Evidence map›Paper›PMID 32882804›Full record

ArticleInternational journal of environmental research and public health2020

Are There Seasonal Variations in Faecal Contamination of Exposure Pathways? An Assessment in a Low-Income Settlement in Uganda.

Patrick Ronoh, Claire Furlong, Frank Kansiime, Richard Mugambe, Damir Brdjanovic

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick RonohEnvironmental Engineering and Water Technology Department, IHE Delft Institute of Water Education, 2611 AX Delft, The Netherlands.
Claire FurlongEnvironmental Engineering and Water Technology Department, IHE Delft Institute of Water Education, 2611 AX Delft, The Netherlands.ORCID 0000-0001-9299-5516
Frank KansiimeDepartment of Environmental Management, College of Agricultural and Environmental Sciences, Makerere University, Kampala 7062, Uganda.
Richard MugambeDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala 7062, Uganda.ORCID 0000-0003-2311-5436
Damir BrdjanovicEnvironmental Engineering and Water Technology Department, IHE Delft Institute of Water Education, 2611 AX Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sanitation infrastructure are not able to cope with the increasing population in low-income countries, which leaves populations exposed to faecal contamination from multiple pathways. This study evaluated public health risk (using SaniPath) in a low-income community during the dry season, to identify the dominant exposure pathways, and compare this data to existing data for the rainy season, questioning the assumption that risk of faecal contamination is higher in the rainy season. SaniPath was used to collect and assess exposure and environmental data, and to generate risk profiles for each pathway. In the dry season the highest exposure frequency was for bathing and street food, exposure frequency generally increased, and seasonal variation was found in five pathways. The highest hazards in the dry season were through contact with drains, soil, and street food. Seasonal variation was found in the contamination of open drains and street food, with higher levels of

Indexed as

Escherichia coliFecesPovertySanitationHumansSeasonsUgandaexposure pathwaysKampalalow-incomeSaniPathsanitationseasonal variation

Identifiers

PMID32882804
PMCPMC7503969

What OpenQuestion holds

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Registered trials

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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.