'Unmasking' masked address data: A medoid geocoding solution.

In recent years, there has been a consistent push for more open data initiatives, particularly for datasets collected by public agencies or groups that receive public funding. However, there is a tension between the release of open data and the preservation of individual and household privacy, whose balance shifts due to increased data availability, the sophistication of analysis techniques, and the computational power available to users. As a result, data masking is a standard tool used to preserve privacy. This is a process in which the data publishers obfuscate some identifying features in the dataset while attempting to maintain as much accuracy and precision as possible. For spatial datasets, the geocoding of administratively-masked data has been a consistent problem. Here, we present a medoid-based technique that geocodes masked data while minimizing the spatial uncertainty associated with the masking approach. Unfortunately, many commercial geocoding software packages either fail to geocode administratively-masked data or provide false positives by assigning points to city or street centroids. We demonstrate the results of our medoid-based geocoding approach by comparing it to commercial geocoding software. The results suggest that a medoid geocoding approach is mechanically simple to deploy and maximizes the spatial accuracy of the resulting geocodes.•Administratively-masked data are difficult to geocode•A medoid geocoding method maximizes geocoding accuracy•This method outperforms commercial geocoding software.

Exploring the invisible water insecurity of water utility shutoffs in Detroit, Michigan.

A lack of regular access to clean and safe water and sanitation is a persistent problem in many parts of the world. Most water insecurity studies focus on the world's less-industrialized and lower-income countries, where sanitation and water delivery infrastructure may never have existed. However, many individuals in higher-income countries experience invisible water insecurity, wherein specific households or individuals lack access to sanitation and clean water despite the relative wealth of their country. In the United States, invisible water insecurity tends to manifest as a result of homelessness, a lack of plumbing facilities, and water utility shut-offs. Using a water shut-off dataset from the Detroit Water and Sewerage Department, we investigate the relationship between a suite of demographic variables and the water shut-off rates in different neighborhoods throughout Detroit, Michigan. We find that shut-offs are more common in areas with more Black households that are more impoverished. Our findings indicate that this relationship links to structural disadvantage resulting from a legacy of racism and segregation in the city.

Breastfeeding, Community Vulnerability, Resilience, and Disasters: A Snapshot of the United States Gulf Coast.

Climate change-induced disasters are increasing in intensity and frequency in the United States. Infant feeding in the aftermath of an extreme event is particularly challenging, especially given large variations in community vulnerability and resilience. The aim of this study was to identify the physical, social, and spatial vulnerabilities of communities along the Gulf Coast and highlight locations where high (or low) breastfeeding initiation rates have the potential to offset (or exacerbate) infant feeding challenges in the wake of a disaster. We structured this study as a retrospective, spatial data analysis of breastfeeding initiation, the risk for extreme events, social vulnerability, and community resilience to uncover locations that may need post-disaster intervention. The results suggested that significant gaps in the geographic distribution of community risk, vulnerability, resilience, and breastfeeding initiation existed. While many metropolitan areas benefitted from high breastfeeding initiation rates, they were also the most "at risk" for disasters. Conversely, many rural communities faced less risk for extreme events but exhibited more social vulnerability and less resilience should a disaster strike. Prioritizing emergency response resources to support infant feeding after a disaster is critically important, but urban and rural communities have divergent profiles that will require variable strategies to ensure recovery. Our results highlight this variability and provide prescriptive guidance regarding where to potentially allocate emergency resources.

A study of SARS-COV-2 outbreaks in US federal prisons: the linkage between staff, incarcerated populations, and community transmission.

BACKGROUND: Since the novel coronavirus SARS-COV-2 was first identified to be circulating in the US on January 20, 2020, some of the worst outbreaks have occurred within state and federal prisons. The vulnerability of incarcerated populations, and the additional threats posed to the health of prison staff and the people they contact in surrounding communities underline the need to better understand the dynamics of transmission in the inter-linked incarcerated population/staff/community sub-populations to better inform optimal control of SARS-COV-2. METHODS: We examined SARS-CoV-2 case data from 101 non-administrative federal prisons between 5/18/2020 to 01/31/2021 and examined the per capita size of outbreaks in staff and the incarcerated population compared to outbreaks in the communities in the counties surrounding the prisons during the summer and winter waves of the SARS-COV-2 pandemic. We also examined the impact of decarceration on per capita rates in the staff/incarcerated/community populations. RESULTS: For both the summer and winter waves we found significant inter-correlations between per capita rates in the outbreaks among the incarcerated population, staff, and the community. Over-all during the pandemic, per capita rates were significantly higher in the incarcerated population than in both the staff and community (paired Student's t-test p = 0.03 and p < 0.001, respectively). Average per capita rates of incarcerated population outbreaks were significantly associated with prison security level, ranked from lowest per capita rate to highest: High, Minimum, Medium, and Low security. Federal prisons decreased the incarcerated population by a relative factor of 96% comparing the winter to summer wave (one SD range [90%,102%]). We found no significant impact of decarceration on per capita rates of SARS-COV-2 infection in the staff community populations, but decarceration was significantly associated with a decrease in incarcerated per capita rates during the winter wave (Negative Binomial regression p = 0.015). CONCLUSIONS: We found significant evidence of community/staff/incarcerated population inter-linkage of SARS-COV-2 transmission. Further study is warranted to determine which control measures aimed at the incarcerated population and/or staff are most efficacious at preventing or controlling outbreaks.

Geodemographic insights on the COVID-19 pandemic in the State of Wisconsin and the role of risky facilities.

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to impact the United States. While age and comorbid health conditions remain primary concerns in the community-based transmission of the virus, empirical evidence continues to suggest that substantial variability exists in the geographic and geodemographic distribution of COVID-19 infection rates. The purpose of this paper is to provide an alternative, spatiotemporal perspective on the pandemic using the state of Wisconsin as a case study. Specifically, in this paper, we explore the geographic nuances of COVID-19 and its spread in Wisconsin using a suite of spatial statistical approaches. We link detected hot spots of COVID-19 to local geodemographic profiles and the presence of high-risk facilities, including federal and state correctional facilities. The results suggest that the virus disproportionately impacts several communities and geodemographic groups and that proximity to risky facilities correlates to increased community infection rates.

Is There a Temporal Relationship between COVID-19 Infections among Prison Staff, Incarcerated Persons and the Larger Community in the United States?

BACKGROUND: Our objective was to examine the temporal relationship between COVID-19 infections among prison staff, incarcerated individuals, and the general population in the county where the prison is located among federal prisons in the United States. METHODS: We employed population-standardized regressions with fixed effects for prisons to predict the number of active cases of COVID-19 among incarcerated persons using data from the Federal Bureau of Prisons (BOP) for the months of March to December in 2020 for 63 prisons. RESULTS: There is a significant relationship between the COVID-19 prevalence among staff, and through them, the larger community, and COVID-19 prevalence among incarcerated persons in the US federal prison system. When staff rates are low or at zero, COVID-19 incidence in the larger community continues to have an association with COVID-19 prevalence among incarcerated persons, suggesting possible pre-symptomatic and asymptomatic transmission by staff. Masking policies slightly reduced COVID-19 prevalence among incarcerated persons, though the association between infections among staff, the community, and incarcerated persons remained significant and strong. CONCLUSION: The relationship between COVID-19 infections among staff and incarcerated persons shows that staff is vital to infection control, and correctional administrators should also focus infection containment efforts on staff, in addition to incarcerated persons.

A broadband integrated time series (BITS) for longitudinal analyses of the digital divide.

To evaluate actions taken to implement the Telecommunications Act of 1996, the primary goal of which was to foster competition in the industry, the FCC created a standardized form (Form 477) to collect information about broadband deployment and competition in local telephone service. These data represent the best publicly available record of broadband provision in the United States. Despite the potential benefits offered by this database, there are several nuances to these data related to shifting geographies and reporting requirements that uncorrected, prevent them from being used as an uninterrupted time series for longitudinal analyses. Given the analytical challenges associated with the FCC Form 477 data, the purpose of this paper is to present a solution to the fragmented nature of these data which prevents meaningful longitudinal analyses of the digital divide. Specifically, this paper develops and describes a procedure for producing an integrated broadband time series (BITS) for the last decade (2008-2018). This includes the procedures for using these data, their value to social and economic analysis, and their underlying limitations. The core contribution of this paper is the creation of data infrastructure for investigating the evolution of the digital divide.

Geodemographies of Breastfeeding Support.

BACKGROUND: Mother-to-mother breastfeeding support organizations provide important information and guidance for helping mothers initiate and maintain breastfeeding, postpartum. However, the availability of this support is limited by a constellation of barriers, including race, culture, socioeconomic status, and geography. RESEARCH AIMS: To identify the geodemographic composition of communities where breastfeeding support was available from the mother-to-mother support organizations Breastfeeding USA and La Leche League, identify underlying issues of equity, and highlight locations where more support resources may be needed. METHODS: The locations of mother-to-mother support meetings were collected by ZIP code (N = 180) and were combined with a geodemographic database and exploratory spatial data analysis to explore the compositional characteristics of communities served (N = 1,173). RESULTS: Significant gaps in the geographic distribution of breastfeeding support existed. While many metropolitan areas benefited from numerous mother-to-mother support groups and peer counselors, the geographic footprint of this support favored communities that were white, affluent, and suburban. CONCLUSION: Spatial analytics combined with geodemographic analysis provide a unique perspective into the diverse landscape of mother-to-mother breastfeeding support groups at a local level. Our results highlighted inequities in the distribution of support provided and prescriptive guidance regarding where more resources may be needed.

A Visual Analytics System for Oil Spill Response and Recovery.

Extensive research has been done on oil spill simulation techniques, spatial optimization models, and oil spill cleanup strategies. This article presents a visual analytics system that integrates the independent facets of spill modeling techniques and spatial optimization to enable inspection, exploration, and decision making for offshore oil spill response.

The complex geographies of telelactation and access to community breastfeeding support in the state of Ohio.

The availability of breastfeeding support resources, including those provided by Baby-Friendly Hospitals, International Board Certified Lactation Consultants, breastfeeding counselors and educators, and volunteer-based mother-to-mother support organizations, such as La Leche League, are critically important for influencing breastfeeding initiation and continuation for the mother-child dyad. In addition, the emergence of community support options via information and communication technologies such as Skype and Facetime, social media (e.g., Facebook), and telelactation providers are providing mothers with a new range of support options that can help bridge geographic barriers to traditional community support. However, telelactation services that use information and communication technologies to connect breastfeeding mothers to remotely located breastfeeding experts require reliable, affordable, high-quality broadband connections to facilitate interaction between mothers and their support resources. The purpose of this paper is to explore the complex spatial landscape of virtual and face-to-face breastfeeding support options for mothers in the state of Ohio (U.S.), identifying barriers to support. Using a range of spatial and network analytics, the results suggest that a divide is emerging. While urban areas in Ohio benefit from both a density of face-to-face breastfeeding support resources and robust broadband options for engaging in telelactation, many rural areas of the state are lacking access to both. Policy implications and several potential strategies for mitigating these inequities are discussed.

A Spatial Analysis of Breastfeeding and Breastfeeding Support in the United States: The Leaders and Laggards Landscape.

BACKGROUND: To better track progress in achieving the Healthy People 2020 goals, the Centers for Disease Control and Prevention (CDC) publishes an annual Breastfeeding Report Card (BRC) that represents a compilation of data on breastfeeding practices in all states. With data drawn from the CDC National Immunization Survey, the BRC provides an especially valuable source of information about geographic trends in breastfeeding and related support activities. RESEARCH AIM: This study aimed to identify important geographic trends in both breastfeeding practices and support structures in the United States, highlighting their spatial disparities. METHODS: Exploratory spatial data analysis, including local indicators of spatial association, is combined with spatial regression models to highlight geographic variations in breastfeeding practices and support. RESULTS: Geographic variation in both breastfeeding practices and allied support exists within the United States. Geographic hot spots of breastfeeding are found in the western and northeastern sections of the United States, and cool spots are located primarily in the Southeast. Regression results suggested that unemployment and demographic diversity are negatively associated with breastfeeding rates, whereas higher education and the presence of International Board Certified Lactation Consultants® (IBCLCs®) are positively connected to persistent breastfeeding practices. Further, although the availability of professional support (IBCLC) strengthened nationwide between 2011 and 2016, the availability of mother-to-mother support (La Leche League) softened. CONCLUSION: Although breastfeeding initiation rates continue to increase in the United States, rates of exclusive breastfeeding at 3 and 6 months remain low, displaying significant geographic variation. The ability to pinpoint lagging regions can help to efficiently allocate additional breastfeeding support resources and interventions.

Hurricane storm surge in Volusia County, Florida: evidence of a tipping point for infrastructure damage.

Storm surge often is the most destructive consequence of hurricanes and tropical storms, causing significant economic damage and loss of life. Many coastal communities that are located in high-risk areas vis-à-vis hurricanes and tropical storms are prepared for moderate (between six and eight feet) storm surges. Such preparation, though, is not commensurate with more severe, but less frequent, storm surges (greater than eight feet). These gaps in preparedness have serious implications for community resilience. This paper explores elements of the vulnerability and resilience of coastal communities during major storm surge events, drawing on Volusia County, Florida, United States, as a case study. It simulates the impacts of five hurricanes (Categories I-V) and their associated storm surges on local infrastructure systems, populations, and access to resources. The results suggest that Volusia County is subject to a 'tipping point' , where surge damage from Category IV storms is significantly greater than that from Category III and lower hurricanes.

Contact tracing for the control of infectious disease epidemics: Chronic Wasting Disease in deer farms.

Contact tracing is a crucial component of the control of many infectious diseases, but is an arduous and time consuming process. Procedures that increase the efficiency of contact tracing increase the chance that effective controls can be implemented sooner and thus reduce the magnitude of the epidemic. We illustrate a procedure using Graph Theory in the context of infectious disease epidemics of farmed animals in which the epidemics are driven mainly by the shipment of animals between farms. Specifically, we created a directed graph of the recorded shipments of deer between deer farms in Pennsylvania over a timeframe and asked how the properties of the graph could be exploited to make contact tracing more efficient should Chronic Wasting Disease (a prion disease of deer) be discovered in one of the farms. We show that the presence of a large strongly connected component in the graph has a significant impact on the number of contacts that can arise.

Optimizing oil spill cleanup efforts: A tactical approach and evaluation framework.

Although anthropogenic oil spills vary in size, duration and severity, their broad impacts on complex social, economic and ecological systems can be significant. Questions pertaining to the operational challenges associated with the tactical allocation of human resources, cleanup equipment and supplies to areas impacted by a large spill are particularly salient when developing mitigation strategies for extreme oiling events. The purpose of this paper is to illustrate the application of advanced oil spill modeling techniques in combination with a developed mathematical model to spatially optimize the allocation of response crews and equipment for cleaning up an offshore oil spill. The results suggest that the detailed simulations and optimization model are a good first step in allowing both communities and emergency responders to proactively plan for extreme oiling events and develop response strategies that minimize the impacts of spills.

Breastfeeding Support: A Geographic Perspective on Access and Equity.

BACKGROUND: Clinical lactation professionals, breastfeeding peer counseling, and mother-to-mother support are important sources of information and guidance for helping mothers initiate and maintain breastfeeding in the early weeks, months, and years postpartum. However, there is limited information concerning the geographic barriers that mothers face when seeking this support. Research aim: This study aimed to identify the geographic barriers to breastfeeding support, delineate gaps in access, assess inequities in the distribution of local support, and highlight the underlying differences in access and equity for different demographic and socioeconomic groups. METHODS: The locations of formal breastfeeding support resources were collected for the state of Ohio for 2016 and were combined with demographic and socioeconomic estimates and derived transportation catchment areas to conduct an analysis of spatial access and equity. RESULTS: Significant geographic gaps in formal breastfeeding support exist within the state of Ohio. Although urban areas benefit from a higher density of support options, including a wide variety of clinical experts and mother-to-mother support groups, inequities in exurban and rural areas were more strongly aligned with socioeconomic status than geography. In particular, the Special Supplemental Nutrition Program for Women, Infants, and Children offices in rural Ohio offer breastfeeding support to income-qualifying mothers but cannot address the needs of mothers who do not qualify. CONCLUSION: Spatial analytical approaches facilitate a more nuanced view of access and equity to breastfeeding support options, helping to both decompose important structural differences in the state of Ohio and identify locations that could benefit from additional breastfeeding support resources.

The spatio-temporal relationship between alcohol outlets and violence before and after privatization: A natural experiment, Seattle, Wa 2010-2013.

Alcohol-related violence is a well-documented public health concern, where various individual and community-level factors contribute to this relationship. The purpose of this study is to examine the impact of a significant policy change at the local level, which privatized liquor sales and distribution. Specifically, we explored the relationship between alcohol and violence in Seattle, WA, 2010-2013, via hierarchical spatio-temporal disease mapping models. To measure and map this complex spatio-temporal relationship at the census block group level (n=567), we examined a variety of models using integrated nested Laplace approximations and used the deviance information criterion to gauge model complexity and fit. For each additional off-premises and on-premises alcohol outlet in a given census block group, we found a significant increase of 8% and 5% for aggravated assaults and 6% and 5% for non-aggravated assaults, respectively. Lastly, our maps showed variation in the estimated relative risks across the city of Seattle.

Comparative approaches for assessing access to alcohol outlets: exploring the utility of a gravity potential approach.

BACKGROUND: A growing body of research recommends controlling alcohol availability to reduce harm. Various common approaches, however, provide dramatically different pictures of the physical availability of alcohol. This limits our understanding of the distribution of alcohol access, the causes and consequences of this distribution, and how best to reduce harm. The aim of this study is to introduce both a gravity potential measure of access to alcohol outlets, comparing its strengths and weaknesses to other popular approaches, and an empirically-derived taxonomy of neighborhoods based on the type of alcohol access they exhibit. METHODS: We obtained geospatial data on Seattle, including the location of 2402 alcohol outlets, United States Census Bureau estimates on 567 block groups, and a comprehensive street network. We used exploratory spatial data analysis and employed a measure of inter-rater agreement to capture differences in our taxonomy of alcohol availability measures. RESULTS: Significant statistical and spatial variability exists between measures of alcohol access, and these differences have meaningful practical implications. In particular, standard measures of outlet density (e.g., spatial, per capita, roadway miles) can lead to biased estimates of physical availability that over-emphasize the influence of the control variables. Employing a gravity potential approach provides a more balanced, geographically-sensitive measure of access to alcohol outlets. CONCLUSIONS: Accurately measuring the physical availability of alcohol is critical for understanding the causes and consequences of its distribution and for developing effective evidence-based policy to manage the alcohol outlet licensing process. A gravity potential model provides a superior measure of alcohol access, and the alcohol access-based taxonomy a helpful evidence-based heuristic for scholars and local policymakers.

Community Rates of Breastfeeding Initiation.

BACKGROUND: Breastfeeding initiation rates vary considerably across racial and ethnic groups, maternal age, and education level, yet there are limited data concerning the influence of geography on community rates of breastfeeding initiation. OBJECTIVE: This study aimed to describe how community rates of breastfeeding initiation vary in geographic space, highlighting "hot spots" and "cool spots" of initiation and exploring the potential connections between race, socioeconomic status, and urbanization levels on these patterns. METHODS: Birth certificate data from the Kentucky Department of Health for 2004-2010 were combined with county-level geographic base files, Census 2010 demographic and socioeconomic data, and Rural-Urban Continuum Codes to conduct a spatial statistical analysis of community rates of breastfeeding initiation. RESULTS: Between 2004 and 2010, the average rate of breastfeeding initiation for Kentucky increased from 43.84% to 49.22%. Simultaneously, the number of counties identified as breastfeeding initiation hot spots also increased, displaying a systematic geographic pattern in doing so. Cool spots of breastfeeding initiation persisted in rural, Appalachian Kentucky. Spatial regression results suggested that unemployment, income, race, education, location, and the availability of International Board Certified Lactation Consultants are connected to breastfeeding initiation. CONCLUSION: Not only do spatial analytics facilitate the identification of breastfeeding initiation hot spots and cool spots, but they can be used to better understand the landscape of breastfeeding initiation and help target breastfeeding education and/or support efforts.

Neighborhood social capital and achieved mobility of older adults.

OBJECTIVE: Evaluate associations of neighborhood social capital and mobility of older adults. METHOD: A community-based survey (Philadelphia, 2010) assessed mobility (Life-Space Assessment [LSA]; range = 0-104) of older adults (n = 675, census tracts = 256). Social capital was assessed for all adults interviewed from 2002-2010 (n = 13,822, census tracts = 374). Generalized estimating equations adjusted for individual- and neighborhood-level characteristics estimated mean differences and 95% confidence intervals (CIs) in mobility by social capital tertiles. Interactions by self-rated health, living arrangement, and race were tested. RESULTS: Social capital was not associated with mobility after adjustment for other neighborhood characteristics (mean difference for highest versus lowest tertile social capital = 0.79, 95% CI = [-3.3, 4.8]). We observed no significant interactions. In models stratified by race, Black participants had higher mobility in high social capital neighborhoods (mean difference = 7.4, CI = [1.0, 13.7]). DISCUSSION: Social capital may not contribute as much as other neighborhood characteristics to mobility. Interactions between neighborhood and individual-level characteristics should be considered in research on mobility.

Alcohol outlet density and violence: the role of risky retailers and alcohol-related expenditures.

AIMS: The aim of the study was to assess the association between alcohol outlet density and violence controlling for alcohol expenditures and the density of other retailers. METHODS: Cross-sectional ecological study of 1816 block groups in Philadelphia. We obtained 2010 data for aggravated assaults, alcohol outlets, alcohol expenditures, business points, land use and socioeconomic and demographic characteristics. We mapped the spatial distribution of alcohol outlets and aggravated assaults using a geographic information system. We estimated the association between assault density and total, on-premise and off-premise alcohol outlet densities using spatial regression models and controlling for the covariates of urban crime rates, alcohol expenditures, and the presence of other general and risky commercial retail outlets. RESULTS: The strong and positive association between alcohol outlet density and violence remained after controlling for alcohol expenditures and the density of other retailers. CONCLUSION: Findings support the concept that off-premise alcohol outlets in the neighborhood environment may impact health and social outcomes. The positive outlet-violence association in the face of these controls means it is not an association due solely to alcohol availability or to retail density. It also suggests that there is something unique about alcohol outlets or their density that makes them crime generators and links them to violence.