Evidence map›Paper›PMID 29383497›Full record

ArticleEnvironmental monitoring and assessment2018

Microfluidic quantification of multiple enteric and opportunistic bacterial pathogens in roof-harvested rainwater tank samples.

Warish Ahmed, Qian Zhang, Satoshi Ishii, Kerry Hamilton, Charles Haas

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2018. 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. Flood-derived sludge as a reservoir of viable opportunistic pathogens after the October 2024 DANA in Valencia (Spain).International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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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.

Warish AhmedCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, Queensland, 4102, Australia. Warish.Ahmed@csiro.au.
Qian ZhangBioTechnology Institute, University of Minnesota, Saint Paul, MN, 55108, USA.
Satoshi IshiiBioTechnology Institute, University of Minnesota, Saint Paul, MN, 55108, USA.
Kerry HamiltonDrexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA.
Charles HaasDrexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potable and non-potable uses of roof-harvested rainwater (RHRW) are increasing due to water shortages. To protect human health risks, it is important to identify and quantify disease-causing pathogens in RHRW so that appropriate treatment options can be implemented. We used a microfluidic quantitative PCR (MFQPCR) system for the quantitative detection of a wide array of fecal indicator bacteria (FIB) and pathogens in RHRW tank samples along with culturable FIB and conventional qPCR analysis of selected pathogens. Among the nine pathogenic bacteria and their associated genes tested with the MFQPCR, 4.86 and 2.77% samples were positive for Legionella pneumophila and Shigella spp., respectively. The remaining seven pathogens were absent. MFQPCR and conventional qPCR results showed good agreement. Therefore, direct pathogen quantification by MFQPCR systems may be advantageous for circumstances where a thorough microbial analysis is required to assess the public health risks from multiple pathogens that occur simultaneously in the target water source.

Indexed as

Environmental MonitoringWater MicrobiologyBacteriaFecesHumansLegionella pneumophilaMicrofluidicsRainReal-Time Polymerase Chain ReactionWaterWaterFecal indicator bacteriaMicrofluidic qPCROpportunistic pathogensPublic healthRainwater

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.