Evidence map›Paper›PMID 31087275›Full record

ArticleFood and environmental virology2019

Performance Evaluation of Human-Specific Viral Markers and Application of Pepper Mild Mottle Virus and CrAssphage to Environmental Water Samples as Fecal Pollution Markers in the Kathmandu Valley, Nepal.

Bikash Malla, Rajani Ghaju Shrestha, Sarmila Tandukar, Jeevan B Sherchand, Eiji Haramoto

Abstract read
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Article in Food and environmental virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  6. Microbial and Chemical Water Quality Assessments Across the Rural and Urban Areas of Nepal: A Scoping Review.International journal of environmental research and public health · 2025
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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.

Bikash MallaDepartment of Natural, Biotic and Social Environment Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.
Rajani Ghaju ShresthaInterdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.
Sarmila TandukarDepartment of Natural, Biotic and Social Environment Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.
Jeevan B SherchandInstitute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal.
Eiji HaramotoInterdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan. eharamoto@yamanashi.ac.jp.ORCID 0000-0002-0126-0651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of environmental water is crucial to protecting humans and animals from possible health risks. Although numerous human-specific viral markers have been designed to track the presence of human fecal contamination in water, they lack adequate sensitivity and specificity in different geographical regions. We evaluated the performances of six human-specific viral markers [Aichi virus 1 (AiV-1), human adenoviruses (HAdVs), BK and JC polyomaviruses (BKPyVs and JCPyVs), pepper mild mottle virus (PMMoV), and crAssphage] using 122 fecal-source samples collected from humans and five animal hosts in the Kathmandu Valley, Nepal. PMMoV and crAssphage showed high sensitivity (90-100%) with concentrations of 4.5-9.1 and 6.2-7.0 log

Indexed as

AnimalsBiomarkersFecesFresh WaterHumansNepalTobamovirusVirusesWater PollutionBiomarkersCrAssphageFecal contaminationMicrobial source trackingPepper mild mottle virus

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.