Brian A Chang1, William S Pearson2, Kwame Owusu-Edusei3. 1. Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA; Icahn School of Medicine at Mount Sinai, New York, NY. 2. Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA. 3. Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: Kowusuedusei@cdc.gov.
Abstract
PURPOSE: We used a combination of hot spot analysis (HSA) and spatial regression to examine county-level hot spot correlates for the most commonly reported nonviral sexually transmitted infections (STIs) in the 48 contiguous states in the United States (US). METHODS: We obtained reported county-level total case rates of chlamydia, gonorrhea, and primary and secondary (P&S) syphilis in all counties in the 48 contiguous states from national surveillance data and computed temporally smoothed rates using 2008-2012 data. Covariates were obtained from county-level multiyear (2008-2012) American Community Surveys from the US census. We conducted HSA to identify hot spot counties for all three STIs. We then applied spatial logistic regression with the spatial error model to determine the association between the identified hot spots and the covariates. RESULTS: HSA indicated that ≥84% of hot spots for each STI were in the South. Spatial regression results indicated that, a 10-unit increase in the percentage of Black non-Hispanics was associated with ≈42% (P < 0.01) [≈22% (P < 0.01), for Hispanics] increase in the odds of being a hot spot county for chlamydia and gonorrhea, and ≈27% (P < 0.01) [≈11% (P < 0.01) for Hispanics] for P&S syphilis. Compared with the other regions (West, Midwest, and Northeast), counties in the South were 6.5 (P < 0.01; chlamydia), 9.6 (P < 0.01; gonorrhea), and 4.7 (P < 0.01; P&S syphilis) times more likely to be hot spots. CONCLUSION: Our study provides important information on hot spot clusters of nonviral STIs in the entire United States, including associations between hot spot counties and sociodemographic factors. Published by Elsevier Inc.
PURPOSE: We used a combination of hot spot analysis (HSA) and spatial regression to examine county-level hot spot correlates for the most commonly reported nonviral sexually transmitted infections (STIs) in the 48 contiguous states in the United States (US). METHODS: We obtained reported county-level total case rates of chlamydia, gonorrhea, and primary and secondary (P&S) syphilis in all counties in the 48 contiguous states from national surveillance data and computed temporally smoothed rates using 2008-2012 data. Covariates were obtained from county-level multiyear (2008-2012) American Community Surveys from the US census. We conducted HSA to identify hot spot counties for all three STIs. We then applied spatial logistic regression with the spatial error model to determine the association between the identified hot spots and the covariates. RESULTS:HSA indicated that ≥84% of hot spots for each STI were in the South. Spatial regression results indicated that, a 10-unit increase in the percentage of Black non-Hispanics was associated with ≈42% (P < 0.01) [≈22% (P < 0.01), for Hispanics] increase in the odds of being a hot spot county for chlamydia and gonorrhea, and ≈27% (P < 0.01) [≈11% (P < 0.01) for Hispanics] for P&S syphilis. Compared with the other regions (West, Midwest, and Northeast), counties in the South were 6.5 (P < 0.01; chlamydia), 9.6 (P < 0.01; gonorrhea), and 4.7 (P < 0.01; P&S syphilis) times more likely to be hot spots. CONCLUSION: Our study provides important information on hot spot clusters of nonviral STIs in the entire United States, including associations between hot spot counties and sociodemographic factors. Published by Elsevier Inc.
Authors: Guangxiao Hu; Nora Hamovit; Kristen Croft; Jennifer D Roberts; Deb Niemeier Journal: Proc Natl Acad Sci U S A Date: 2022-06-27 Impact factor: 12.779
Authors: Justin Xavier Moore; Kendra J Royston; Marvin E Langston; Russell Griffin; Bertha Hidalgo; Henry E Wang; Graham Colditz; Tomi Akinyemiju Journal: Cancer Causes Control Date: 2018-06-19 Impact factor: 2.506
Authors: Kwame Owusu-Edusei; Bryttany McClendon-Weary; Lara Bull; Thomas L Gift; Sevgi O Aral Journal: Sex Transm Dis Date: 2020-03 Impact factor: 3.868