| Literature DB >> 32401770 |
Suzan C M Trienekens1,2,3, Christina L Faust1,2, Keila Meginnis1,4, Lucy Pickering3, Olivia Ericsson2, Andrina Nankasi5, Arinaitwe Moses5, Edridah M Tukahebwa5, Poppy H L Lamberton1,2.
Abstract
BACKGROUND: The World Health Organization identified Uganda as one of the 10 highly endemic countries for schistosomiasis. Annual mass drug administration (MDA) with praziquantel has led to a decline in intensity of Schistosoma mansoni infections in several areas. However, as hotspots with high (re)infection rates remain, additional research on risk factors and implementing interventions to complement MDA are required to further reduce disease burden in these settings. Through a mixed-methods study we aimed to gain deeper understanding of how gender may impact risk and reinfection in order to inform disease control programmes and ascertain if gender-specific interventions may be beneficial. METHODOLOGY/PRINCIPALEntities:
Year: 2020 PMID: 32401770 PMCID: PMC7219705 DOI: 10.1371/journal.pntd.0008266
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Key household activities involving water contact by gender and age, as reported by household head (n = 130).
| Activity | Female only | Male only | Mixed gender | Total | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| <18y | ≥18y | Mixed ages | Female total | <18y | ≥18y | Mixed ages | Male total | <18y | ≥18y | Mixed ages | Mixed gender total | ||
| 17 (13.0) | 71 (54.6) | 1 (0.8) | 4 (3.1) | 14 (10.7) | 1 (0.8) | 7 (5.4) | 0 | 15 (11.6) | |||||
| 10 (7.7) | 103 (79.2) | 3 (2.3) | 0 | 5 (3.8) | 0 | 1 (0.8) | 0 | 8 (6.2) | |||||
Gender distribution for fetching water and washing clothes by demographic and socio-economic characteristics (n = 130).
| Demographic / socio-economic characteristic | Fetching water | Washing clothes | |||||
|---|---|---|---|---|---|---|---|
| Total | Female | Male | Mixed gender | Female | Male | Mixed gender | |
Fig 1Reinfection by gender.
Reinfection curves and 95% confidence intervals by gender for the cohort of 54 children that were sufficiently sampled during the longitudinal study. There is no significant difference in reinfection rates or time to reinfection between genders.
Fig 2Mean genetic diversity by gender before and five months after treatment.
There are no significant differences in average genetic diversity (measured as expected heterozygosity) between male and females, either before or after treatment. Violin plots show distribution of genetic diversity and internal boxplots show mean and first and third quartile range per gender and timepoint. Mean genetic diversity per child is shown by individual open circles.
Fig 3Population differentiation with discriminant analysis of principle components (DAPC).
A. DAPC identified 4 clusters of parasite genotypes within the population sampled. B. However, these clusters were distributed relatively evenly between both genders and timepoints, suggesting no population structure determined by gender or treatment effects.