Evidence map›Paper›PMID 41667631›Full record

ArticleParasitology research2026

Identification of Cryptosporidium and Eimeria associated with diarrhea in calves in Japan (2020-2022).

Mohammad Hazzaz Bin Kabir, Fumi Murakoshi, Yasuhiro Fukuda, Megumi Itoh, Yuto Kano, Reiichiro Sato, Konosuke Otomaru, Atsushi Fujikura, Takuto Endo, Fuminosuke Yamamura and 8 more

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Mohammad Hazzaz Bin KabirLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, 232-3 Yomogida, Naruko-Onsen, Osaki, Miyagi, 989-6711, Japan.
Fumi MurakoshiLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, 232-3 Yomogida, Naruko-Onsen, Osaki, Miyagi, 989-6711, Japan.
Yasuhiro FukudaLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, 232-3 Yomogida, Naruko-Onsen, Osaki, Miyagi, 989-6711, Japan.
Megumi ItohDepartment of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, 080-8555, Japan.
Yuto KanoKagoshima Prefecture Agricultural Mutual Aid Association, 2253 Tsukino, Oosumicho, Soo, Kagoshima, 899-8212, Japan.
Reiichiro SatoGraduate School of Medicine and Veterinary Medicine, University of Miyazaki, 1-1 Gakuen, Kibanadai-Nishi, Miyazaki, 889-2192, Japan.
Konosuke OtomaruJoint Faculty of Veterinary Medicine, Kagoshima University, 1-21-24 Korimoto, Kagoshima, 890-0065, Japan.
Atsushi FujikuraVets Support WA, Jyonannku-Katae 1-4-54-202, Fukuoka, 814-0142, Japan.
Takuto EndoFukuoka Prefecture Dairy Cooperative Association, Ohashimachi-Airaku 75-2, Kurume, Fukuoka, 839-0832, Japan.
Fuminosuke YamamuraChiba Prefecture Agricultural Mutual Relief Association, Nira 99-1, Katori, Chiba, 289-0407, Japan.
Akira GotoDepartment of Veterinary Medicine, Faculty of Veterinary Medicine, Okayama University of Science, Ikoino-Oka 1-3, Imabari, Ehime, 794-0085, Japan.
Kenichi ShibanoDepartment of Veterinary Medicine, Faculty of Veterinary Medicine, Okayama University of Science, Ikoino-Oka 1-3, Imabari, Ehime, 794-0085, Japan.
Nanako MochizukiDepartment of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, 080-8555, Japan.
Fumiaki TakahashiSchool of Veterinary Medicine, Veterinary Teaching Hospital, Kitasato University, Aomori, Japan.
Yosuke MaedaSchool of Veterinary Medicine, Veterinary Teaching Hospital, Kitasato University, Aomori, Japan.
Hiroshi MiuraSchool of Veterinary Medicine, Veterinary Teaching Hospital, Kitasato University, Aomori, Japan.
Kazuhiro BandaiFaculty of Veterinary Science, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-Shi, Tokyo, 180-8602, Japan.
Kentaro KatoLaboratory of Sustainable Animal Environment, Graduate School of Agricultural Science, Tohoku University, 232-3 Yomogida, Naruko-Onsen, Osaki, Miyagi, 989-6711, Japan. kentaro.kato.c7@tohoku.ac.jp.

Funding

Ministry of Education, Culture, Science, Sports, and Technology (MEXT) of Japan Grant-in-Aid for Scientific Research (B: 24K01921)Ministry of Education, Culture, Sports, Science and Technology Challenging Research (Exploratory: 25K22852)
6 · The paper itself

Abstract

Calf diarrhea is a multifactorial disease that poses substantial challenges to the cattle industry, necessitating timely identification and characterization of causative agents to inform effective control strategies. This study investigated the prevalence, co-occurrence, and characteristics of Cryptosporidium and Eimeria infections in diarrheic calves. A total of 348 diarrheal fecal samples were collected from calves aged 1-30 days across 15 prefectures in Japan between February 2020 and February 2022. Preliminary diagnosis of calf diarrhea was performed using an immunochromatographic test (ICT) kit. Cryptosporidium spp. were detected in 36.5% (127/348) of samples. Using nested PCR and conventional PCR with species-specific primers, targeting these two major parasitic pathogens, we assessed seasonal variations, prevalence, and associations with calf age, breed, and sex. Overall, Cryptosporidium was detected in 58.6% of samples, while Eimeria spp. were found in 7.5%. Mixed infections involving both pathogens occurred in 4.9% of samples. The highest detection rates for both pathogens were observed in calves aged 8-15 days, with a significant age-related decline in mixed infections (p < 0.05). Seasonal variations were observed, with distinct prevalence patterns for each pathogen. Breed- and sex-related differences were minimal but are described in detail. Phylogenetic analysis confirmed C. parvum as the predominant Cryptosporidium species and E. bovis as the most common Eimeria species. These findings highlight the widespread presence of Cryptosporidium and Eimeria spp. in diarrheic calves in Japan and provide insights into age- and season-related infection dynamics, informing targeted control and management strategies.

Indexed as

Cattle DiseasesCoccidiosisCryptosporidiosisCryptosporidiumDiarrheaEimeriaAnimalsCattleCoinfectionFecesFemaleJapanMalePolymerase Chain ReactionPrevalenceSeasonsCalvesCryptosporidium parvumDiarrheaEimeriaJapanNeonatal calvesPCR

Identifiers

PMID41667631
PMCPMC12891258

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LicenceCC BY-NC-ND
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Registered trials

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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.