Evidence map›Paper›PMID 25297887›Full record

ArticleParasite (Paris, France)2014

Molecular identification of Cryptosporidium spp. in seagulls, pigeons, dogs, and cats in Thailand.

Khuanchai Koompapong, Hirotake Mori, Nipa Thammasonthijarern, Rapeepun Prasertbun, Ai-rada Pintong, Supaluk Popruk, Wichit Rojekittikhun, Kittipong Chaisiri, Yaowalark Sukthana, Aongart Mahittikorn

Abstract readComparative Study
In one paragraph

Article in Parasite (Paris, France), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence ofMedical sciences (Basel, Switzerland) · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. An Epidemiological Assessment ofAnimals : an open access journal from MDPI · 2023
    Article
  7. Baseline study of the morphological and genetic characteristics ofInternational journal for parasitology. Parasites and wildlife · 2023
    Article
  8. Current research in parasitology & vector-borne diseases · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020
    Article
  16. Prevalence and molecular characterization ofOne health (Amsterdam, Netherlands) · 2020
    Article
  17. Article
  18. First report ofInternational journal for parasitology. Parasites and wildlife · 2019
    Article
  19. Article
  20. 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

10 authors.

Khuanchai KoompapongDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Hirotake MoriDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Nipa ThammasonthijarernDepartment of Tropical Pediatrics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Rapeepun PrasertbunDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Ai-rada PintongDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Supaluk PoprukDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Wichit RojekittikhunDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Kittipong ChaisiriDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Yaowalark SukthanaDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Aongart MahittikornDepartment of Protozoology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic Cryptosporidium spp., particularly C. meleagridis, C. canis, and C. felis, are enteric protozoa responsible for major public health concerns around the world. To determine the spread of this parasite in Thailand, we conducted molecular identification of Cryptosporidium spp. from animal samples around the country, by collecting and investigating the feces of seagulls (Chroicocephalus brunnicephalus and Chroicocephalus ridibundus), domestic pigeons (Columba livia domestica), dogs, and cats. Seagull and pigeon samples were collected at the seaside and on the riverside to evaluate their potential for waterborne transmission. Ten pigeon samples were combined into one set, and a total of seven sets were collected. Seventy seagull samples were combined into one set, and a total of 13 sets were collected. In addition, 111 dog samples were collected from cattle farms, and 95 dog and 80 cat samples were collected from a temple. We identified C. meleagridis in pigeons, Cryptosporidium avian genotype III in seagulls, C. canis in dogs, and C. felis in cats. In the temple, the prevalence was 2.1% (2/95) for dogs and 2.5% (2/80) for cats. No Cryptosporidium was found in dog samples from cattle farms. These are the first findings of C. meleagridis in domestic pigeons, and Cryptosporidium avian genotype III in seagulls. Our study invites further molecular epidemiological investigations of Cryptosporidium in these animals and their environment to evaluate the public health risk in Thailand.

Indexed as

Animal HusbandryAnimalsAnimals, DomesticAnimals, WildBird DiseasesCat DiseasesCatsCharadriiformesColumbidaeCryptosporidiosisCryptosporidiumDisease ReservoirsDog DiseasesDogsFecesGenotypeRNA, ProtozoanRNA, Ribosomal

Identifiers

PMID25297887
PMCPMC4190471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.