2001
DOI: 10.1097/00002030-200109070-00016
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Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa

Abstract: Few factors influenced the difference in HIV prevalence between ANC and the population, which could aid the development of adjustment procedures to estimate population HIV prevalence. However, the differences between cities were considerable, making standard adjustments difficult. The method of estimating male HIV prevalence should be tested in other sites.

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Cited by 68 publications
(53 citation statements)
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“…13 The data are presented in a spreadsheet, available from the author. I draw on antenatal/community comparisons for 12 regions in Cameroon, Kenya, Malawi, Tanzania, Uganda and Zambia as reported in the medical studies of Changalucha et al (2002), Crampin et al (2003), Fylkesnes et al (1998Fylkesnes et al ( , 2001, Glynn et al (2001), Gregson et al (2002), Kigadye et al (1993), andKillian et al (1999). I also match the DHS microdata on HIV infection rates for Ghana 2003 and Zambia 2001/02 to regional urban and rural antenatal surveillance surveys for the same years (as reported in the Census Bureau's HIV Surveillance Data Base) to produce another 37 regions.…”
Section: Census Bureau Uses the 2003 Unaids/who Estimation And Projecmentioning
confidence: 99%
“…13 The data are presented in a spreadsheet, available from the author. I draw on antenatal/community comparisons for 12 regions in Cameroon, Kenya, Malawi, Tanzania, Uganda and Zambia as reported in the medical studies of Changalucha et al (2002), Crampin et al (2003), Fylkesnes et al (1998Fylkesnes et al ( , 2001, Glynn et al (2001), Gregson et al (2002), Kigadye et al (1993), andKillian et al (1999). I also match the DHS microdata on HIV infection rates for Ghana 2003 and Zambia 2001/02 to regional urban and rural antenatal surveillance surveys for the same years (as reported in the Census Bureau's HIV Surveillance Data Base) to produce another 37 regions.…”
Section: Census Bureau Uses the 2003 Unaids/who Estimation And Projecmentioning
confidence: 99%
“…Prevalence rates were nearly twice as high for females than males (8.7% for females and 4.6% for males), with urban rates much higher (7.5% for males and 12.3% for females) than rural rates (3.7% for males and 7.5% for females) (ORC Macro, 2005). The HIV prevalence among women attending prenatal clinics in Nairobi also increased from three percent in 1987, to 16 percent in 1995, before decreasing to 14 percent in 1999 and remaining at that level in 2001(UNAIDS, 2004. With a cure or vaccine for HIV not yet in sight, behavioral prevention mechanisms remain the only way to combat the epidemic (World Bank, 1997).…”
Section: Hiv Levels In Kenyamentioning
confidence: 99%
“…Young females in Kenya have higher levels of infection than do their male age mates (Glynn, Buve, Carael, Musonda, Kahinda, Macauley et al, 2001;ORC Macro, 2005). Lesser control over sexual relations, reproductive tracts that are more susceptible to infection than men's, and patterns of sexual networking all contribute to the higher infection rate for women (Ankrah, 1991;UNAIDS, 1999).…”
Section: Hiv Levels In Kenyamentioning
confidence: 99%
“…[1][2][3][4][5] Increased funding combined with effective interventions, such as nevirapine for the prevention of mother-to-child transmission (PMTCT) 6,7 and voluntary counseling and testing (VCT), 8,9 should result in widespread utilization of these interventions. As access to PMTCT services grows, the feasibility and ethics of collecting anonymous antenatal clinic (ANC) data for HIV surveillance are being questioned.…”
mentioning
confidence: 99%
“…14 Although routine data from sources outside sentinel surveillance sites have been used elsewhere to monitor the epidemic, 18 the usefulness of the increasing volume of VCT programmatic data from sub-Saharan Africa and elsewhere has not been explored. 9,19,20 In addition to its potential utility for internal monitoring of VCT programs, VCT data may have distinct advantages that complement ANC surveillance data.…”
mentioning
confidence: 99%