Associations between Neighborhood Disadvantage and Dog Walking among Participants in the Dog Aging Project.

Although neighborhood socioeconomic disadvantage is negatively related to overall physical activity, prior studies reveal a complex relationship between disadvantage and particular walking behaviors. While disadvantage is associated with reduced recreational walking through a hypothesized "fear-of-crime" mechanism, the built environment in disadvantaged neighborhoods may encourage utilitarian walking. To date, no study has assessed how disadvantage relates to dog walking, a distinct walking behavior that is neither strictly recreational nor utilitarian but represents a key mechanism through which pet ownership may affect human health. We employ a large (n = 19,732) dataset from the Dog Aging Project to understand how neighborhood disadvantage is associated with dog walking when controlling for individual-, household-, and environmental-level factors. We find that dog owners in more disadvantaged neighborhoods report less on-leash walking activity compared to owners in advantaged neighborhoods and discuss the possibility of a fear-of-crime mechanism underlying this association. These findings improve our understanding of the relationship between neighborhood disadvantage and physical function and highlight the need for public health interventions that encourage dog ownership to consider neighborhood disadvantage.

Veterinary Big Data: When Data Goes to the Dogs.

Dogs provide an ideal model for study as they have the most phenotypic diversity and known naturally occurring diseases of all non-human land mammals. Thus, data related to dog health present many opportunities to discover insights into health and disease outcomes. Here, we describe several sources of veterinary medical big data that can be used in research. These sources include medical records from primary medical care centers or referral hospitals, medical claims data from animal insurance companies, and datasets constructed specifically for research purposes. No data source provides information that is without limitations, but large-scale, prospective, longitudinally collected data from dog populations are ideal for further research as they offer many advantages over other data sources.

Predictors of First-Time and Repeat HIV Testing Among HIV-Positive Individuals in Kenya.

BACKGROUND: Despite a doubling of HIV testing coverage in Kenya over the past decade, approximately 2 in 10 people with HIV remained unaware of their infection in 2018. HIV testing is most effective in identifying people with undiagnosed HIV through frequent and strategic testing in populations at high risk. An assessment of testing frequency and predictors of first-time and repeat testing is critical for monitoring effectiveness of testing strategies. METHODS: We conducted a cross-sectional analysis of adults aged ≥18 years who tested HIV-positive at 4 HIV testing and counseling clinics in Kenya from February 2015 to February 2016. We categorized individuals based on testing history, used Wilcoxon rank-sum tests to assess differences in intervals between the most recent and current HIV test, and used log-binomial regression to determine characteristics associated with first-time and repeat testing. RESULTS: Among 1136 people testing HIV-positive, 336 (30%) had never tested before and 800 (70%) had, of whom 208 (26%) had previously tested positive. Among previously negative repeat testers, the median intertest interval was 414 days in key/priority populations (interquartile range = 179-1072) vs. 538 in the general population (interquartile range = 228-1299) (P = 0.09). Compared with previously negative repeat testers, being a first-time tester was associated with being age ≥40 years [vs. 18-24; adjusted risk ratio = 1.67, 95% confidence interval (CI): 1.23 to 2.26], men (vs. women; adjusted risk ratio = 1.45, 95% CI: 1.21 to 1.71), and testing through provider-initiated testing and counseling (vs. client initiated; 1.19, 95% CI: 1.00 to 1.40). CONCLUSIONS: There is a need to increase HIV testing among older individuals and men, increase testing frequency in key/priority populations, and maintain provider-initiated and facility-based testing to reach first-time testers.

Feasibility and acceptability of an iris biometric system for unique patient identification in routine HIV services in Kenya.

BACKGROUND: Use of routine HIV programme data for surveillance is often limited due to inaccuracies associated with patient misclassification which can be addressed by unique patient identification.We assessed the feasibility and acceptability of integrating an iris recognition biometric identification system into routine HIV care services at 4 sites in Kenya. METHODS: Patients who had recently tested HIV-positive or were engaged in care were enrolled. Images of the iris were captured using a dual-iris camera connected to a laptop. A prototype iris biometric identification system networked across the sites, analysed the iris patterns; created a template from those patterns; and generated a 12-digit ID number based on the template. During subsequent visits, the patients' irises were re-scanned, and the pattern was matched to stored templates to retrieve the ID number. RESULTS: Over 55 weeks 8,614 (98%) of 8,794 new patients were assigned a unique ID on their first visit. Among 6,078 return visits, the system correctly re-identified patients' IDs 5,234 times (86%). The false match rate (a new patient given the ID of another patient) was 0·5% while the generalized false reject rate (re-scans assigned a new ID) was 4·7%. Overall, 9 (0·1%) agreed to enrol but declined to have an iris scan. The most common reasons cited for declining an iris scan were concerns about privacy and confidentiality. CONCLUSION: Implementation of an iris recognition system in routine health information systems is feasible and highly acceptable as part of routine care in Kenya. Scale-up could improve unique patient identification and tracking, enhancing disease surveillance activities.

Index participant characteristics and HIV assisted partner services efficacy in Kenya: results of a cluster randomized trial.

INTRODUCTION: We have previously demonstrated that assisted partner services (aPS) increases HIV testing and case finding among partners of persons living with HIV (PLHIV) in a cluster randomized trial in Kenya. However, the efficacy of aPS may vary across populations. In this analysis, we explore differences in aPS efficacy by characteristics of index participants. METHODS: Eighteen HIV testing sites were randomized to immediate versus 6-week delayed aPS. Participants were PLHIV (or index participants) and their sexual partners. Partners of index participants were contacted for HIV testing and linked to care if HIV positive. Primary outcomes were the number of partners per index participant who: 1) tested for HIV, 2) tested HIV positive and 3) enrolled in HIV care. We used generalized estimating equations to assess differences in aPS efficacy by region, testing location, gender, age and knowledge of HIV status. RESULTS: From 2013 to 2015, the study enrolled 1119 index participants, 625 of whom were in the immediate group. These index participants named 1286 sexual partners. Immediate aPS was more efficacious than delayed aPS in promoting HIV testing among partners in high compared to low HIV prevalence regions (Nyanza incidence rate ratio (IRR) 7.2; 95% confidence interval (CI) 5.4, 9.6 vs. Nairobi/Central IRR 3.4 95% CI 2.3, 4.8). Higher rates of partner HIV testing were also observed for index participants in rural/peri-urban compared to urban sites (IRR 6.6; 95% CI 4.5, 9.6 vs. IRR 3.5 95% CI 2.5, 5.0 respectively), for female versus male index participants (IRR 5.8 95% CI 4.2, 7.9 vs. IRR 3.7; 95% CI 2.4, 5.8 respectively) and for newly diagnosed versus known HIV-positive index participants (IRR 6.0 95% CI 4.2, 8.7 vs. IRR 3.3; 95% CI 2.0, 7.7 respectively). Providing aPS to female versus male index participants also had a significantly higher HIV case finding rate (IRR 9.1; 95% CI 4.0, 20.9 vs. IRR 3.2 95% CI 1.7, 6.0 respectively.) CONCLUSIONS: While it is known that aPS promotes increases in HIV testing and case finding, this is the first study to demonstrate significant differences in aPS efficacy across characteristics of the index participant. Understanding these differences and their drivers will be critical as aPS is brought to scale in order to ensure all PLHIV have access to these services.

Weather-Related Hazards and Population Change: A Study of Hurricanes and Tropical Storms in the United States, 1980-2012.

Environmental determinists predict that people move away from places experiencing frequent weather hazards, yet some of these areas have rapidly growing populations. This analysis examines the relationship between weather events and population change in all U.S. counties that experienced hurricanes and tropical storms between 1980 and 2012. Our database allows for more generalizable conclusions by accounting for heterogeneity in current and past hurricane events and losses and past population trends. We find that hurricanes and tropical storms affect future population growth only in counties with growing, high-density populations, which are only 2 percent of all counties. In those counties, current year hurricane events and related losses suppress future population growth, although cumulative hurricane-related losses actually elevate population growth. Low-density counties and counties with stable or declining populations experience no effect of these weather events. Our analysis provides a methodologically informed explanation for contradictory findings in prior studies.

Local health department food safety and sanitation expenditures and reductions in enteric disease, 2000-2010.

OBJECTIVES: In collaboration with Public Health Practice-Based Research Networks, we investigated relationships between local health department (LHD) food safety and sanitation expenditures and reported enteric disease rates. METHODS: We combined annual infection rates for the common notifiable enteric diseases with uniquely detailed, LHD-level food safety and sanitation annual expenditure data obtained from Washington and New York state health departments. We used a multivariate panel time-series design to examine ecologic relationships between 2000-2010 local food safety and sanitation expenditures and enteric diseases. Our study population consisted of 72 LHDs (mostly serving county-level jurisdictions) in Washington and New York. RESULTS: While controlling for other factors, we found significant associations between higher LHD food and sanitation spending and a lower incidence of salmonellosis in Washington and a lower incidence of cryptosporidiosis in New York. CONCLUSIONS: Local public health expenditures on food and sanitation services are important because of their association with certain health indicators. Our study supports the need for program-specific LHD service-related data to measure the cost, performance, and outcomes of prevention efforts to inform practice and policymaking.

Classifying local health departments on the basis of the constellation of services they provide.

OBJECTIVES: We explored service variation among local health departments (LHDs) nationally to allow systematic characterization of LHDs by patterns in the constellation of services they deliver. METHODS: We conducted latent class analysis by using categorical variables derived from LHD service data collected in 2008 for the National Profile of Local Health Departments Survey and before service changes resulting from the national financial crisis. RESULTS: A 3-class solution produced the best fit for this data set of 2294 LHDs. The 3 configurations of LHD services depicted an interrelated set of narrow or limited service provision (limited), a comprehensive (core) set of key services provided, and a third class of core and expanded services (core plus), which often included rare services. The classes demonstrated high geographic variability and were weakly associated with expenditure quintile and urban or rural location. CONCLUSIONS: This empirically derived view of how LHDs organize their array of services is a unique approach to categorizing LHDs, providing an important tool for research and a gauge to monitor how changes in LHD service patterns occur.

Targeted health department expenditures benefit birth outcomes at the county level.

BACKGROUND: Public health leaders lack evidence for making decisions about the optimal allocation of resources across local health department (LHD) services, even as limited funding has forced cuts to public health services while local needs grow. A lack of data has also limited examination of the outcomes of targeted LHD investments in specific service areas. PURPOSE: This study used unique, detailed LHD expenditure data gathered from state health departments to examine the influence of maternal and child health (MCH) service investments by LHDs on health outcomes. METHODS: A multivariate panel time-series design was used in 2013 to estimate ecologic relationships between 2000-2010 LHD expenditures on MCH and county-level rates of low birth weight and infant mortality. The unit of analysis was 102 LHD jurisdictions in Washington and Florida. RESULTS: Results indicate that LHD expenditures on MCH services have a beneficial relationship with county-level low birth weight rates, particularly in counties with high concentrations of poverty. This relationship is stronger for more targeted expenditure categories, with expenditures in each of the three specific examined MCH service areas demonstrating the strongest effects. CONCLUSIONS: Findings indicate that specific LHD investments in MCH have an important effect on related health outcomes for populations in poverty and likely help reduce the costly burden of poor birth outcomes for families and communities. These findings underscore the importance of monitoring the impact of these evolving investments and ensuring that targeted, beneficial investments are not lost but expanded upon across care delivery systems.

Local Health Department Provision of WIC Services Relative to Local "Need"- Examining 3 States and 5 Years.

Great variation exists in the nature of LHD service delivery and it varies, in part, relative to jurisdiction population size. Larger LHD jurisdictions may achieve an economy of scale in WIC service delivery that is not matched in smaller areas. Overall, we found that WIC service provision appears relatively consistent across study states and in the presence of increasing need, with greater responsiveness to need in urban areas. As demand for some preventive services increases LHDs in rural areas may need greater support than LHDs in large jurisdictions for meeting local demand. Unlike WIC, LHD-provided services that have less consistently maintained service-delivery guidelines may have a harder time responding to increasing need. The relative consistency of a federally-funded program such as WIC may serve as a good baseline for further study of less consistently delivered programs among LHDs. LHD service statistics can serve as useful data sources in measuring volume of service delivery relative to need.

Validation of the normalized difference vegetation index as a measure of neighborhood greenness.

PURPOSE: To assess the validity of a Geographic Information Systems (GIS) measure, the Normalized Difference Vegetation Index (NDVI), as a measure of neighborhood greenness for epidemiologic research. METHODS: Using remote-sensing spectral data, NDVI was calculated for a 100-m radial distance around 124 residences in greater Seattle. The criterion standard was rating of greenness for corresponding residential areas by 3 environmental psychologists. Pearson correlations and regression models were used to assess the association between the psychologists' ratings of greenness and NDVI. Analyses were also stratified by residential density to assess whether the correlations differed between low and high density. RESULTS: The mean NDVI among this sample of residences was 0.27 (standard deviation [SD], 0.11; range, -0.04 to 0.54), and the mean psychologist rating of greenness was 2.84 (SD, 0.98; range, 1-5). The correlation between NDVI and expert ratings of greenness was high (r = 0.69). The correlation was equivalently strong within each strata of residential density. CONCLUSIONS: NDVI is a useful measure of neighborhood greenness. In addition to showing a strong correlation with expert ratings, this measure has practical advantages, including availability of data and ease of application to various boundaries, which would aid in replication and comparability across studies.