88 research outputs found

    Quantitative data on Linkage to HIV care in Mbeya Tanzania

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    Data collected from newly diagnosed HIV individuals with regards to Linkage to HIV care with in the first six months of HIV testing either at the facility-based or mobile/outreach HIV testing site in the rural settings of Mbeya region in Tanzania.The interviews were administered during enrollment (round one), then at three months(round two) and last interview at six months( round three)since diagnosis

    Cervicovaginal HIV-1 and HSV viral load in 35 women during the clinical and subclinical stages of herpes.

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    <p>Analyses restricted to women with samples in both the clinical and the subclinical groups.</p>1<p>p-value from matched pairs chi-squared test.</p>2<p>p-value from matched pairs t-test on logged values.</p>3<p>Geometric mean in copies/ml (HIV RNA and HSV DNA) or copies/10<sup>6</sup> cells (HIV DNA), excluding data below the minimum detectable threshold at half the detectable level.</p>4<p>Six women did not have HIV DNA samples tested (five with clinical herpes, and one with subclinical herpes) and are excluding from this comparison.</p

    HIV-Testing Algorithm and Exclusion criteria Survey 1.

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    <p>In Survey 1 we tested 1,889 whole blood specimen and 14,448 plasma specimen with the Determine HIV1/2 RDT. The confirmation algorithm included two different ELISAs and one Western Blot. If both ELISAs were in agreement their result was used as the reference standard result. Samples with discordant ELISA results were retested by Western Blot and the Western Blot result used. Samples with indeterminate Western Blot results were excluded from analysis. Negative RDT results were not directly confirmed, but regarded as true negative if the result of the following survey was also negative. Whole blood results where confirmation by ELISA testing was impossible due to lack of plasma, were regarded as true positive if the result in the next survey was confirmed positive and as false positive if a negative test result in the next survey was confirmed using the above reference algorithm. Results where the true HIV status could not be verified according to the reference algorithm were excluded from this analysis.</p

    Multivariable association of different factors with <i>T</i>. <i>trichiura</i> infection in Kyela.

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    <p>Results of multivariable Poisson regression models adjusted for household clustering using robust variance estimates (N = 912). Multivariable results are only shown for those variables that were included into the respective model.</p

    Prevalence of <i>T</i>. <i>trichiura</i> infection in the nine EMINI study sites in Mbeya region, Tanzania (A) and details for Kyela site (B).

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    <p>Households with at least one infected person are represented by red Voronoi polygons, households without are shown in green. Subsite A and B in this text refer to the western and eastern part of Kyela, respectively.</p

    Spatial autocorrelation of <i>T</i>. <i>trichiura</i> infection between and within households in Kyela.

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    <p>The red line shows Moran’s I of spatial autocorrelation for the raw data. The blue and green lines show the autocorrelation of deviance residuals for the models M1 and M2, respectively. The horizontal axis shows the distance bands between households.</p
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