ArticleBMC infectious diseases2025
Prevalence and associated risk factors of urinary schistosomiasis and intestinal parasites infections in communities around the Soum dam agropole, Nanoro, Burkina Faso.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundUrinary schistosomiasis and intestinal helminth infections remain a public health problem in sub-Saharan Africa. In Burkina Faso, prevalence varies by region. This study aimed to determine the prevalence of urinary schistosomiasis and intestinal helminth infections and the associated risk factors for transmission.
methodsA cross-sectional survey was conducted from October to December 2023 among 807 individuals, aged 6 to 92 years, from five villages around the Soum Dam in the Nanoro area. Transmission-related associated risk factors were precise using a structured questionnaire. Stool samples were analyzed to detect intestinal parasites using the Kato-Katz technique and Formol-Ether/Ethyl Acetate Concentration Technique (FECT). Urine samples were examined for Schistosoma haematobium through urine filtration and microhematuria detection using Haemastix reagent strips.
resultsOut of the 807 individuals enrolled in the study, 84 (10.4%) were found to be infected with at least one parasitic species (95% Confidence Interval (CI): 8.5%–12.7%). Nematode infections were the most prevalent, affecting 47 (5.8%) of participants (95% CI: 4.4%–7.7%), and included Ascaris lumbricoides, Trichuris trichiura, Ancylostoma spp., and Enterobius vermicularis. Intestinal protozoa (Entamoeba histolytica/dispar and Entamoeba coli) were detected in 15 (1.9%) of individuals (95% CI: 1.0%–3.3%). Platyhelminth infections were observed in participants, including 19 (2.4%) (95% CI: 1.4%–4.0%) due to cestodes (Hymenolepis nana) and 4 (0.05%) (95% CI: 0.1%–1.4%) due to trematodes (S. haematobium). Overall, people aged 15 years and older were the most infected population. The greatest proportion of infections was due to nematodes, which are transmitted by food and soil (soil-transmitted helminths). The bivariate analysis revealed several important trends, particularly with regard to geographical location, living in Séguédin (Prevalence Ratio (PR) = 0.4; 95% CI: 0.2%–0.9%) and Soala (PR = 0.3; 95% CI: 0.1%–0.9%) was associated with a lower prevalence of parasitic infections.
conclusionThis study showed that the prevalence of urinary schistosomiasis and intestinal parasitosis are low among populations living around Soum dam agropole. However, soil-transmitted helminths were the most frequent parasites highlighting the need to improve water, sanitation, and hygiene practices in this area. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.