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These publications, journal articles, and other resources are related to small area estimation methods that we used to estimate chronic disease related measures for areas without direct estimates from surveys, such as counties, places, census tracts, and ZIP Code tabulation areas (ZCTA).

Pankowska MM, Lu H, Wheaton AG, et al. Prevalence and geographic patterns of self-reported short sleep duration among US adults, 2020. Prev Chronic Dis 2023;20:220400. DOI: http://dx.doi.org/10.5888/pcd20.220400

Lee B, Wang Y, Carlson SA, et al. National, state-level, and county-level prevalence estimates of adults aged ≥18 years self-reporting a lifetime diagnosis of depression — United States, 2020. MMWR Morb Mortal Wkly Rep 2023;72:24[644-650].

Lu H, Wang Y, Liu Y, et al. County-Level geographic disparities in disabilities among US adults, 2018. Prev Chronic Dis. 2023;20:230004. DOI: http://dx.doi.org/10.5888/pcd20.230004

Greenlund KJ, Lu H, Wang Y, et al. PLACES: Local Data for Better Health. Prev Chronic Dis. 2022;19:210459. DOI: https://doi.org/10.5888/pcd19.210459

Wang Y, Tevendale H, Lu H, et al. US county-level estimation for maternal and infant health-related behavior indicators using Pregnancy Risk Assessment Monitoring System data, 2016–2018. Popul Health Metr. 2022;20:14. DOI: https://doi.org/10.1186/s12963-022-00291-6

Wang Y, Zhang XY, Lu H, et al. Constructing statistical intervals for small area estimates based on generalized linear mixed model in health surveys. Open J Stat. 2022;12(1):10.4236/ojs.2022.121005. DOI: https://doi.org/10.4236/ojs.2022.121005

Wang Y, Zhang XY, Lu H, et al. Intercensal and postcensal estimation of population size for small geographic areas in the United States. Int J Popul Data Sci. 2020;5(1):27. DOI: https://doi.org/10.23889/ijpds.v5i1.1160

Razzaghi H, Wang Y, Lu H, et al. Estimated county-level prevalence of selected underlying medical conditions associated with increased risk for severe COVID-19 illness — United States, 2018. MMWR Morb Mortal Wkly Rep. 2020;69(29):945–950. DOI: https://dx.doi.org/10.15585/mmwr.mm6929a1

Samanic CM, Barbour KE, Liu Y, et al. Prevalence of self-reported hypertension and antihypertensive medication use by county and rural-urban classification — United States, 2017. MMWR Morb Mortal Wkly Rep. 2020;69(18):533–539. DOI:  http://dx.doi.org/10.15585/mmwr.mm6918a1

Holt JB, Matthews KA, Lu H, et al. Small area estimates of populations with chronic conditions for community preparedness for public health emergencies. American Journal of Public Health. 2019;109(S4): S325–S331. DOI: http://dx.doi.org/10.2105/AJPH.2019.305241

Eke PI, Lu H, Zhang X, et al. Geospatial distribution of periodontists and US adults with severe periodontitis, The Journal of the American Dental Association. 2018;150(2):103–110. DOI: http://dx.doi.org/10.1016/j.adaj.2018.09.021

Barbour KE, Moss S, Croft JB, et al. Geographic variations in arthritis prevalence, health-related characteristics, and management–United States, 2015;  MMWR Surveill Summ. 2018;67(No. SS-4):1–28. DOI: http://dx.doi.org/10.15585/mmwr.ss6704a1

Croft JB, Wheaton AG, Liu Y, et al. Urban–rural county and state differences in chronic obstructive pulmonary disease – United States, 2015.  MMWR Morb Mortal Wkly Rep. 2018;67(7):205-211. DOI: http://dx.doi.org/10.15585/mmwr.mm6707a1

Berkowitz Z, Zhang X, Richards TB, et al. Multilevel small–area estimation of colorectal cancer screening in the United States. Cancer Epidemiol Biomarkers Prev. 2018;27(3):245–253. DOI: https://dx.doi.org/10.1158/1055-9965.EPI-17-0488

Berkowitz Z, Zhang X, Richards TB, et al. Multilevel regression for small-area estimation of mammography use in the United States, 2014. Cancer Epidemiol Biomarkers Prev. 2018;28(1):32–40. DOI: https://dx.doi.org/10.1158/1055-9965.EPI-18-0367

Wang Y, Holt JB, Xu F, et al. Using 3 health surveys to compare multilevel models for small area estimation for chronic diseases and health behaviors. Prev Chronic Dis 2018;15:E133. DOI: http://dx.doi.org/10.5888/pcd15.180313

Lin M, Zhang X, Holt JB, et al. Multilevel model to estimate county-level untreated dental caries among US children aged 6-9 years using the National Health and Nutrition Examination Survey. Preventive Medicine. 2018;111:291–298. DOI: https://doi.org/10.1016/j.ypmed.2017.11.015

Wang Y, Holt JB, Zhang X, et al. Comparison of methods for estimating prevalence of chronic diseases and health behaviors for small geographic areas: Boston validation study, 2013. Prev Chronic Dis 2017;14:E99. DOI: http://dx.doi.org/10.5888/pcd14.170281

Barbour KE, Helmick CG, Boring M, et al. Prevalence of doctor-diagnosed arthritis at state and county levels – United States, 2014.  MMWR Morb Mortal Wkly Rep. 2016;65(19):489–494. DOI: http://dx.doi.org/10.15585/mmwr.mm6519a2

Berkowitz Z, Zhang X, Richards TB, et al. Multilevel small-area estimation of multiple cigarette smoking status categories using the 2012 Behavioral Risk Factor Surveillance System. Cancer Epidemiol Biomarkers Prev. 2016;25(10):1402–1410. DOI: https://dx.doi.org/10.1158/1055-9965.EPI-16-0244

Eke PI, Zhang X, Lu H, et al. Predicting periodontitis at state and local levels in the United States. Journal of Dental Research. 2016;95(5):515–522. DOI: https://dx.doi.org/10.1177/0022034516629112

Eke PI, Wei L, Borgnakke WS, et al. Periodontitis prevalence in adults ≥ 65 years of age, in the USA. Periodontology 2000. 2016;72(1):76–95. DOI: https://dx.doi.org/10.1111/prd.12145

Zhang X, Holt JB, Yun S, et al. Validation of multilevel regression and poststratification methodology for small area estimation of health indicators from the Behavioral Risk Factor Surveillance System. Am J Epidemiol 2015;182(2):127–37. DOI: https://doi.org/10.1093/aje/kwv002

Zhang X, Holt JB, Lu H, et al. Multilevel regression and poststratification for small-area estimation of population health outcomes: a case study of chronic obstructive pulmonary disease prevalence using the behavioral risk factor surveillance system. Am J Epidemiol 2014;179(8):1025–33. DOI: https://doi.org/10.1093/aje/kwu018

Zhang X, Onufrak S, Holt JB, Croft JB. A multilevel approach to estimating small area childhood obesity prevalence at the census block–group level. Prev Chronic Dis. 2013;10:120252. DOI: http://dx.doi.org/10.5888/pcd10.120252