Evidence map›Paper›PMID 23695802›Full record

ArticleWorld journal of microbiology & biotechnology2013

Prevalence of Escherichia coli in surface waters of Southeast Asian cities.

Kenneth Widmer, Nguyen Thi Van Ha, Soydoa Vinitnantharat, Suthipong Sthiannopkao, Setiawan Wangsaatmaja, Maria Angela Novi Prasetiati, Nguyen Cong Thanh, Kasame Thepnoo, Arief Dhany Sutadian, Huynh Thi Thanh Thao and 4 more

Abstract read
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Article in World journal of microbiology & biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Toxicology research · 2024
    Article
  2. Article
  3. Review
  4. Use of sterols and linear alkylbenzenes as molecular markers of sewage pollution in Southeast Asia.Environmental science and pollution research international · 2019
    Article
  5. Article
  6. 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

14 authors.

Kenneth WidmerInternational Environmental Analysis and Education Center, Gwangju Institute of Science and Technology, 123 Cheomdan-Gwagiro, Bukgu, Gwangju, 500-712, Republic of Korea, kwidmer@gist.ac.kr.
Nguyen Thi Van Ha
Soydoa Vinitnantharat
Suthipong Sthiannopkao
Setiawan Wangsaatmaja
Maria Angela Novi Prasetiati
Nguyen Cong Thanh
Kasame Thepnoo
Arief Dhany Sutadian
Huynh Thi Thanh Thao
Deby Fapyane
Vibol San
Pierangeli Vital
Hor-Gil Hur

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface water samples were collected from rivers which fed into large urban areas within Vietnam, Indonesia, Cambodia, and Thailand and were processed to enumerate Escherichia coli. Selected isolates were further characterized using PCR to detect the presence of specific virulence genes. Analyzing the four countries together, the approximate mean cfu/100 ml for E. coli counts in the dry season were log 4.3, while counts in the wet season were log 2.8. Of the 564 E. coli isolates screened for the presence of pathogenic genes, 3.9 % possessed at least one virulence gene. The most common pathogenic types found were Shiga toxin-producing E. coli isolates. These results reinforce the importance of monitoring urban surface waters for fecal contamination, that E. coli in these water environments may serve as opportunistic pathogens, and may help in determining the impact water usage from these rivers have on the public health of urban populations in Southeast Asia.

Indexed as

CitiesWater MicrobiologyAsia, SoutheasternBacterial LoadEscherichia coliEscherichia coli ProteinsPublic HealthRiversSeasonsShiga-Toxigenic Escherichia coliUrban PopulationVirulence FactorsWater QualityEscherichia coli ProteinsVirulence Factors

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.