Mapping late testers for HIV in Texas

Health and Place

Volumn 18, Issue 3, 2012, Pages 568-575

  Oppong, Joseph R ^a   Tiwari, Chetan ^a   Ruckthongsook, Warangkana ^a   Huddleston, Jody ^a   Arbona, Sonia ^b  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b TEXAS DEPARTMENT OF STATE HEALTH SERVICES   (United States)

Author keywords

Disease mapping; HIV AIDS; Late testers; Public health; Surveillance

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; DISEASE; ESTIMATION METHOD; HUMAN IMMUNODEFICIENCY VIRUS; MAPPING METHOD; PUBLIC HEALTH; SPATIAL ANALYSIS;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; CONFIDENTIALITY; CONTROLLED STUDY; DIAGNOSTIC TEST; EARLY DIAGNOSIS; GEOGRAPHY; HIGH RISK POPULATION; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MEDICAL INFORMATION; PRIORITY JOURNAL; UNITED STATES;

TEXAS; UNITED STATES;

EID: 84859269396     PISSN: 13538292     EISSN: 18732054     Source Type: Journal    
DOI: 10.1016/j.healthplace.2012.01.008     Document Type: Article

References (38)

1. Adler A., Mounier-Jack S., et al. Late diagnosis of HIV in Europe: definitional and public health challenges. AIDS care 21 2009, 3:284-293.
2. Bithell J.F. A classification of disease mapping methods. Statistics in Medicine 2000, 19(17-18):2203-2215.
3. Boscoe F., Pickle L. Choosing geographic units for choropleth rate maps, with an emphasis on public health applications. Cartography and Geographic Information Science 2003, 30(3):237-249.
4. Branson, B., H. Handsfield, et al., 2006. Centers for Disease Control and Prevention (CDC). Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recommendations and Reports 55(RR-14): 1-17.
5. Carlos H.A., Shi X., et al. Density estimation and adaptive bandwidths: A primer for public health practitioners. International Journal of Health Geographics 2010, 9(1):39.
6. Centers for Disease Control and Prevention, 2003. Advancing HIV Prevention: New Strategies for a Changing Epidemic-United States, 2003. MMWR Morbidity and Mortality Weekly Report 52(15): 329-332.
7. Centers for Disease Control and Prevention, 2005. HIV prevalence, unrecognized infection, and HIV testing among men who have sex with men-five U.S. cities, June 2004-April 2005. MMWR Morbidity and Mortality Weekly Report 54(24): 597-601.
8. Centers for Disease Control and Prevention, 2008. Persons Tested for HIV-United States, 2006. MMWR Morbidity and Mortality Weekly Report 57(31): 845-849.
9. Centers for Disease Control and Prevention, 2009. Late HIV Testing-34 States, 1996-2005. MMWR MMWR Morbidity and Mortality Weekly Report 58(24) 661-665.
10. Centers for Disease Control and Prevention, 2010. Diagnoses of HIV infection and AIDS in the United States and Dependent Areas, 2008, 20.
11. Clayton D., Kaldor J. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 1987, 671-681.
12. Cohen M.S., Hellmann N., et al. The spread, treatment, and prevention of HIV-1: evolution of a global pandemic. Journal of Clinical Investigation 2008, 118(4):1244-1254.
13. Crepaz N., Marks G., et al. Prevalence of unprotected anal intercourse among HIV-diagnosed MSM in the United States: a meta-analysis. Aids 2009, 23(13):1617-1629.
14. Crepaz N., Marshall K.J., et al. The Efficacy of HIV/STI Behavioral Interventions for African American Females in the United States: A Meta-Analysis. American Journal of Public Health 2009, 99(11):2069-2078.
15. Cromley E., McLafferty S. GIS and public health 2002, The Guilford Press, New York.
16. Egger M., May M., et al. Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies. Lancet 2002, 360(9327):119-129.
17. Gallant J.E. Initial therapy of HIV infection. Journal of Clinical Virology 2002, 25(3):317-333.
18. Girardi E., Sabin C.A., et al. Late diagnosis of HIV infection: Epidemiological features, consequences and strategies to encourage earlier testing. Jaids-Journal of Acquired Immune Deficiency Syndromes 2007, 46:S3-S8.
19. Jones K., Kirby A. The use of chi-square maps in the analysis of census data. Geoforum 1980, 11(4):409-417.
20. MacKellar D.A., Valleroy L.A., et al. Perceptions of lifetime risk and actual risk for acquiring HIV among young men who have sex with men. Aids and Behavior 2007, 11(2):263-270.
21. Marks G., Crepaz N., et al. Estimating sexual transmission of HIV from persons aware and unaware that they are infected with the virus in the USA. Aids 2006, 20(10):1447-1450.
22. Moonan P., Bayona M., et al. Using GIS technology to identify areas of tuberculosis transmission and incidence. International Journal of Health Geographics 2004, 3(1):23.
23. Moonan P.K., Oppong J., et al. What is the outcome of targeted tuberculosis screening based on universal genotyping and location?. American Journal of Respiratory and Critical Care Medicine 2006, 174(5):599-604.
24. Mungiole M., Pickle L., et al. Application of a weighted head-banging algorithm to mortality data maps. Statistics in Medicine 1999, 18(23):3201-3209.
25. Oppong J.R., Denton C.J., et al. Foreign born status and geographic patterns of tuberculosis genotypes in Tarrant County, Texas. The Professional Geographer 2007, 59(4):478-491.
26. Rapatski B.L., Suppe F., et al. HIV epidemics driven by late disease stage transmission. Jaids-Journal of Acquired Immune Deficiency Syndromes 2005, 38(3):241-253.
27. Reves R. Universal genotyping as a tool for establishing successful partnerships for tuberculosis elimination. American Journal of Respiratory and Critical Care Medicine 2006, 174(5):491-492.
28. Rushton G. Public health, GIS, and spatial analytic tools. Annual Review of Public Health 2003, 24(1):43-56.
29. Rushton G., Lolonis P. Exploratory spatial analysis of birth defect rates in an urban population. Statistics in Medicine 1996, 15(7-9):717-726.
30. Shi X. A geocomputational process for characterizing the spatial pattern of lung cancer incidence in New Hampshire. Annals of the Association of American Geographers 2009, 99(3):521-533.
31. Shi X. Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds. International Journal of Geographical Information Science 2010, 24(5):643-660.
32. Silverman B.W. Density estimation for statistics and data analysis 1986, Chapman & Hall/CRC.
33. Talbot T., Kulldorff M., et al. Evaluation of spatial filters to create smoothed maps of health data. Statistics in Medicine 2000, 19(17-18):2399-2408.
34. Texas Department of State Health Services, 2010 Texas Integrated Epidemiologic Profile for HIV/AIDS Prevention and Services Planning. Available at: . (accessed 1.12. 11.). http://www.dshs.state.tx.us/hivstd/reports/HIVandAIDSinTexas.pdf.
35. Tiwari C., Rushton G. Using spatially adaptive filters to map late stage colorectal cancer incidence in Iowa. Developments in spatial data handling 2005, 665-676.
36. Tiwari C., Rushton G. A Spatial Analysis System for Integrating Data, Methods and Models on Environmental Risks and Health Outcomes. Transactions in GIS 2010, 14:177-195.
37. Yiannakoulias N. Spatial aberration vs. geographical substance: representing place in public health surveillance. Health and Place 2011, 17(6):1242-1248.
38. Valdiserri R.O., Janssen R.S., et al. The context of HIV/AIDS surveillance. Journal of Acquired Immune Deficiency Syndromes 2000, 25:S97-S104.