Evidence map›Paper›PMID 32494897›Full record

ArticleParasitology research2020

Species and genotypes causing human cryptosporidiosis in New Zealand.

Juan C Garcia-R, Anthony B Pita, Niluka Velathanthiri, Nigel P French, David T S Hayman

Abstract read
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In one paragraph

Article in Parasitology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. Pooled it
  2. Large-scale molecular epidemiological survey ofJournal of clinical microbiology · 2026
    Article
  3. Article
  4. Prevalence and risk factors ofVeterinarni medicina · 2025
    Article
  5. A review of recentCurrent research in parasitology & vector-borne diseases · 2025
    Review
  6. First nationwide investigation ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  7. Current research in parasitology & vector-borne diseases · 2025
    Article
  8. Emerging microbes & infections · 2024
    Article
  9. Outbreak of the novelEpidemiology and infection · 2024
    Article
  10. Marked increase in cryptosporidiosis cases, Spain, 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  11. Rodent-adaptedOne health (Amsterdam, Netherlands) · 2024
    Article
  12. Article
  13. The One Health Concept.British journal of biomedical science · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. High zoonotic potential and heavy environmental burden ofOne health (Amsterdam, Netherlands) · 2023
    Article
  18. 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

5 authors.

Juan C Garcia-RMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, School of Veterinary Science, Massey University, Private Bag 11-222, Palmerston North, New Zealand. j.c.garciaramirez@massey.ac.nz.ORCID http://orcid.org/0000-0002-6665-9671
Anthony B PitaMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, School of Veterinary Science, Massey University, Private Bag 11-222, Palmerston North, New Zealand.
Niluka VelathanthiriMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, School of Veterinary Science, Massey University, Private Bag 11-222, Palmerston North, New Zealand.
Nigel P FrenchMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, School of Veterinary Science, Massey University, Private Bag 11-222, Palmerston North, New Zealand.
David T S HaymanMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, School of Veterinary Science, Massey University, Private Bag 11-222, Palmerston North, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is one of the most common causes of diarrhoea around the world. Successful management and prevention of this infectious disease requires knowledge of the diversity of species and subtypes causing human disease. We use sequence data from 2598 human faecal samples collected during an 11-year period (2009-2019) to better understand the impact of different species and subtypes on public health and to gain insights into the variation of human cryptosporidiosis in New Zealand. Human cryptosporidiosis in New Zealand is caused by a high diversity of species and subtypes. Six species cause human disease in New Zealand: C. hominis, C. parvum, C. cuniculus, C. erinacei, C. meleagridis and C. tyzzeri. Sequence analysis of the gp60 gene identified 16 subtype families and 101 subtypes. Cryptosporidium hominis IbA10G2 and C. parvum IIaA18G3R1 were the most frequent causes of human cryptosporidiosis with 27% and 29% of infections, respectively. Cryptosporidium hominis presented a peak of notified human cases during autumn (March-May) whereas most cases of human cryptosporidiosis caused by C. parvum are found during the calving and lambing season in spring (September-November). We also reported some subtypes that have been rarely detected in other countries such as IbA20G2 and IIoA13G1 and a low prevalence of the hypertransmissible and virulent IIaA15G2R1. This study provides insight into the variability of cryptosporidiosis in New Zealand essential for disease management and surveillance to prevent the introduction or spread of new species and subtypes in the country.

Indexed as

CryptosporidiosisCryptosporidiumDNA, ProtozoanFecesGenetic VariationGenotypeHumansNew ZealandSeasonsSequence Analysis, DNADNA, ProtozoanCryptosporidiumgp60Human diseaseNew ZealandSpeciesSubtypes

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.