Introduction: Cryptosporidium is a coccidian parasite that can infect most mammals, including humans. This parasite is an important cause of neonatal diarrhea and morbidity in calves, causing substantial economic loss to animal husbandry. Because of the importance of this parasite in calves, this study was designed in order to determine prevalence of Cryptosporidium spp. among calves under one year old in Ilam county (Iran).
Methods: Prevalence of Cryptosporidium spp. was estimated using a cross-sectional study. Fecal samples from 400 calves under 1 year old were collected in Ilam County, from March 2014 to February 2015 and they were microscopically analyzed using modified Ziehl-Neelsen method (mZN).
Results: The overall prevalence of Cryptosporidiosis in calves was 16% (64/400). According to age categories, the highest infection was observed in calves under one month old, and the lowest infection occurred in calves 6 to 12 months old. Age was significantly associated with Cryptosporidium spp. infection (p<0.05). The prevalence of Cryptosporidiosis in diarrheic and none diarrheic calves was 27.3 and 12.4 % respectively, which indicated a significant association between positivity and diarrhea (p<0.05). The highest prevalence was observed in winter followed by autumn, spring and summer respectively. No statically difference was found between prevalence of Cryptosporidiosis and seasons of sampling. Also, calves’ gender was not associated with Cryptosporidium spp. infection in this study.
Conclusion: Our results provide useful information about the distribution of Cryptosporidium spp. Also, the role of potential risk factors including age, sex, clinical status and seasons of sampling was indicated in studied calves from Ilam County.
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Keywords: Cryptosporidium spp., prevalence, Calves, Ilam, Iran
Volume 12, Issue 3, July-September 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: