Evidence map›Paper›PMID 38616329›Full record

ArticleEpidemiology and infection2024

Severe weather events and cryptosporidiosis in Aotearoa New Zealand: A case series of space-time clusters.

Leah Grout, Simon Hales, Michael G Baker, Nigel French, Nick Wilson

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Leah GroutDepartment of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-4427-7314
Simon HalesDepartment of Public Health, University of Otago, Wellington, New Zealand.
Michael G BakerDepartment of Public Health, University of Otago, Wellington, New Zealand.
Nigel FrenchTāwharau Ora, School of Veterinary Science, Massey University, Palmerston North, New Zealand.
Nick WilsonDepartment of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-5118-0676

Funding

Health Research Council of New Zealand 19/104
6 · The paper itself

Abstract

Occurrence of cryptosporidiosis has been associated with weather conditions in many settings internationally. We explored statistical clusters of human cryptosporidiosis and their relationship with severe weather events in New Zealand (NZ). Notified cases of cryptosporidiosis from 1997 to 2015 were obtained from the national surveillance system. Retrospective space-time permutation was used to identify statistical clusters. Cluster data were compared to severe weather events in a national database. SaTScan analysis detected 38 statistically significant cryptosporidiosis clusters. Around a third (34.2%, 13/38) of these clusters showed temporal and spatial alignment with severe weather events. Of these, nearly half (46.2%, 6/13) occurred in the spring. Only five (38%, 5/13) of these clusters corresponded to a previously reported cryptosporidiosis outbreak. This study provides additional evidence that severe weather events may contribute to the development of some cryptosporidiosis clusters. Further research on this association is needed as rainfall intensity is projected to rise in NZ due to climate change. The findings also provide further arguments for upgrading the quality of drinking water sources to minimize contamination with pathogens from runoff from livestock agriculture.

Indexed as

CryptosporidiosisWeatherAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDisease OutbreaksFemaleHumansInfantInfant, NewbornMaleMiddle AgedNew ZealandCryptosporidium sppfloodinginfectious diseaseNew Zealandsevere weather eventsstormssurveillance

Identifiers

PMID38616329
PMCPMC11062783

What OpenQuestion holds

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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.