Evidence map›Paper›PMID 25343139›Full record

ArticleJournal of public health research2014

Epidemiology and geographical distribution of enteric protozoan infections in sydney, australia.

Stephanie Fletcher, Graziella Caprarelli, Juan Merif, David Andresen, Sebastian Van Hal, Damien Stark, John Ellis

Abstract read
In one paragraph

Article in Journal of public health research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Genotyping and distribution ofParasitology · 2026
    Article
  3. Article
  4. Article
  5. A Cross-Sectional Study on the Occurrence of the Intestinal Protist,International journal of molecular sciences · 2022
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  6. Review
  7. Article
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  11. Article
  12. Article
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  14. Review
  15. Article
  16. Review
  17. Low prevalence of Blastocystis sp. in active ulcerative colitis patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2015
    Article
  18. Article
  19. 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

7 authors.

Stephanie FletcherThe iThree Institute and School of Medical and Molecular Biosciences, University of Technology , Sydney.
Graziella CaprarelliDivision of IT, Engineering and the Environment, University of South Australia , Adelaide.
Juan MerifMicrobiology Department, South Eastern Area Laboratory Service (SEALS), Prince of Wales Hospital , Rand wick.
David AndresenDepartment of Microbiology, Children's Hospital Westmead , Darlinghurst, Australia.
Sebastian Van HalDepartment of Microbiology, Liverpool Hospital , Darlinghurst, Australia.
Damien StarkDivision of Microbiology, St. Vincent's Hospital , Darlinghurst, Australia.
John EllisThe iThree Institute and School of Medical and Molecular Biosciences, University of Technology , Sydney.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnteric protozoa are associated with diarrhoeal illnesses in humans; however there are no recent studies on their epidemiology and geographical distribution in Australia. This study describes the epidemiology of enteric protozoa in the state of New South Wales and incorporates spatial analysis to describe their distribution. DESIGN AND

methodsLaboratory and clinical records from four public hospitals in Sydney for 910 patients, who tested positive for enteric protozoa over the period January 2007 - December 2010, were identified, examined and analysed. We selected 580 cases which had residence post code data available, enabling us to examine the geographic distribution of patients, and reviewed the clinical data of 252 patients to examine possible links between protozoa, demographic and clinical features.

resultsFrequently detected protozoa were Blastocystis spp. (57%), Giardia intestinalis (27%) and Dientamoeba fragilis (12%). The age distribution showed that the prevalence of protozoa decreased with age up to 24 years but increasing with age from 25 years onwards. The geographic provenance of the patients indicates that the majority of cases of Blastocystis (53.1%) are clustered in and around the Sydney City Business District, while pockets of giardiasis were identified in regional/rural areas. The distribution of cases suggests higher risk of protozoan infection may exist for some communities.

conclusionsThese findings provide useful information for policy makers to design and tailor interventions to target high risk communities. Follow-up investigation into the risk factors for giardiasis in regional/rural areas is needed. Significance for public healthThis research is significant since it provides the most recent epidemiological update on the common enteric protozoa affecting Australians. It reveals that enteric protozoa cause considerable disease burden in high risk city dwellers, and provides the evidence base for development of targeted interventions for their prevention and control in high risk populations. The prevalence of enteric protozoa in this metropolitan setting underscores that microorganisms do not respect borders and that a collaborative approach is needed to contain the global spread of infectious diseases. Incorporating spatial analysis is valuable in providing a compelling picture of the geographical distribution of these often neglected diseases. Local and State Public Health departments can use this information to support further inves-

Indexed as

Blastocystisenteric protozoaepidemiologygeographical distributionGiardia intestinalisSydney

Identifiers

PMID25343139
PMCPMC4207027

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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.