Quantitative data on Linkage to HIV care in Mbeya Tanzania

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

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

<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

Characteristics of the study population and environmental conditions at their place of residence.

<p>Characteristics of the study population and environmental conditions at their place of residence.</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).

<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

HIV-Testing Algorithm and Exclusion criteria Survey 1.

<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

Location of the EMINI study area.

<p>The study area consists of nine distinct study sites. Participating household are shown as red circles.</p

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

<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

<i>T</i>. <i>trichiura</i> prevalence by age.

<p>The red line shows LOWESS-smoothed <i>T</i>. <i>trichiura</i> infection prevalence, grey bars indicate the number of participants in each age stratum.</p

Additional file 1: of Why being an expert – despite xpert –remains crucial for children in high TB burden settings

Performance outcomes of clinical TB diagnosis and Xpert MTB/RIF using culture as reference standard for patients <15 years old and referred for presumptive TB. The data in additional file 1 shows the sensitivity, specificity, PPV and NPV of clinical TB and Xpert MTB/RIF compared to culture as the reference standard for all patients as well as the subgroups of inpatients, outpatients, HIV positive and HIV negative. (DOCX 12 kb

Association of various factors with false positive STAT-PAK RDT results in plasma; uni- and multi-variable log-link binomial regression results adjusted for clustering within household (N = 11969).

<p>PR  =  probability ratio for a false positive result; p  =  p-value; 95% CI  = 95% confidence interval.</p><p><i>P. falciparum</i> infection not included due to empty cells (no false positive results in <i>P. falciparum</i> infected participants because of low <i>P. falciparum</i> prevalence in survey 2).</p>*<p>variables were only retained in multi-variable model if uni-variable p-value <0.2.</p