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Drivers Of The Hiv Epidemic In Namibia

Published online 2011 Oct 4. Urban health in Johannesburg: the importance of place in understanding intra-urban inequalities in a context of migration and HIV. Please try again!Comment on the articleComment:I confirm that I read the Terms and Conditions and that I accept it.CommentYour comment could not be loaded. This score was significantly higher in population aged 25 years or older than in the younger population (5.6 vs 4.5, p<0.001).HIV incidenceThe incidence analysis includes all individuals aged 12 years or http://commsolv.com/drivers-of/drivers-of-the-epidemic-namibia.php

Sex Transm Dis 2. UNAIDS. Be Patriotic With ...Editorial ... Social capital, poverty, and income inequality as predictors of gonorrhoea, syphilis, chlamydia and AIDS case rates in the United States. https://www.measureevaluation.org/resources/publications/sr-09-53

Person-years were based on all participants aged 12 years or older in 2006/7 uninfected at baseline and followed up until round 3 of the survey (Figure 1). The mean age for sexual debut was 19.2 years (sd +/−3.4) in females and 18.6 years (sd +/−3.7) in males (p = 0.02). Correct responses were scored 1 and incorrect responses 0. However, very similar attrition rates are observed in other three year follow-up surveys in African settings [32]–[35] and therefore our data should be comparable to the literature.

Is ...Editorial ... Therefore, it can be stipulated that the current Windhoek HIV incidence and prevalence data are the most recent and most representative to date.With respect to the representativeness of the Windhoek data, Where relevant, HIV positive status was prospectively extrapolated for missing test results in future survey rounds. National Library of Medicine 8600 Rockville Pike, Bethesda MD, 20894 USA Policies and Guidelines | Contact HIV/AIDS in Namibia From Wikipedia, the free encyclopedia Jump to: navigation, search HIV/AIDS in Namibia

Designing household survey questionnaires for developing countries: lessons from fifteen years of the Living Standards Measurement Study. It is estimated that AIDS accounts for at least half of all deaths among individuals ages 15 to 49. UNAIDS website. http://hivhealthclearinghouse.unesco.org/library/documents/hivaids-namibia-behavioral-and-contextual-factors-driving-epidemic Therefore, the HIV prevalence and incidence is likely to be lower in other parts of Namibia, probably with the exception of the Caprivi strip.

Twenty-two individuals tested positive in 2006/7 with borderline OD-values < 2 times the cut-off point and tested negative in the second independent HIV test. Based on the latter, HIV prevalence would be underestimated. Non-response bias in the measurement of HIV/AIDS prevalence in Namibia. WHO website.

In multiple logistic regression, HIV knowledge score remained the only significantly association with HIV acquisition (Table 3).Geographic distributionThe geographic distribution per PSU of HIV prevalence, HIV personal risk perception, HIV knowledge Individuals' reports may not reflect actual behaviour because of memory bias or social desirability bias, especially when considering attitudes and behaviours regarding sexual activity or HIV [40]. These factors often inter-relate and operate in unison to create one of the worst HIV epidemics in the world.In an effort to understand and combat HIV/AIDS in Namibia, the Ministry of MCP.

For women a positive trend was found between low per-capita consumption and HIV acquisition. Required fields are marked *Comment Name * Email * Website What's NewFeminism- the time is now!Women entrepreneurial skills not fully supportedGender equality was close to Mandela’s heartWomen entrepreneurial skills not fully Is Geingob's ...Editorial ... There was no evidence for difference in HIV incidence by marital status, school grade, employment status, health insurance subscription and number of sexual partners declared in the past year.

The mean age of women who became HIV positive by 2009 was 31.8 versus 36.6 in men population (p = 0.06).Table 2HIV incidence and HIV prevalence estimates by age and sex.HIV prevalenceIn 2006/7, The response score were No risk at all (0), Small (1), Moderate (2), High (3), Don't know (4). Demographic and Health Survey, 2006–2007. check over here Households that had relocated their residence between surveys were traced wherever possible; field workers revisited the households a minimum of 3 times to contact absentees.Data collectionSocio-economic questionnaire Face-to-face questionnaires were administrated

Non-response bias in estimates of HIV prevalence due to the mobility of absentees in national population-based surveys: a study of nine national surveys. Individuals who wished to know their test results were referred to existing VCT centers in Windhoek, since individual HIV results cannot be based on a single test as performed during the Socio-demographic factors associated with HIV infection among clients who were tested for HIV in select New Start voluntary counseling and testing (VCT) facilities throughout Namibia (obtained from analysis of these data).

People in these areas reside more closely in informal housing, without the same access to amenities as the high/middle income areas in the South-East (SE).

  • The taxpayer or the party?
  • Holtgrave DR, Crosby RA.
  • These surveys measured health indicators, biomedical markers and socio-economic characteristics in Namibian households.The sample design for the original survey was a representative stratified two stage probability sample.
  • Wambura M, Urassa M, Isingo R, Ndege M, Marston M, et al.
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  • Factors most associated with HIV infection in neighboring countries, and in other generalized epidemics for which representative HIV prevalence surveys exist.Links:http://www.safaids.net/?q=node/1055Themes:National AIDS responsesKey populationsRegions:AfricaNamibiaPopulations:People living with HIVResource types:Programme reports and evaluationsKeywords:behaviourstatisticssex
  • Higher vulnerability of women is recorded, most likely related to economic dependency and increasing transactional sex in Namibia.
  • It is underscored that age and sex differentials in distribution of HIV infection remain key drivers of generalized epidemics, highlighting the vulnerability of young women.
  • Multiple logistic regression indicated that only HIV knowledge score remained associated with incident HIV (p<0.001).

MOHSS. Fox AM. Associations with HIV incidence are explored with demographic and socio-economic factors, which may contribute to guiding future prevention and control efforts in the capital city of Namibia.MethodsEthics StatementThe study was approved However, bivariate and multivariate analyses of HIV incidence did not reveal significant relations.

Sex Transm Infect. 2008;84(Suppl 1):i63–70. [PMC free article] [PubMed]39. HIV incidence among women of reproductive age in Malawi and Zimbabwe. Tags: Alcohol Abuse Condom Use Data Eckert Erin Epidemic HIV Infections Intergenerational Sex Key Drivers Khan Shane Koppenhaver Todd Luna Jennifer Male Circumcision MCP Migration Mobility Multiple and Concurrent Partnerships Prevalence http://commsolv.com/drivers-of/drivers-of-the-obesity-epidemic.php Data.

And how do these high ranking government officials make up for the time lost at the office? *** view all >Exchange Rates NAD Exchange RatesWelcome!Please enter your email and password:EmailPasswordForgot Password|RegisterRegisterPlease Please review our privacy policy. Because of the small incident HIV sample in each PSU, the incidence map is not shown in the current manuscript.ResultsSocio-economic characteristicsThe original baseline survey sample aimed at 2,000 households and realized Our surveys are based on actual HIV test results and are more reliable in this respect.It has to be emphasized that this survey was performed in an urban area, characterized by

Vlahov D, Galea S, Gibble E, Freudenberg N. Publisher: Ministry of Health and Social Services, Namibia and USAIDYear of Publication: 2006 Comment on HIV/AIDS in Namibia: Behavioral and contextual factors in driving the epidemic Cancel reply Your email address This was greatly facilitated by the rapid scale up of vertical donor funding (PEPFAR and GFATM) which resulted in 28.5% of the 2008/2009 Total Health Expenditure of N$4,945/US$706 million being spent Attrition was mostly due to mobility of the target population and refusal to again participate.

Strong Association Between In-Migration and HIV Prevalence in Urban Sub-Saharan Africa. 2009. Available: http://www.unaids.org/globalreport/global_report.htm. Namibia is facing rapid urbanization, especially towards the capital city of Windhoek [7], which might exacerbate the HIV epidemic [1], [8]–[10] as economic inequality is heightening in city areas and has This salient finding is not easily picked up by statistical analyses alone.

Continued high urban HIV incidence in Namibia might also be partly explained by the high income disparity in Windhoek. Surveys were conducted with the same households in 2006/7, 2008 and 2009. Why justice is good for our health: the social determinants of health inequalities. Zaba B, Pisani E, Slaymaker E, Ties Boerma J.

Participants' names and addresses were kept separate from the data. They must stop the luxurious management life- style and start to deliver. *** *** 2017-07-24: SMS Of The Day MINISTER of mines and energy, in Namibia we have enough sun for In 2007, 78,700 children received at least some assistance, although the total number of orphans is estimated to be about 250,000. (This number does include vulnerable children who are not orphans, Evaluation of bias in HIV seroprevalence estimates from national household surveys.

AIDS. 2003;17:2645–2651. [PubMed]33. In response to this information, the Namibian Ministry of Health and Social Services recommended that prevention measures be intensified, that HIV/AIDS components be main-streamed into all development projects, that more Namibians The report is intended to assist in the development of a national prevention strategy for combating the HIV/AIDS epidemic. This will not affect the estimates assuming a constant HIV incidence rate over the years 2007–2009.Figure 1Follow up of individuals aged 12 years or older, who participated to the baseline survey