73), indicating moderate agreement between estimation methods. SIGNIFICANCE: As compared with Euclidean distance, service areas and cost distance may represent a more meaningful characterization of "access" to resources. Each method has tradeoffs in computational resources required versus potential improvement in exposure classification. Careful consideration of the method used for determining "access" will reduce subsequent misclassifications.

Strategies for knowledge exchange for action to address place-based determinants of health inequalities: an umbrella review.

BACKGROUND: Place-based health inequalities persist despite decades of academics and other stakeholders generating ideas and evidence on how to reduce them. This may in part reflect a failure in effective knowledge exchange (KE). We aim to understand what KE strategies are effective in supporting actions on place-based determinants and the barriers and facilitators to this KE. METHODS: An umbrella review was undertaken to identify relevant KE strategies. Systematic reviews were identified by searching academic databases (Medline, Embase, Scopus, Web of Science) and handsearching. Synthesis involved charting and thematic analysis. RESULTS: Fourteen systematic reviews were included comprising 105 unique, relevant studies. Four approaches to KE were identified: improving access to knowledge, collaborative approaches, participatory models and KE as part of advocacy. While barriers and facilitators were reported, KE approaches were rarely evaluated for their effectiveness. CONCLUSIONS: Based on these four approaches, our review produced a framework, which may support planning of future KE strategies. The findings also suggest the importance of attending to political context, including the ways in which this may impede a more upstream place-based focus in favour of behavioural interventions and the extent that researchers are willing to engage with politicized agendas.

A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping.

Spatial connectivity is an important consideration when modelling infectious disease data across a geographical region. Connectivity can arise for many reasons, including shared characteristics between regions and human or vector movement. Bayesian hierarchical models include structured random effects to account for spatial connectivity. However, conventional approaches require the spatial structure to be fully defined prior to model fitting. By applying penalized smoothing splines to coordinates, we create two-dimensional smooth surfaces describing the spatial structure of the data while making minimal assumptions about the structure. The result is a non-stationary surface which is setting specific. These surfaces can be incorporated into a hierarchical modelling framework and interpreted similarly to traditional random effects. Through simulation studies, we show that the splines can be applied to any symmetric continuous connectivity measure, including measures of human movement, and that the models can be extended to explore multiple sources of spatial structure in the data. Using Bayesian inference and simulation, the relative contribution of each spatial structure can be computed and used to generate hypotheses about the drivers of disease. These models were found to perform at least as well as existing modelling frameworks, while allowing for future extensions and multiple sources of spatial connectivity.

Geographical patterns of social cohesion drive disparities in early COVID infection hazard.

The uneven spread of COVID-19 has resulted in disparate experiences for marginalized populations in urban centers. Using computational models, we examine the effects of local cohesion on COVID-19 spread in social contact networks for the city of San Francisco, finding that more early COVID-19 infections occur in areas with strong local cohesion. This spatially correlated process tends to affect Black and Hispanic communities more than their non-Hispanic White counterparts. Local social cohesion thus acts as a potential source of hidden risk for COVID-19 infection.

Sociodemographic, geographic and clinical factors associated with functional outcome and discharge location in US inpatient rehabilitation settings.

OBJECTIVE: To assess the impact of sociodemographic factors, clinical factors and regional differences on both patients' functional outcome and discharge location in U.S. inpatient rehabilitation settings. METHODS: Using eRehabData, 536,453 admissions was used for functional outcome analyses (based on FIM gain) while 259,308 admissions was used for the discharge location analyses. Regression models were used to look at both outcomes. RESULTS: Having private insurance and being young and male was associated with the higher FIM gains while being African American, widowed, and living in the Midwest was associated with the lower FIM gains. Furthermore, having private insurance, being young, male, married and African American or Hispanic was associated with the lower odds of being discharged to a skilled nursing facility while living in the Midwest was associated with the greatest odds of being discharged to a skilled nursing facility. Clinical factors such as days from onset and length of stay also had a significant effect on both outcomes. CONCLUSION: Our findings suggest that, in the U.S., one of the challenges to successful recovery in the inpatient rehabilitation setting includes insurance status (Medicare/Medicaid), race (African American) but also regional differences (Midwest) and length of stay.

Spatiotemporal trends of the global burden of melanoma in 204 countries and territories from 1990 to 2019: Results from the 2019 global burden of disease study.

This study aimed to estimate the latest magnitudes and temporal trends of melanoma burden at the national, regional, and global levels. The data on melanoma incidence, deaths, and disability-adjusted life-years (DALYs) in 204 countries and territories between 1990 and 2019 came from the Global Burden of Disease 2019 Study. Estimated annual percentage change (EAPC) was calculated to depict the temporal trends and Spearman rank correlation was used to analyze the influential factors of EAPC. From 1990 to 2019, the incident cases of melanoma increased by 170% to 289,950, death increased by 90% to 62,840, and DALYs increased by 67% to 1,707,800 globally. The age-standardized incidence rate (ASIR) of melanoma increased globally by an average of 1.13 [95% confidence interval (CI): 0.93-1.32], while the age-standardized rates of death and DALYs both declined with the EAPC of -0.27 (95% CI: -0.36 to -0.19) and -0.49 (95% CI: -0.57 to -0.41). In 2019, the highest burden of melanoma was observed in Australasia, followed by high-income North America and Europe regions, which all presented an incremental growth in ASIR. The positive association between the EAPC in ASIR and socio-demographic index (SDI) in 2019 (ρ = 0.600, P < 0.001) suggested that countries with higher SDI have experienced a more rapid increase in ASIR of melanoma. In conclusion, the burden of melanoma is increasing globally but differed greatly across the world. Notably, the high burden areas are facing a continuing increase in incidence, which implies more targeted strategies should be taken for reducing the increasing melanoma burden.