Evidence map›Paper›PMID 40394397›Full record

ArticleCurrent microbiology2025

Wastewater and Clinical Based Epidemiology for Viral Surveillance in the Nile Delta of Egypt.

Mohamed Nasr Fathi Shaheen, Nehal Ismail Ahmed, Elmahdy Mohamed Elmahdy

Abstract read
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In one paragraph

Article in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

3 authors.

Mohamed Nasr Fathi ShaheenEnvironmental Virology Laboratory, Department of Water Pollution Research, Environment and Climate Change Research Institute, National Research Center, Dokki, Cairo, 12622, Egypt.
Nehal Ismail AhmedEnvironmental Virology Laboratory, Department of Water Pollution Research, Environment and Climate Change Research Institute, National Research Center, Dokki, Cairo, 12622, Egypt.
Elmahdy Mohamed ElmahdyEnvironmental Virology Laboratory, Department of Water Pollution Research, Environment and Climate Change Research Institute, National Research Center, Dokki, Cairo, 12622, Egypt. mahdynrc@yahoo.com.ORCID http://orcid.org/0000-0002-0896-6753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The release of inadequately treated wastewater, containing human viruses, into the water environment or agricultural use represent a major problem in public health. In this study, SYBR Green-based real-time polymerase chain (qPCR) was applied to evaluate the prevalence of human polyomavirus (HPyV), papillomavirus (HPV), hepatitis A virus (HAV), and hepatitis E virus (HEV) in urban sewage and among children with acute gastroenteritis. The seasonal distribution in wastewater and viral removal by wastewater treatment process were also evaluated, over the 2 year sampling period. HPyV, HPV, HAV, and HEV were detected in 68%, 39.6% 42.4%, and 33.3% of the raw sewage, respectively, with highest incidence in winter season. In treated sewage samples, HPyV, HPV, HAV, and HEV were detected in 21%, 9.4%, 18.7%, and 0%, respectively. Furthermore, among the 200 diarrheal stool samples, HPyV, HPV, HAV, and HEV were detected in 72.5%, 50%, 13%, and 5%, respectively. HPyV was more prevalent in both environmental and clinical samples. The mean concentration of these viruses in raw sewage, treated sewage, and stool samples was 3.62 × 10

Indexed as

Virus DiseasesVirusesWastewaterChildChild, PreschoolEgyptFecesGastroenteritisHumansSeasonsSewageSewageWastewater

Identifiers

PMID40394397

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.