Evidence map›Paper›PMID 36031635›Full record

ArticleParasites & vectors2022

Clustering of Cryptosporidium species infections among sheep and cattle but not children in remote highland communities of Madagascar.

Ralf Krumkamp, Franz J Conraths, Simone Caccio, Gereon Schares, Benedikt Hogan, Doris Winter, Anna Jaeger, Sophia Melhem, Njari Rakotozandrindrainy, Jürgen May and 2 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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  5. Article
  6. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2023
    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

12 authors at 5 institutions in 3 countries.

Ralf KrumkampDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany. krumkamp@bnitm.de.
Franz J ConrathsInstitute of Epidemiology, Friedrich-Loeffler-Institut-Federal Research Institute for Animal Health, 17493, Greifswald-Insel Riems, Germany.
Simone CaccioUnit of Foodborne and Neglected Parasites, Istituto Superiore Di Sanità, Rome, Italy.
Gereon ScharesInstitute of Epidemiology, Friedrich-Loeffler-Institut-Federal Research Institute for Animal Health, 17493, Greifswald-Insel Riems, Germany.
Benedikt HoganDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Doris WinterDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Anna JaegerDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Sophia MelhemDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Njari RakotozandrindrainyUniversity of Antananarivo, Antananarivo, Madagascar.
Jürgen MayDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Raphael RakotozandrindrainyUniversity of Antananarivo, Antananarivo, Madagascar.
Daniel EibachDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, 20359, Hamburg, Germany.
Bernhard Nocht Institute for Tropical Medicine · DEFriedrich-Loeffler-Institut · DEGerman Center for Infection Research · DEUniversity of Antananarivo · MGIstituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify local transmission patterns of Cryptosporidium spp. infections among livestock and humans in four extremely rural and remote highland communities in Madagascar.

methodsIn this cross-sectional study, households were randomly sampled throughout a 1-year study period, with one feces sample collected from each child (≤ 5 years old), sheep and cattle. Cryptosporidium spp. were identified using a nested PCR assay targeting the 18S ribosomal RNA gene. All samples positive for Cryptosporidium hominis were further subtyped by sequencing the 60-kDa glycoprotein gene (gp60). Spatial clustering methods were applied to analyze potential transmission patterns.

resultsIn total, 252 households participated in the study, and samples from 197 children, 862 cattle and 334 sheep were collected and included in the study. Of the samples collected, 11 (5.6%) from children, 30 (3.5%) from cattle and 42 (12.6%) from sheep tested positive for Cryptosporidium spp. Very little overlap in the species distribution between human and animal infections was found. Global (overall) and local (spatially defined) clustering was observed for Cryptosporidium spp. infections in sheep and for Cryptosporidium xiaoi/bovis infections among sheep and cattle. DISCUSSION: The results of this analysis do not support the occurrence of defined disease outbreaks, rather they point to a continuous series of transmission events that are spatially aggregated. Despite the close coexistence between humans, sheep and cattle in the study area, mutual transmission was not observed. Hence, the study underlines the importance of sustained sanitation and hygiene measures to prevent cryptosporidiosis transmission among infants, since asymptomatic children serve as an infection reservoir. Similarly, the study highlights the importance of improving hygiene to reduce the transmission of Cryptosporidium spp. in livestock, an infection with serious consequences, especially in newborn calves.

Indexed as

Cattle DiseasesCryptosporidiosisCryptosporidiumAnimalsCattleChild, PreschoolCluster AnalysisCross-Sectional StudiesFecesGenotypeHumansInfantLivestockMadagascarPrevalenceSheepCluster analysisCryptosporidiumDisease transmissionMadagascarRural area

Identifiers

PMID36031635
PMCPMC9422120
OpenAlexW4293408936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.