Evidence map›Paper›PMID 42806830›Full record

ArticleVeterinary medicine and science2026

A One Health Molecular Investigation and Exploratory Epidemiological Analysis of Cryptosporidium spp. in A Shared Human-Animal Ecosystem.

Majed H Wakid, Dipesh Aryal, Sharifuzzaman, Saifa Saba Hossain, Abu Rakib M Beni Amin, Md Shafiqul Islam, Md Shahiduzzaman

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Article in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Majed H WakidDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0003-4941-5373
Dipesh AryalDepartment of Parasitology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
SharifuzzamanDepartment of Pathology and Parasitology, Faculty of Veterinary Medicine, Jashore University of Science and Technology, Jashore, Bangladesh.
Saifa Saba HossainDepartment of Fisheries Management, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0009-0001-6048-9616
Abu Rakib M Beni AminDepartment of Parasitology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Shafiqul IslamDepartment of Pharmacology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-7944-2252
Md ShahiduzzamanDepartment of Parasitology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0001-6895-7501

Funding

Deanship of Scientific ResearchKing Abdulaziz University
6 · The paper itself

Abstract

introductionCryptosporidium spp. are enteric protozoan parasites of public health importance, particularly in low-resource settings where humans, animals and environmental water sources frequently interact. This study investigated the prevalence, molecular diversity and environmental exposure-related variables in relation to Cryptosporidium infection in a rural community.

methodsA cross-sectional study was conducted using 180 faecal samples collected from humans, cattle, chickens, fish, cats, dogs, and ducks. Speciation and subtyping were determined through PCR amplification and sequencing of the 18S rRNA and gp60 genes. Epidemiological and environmental data were collected, and univariable analyses were conducted. An exploratory multivariable logistic regression model was subsequently performed for the human subset.

resultsThe overall prevalence of Cryptosporidium infection was 9.40%, with the highest rates observed in humans (14.8%) and cattle (13.5%). Molecular characterisation identified C. hominis, C. parvum, C. bovis and C. felis. Among humans, C. hominis was the predominant, whereas C. parvum was also detected, including mixed infections. gp60 analysis identified multiple subtype families, including Ia, Ib, IIa, IIc and IId. Phylogenetic analysis demonstrated close genetic relationships between Bangladeshi isolates and previously reported reference strains from South Asia and the Middle East. Higher odds of Cryptosporidium infection were observed among individuals reporting river bathing and consumption of untreated water, whereas lower odds were observed among those reporting regular handwashing. No statistically significant associations were identified between evaluated environmental variables and infection among non-human hosts.

conclusionThe study demonstrated the circulation of multiple Cryptosporidium species and subtype families within a shared human-animal ecosystem. The contaminated surface water and inadequate hygiene practices may represent important environmental exposure interfaces for Cryptosporidium infection in the study area. However, given the cross-sectional design and limited number of positive cases, the epidemiological findings should be interpreted as exploratory associations rather than definitive transmission pathways. Further longitudinal One Health investigations are needed.

Indexed as

CryptosporidiosisCryptosporidiumOne HealthAnimalsBangladeshCatsCattleCross-Sectional StudiesDogsEcosystemFecesHumansPrevalenceRNA, Ribosomal, 18SZoonosesRNA, Ribosomal, 18SCryptosporidiumenvironmental exposuregp60 subtypingmolecular epidemiologyOne Healthrural Bangladeshwater‐associated transmissionzoonotic parasites

Identifiers

PMID42806830
PMCPMC13620854

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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.