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To decrease diabetes morbidity and mortality rates, early interventions are needed to change lifestyles that are often cemented early, making school-based interventions important. However, with limited resources and lack of within-county diabetes data, it is difficult to determine which local areas require intervention. To identify at-risk school districts, this study mapped diabetes prevalence and related deaths by school district using geographic information systems (GIS). The 2010-2014 records of diabetes-related deaths were identified for 13 cities in Michigan, USA. Diabetes prevalence was estimated using the weighted average of population by school district from the '500 Cities Project' of the Centres of Disease Control and prevention (CDC). Prevalence and mortality rates were mapped by school district and the correlation between diabetes prevalence and mortality rate analysed using the Spearman's rank correlation. Years of potential life lost (YPLL) were calculated using a 75-year endpoint. The result indicated there were geographic variations in diabetes prevalence, mortality and YPLL across Michigan. Most census tracts in the cities of Detroit, Flint and downtown Grand Rapids had higher diabetes prevalence and mortality rate with rs (628)=0.52, P<0.005. School districts with high mortality rates also had high prevalence with rs (13)=0.72, P=0.002. Flint City School District showed a higher rate of diabetes prevalence, death and YPLL than others and should thus be considered a priority for diabetes prevention interventions. Using school districts as the geographic spatial unit of analysis, we identified local variation in diabetes burden for targeting school-based diabetes prevention interventions.

We determine the impact of residential mobility in the prevalence and transmission dynamics of sexually transmitted infections. We illustrate our approach on reported chlamydia infections obtained from the Michigan Disease Surveillance System for Kalamazoo County, USA, from 2006 to 2014. We develop two scenarios, one with fixed residential addresses and one considering residential mobility. We then compare the resulting space-time clusters and relative risk (RR) of infection. The space-time scan statistics showed increased RR in an area with previously low risk of sexually transmitted infections. In addition, even though the spatial extent of the three clusters identified did not change significantly at the scale we conducted our analysis at, the temporal extent (duration) did exhibit significant changes and could be considered for unique interventions. The results indicate that residential mobility has some dependency on the prevalence and transmission dynamics of sexually transmitted infections to new areas. We suggest that strategies adopted to reduce the burden of sexually transmitted infections take into consideration the relatively high residential mobility of at-risk populations to reduce spreading the infections to new areas.

Objective: We modelled individual vulnerability to STI using personal history of infection and neighbourhood characteristics., Methods: Retrospective chlamydia and gonorrhoea data of reported confirmed cases from Kalamazoo County, Michigan for 2012 through 2014 were analysed. Unique IDs were generated from the surveillance data in collaboration with local health officials to track the individual STI histories. We then examine the concept that individuals with similar STI histories form a 'peer' group. These peer group include: (1) individuals with a single chlamydia; (2) individuals with single gonorrhoea; (3) individuals with repeated cases of one type of STI and (4) individuals that were diagnosed with both infections during the study period. Using Kernel density estimation, we generated densities for each peer group and assigned the intensity of the infection to the location of the individual. Finally, the individual vulnerability was characterised through ordinary least square regression (OLS) using demographics and socioeconomic variables., Results: In an OLS regression adjusted for frequency of infection, individual vulnerability to STI was only consistently significant for race and neighbourhood-level socioeconomic status (SES) in all the models under consideration. In addition, we identified six areas in three townships in Kalamazoo County that could be considered for unique interventions based on overlap patterns among peer groups., Conclusions: The results provide evidence that individual vulnerability to STI has some dependency on individual contextual (race) and exogenous factors at the neighbourhood level such as SES, regardless of that individual's personal history of infection. We suggest place-based intervention strategies be adopted for planning STI interventions instead of current universal screening of at-risk populations., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective: To describe the development, reliability, and validity of the Environmental Assessment Tool (EAT) for assessing worksite physical and social environmental support for obesity prevention., Methods: The EAT was developed using a multistep process. Inter-rater reliability was estimated via Kappa and other measures. Concurrent and predictive validity were estimated using site-level correlations and person-level multiple regression analyses comparing EAT scores and employee absenteeism and health care expenditures., Results: Results show high inter-rater reliability and concurrent validity for many measures and predictive validity for absenteeism expenditures., Conclusions: The primary use of the EAT is as a physical and social environment assessment tool for worksite obesity prevention efforts. It can be used as a reliable and valid means to estimate relationships between environmental interventions and absenteeism and medical expenditures, provided those expenditures are for the same year that the EAT is administered.