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Prevalence of Calves’ Cryptosporidiosis in Northern Kazakhstan

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12253))

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Abstract

This work examines the prevalence of Cryptosporidium spp. infection of cattle in the Akmola region of Northern Kazakhstan. The research was carried out at 75 agricultural enterprises in 10 administrative districts where 894 calves aged from one month to 12 months were tested for cryptosporidiosis. The Bayesian inference method was used to predict the prevalence of cryptosporidiosis. The maximum likelihood estimate (MLE) of infestation of young animals in the region was 0.0391. To get a conjugate beta-posterior in Bayesian statistics, binomial and beta distributions were chosen for likelihood and prior respectively. A 95% credible interval for posterior prevalence was [0.0418, 0.0685]. Cryptosporidiosis was common in 22.7% of cattle farms in the Akmola region, mainly in large industrial enterprises, where there are more favourable conditions for maintaining the biotic potential of the disease pathogens. At the same time, calves up to one month of age are infested with cryptosporidia to a higher degree than animals of older age groups. The sex of animals had no correlation with the level of Cryptosporidium spp. invasion.

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References

  1. Fayer, R.: Taxonomy and species delimitation in cryptosporidium. Exp. Parasitol. 124, 90–97 (2010)

    Article  Google Scholar 

  2. Cacciò, S., Chalmers, R.: Human cryptosporidiosis in Europe. Clin. Microbiol. Infect. 22(6), 471–480 (2016)

    Article  Google Scholar 

  3. Insulander, M., Silverlas, C., Lebbad, M., Karlsson, L., Mattsson, G., Svenungsson, B.: Molecular epidemiology and clinical manifestations of human cryptosporidiosis in Sweden. Epidemiol. Infect. 141(5), 1009–1020 (2013)

    Article  Google Scholar 

  4. Xiao, L.: Molecular epidemiology of cryptosporidiosis: an up-date. Exp. Parasitol. 124(1), 80–89 (2010)

    Article  Google Scholar 

  5. Vieira, P., et al.: Molecular characterisation of Cryptosporidium (Apicomplexa) in children and cattle in Romania. Folia Parasitol. 62(2), 1–4 (2015)

    Google Scholar 

  6. Hill, A., Nally, P., Chalmers, R., Pritchard, G., Giles, M.: Quantitative risk assessment for zoonotic transmission of Cryptosporidium parvum infection attributable to recreational use of farmland. Zoonoses Public Health 58, 222–333 (2011)

    Article  Google Scholar 

  7. Borodina, O., Zhukova, E., Kravets, Z.: The detection of the causative agent of cryptosporidiosis in man and animals in Turkmenistan. Med. Parazitol. 1, 8–11 (1994)

    Google Scholar 

  8. Nurtaev, Kh., Badalova, N., Zalialieva, M., Osipova, S.: Intestinal parasitic diseases in HIV-infected patients in Uzbekistan. Med. Parazitol. 3, 45–49 (2005)

    Google Scholar 

  9. Ussenbayev, A., Kurenkeyeva, D., Zhanabayev, A., Bauer, Ch., Leader, L.: Modelling the epidemiology of cryptosporidiosis in cattle in Central Kazakhstan. In: Digests 8th International Scientific Meeting “Days of Veterinary Medicine-2018, Ohrid, Macedonia, 23–27 September 2018, p. 49 (2018)

    Google Scholar 

  10. Gow, S., Waldner, C.: An examination of the prevalence of and risk factors for shedding of Cryptosporidium spp. and Giardia spp. in cows and calves from western Canadian cow-calf herds. Vet. Parasitol. 119(1), 192–195 (2008)

    Google Scholar 

  11. Torgerson, P., Shaikenov, B., Rysmukhambetova, A., Ussenbayev, A., Abdybekova, A., Burtisurnov, K.: Modelling the transmission dynamics of Echinococcus granulosus in dogs in rural Kazakhstan. Parasitol. 126, 417–424 (2003)

    Google Scholar 

  12. Abdrakhmanov, S., Mukhanbetkalyev, E., Ussenbayev, A., Satybaldina, D., Kadyrov, A., Tashatov, N.: Modeling the epidemiological processes of economically significant infections of animals. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11621, pp. 551–560. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24302-9_39

    Chapter  Google Scholar 

  13. Heine, J.: Eine einfache Nachweismethode für Kryptosporidien im Kot. Zbl. Vet. Med. 29, 324–327 (1982)

    Google Scholar 

  14. Peter, G., et al.: Prevalence of Cryptosporidia, Eimeria, Giardia, and Strongyloides in pre-weaned calves on smallholder dairy farms in Mukurwe-ini district. Kenya. Vet. World 8(9), 1118–1125 (2015)

    Google Scholar 

  15. Velez, J., Lange, M., Zieger, P., Yoon, I., Failing, K., Bauer, Ch.: Long-term use of yeast fermentation products in comparison to halofuginone for the control of cryptosporidiosis in neonatal calves. Vet. Parasitol. 269, 57–64 (2019)

    Google Scholar 

  16. Kváč, M., Kouba, M., Vitovek, J.: Age related and housing-dependence of Cryptosporidium infection of calves from dairy and beef herds in South Bohemia. Czech Republic. Vet. Parasitol. 137(3–4), 202–209 (2006)

    Google Scholar 

  17. Olson, M., Thorlakson, C., Deselliers, L., Morck, D., McAllister, T.: Giardia and Cryptosporidium in Canadian farm animals. Vet. Parasitol. 68, 375–381 (1997)

    Google Scholar 

  18. Tizard, I.: In: Veterinary Immunology. An Introduction. 8th edn., pp. 224–238. Saunders Company, Philadelphia (2009)

    Google Scholar 

  19. Quigley, J., et al.: Effects of housing and colostrum feeding on the prevalence of selected infectious organisms in feces of Jersy calves. J. Dairy Sci. 77, 3124–3131 (1994)

    Google Scholar 

  20. Smith, S., Elliot, A., Mallaghan, C., Modha, D., Hippisley-Cox, J., Large, S.: Value of syndromic surveillance in monitoring a focal waterborne outbreak due to an unusual Cryptosporidium genotype in Northamptonshire, United Kingdom, June–July 2008. Euro. Surveill. 15, 19643 (2010)

    Google Scholar 

  21. Ramirez, N., Ward, L., Sreevatsan, S.: A review of the biology and epidemiology of cryptosporidiosis in humans and animals. Microbes Infect. 6(8), 773–785 (2004)

    Google Scholar 

  22. Uga, S., et al.: Prevalence of Cryptosporidium parvum infection and pattern of oocyst shedding in calves in Japan. Vet. Parasitol. 94, 27–32 (2000)

    Google Scholar 

  23. Dorner, S., Huck, P., Slawson, R.: Estimating potential environmental loadings of Cryptosporidium spp. and Campylobacter spp. from livestock in the Grand River Watershed, Ontario. Canada. Environ. Sci. Technol. 38, 3370–3380 (2004)

    Google Scholar 

  24. Maldonago-Carmago, S., Atwill, E., Saltijeral-Oaxaca, J., Herrera-Alonso, L.: Prevalence of and risk factors for shedding of Cryptosporidium parvum in Holstein Freisian dairy calves in central Mexico. Prev. Vet. Med. 36, 95–107 (1998)

    Google Scholar 

  25. de La Fuente, R., et al.: Cryptosporidium and concurrent infections with other major enterophatogens in 1 to 30-day-old diarrheic dairy calves in central Spain. Vet. Parasitol. 80(3), 179–185 (1999)

    Google Scholar 

  26. Garber, L., Salman, M., Hurd, H., Keefe, T., Schlater, J.: Potential risk factors for Cryptosporidium infection in dairy calves. J. Am. Vet. Med. Assoc. 205(1), 86–91 (1994)

    Google Scholar 

  27. Mohammed, H., Wade, S., Schaaf, S.: Risk factors associated with Cryptosporidium parvum infection in dairy cattle in southeastern New York State. Vet. Parasitol. 83, 1–13 (1999)

    Google Scholar 

  28. Castro-Hermida, J., Gonzales-Losada, Y., Ares-Mazas, E.: Prevalence of and risk factors involved in the spread of neonatal bovine cryptosporidiosis in Galicia (NW Spain). Vet. Parasitol. 106, 1–10 (2002)

    Google Scholar 

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Acknowledgment

The research was supported by the grant of the Ministry of Education and Science of the Republic of Kazakhstan (Project APO5135550) in 2018–2020.

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Authors and Affiliations

  1. S. Seifullin Kazakh Agro Technical University, Nur-Sultan, 010011, Kazakhstan

    Altay Ussenbayev

  2. International University of Information Technologies, Almaty, 050040, Kazakhstan

    Dariyash Kurenkeyeva

  3. Justus Liebig University Giessen, Giessen, 35392, Germany

    Christian Bauer

  4. L. N. Gumilyov Eurasian National University, Nur-Sultan, 010008, Kazakhstan

    Ablaikhan Kadyrov

Authors
  1. Altay Ussenbayev
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  2. Dariyash Kurenkeyeva
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  3. Christian Bauer
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  4. Ablaikhan Kadyrov
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Corresponding author

Correspondence to Dariyash Kurenkeyeva .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Ussenbayev, A., Kurenkeyeva, D., Bauer, C., Kadyrov, A. (2020). Prevalence of Calves’ Cryptosporidiosis in Northern Kazakhstan. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_59

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  • DOI: https://doi.org/10.1007/978-3-030-58814-4_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58813-7

  • Online ISBN: 978-3-030-58814-4

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