Galicia-garcia U, Benito-vicente A, Jebari S, Larrea-sebal A. Pathophysiology of type 2 diabetes mellitus. Int J Mol Sci Rev. 2020;21(6275):1–34.
Thomas RL, Halim S, Gurudas S, Sivaprasad S, Owens DR. IDF diabetes atlas: a review of studies utilising retinal photography on the global prevalence of diabetes related retinopathy between 2015 and 2018. Diabetes Res Clin Pract. 2019;157:107840.
Loop MS, Howard G, de los Campos G, Al-Hamdan MZ, Safford MM, Levitan EB, et al. Heat maps of hypertension, diabetes mellitus, and smoking in the continental United States. Circ Cardiovasc Qual Outcomes. 2017;10(1):e003350.
Tran BX, Nguyen LH, Pham NM. Global mapping of interventions to improve quality of life of people with diabetes in 1990–2018. Int J Environ Res Public Health. 2020;17:1597.
Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1):4–14.
Burrows NR, Ali MK, Ch B, Rolka D, Williams DE, Ph D, et al. Changes in Diabetes-Related complications in the united States, 1990–2010. New Engl J Med Orig. 2014;370(2014):1514–23.
Kibirige D, Lumu W, Jones AG, Smeeth L, Hattersley AT, Nyirenda MJ. Understanding the manifestation of diabetes in sub-Saharan Africa to inform therapeutic approaches and preventive strategies: a narrative review. Clin Diabetes Endocrinol. 2019;5(1):1–8.
International Diabetes Federation IDF. International Diabetes Federation. [cited 2024 Oct 2]. Diabetes: Facts & figures. Available from: https://idf.org/about-diabetes/diabetes-facts-figures/
Benoit SR, Hora I, Albright AL, Gregg EW. New directions in incidence and prevalence of diagnosed diabetes in the USA. BMJ Open Diabetes Res Care. 2019;7(1):1–6.
CDC. Diabetes. 2024 [cited 2024 Oct 1]. National Diabetes Statistics Report. Available from: https://www.cdc.gov/diabetes/php/data-research/index.html
Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2020: Estimates of diabetes and its burden in the United States. Atlanta, GA: U.S. Department of Health and Human Services. 2020.
Pearson-stuttard J, Blundell S, Harris T, Cook DG, Critchley J. Review Diabetes and infection: assessing the association with glycaemic control in population-based studies. 2015;8587(October 2018).
Baron AD, Steinberg HO, Chaker H, Leaming R, Johnson A, Brechtel G. Insulin-mediated skeletal muscle vasodilation contributes to both insulin sensitivity and responsiveness in lean humans. J Clin Invest. 1995;96(2):786–92.
Rajagopalan S, Brook RD. Air pollution and type 2 diabetes: mechanistic insights. Perspect DIABETES. 2012;61(12):3037–45.
Thiering E, Heinrich J. Epidemiology of air pollution and diabetes. Trends Endocrinol Metab. 2015;26(7):384–94.
CDC. Diabetes. 2024 [cited 2024 Oct 1]. A Report Card: Diabetes in the United States Infographic. Available from: https://www.cdc.gov/diabetes/communication-resources/diabetes-statistics.html
Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JLJ, et al. The seventh report of the joint National committee on Prevention, Detection, Evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72.
American Diabetes Association. Economic costs of diabetes In the U.S. In 2017. Diabetes Care. 2018;41(5):917–28.
Barker LE, Kirtland KA, Gregg EW, Geiss LS, Thompson TJ. Geographic distribution of diagnosed diabetes in the U.S.: a diabetes belt. Am J Prev Med. 2011;40(4):434–9.
Kianfar N, Mesgari MS. GIS-based spatio-temporal analysis and modeling of COVID-19 incidence rates in Europe. Spatial and Spatio-temporal Epidemiology. 2022;41:100498.
Kianfar N, Mesgari MS, Mollalo A, Kaveh M. Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms. Spatial and Spatio-temporal Epidemiology. 2022;40:100471.
Borhani NO. Changes and geographic distribution of mortality from cerebrovascular disease. Am J Public Health Nations Health. 1965;55(5):673–81.
Rue H, Martino S, Chopin N. Approximate bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. J R Stat Soc Series B Stat Methodol. 2009;71(2):319–92.
Moraga P, Dean C, Inoue J, Morawiecki P, Noureen SR, Wang F. Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique. Spat Spatio-Temporal Epidemiol. 2021;39:100440.
Asmarian N, Ayatollahi SMT, Sharafi Z, Zare N. Bayesian spatial joint model for disease mapping of zero-inflated data with R-INLA: a simulation study and an application to male breast cancer in Iran. Int J Environ Res Public Health. 2019;16(22):1–13.
Salubi EA, Elliott SJ. Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study. BMC Infect Dis. 2021;21(1):202.
Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2007;298(22):2654–64.
Pan A, Wang Y, Talaei M, Hu FB, Wu T. Relation of active, passive, and quitting smoking with incident diabetes: a meta-analysis and systematic review. Lancet Diabetes Endocrinol. 2015;3(12):958–67.
Maddatu J, Anderson-Baucum E, Evans-Molina C. Smoking and the risk of type 2 diabetes. Transl Res. 2017;184:101–7.
Ley SH, Ardisson Korat AV, Sun Q, Tobias DK, Zhang C, Qi L, et al. Contribution of the nurses’ health studies to uncovering risk factors for type 2 diabetes: diet, lifestyle, biomarkers, and genetics. Am J Public Health. 2016;106(9):1624–30.
Abdullah A, Peeters A, de Courten M, Stoelwinder J. The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. Diabetes Res Clin Pract. 2010;89(3):309–19.
Abdullah A, Stoelwinder J, Shortreed S, Wolfe R, Stevenson C, Walls H, et al. The duration of obesity and the risk of type 2 diabetes. Public Health Nutr. 2011;14(1):119–26.
Lee J, Callaghan T, Ory M, Zhao H, Bolin JN. The impact of Medicaid expansion on diabetes management. Diabetes Care. 2020;43(5):1094–101.
Volaco A, Cavalcanti AM, Filho RP, Précoma DB. Socioeconomic status: the missing link between obesity and diabetes mellitus? Curr Diabetes Rev. 2018;14(4):321–6.
Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. The 2016 global and national burden of diabetes mellitus attributable to PM2·5 air pollution. Lancet Planet Health. 2018;2(7):e301-12.
Ren Z, Yuan J, Luo Y, Wang J, Li Y. Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis. Ann Transl Med. 2023;11(1):23.
Strak M, Janssen N, Beelen R, Schmitz O, Vaartjes I, Karssenberg D, et al. Long-term exposure to particulate matter, NO2, and the oxidative potential of particulates and diabetes prevalence in a large National health survey. Environ Int. 2017;108:228–36.
Hellack B, Sugiri D, Schins RPF, Schikowski T, Krämer U, Kuhlbusch TAJ, et al. Land use regression modeling of oxidative potential of fine particles, NO2, PM2.5 mass, and association to type two diabetes mellitus. Atmos Environ. 2017;171:181–90.
Blauw LL, Aziz NA, Tannemaat MR, Blauw CA, de Craen AJ, Pijl H, et al. Diabetes incidence and glucose intolerance prevalence increase with higher outdoor temperature. BMJ Open Diabetes Res Care. 2017;5(1):e000317.
US CDC UC. BRFSS Prevalence & Trends Data: Home | DPH | CDC [Internet]. 2023 [cited 2024 Oct 1]. Available from: https://www.cdc.gov/brfss/brfssprevalence/index.html
Bureau UC. Census.gov. [cited 2024 Oct 1]. Population and Housing Unit Estimates Tables. Available from: https://www.census.gov/programs-surveys/popest/data/tables.html
Xie H, Barker LE, Rolka DB, Incorporating design weights and historical data into model-based. Small-area estimation. [cited 2024 Oct 1]; Available from: https://stacks.cdc.gov/view/cdc/87428
2023 County Health Rankings National Findings Report. | County Health Rankings & Roadmaps [Internet]. [cited 2024 Oct 1]. Available from: https://www.countyhealthrankings.org/findings-and-insights/2023-county-health-rankings-national-findings-report
Azur MJ, Stuart EA, Frangakis C, Leaf PJ. Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res. 2011;20(1):40–9.
Gilks WR, Richardson S, Spiegelhalter DJ, editors. Markov Chain Monte Carlo in Practice. 1st ed. New York: Chapman & Hall/CRC. 1995:512. https://doi.org/10.1201/b14835.
Lindgren F, Rue H. Bayesian spatial modelling with R-INLA. J Stat Softw. 2015;63(19):1–25.
Hodges JS, Reich BJ. Adding Spatially-Correlated errors can mess up the fixed effect you love. Am Stat. 2010;64(4):325–34.
RStudio. RStudio Desktop [Internet]. Posit. 2024 [cited 2024 Jun 24]. Available from: https://www.posit.co/
Wang L, Li X, Wang Z, Bancks MP, Carnethon MR, Greenland P, et al. Trends in prevalence of diabetes and control of risk factors in diabetes among US adults, 1999–2018. JAMA. 2021;326(8):704–16.
Qiao S, Li Z, Weissman S, Li X, Olatosi B, Davis C, et al. Disparity in HIV service interruption in the outbreak of COVID-19 in South Carolina. AIDS Behav. 2021;25(1):49–57.
Appel SJ, Harrell JS, Deng S. Racial and socioeconomic differences in risk factors for cardiovascular disease among Southern rural women. Nurs Res. 2002;51(3):140–7.
Mohai P, Lantz PM, Morenoff J, House JS, Mero RP. Racial and socioeconomic disparities in residential proximity to polluting industrial facilities: evidence from the Americans’ changing lives study. Am J Public Health. 2009;99(Suppl 3):649–56.
Rimm EB, Chan J, Stampfer MJ, Colditz GA, Willett WC. Prospective study of cigarette smoking, alcohol use, and the risk of diabetes in men. BMJ. 1995;310(6979):555–9.
Sullivan PW, Ghushchyan VH, Ben-Joseph R. The impact of obesity on diabetes, hyperlipidemia, and hypertension in the United States. Qual Life Res. 2008;17(8):1063–71.
He D, Wu S, Zhao H, Qiu H, Fu Y, Li X, et al. Association between particulate matter 2.5 and diabetes mellitus: a meta-analysis of cohort studies. J Diabetes Investig. 2017;8(5):687–96.
Park S, McGuire LC, Galuska DA. Regional differences in sugar-sweetened beverage intake among US adults. J Acad Nutr Diet. 2015;115(12):1996–2002.
Oya J, Vistisen D, Christensen DL, Faurholt-Jepsen D, Mohan V, Ramachandran A, et al. Geographic differences in the associations between impaired glucose regulation and cardiovascular risk factors among young adults. Diabet Med. 2015;32(4):497–504.
Moody A, Cowley G, Fat LN, Mindell JS. Social inequalities in prevalence of diagnosed and undiagnosed diabetes and impaired glucose regulation in participants in the health surveys for England series. BMJ Open. 2016;6(2):e010155.