ArticleEnvironmental health insights2026
Socio-Demographic and Household Environmental Conditions Associated With Prevalence of Diarrheal Disease in Burao, Somaliland.
Article in Environmental health insights, 2026. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diarrheal diseases remain a significant public health concern in urban, resource-limited settings, including Burao City, Somaliland, where socio-demographic factors and household environmental conditions contribute to disease prevalence. This study aimed to assess household sanitation conditions, environmental exposure pathways, and associated risk factors for diarrheal diseases in this urban context. Methods: A community-based cross-sectional study was conducted from June to August 2025 in Burao City, Somaliland, involving 422 households selected through multistage sampling. Data were collected using structured questionnaires and direct environmental observations to evaluate sanitation infrastructure, hygiene facilities, waste management, and environmental contamination. The occurrence of household diarrheal disease within the previous two weeks was recorded. Bivariate and multivariate logistic regression analyses were used to identify factors independently associated with diarrheal disease. Results: The two-week household diarrheal prevalence was 7.1% (95% CI, 5.0-10.0%). Most households used municipal tap water (95.7%) and had private flush toilets (89.6%), with high availability of handwashing facilities (97.2%). The absence of soap at handwashing stations was the strongest independent predictor of diarrheal disease (adjusted odds ratio [aOR] = 8.51; 95% CI: 1.93-37.52; p < 0.005). Visible garbage near households (aOR = 4.56; 95% CI: 2.12-9.83; p < 0.001) and the presence of domestic animals in living areas (aOR = 2.47; 95% CI: 1.16-5.28; p = 0.019) were also significantly associated with increased diarrheal risk. Additionally, households with three or more children under five years (aOR = 5.05; 95% CI: 1.06-24.17; p = 0.043) and respondents lacking formal education (aOR = 5.70; 95% CI: 1.80-18.02; p = 0.003) had higher odds of diarrhea. Conclusion: Diarrheal disease in Burao City is strongly associated with modifiable household and environmental factors, particularly the absence of soap at handwashing facilities and environmental contamination. Integrated interventions focusing on sustained hygiene resource availability, improved waste management, safer human-animal interactions, and targeted health education for vulnerable populations are critical for reducing diarrheal morbidity in this urban, resource-constrained context.
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.