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      Geospatial analysis of HIV-Related social stigma: A study of tested females across mandals of Andhra Pradesh in India

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          Abstract

          Background

          In Geographical Information Systems issues of scale are of an increasing interest in storing health data and using these in policy support. National and international policies on treating HIV (Human Immunodeficiency Virus) positive women in India are based on case counts at Voluntary Counseling and Testing Centers (VCTCs). In this study, carried out in the Indian state of Andhra Pradesh, these centers are located in subdistricts called mandals, serving for both registration and health facility policies. This study hypothesizes that people may move to a mandal different than their place of residence for being tested for reasons of stigma. Counts of a single mandal therefore may include cases from inside and outside a mandal. HIV counts were analyzed on the presence of outside cases and the most likely explanations for movement. Counts of women being tested on a practitioners' referral ( REFs) and those directly walking-in at testing centers ( DWs) were compared and with counts of pregnant women.

          Results

          At the mandal level incidence among REFs is on the average higher than among DWs. For both groups incidence is higher in the South-Eastern coastal zones, being an area with a dense highway network and active port business. A pattern on the incidence maps was statistically confirmed by a cluster analysis. A spatial regression analysis to explain the differences in incidence among pregnant women and REFs shows a negative relation with the number of facilities and a positive relation with the number of roads in a mandal. Differences in incidence among pregnant women and DWs are explained by the same variables, and by a negative relation with the number of neighboring mandals. Based on the assumption that pregnant women are tested in their home mandal, this provides a clear indication that women move for testing as well as clues for explanations why.

          Conclusions

          The spatial analysis shows that women in India move towards a different mandal for getting tested on HIV. Given the scale of study and different types of movements involved, it is difficult to say where they move to and what the precise effect is on HIV registration. Better recording the addresses of tested women may help to relate HIV incidence to population present within a mandal. This in turn may lead to a better incidence count and therefore add to more reliable policy making, e.g. for locating or expanding health facilities.

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          Most cited references9

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          Trends in HIV-1 in young adults in south India from 2000 to 2004: a prevalence study.

          Major increases in HIV-1 prevalence in India have been predicted. Incident infections need to be tracked to understand the epidemic's course, especially in some southern states of India where the epidemic is more advanced. To estimate incidence, we investigated the prevalence of HIV-1 in young people attending antenatal and sexually transmitted infection (STI) clinics in India. We analysed unlinked, anonymous HIV-1 prevalence data from 294 050 women attending 216 antenatal clinics and 58 790 men attending 132 STI clinics in 2000-04. Southern and northern states were analysed separately. The age-standardised HIV-1 prevalence in women aged 15-24 years in southern states fell from 1.7% to 1.1% in 2000-04 (relative reduction 35%; p(trend)<0.0001, yearly reduction 11%), but did not fall significantly in women aged 25-34 years. Reductions in women aged 15-24 years were seen in key demographic groups and were similar in sites tested continuously or in all sites. Prevalence in the north was about a fifth of that in the south, with no significant decreases (or increases) in 2000-04. Prevalence fell in men aged 20-29 years attending STI clinics in the south (p(trend)<0.0001), including those with ulcerative STIs (p(trend)=0.0008), but reductions were more modest in their northern counterparts. A reduction of more than a third in HIV-1 prevalence in 2000-04 in young women in south India seems realistic, and is not easily attributable to bias or to mortality. This fall is probably due to rising condom use by men and female sex workers in south India, and thus reduced transmission to wives. Expansion of peer-based condom and education programmes for sex workers remains a top priority to control HIV-1 in India.
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            Social and cognitive variables predicting voluntary HIV counseling and testing among Tanzanian medical students.

            The present study aimed to predict Tanzanian medical students' Voluntary Counseling and Testing (VCT) participation intention using the Health Belief Model (HBM) as a theoretical framework. Further, differences between respondents who had previously participated in VCT and respondents who had not were assessed. Cross-sectional data were gathered from 186 Tanzanian medical students using a self-administered questionnaire. Almost half of the respondents (43.3%) reported having been tested for HIV. A prediction model containing HBM and demographic variables explained 31% of the variance in VCT-participation intention. Self-efficacy, fear of being HIV-positive, and perceived susceptibility contributed significantly to the final regression model. In addition, respondents who had previously participated in VCT expressed less fear of being stigmatized and being HIV-positive than respondents who had not. Fear of being HIV-positive, self-efficacy, perceived susceptibility and fear of being stigmatized were associated with either VCT-participation intention or previous participation. Further, the HBM accounted for a limited proportion of the explained variance in Tanzanian students' intention to participate in VCT. This suggests that the validity of the HBM in explaining HIV-preventive behavior in Sub-Saharan Africa should be questioned. Interventions promoting VCT should incorporate program elements targeting self-efficacy, fear of being HIV-positive, perceived susceptibility and fear of being stigmatized.
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              Improved estimates of India's HIV burden in 2006.

              HIV estimates in India were based on HIV sentinel surveillance (HSS) data and several assumptions. Expansion of sentinel surveillance to all districts and community based HIV prevalence measured by National Family Health Survey-3 (NFHS-3) in 2006 provided opportunity to replace many of the assumptions with evidence based information and improve the HIV estimate closer to reality. This article presents a detailed account of the methodology used for the 2006 HIV burden estimates for India. State-wise adult HIV prevalence among different risk groups observed from HSS 2006 was adjusted for site level variations using a random effects model and for the previous four years the same was back calculated using trend equations derived from a mixed effects logistic regression model based on consistent sites prevalence. The adjusted HIV prevalence among the general population was calibrated to the estimates from NFHS-3. Overall point estimates of adult HIV prevalence in each State for 2002-2006 were derived from the UNAIDS Workbook and projected for the period 1985-2010. The results were put into Spectrum to derive estimates of the number of people living with HIV in all ages and other epidemic impacts. National adult HIV prevalence was 0.36 per cent (range 0.29-0.46%) and the estimated number of people living with HIV was 2.47 million (range 2.0-3.1 million) in 2006. The national adult HIV prevalence remains stable around 0.4 per cent between 2002 and 2006. The States with the highest estimated prevalence were Manipur, Nagaland and Andhra Pradesh. The States with the highest burden were Andhra Pradesh, Maharashtra, Karnataka and Tamil Nadu. The improvement in the 2006 estimates of the HIV burden in India is attributable to the expanded sentinel surveillance and representative data from the population-based survey in 2006, combined with an improved analysis. Despite the downward revision, India continues to face a formidable challenge to provide prevention, treatment and care to those in need.
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                Author and article information

                Journal
                Int J Health Geogr
                International Journal of Health Geographics
                BioMed Central
                1476-072X
                2010
                12 April 2010
                : 9
                : 18
                Affiliations
                [1 ]Indian Institute of Technology IIT, Roorkee, Roorkee-247667, India
                [2 ]ITC International Institute for GeoInformation Science and Earth Observation, Hengelosestraat 99, P.O. Box 6, 7500 AA Enschede, the Netherlands
                Article
                1476-072X-9-18
                10.1186/1476-072X-9-18
                2873567
                20380749
                40d0367e-b7af-4f04-9e89-85c5fa1380e2
                Copyright ©2010 Kandwal et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 December 2009
                : 12 April 2010
                Categories
                Research

                Public health
                Public health

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