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      The influence of mobility among high-risk populations on HIV transmission in Western Kenya

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          Abstract

          Western Kenya suffers a highly endemic and also very heterogeneous epidemic of human immunodeficiency virus (HIV). Although female sex workers (FSW) and their male clients are known to be at high risk for HIV, HIV prevalence across regions in Western Kenya is not strongly correlated with the fraction of women engaged in commercial sex. An agent-based network model of HIV transmission, geographically stratified at the county level, was fit to the HIV epidemic, scale-up of interventions, and populations of FSW in Western Kenya under two assumptions about the potential mobility of FSW clients. In the first, all clients were assumed to be resident in the same geographies as their interactions with FSW. In the second, some clients were considered non-resident and engaged only in interactions with FSW, but not in longer-term non-FSW partnerships in these geographies. Under both assumptions, the model successfully reconciled disparate geographic patterns of FSW and HIV prevalence. Transmission patterns in the model suggest a greater role for FSW in local transmission when clients were resident to the counties, with 30.0% of local HIV transmissions attributable to current and former FSW and clients, compared to 21.9% when mobility of clients was included. Nonetheless, the overall epidemic drivers remained similar, with risky behavior in the general population dominating transmission in high-prevalence counties. Our modeling suggests that co-location of high-risk populations and generalized epidemics can further amplify the spread of HIV, but that large numbers of formal FSW and clients are not required to observe or mechanistically explain high HIV prevalence in the general population.

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          HIV Infection in Fishing Communities of Lake Victoria Basin of Uganda – A Cross-Sectional Sero-Behavioral Survey

          Background Uganda's first AIDS case was reported in a fishing village. Thereafter, due to varying risk factors, the epidemic spread heterogeneously to all regions, with some populations more affected. Given the recent rising trends in HIV infection in Uganda, it is crucial to know the risk factors in different populations. The aim of this study was to determine the prevalence and risk factors of HIV infection among fishing communities. Methodology A cross-sectional survey of 46 fishing communities was conducted in 2010. Following written consent, 911 randomly selected respondents age 15–59 years were interviewed and gave blood for HIV testing. HIV testing was conducted in the field and central laboratory according to national algorithm. Survey protocol was approved by the Science and Ethics Committee of Uganda Virus Research Institute, and cleared by Uganda National Council for Science and Technology. Data was captured by EPIINFO and statistical analysis done in SPSS. Findings Overall HIV prevalence was 22%; there was no difference by sex (x 2 test, p>0.05). Association with HIV infection was determined by x 2 test, p<0.5. Never married respondents had lower HIV prevalence (6.2%) than the ever married (24.1%). HIV prevalence was lower in younger respondents, age 15–24 years (10.8%) than in age group 25 years and above (26.1%). Muslims had lower HIV prevalence (14.4%) than Christians (25.2%). HIV prevalence was higher among respondents reporting 3 or more lifetime sexual partners (25.3%) than in those reporting less numbers (10.8%). HIV prevalence was higher among uncircumcised men (27%) than in circumcised men (11%). Multivariate analysis identified 4 risk factors for HIV infection; age, religion, ever condom use and number of lifetime sexual partners. Conclusions HIV prevalence in the surveyed communities was three times higher than of general population. This underscores the need for tailor made HIV combination prevention interventions targeting fishing communities.
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            What is the impact of home-based HIV counseling and testing on the clinical status of newly enrolled adults in a large HIV care program in Western Kenya?

            This article describes the effect point of entry into the human immunodeficiency virus (HIV) care program had on the clinical status of adults presenting for the first time to USAID-AMPATH (US Agency for International Development-Academic Model Providing Access to Healthcare) Partnership clinics for HIV care. All patients aged ≥ 14 years enrolled between August 2008 and April 2010 were included. Points of entry to USAID-AMPATH clinics were home-based counseling and testing (HBCT), provider-initiated testing and counseling (PITC), HIV testing in the tuberculosis clinic, and voluntary counseling and testing (VCT). Tests for trend were calculated, and multivariable logistic regression was used to compare the effect of HBCT versus other points of entry on primary outcomes controlling for age and sex. There were 19,552 eligible individuals. Of these, 946 tested in HBCT, 10,261 in VCT, 8073 in PITC, and 272 in the tuberculosis clinic. The median (interquartile range) enrollment CD4 cell counts among those who tested HIV positive was 323 (194-491), 217 (87-404), 190 (70-371), and 136 cells/mm(3) (59-266) for HBCT, VCT, PITC, and the tuberculosis clinic, respectively (P < .001). Compared with those patients whose HIV infection was diagnosed in the tuberculosis clinic, those who tested positive in HBCT were, controlling for age and sex, less likely to have to have World Health Organization stage III or IV HIV infection at enrollment (adjusted odds ratio [AOR], 0.04; 95% confidence interval [CI], .03-.06), less likely to enroll with a CD4 cell count of <200 cells/mm(3) (AOR, 0.20; 95% CI, .14-.28), and less likely to enroll into care with a chief complaint (AOR, 0.08; 95% CI, .05-.12). HBCT is effective at getting HIV-infected persons enrolled in HIV care before they become ill.
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              Prevalence of HIV, sexually transmitted infections, and risk behaviours among female sex workers in Nairobi, Kenya: results of a respondent driven sampling study.

              We conducted a respondent driven sampling survey to estimate HIV prevalence and risk behavior among female sex workers (FSWs) in Nairobi, Kenya. Women aged 18 years and older who reported selling sex to a man at least once in the past 3 months were eligible to participate. Consenting FSWs completed a behavioral questionnaire and were tested for HIV and sexually transmitted infections (STIs). Adjusted population-based prevalence and 95 % confidence intervals (CI) were estimated using RDS analysis tool. Factors significantly associated with HIV infection were assessed using log-binomial regression analysis. A total of 596 eligible participants were included in the analysis. Overall HIV prevalence was 29.5 % (95 % CI 24.7-34.9). Median age was 30 years (IQR 25-38 years); median duration of sex work was 12 years (IQR 8-17 years). The most frequent client-seeking venues were bars (76.6 %) and roadsides (29.3 %). The median number of clients per week was seven (IQR 4-18 clients). HIV testing was high with 86.6 % reported ever been tested for HIV and, of these, 63.1 % testing within the past 12 months. Of all women, 59.7 % perceived themselves at 'great risk' for HIV infection. Of HIV-positive women, 51.0 % were aware of their infection. In multivariable analysis, increasing age, inconsistent condom use with paying clients, and use of a male condom as a method of contraception were independently associated with unrecognized HIV infection. Prevalence among STIs was low, ranging from 0.9 % for syphilis, 1.1 % for gonorrhea, and 3.1 % for Chlamydia. The data suggest high prevalence of HIV among FSWs in Nairobi. Targeted and routine HIV and STI combination prevention strategies need to be scaled up or established to meet the needs of this population.
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                Author and article information

                Contributors
                Journal
                Infect Dis Model
                Infect Dis Model
                Infectious Disease Modelling
                KeAi Publishing
                2468-2152
                2468-0427
                23 April 2018
                2018
                23 April 2018
                : 3
                : 97-106
                Affiliations
                [a ]Institute for Disease Modeling, 3150 139 th Ave. SE, Bellevue, WA 98005, USA
                [b ]National Aids Control Council, P.O. Box 61307-00200, Argwings Kodhek Rd, Nairobi, Kenya
                [c ]Department of Medicine, University of California and San Francisco, Zuckerberg San Francisco General Hospital, 1001 Potrero Avenue, San Francisco, CA 94110, USA
                [d ]Centers for Disease Control and Prevention, PO Box 606, Village Market, Nairobi, 00621, Kenya
                Author notes
                []Corresponding author. abershteyn@ 123456idmod.org
                Article
                S2468-0427(17)30053-2
                10.1016/j.idm.2018.04.001
                6326217
                30839863
                132f273a-96df-4118-9fce-3103e0738934
                © 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 27 September 2017
                : 9 April 2018
                : 10 April 2018
                Categories
                Original Research Article

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