Evidence map›Paper›PMID 17483276›Full record

ArticleApplied and environmental microbiology2007

Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment.

Norma J Ruecker, Shannon L Braithwaite, Edward Topp, Thomas Edge, David R Lapen, Graham Wilkes, Will Robertson, Diane Medeiros, Christoph W Sensen, Norman F Neumann

Open access · greenAbstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

40 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Microbiology spectrum · 2024
    Article
  5. Source tracking of fecal contamination in Asian green mussels (Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    Article
  6. Investigation of Parasitic Infection in Crocodile Lizards (Animals : an open access journal from MDPI · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. 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

10 authors at 3 institutions in 1 country.

Norma J RueckerAlberta Provincial Laboratory for Public Health (Microbiology), and Department of Microbiology and Infectious Diseases, University of Calgary, 3030 Hospital Drive NW, Calgary, Alberta, Canada T2N 4W4.
Shannon L Braithwaite
Edward Topp
Thomas Edge
David R Lapen
Graham Wilkes
Will Robertson
Diane Medeiros
Christoph W Sensen
Norman F Neumann
University of Calgary · CAAgriculture and Agri-Food Canada · CAHealth Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent molecular evidence suggests that different species and/or genotypes of Cryptosporidium display strong host specificity, altering our perceptions regarding the zoonotic potential of this parasite. Molecular forensic profiling of the small-subunit rRNA gene from oocysts enumerated on microscope slides by U.S. Environmental Protection Agency method 1623 was used to identify the range and prevalence of Cryptosporidium species and genotypes in the South Nation watershed in Ontario, Canada. Fourteen sites within the watershed were monitored weekly for 10 weeks to assess the occurrence, molecular composition, and host sources of Cryptosporidium parasites impacting water within the region. Cryptosporidium andersoni, Cryptosporidium muskrat genotype II, Cryptosporidium cervine genotype, C. baileyi, C. parvum, Cryptosporidium muskrat genotype I, the Cryptosporidium fox genotype, genotype W1, and genotype W12 were detected in the watershed. The molecular composition of the Cryptosporidium parasites, supported by general land use analysis, indicated that mature cattle were likely the main source of contamination of the watershed. Deer, muskrats, voles, birds, and other wildlife species, in addition to sewage (human or agricultural) may also potentially impact water quality within the study area. Source water protection studies that use land use analysis with molecular genotyping of Cryptosporidium parasites may provide a more robust source-tracking tool to characterize fecal impacts in a watershed. Moreover, the information is vital for assessing environmental and human health risks posed by water contaminated with zoonotic and/or anthroponotic forms of Cryptosporidium.

Indexed as

Genetic VariationPhylogenyAnimalsBase SequenceCluster AnalysisCryptosporidiumFecesGenotypeMolecular Sequence DataOntarioRibotypingRiversRNA, RibosomalSequence Analysis, DNASpecies SpecificityRNA, Ribosomal

Identifiers

PMID17483276
PMCPMC1932708
OpenAlexW2100817153

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.