Cow stationed inside one of the nets evaluated in the crossover trial in Nepal.

<p>Cow stationed inside one of the nets evaluated in the crossover trial in Nepal.</p

Results of the negative binomial generalized estimating equation (GEE) population-averaged models estimating the effect of net type on the number <i>Phlebotomus argentipes</i> captured inside the nets by CDC light traps, using cattle as bait.

<p>Estimates for net type used in each trial (Trial 1: A vs B and Trial 2: A vs C) were adjusted by night and sequence. The effect of nets is presented as efficacy in percent reduction and its 95% confidence interval (CI) for both female and total <i>P. argentipes</i>. The marginal estimates: mean count and Standard Error (SE) by net used are also presented.</p><p>Results of the negative binomial generalized estimating equation (GEE) population-averaged models estimating the effect of net type on the number <i>Phlebotomus argentipes</i> captured inside the nets by CDC light traps, using cattle as bait.</p

Number of females and total <i>Phlebotomus argentipes</i> per capture night and type of net in Trial 1: insecticide treated nets with 156 holes/inch² (A) vs 625 holes/inch² (B) and Trial 2: Insecticide treated nets (A) vs Untreated net (C).

<p>Number of females and total <i>Phlebotomus argentipes</i> per capture night and type of net in Trial 1: insecticide treated nets with 156 holes/inch² (A) vs 625 holes/inch² (B) and Trial 2: Insecticide treated nets (A) vs Untreated net (C).</p

Additional file 1: Table S1. of Serological tests for gambiense human African trypanosomiasis detect antibodies in cattle

Results of ITS1-PCR on the 76 PCR and parasitology positive samples from the second set of sera. (DOCX 15 kb

Usage of HAT RDTs by month of the programme.

<p>A red ‘X’ represents a gHAT case that was confirmed. The decline in numbers after August 2014 corresponds with the reduction in the number of health facilities using RDTs in Amuru and Adjumani districts, and the increase in September 2015 corresponds to the expansion to private clinics and re-engagement of refugee facilities.</p

Map showing health facilities in the gHAT focus of north-western Uganda that were characterised and equipped to perform RDTs, microscopy and LAMP in the initial phase between May 2013 and February 2014.

<p>HCIV = level four health centre; HCIII = level 3 health centre. See details on the sources of the geographic data in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0186429#pone.0186429.g001" target="_blank">Fig 1</a>.</p

Cumulative distribution plots (as lines) of the distance of the population to a screening test.

<p>The calculation of cumulative distribution is such that for each distance location on the x-axis, the corresponding percentage on the y-axis are within that distance. This is illustrated by district (A) prior to expansion of screening and (B) after expansion of screening. Accordingly, considering all districts, 50% of the population were within 23km of a screening facility prior to this programme, compared to 2.5km following the programme.</p

Density plot of the Euclidean distance to gHAT diagnostics (microscopy) for the diagnostic coverage prior to this programme and under this programme.

<p>The top lines are density plots and the lines below represent the median and central 75% of the data. Density plots were calculated using a Gaussian kernel with a bandwidth of 3.17km. Note that this was calculated separately for the facilities on the west and the east of River Nile, assuming the Nile to be a barrier that would not be crossed.</p

The gHAT endemic region in north-western Uganda, showing the 4 health facilities that performed confirmatory diagnosis of the disease prior to 2013, and the cases detected between 2008 and 2012.

<p>The gHAT region is geographically separated from the rHAT region. The geographic layers were obtained from CC-BY License compatible sources: GADM (<a href="http://www.gadm.org/" target="_blank">http://www.gadm.org</a>), RCMRD geoportal (<a href="http://geoportal.rcmrd.org/" target="_blank">http://geoportal.rcmrd.org/</a>) and GeoNames database (<a href="http://www.geonames.org/" target="_blank">http://www.geonames.org/</a>).</p

Barplot of gHAT cases reported in Uganda from 2008 to 2012, by district in which the case was diagnosed.

<p>Cases from the districts of Koboko and Maracha were referred to Arua for diagnosis and treatment.</p