| Literature DB >> 18183292 |
Jairam R Lingappa1, Barrot Lambdin, Elizabeth Ann Bukusi, Kenneth Ngure, Linda Kavuma, Mubiana Inambao, William Kanweka, Susan Allen, James N Kiarie, Joseph Makhema, Edwin Were, Rachel Manongi, David Coetzee, Guy de Bruyn, Sinead Delany-Moretlwe, Amalia Magaret, Nelly Mugo, Andrew Mujugira, Patrick Ndase, Connie Celum.
Abstract
BACKGROUND: Most HIV-1 transmission in Africa occurs among HIV-1-discordant couples (one partner HIV-1 infected and one uninfected) who are unaware of their discordant HIV-1 serostatus. Given the high HIV-1 incidence among HIV-1 discordant couples and to assess efficacy of interventions for reducing HIV-1 transmission, HIV-1 discordant couples represent a critical target population for HIV-1 prevention interventions and prevention trials. Substantial regional differences exist in HIV-1 prevalence in Africa, but regional differences in HIV-1 discordance among African couples, has not previously been reported. METHODOLOGY/PRINCIPALEntities:
Mesh:
Year: 2008 PMID: 18183292 PMCID: PMC2156103 DOI: 10.1371/journal.pone.0001411
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
PreScreening Data and Other Characteristics of Partners HSV-2 Study Sites
| Country | Site | Local Pop | HIV-1 Prevalence (%) | Couples Tested | HIV-1 Testing Results | HIV-1 Discordance Prevalence (% Couples Tested) | National HIV-1 Response Index (NHRI) | Partners HSV-2 Study Monthly Enrollment | |||
| Site | Country | Discordant | Concordant | ||||||||
| Positive | Negative | ||||||||||
|
| Nairobi | 4,000,000 | 9.9 | 6.1 | 624 | 84 (13) | 49 (8) | 491 (79) | 13.6 | 0.81 | 15.9 |
| Kisumu | 320,000 | 15 | 3237 | 500 (15) | 698 (22) | 2039 (63) | |||||
| Thika | 448,000 | 6–9 | 751 | 64 (9) | 23 (3) | 664 (88) | |||||
| Eldoret | 450,000 | 6–9 | 383 | 29 (8) | 40 (10) | 314 (82) | |||||
|
| Kampala | 1,200,000 | 13 | 6.7 | 2079 | 181 (9) | 183 (9) | 1715 (82) | 8.7 | 1.29 | 17.3 |
|
| Moshi/Arusha | 145,000 | 9.6 | 6.5 | 477 | 56 (12) | 10 (2) | 411 (86) | 11.7 | 0.57 | 9.3 |
|
| Soweto | 1,200,000 | 30 | 18.8 | 286 | 66 (23) | 62 (22) | 158 (55) | 27.4 | 0.36 | 8.2 |
| Orange Farm | 500,000 | 30 | 525 | 145 (28) | 89 (17) | 290 (55) | |||||
| Gugulethu | 340,000 | 27 | 315 | 97 (31) | 55 (17) | 163 (52) | |||||
|
| Ndola | 636,000 | 20 | 17 | 2241 | 271 (12) | 474 (21) | 1496 (67) | 14.2 | 0.29 | 12.5 |
| Kitwe | 675,000 | 20 | 2827 | 450 (16) | 628 (22) | 1749 (62) | |||||
|
| Gaborone | 208,000 | 24 | 24.1 | 2589 | 522 (20) | 241(9) | 1826 (71) | 20.1 | 1.04 | 12.8 |
2004 or 2005 census data.
From PEPFAR (http//www.pepfar.gov/): “National HIV-1 prevalence among adults aged 15–49” for each country listed.
Clinical trial recruitment also extended to outlying districts with total population of 0.75–1.5 million persons.
Source of HIV-1 prevalence data: Kenya-reference [23]; Uganda–reference [7]; Tanzania–reference [24]; S. Africa–reference [25]; Zambia–reference [26]; Botswana–reference [27].
-Total number of couples receiving HIV counseling and testing during previously defined recruitment periods: July 2005–April 2006 (Ndola and Kitwe, Zambia) and December 2006–April 2007 (all other Partners HSV-2 Study sites).
-NHRI calculated from PEPFAR data (http//www.pepfar.gov/) as: (“# individuals receiving counseling and testing in settings other than PMTCT in FY2006”+“# HIV-1 infected individuals receiving palliative care/basic health care and support in FY2006 (including HIV-1/TB)”)/“Adults and children (age 0–49) living with HIV-1 at the end of 2005”.