Purpose: Despite much evidence on consumers' behaviors and veterinarians' perspectives against Covid-19, nor have the past inquiries surveyed ranchers and livestock breeders' hygiene behaviors against Covid-19, serving as the main actors in the supply chain of livestock-product. Therefore, this study intends to be notified of the hygiene behaviors of ranchers and sheep farmers to curtail the spread of Covid-19. Design/Methodology/Approach: Using the theory of planned behavior and health belief model, this study contributes to predicting sheep farmers' behaviors in Maragheh County, northwestern Iran (2021-2022). Based on the quantitative paradigm and non-experimental research design, the study benefits from the cross-sectional survey to gather the data of 207 sheep farmers using questionnaire. To analyze the data, linear regression model (LRM), analysis of variance, and univariate GLM were used. Findings: Using the Univariate General Linear Modeling (UGLM), it was found that subjective norms (SNs) ( ) and perceived behavioral control (PBC) ( ) have a significant influence on behavior, further, these factors have different variate values at three levels of production unit type, inclusive of mechanized (n = 27), semi-mechanized (n = 47), and traditional (n = 133), most value of SNs and PBC falls under the category of traditional production units. The interaction of the SNs variable (SNs × Production Unit) with the levels of the production unit is statistically significant (F = 1.87, p < 0.05; ). Original/Value: This study fulfilled the knowledge gap of the factors that contribute to forecasting hygiene behaviors of sheep farmers against Covid-19. The agenda of recommendations would have impacts on health and wellbeing of not just sheep farmers but also public people by promoting the preventive behaviors of ranchers and sheep farmers against the spread of Covid-19.
Ajzen, I., & Driver, B.L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3), 207-224. https://doi.org/10.1080/00222216.1992.11969889
Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: a review. British Journal of Health Psychology, 15(4), 797-824. doi: 1348/135910710X485826
Burimuah, V., Sylverken, A., Owusu, M., El-Duah, P., Yeboah, R., Lamptey, J., Frimpong, Y.O., Agbenyega, O., Folitse, R., Tasiame, W. & Emikpe, B., (2020). Sero-prevalence, cross-species infection and serological determinants of prevalence of Bovine Coronavirus in Cattle, Sheep and Goats in Ghana. Veterinary Microbiology, 241, 108544. https://doi.org/10.1016/j.vetmic.2019.108544
Babaei, V., Garmaroodi, G., Batebi, A., Alipour, D., Shahbaz, M., & Babazadeh, T. (2014). The effectiveness of an educational intervention based on the health belief model in the empowerment of stockbreeders against high-risk behaviors associated with Brucellosis. Journal of Education and Community Health, 1(3), 12-19. DOI: https://doi.org/10.20286/jech-010370
Burlea-Schiopoiu, A., Ogarca, R. F., Barbu, C.M., Craciun, L., Baloi, I.C., & Mihai, L.S. (2021). The impact of COVID-19 pandemic on food waste behaviour of young people. Journal of Cleaner Production, 294, 126333. https://doi.org/10.1016/j.jclepro.2021.126333
Colémont, A., & Van den Broucke, S. (2008). Measuring determinants of occupational health related behavior in Flemish farmers: an application of the theory of planned behavior. Journal of Safety Research, 39(1), 55-64. https://doi.org/10.1016/j.jsr.2007.12.001
Desjardins, E., MacRae, R., & Schumilas, T. (2010). Linking future population food requirements for health with local production in Waterloo Region, Canada. Agriculture and Human Values, 27(2), 129-140. DOIhttps://doi.org/10.1007/s10460-009-9204-y
Farzadmehr, M., Ghorbani, M., Sadeghi, M., Mosavi, & Bazzaz, S. (2019). The Effect of Education based on the Health Belief Model in Reducing the Risk Factors of the Brucellosis in Torbat Haydariyeh. Journal of Torbat Heydariyeh University of Medical Sciences, 6(4), 47-56. https://jms.thums.ac.ir/browse.php?a_id=608&sid=1&slc_lang=en
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Garforth, C.J., Bailey, A.P., & Tranter, R.B. (2013). Farmers’ attitudes to disease risk management in England: a comparative analysis of sheep and pig farmers. Preventive Veterinary Medicine, 110(3-4), 456-466. https://doi.org/10.1016/j.prevetmed.2013.02.018
Garforth, C. (2015). Livestock keepers' reasons for doing and not doing things which governments, vets and scientists would like them to do. Zoonoses and Public Health, 62, 29-38.https://doi.org/10.1111/zph.12189
Gray, C.D., & Kinnear, P.R. (2012). IBM SPSS statistics 19 made simple. Psychology Press.
Hashem, N.M., González-Bulnes, A., Rodriguez-Morales, A.J. (2020). Animal welfare and livestock supply chain sustainability under the COVID-19 outbreak: An overview. Frontiers in Veterinary Science, 7, 679. https://doi.org/10.3389/fvets.2020.582528
Hambolu, D., Freeman, J., & Taddese, H.B. (2013). Predictors of bovine TB risk behaviour amongst meat handlers in Nigeria: a cross-sectional study guided by the health belief model. PloS One, 8(2), e56091. https://doi.org/10.1371/journal.pone.0056091
ISNA (2021). Production of 3,000 tons of livestock and poultry products in Maragheh. News ID 1400011808620.
IRNA News Agency (2020a). Production of 34,000 tons of milk in Maragheh. News ID: 83808052.
IRNA News Agency (2020b). Annual production of 60,000 tons of livestock and poultry feed in Maragheh. News ID 84019202.
Jack, C., Hotchkiss, E., Sargison, N.D., Toma, L., Milne, C., & Bartley, D.J. (2017). A quantitative analysis of attitudes and behaviours concerning sustainable parasite control practices from Scottish sheep farmers. Preventive Veterinary Medicine, 139, 134-145. https://doi.org/10.1016/j.prevetmed.2017.01.018
Karimi Aval, M., Ansari-Moghadam, A.R., & Masoudy, G. (2019). Educational Intervention Based on Health Belief Model on the Adoption of Preventive Behaviors of Crimean-Congo Hemorrhagic Fever in Ranchers. Health Scope, 8(1), e14112. https://www.sid.ir/paper/978424/en
Kasem, S., Qasim, I., Al-Doweriej, A., Hashim, O., Alkarar, A., Abu-Obeida, A., & Ali, A.S. (2018). The prevalence of Middle East respiratory Syndrome coronavirus (MERS-CoV) infection in livestock and temporal relation to locations and seasons. Journal of Infection and Public Health, 11(6), 884-888. https://doi.org/10.1016/j.jiph.2018.01.004
Khazaee-Pool, M., Shahrvsand, S., & Naghibi, S.A. (2020). Predicting Covid-19 Preventive Behaviors Based on Health Belief Model: An Internet-Based Study in Mazandaran Province, Iran. Journal of Mazandaran University of Medical Sciences (JMUMS), 30(190), 56-66. 11. http://jmums.mazums.ac.ir/article-1-15530-en.html
Krejcie, R.V., & Morgan, D.W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
Masoudy, G., Karimi-aval, M., Ansari, A., Abasi, M. H., & Abaszadeh-bazi, M. (2016). The Predictors of Preventive Behaviors of Crimean-Congo Hemorrhagic Fever in Zabol Ranchers Based on Health Belief Model. Iranian Journal of Health Education and Health Promotion, 3 (4), 381-390. https://journal.ihepsa.ir/article-1-361-en.html
Maye, D., & Chan, K.W. (2020). On-farm biosecurity in livestock production: farmer behaviour, cultural identities and practices of care. Emerging Topics in Life Sciences, 4(5), 521-530. https://doi.org/10.1042/ETLS20200063
Munro, B.H. (2005). Statistical methods for health care research (Vol. 1). lippincott williams & wilkins.
Munyua, P., Corman, V.M., Bitek, A., Osoro, E., Meyer, B., Müller, M.A., ... & Drosten, C. (2017). No serologic evidence of Middle East respiratory syndrome coronavirus infection among camel farmers exposed to highly seropositive camel herds: a household linked study, Kenya, 2013. The American journal of tropical medicine and hygiene, 96(6), 1318-1324. doi: 4269/ajtmh.16-0880
Murray, J., Kiupel, M., & Maes, R.K. (2010). Ferret coronavirus-associated diseases. Veterinary Clinics. Exotic Animal Practice, 13(3), 543-560. Doi :10.1016/j.cvex.2010.05.010
Nasirzadeh, M., & Aligol, M. (2020). Assessment of Knowledge, Attitude, and Factors Associated with the Preventive Behaviors of Covid-19 in Qom, Iran, in 2020. Qom University of Medical Sciences Journal, 14(7), 50-57 URL: http://journal.muq.ac.ir/article-1-2855-fa.html
Pakravan-Charvadeh, M. R., Mohammadi-Nasrabadi, F., Gholamrezai, S., Vatanparast, H., Flora, C., & Nabavi-Pelesaraei, A. (2021). The short-term effects of COVID-19 outbreak on dietary diversity and food security status of Iranian households (A case study in Tehran province). Journal of Cleaner Production, 281, 124537. DOI: 1016/j.jclepro.2020.124537
Paragas, J., Whitehouse, C.A., & Endy, T.P., Bray, M. (2004). A simple assay for determining antiviral activity against Crimean-Congo hemorrhagic fever virus. Antiviral Research, 62(1), 21-25. DOI: 1016/j.antiviral.2003.11.006
Palmer, S. (2009). Factors affecting livestock disease reporting and biosecurity practices: a study of West Australian sheep and cattle producers (Doctoral dissertation, Murdoch University).
Paquette, C.C., Schemann, K.A., & Ward, M.P. (2020). Knowledge and attitudes of Australian livestock producers concerning biosecurity practices. Australian Veterinary Journal, 98(11), 533-545. https://doi.org/10.1111/avj.13005
Rai, R.B., Hansha, A., Rai, S., Singh, B., Kumar, H., Singh, A.K., & Dhama, K. (2011). Prevalence of Rota and coronavirus infections in calves of Barabanki and Raebareli districts of Uttar Pradesh. Indian Journal of Veterinary Pathology, 35(1), 73-74.
Renault, V., Damiaans, B., Humblet, M.F., Jiménez Ruiz, S., García Bocanegra, I., Brennan, M.L., & Saegerman, C. (2020). Cattle farmers’ perception of biosecurity measures and the main predictors of behaviour change: The first European‐wide pilot study. Transboundary and Emerging Diseases. https://doi.org/10.1111/tbed.13935
Rahmanian, M., Kamali, A., Foroughian, M., Kalani, N., Esmaealpour, N., & Hatami, N. (2020). Knowledge, Attitude and Practice of Medical and Administrative Staff in Exposure and Non-exposure to Covid 19 Virus in Jahrom: A cross-sectional descriptive study in 2020. Journal of Arak University of Medical Sciences, 23(5) URL: http://jams.arakmu.ac.ir/article-1-6423-fa.html.
Seid, K., Shiferaw, A.M., Yesuf, N.N., Derso, T., & Sisay, M. (2020). Livestock owners’ anthrax prevention practices and its associated factors in Sekota Zuria district, Northeast Ethiopia. BMC Veterinary Research, 16(1), 39, 1-8. https://doi.org/10.1186/s12917-020-2267-0
Toma, L., Low, J.C., Ahmadi, B.V., Matthews, L., & Stott, A.W. (2015). An analysis of cattle farmers' perceptions of drivers and barriers to on-farm control of Escherichia coli O157. Epidemiology & Infection, 143(11), 2355-2366. doi: 1017/S0950268814003045
Velde, F.V., Claerebout, E., Cauberghe, V., Hudders, L., Van Loo, H., Vercruysse, J., & Charlier, J. (2015). Diagnosis before treatment: Identifying dairy farmers’ determinants for the adoption of sustainable practices in gastrointestinal nematode control. Veterinary Parasitology, 212(3-4), 308-317. DOI: 1016/j.vetpar.2015.07.013
Vergara-Alert, J., Vidal, E., Bensaid, A., & Segalés, J. (2017). Searching for animal models and potential target species for emerging pathogens: Experience gained from Middle East respiratory syndrome (MERS) coronavirus. One Health, 3, 34-40. https://doi.org/10.1016/j.onehlt.2017.03.001
Wilson, L., Rhodes, A.P., & Dodunski, G. (2015). Parasite management extension–challenging traditional practice through adoption of a systems approach. New Zealand Veterinary Journal, 63(6), 292-300. https://doi.org/10.1080/00480169.2015.1056853
Yazdanpanah, M., Abadi, B., Komendantova, N., Zobeidi, T., Sieber, S. (2020). Some at Risk for COVID-19 Are Reluctant to Take Precautions, but Others Are Not: A case from rural in Southern Iran. Frontiers in Public Health, 8, 1-8. https://doi.org/10.3389/fpubh.2020.562300
Yazdanpanah, M., Forouzani, M., Hojjati, M. (2015). Willingness of Iranian young adults to eat organic foods: Application of the Health Belief Model. Food quality and preference, 41, 75-83. https://doi.org/10.1016/j.foodqual.2014.11.012
Abadi, B. and Alambeigi, A. (2024). Factors affecting ongoing preventive behaviors of sheep farmers against the prevalence of Covid-19. Journal of Research and Rural Planning, 13(3), 51-72. doi: 10.22067/jrrp.v13i3.2205-1047
MLA
Abadi, B. , and Alambeigi, A. . "Factors affecting ongoing preventive behaviors of sheep farmers against the prevalence of Covid-19", Journal of Research and Rural Planning, 13, 3, 2024, 51-72. doi: 10.22067/jrrp.v13i3.2205-1047
HARVARD
Abadi, B., Alambeigi, A. (2024). 'Factors affecting ongoing preventive behaviors of sheep farmers against the prevalence of Covid-19', Journal of Research and Rural Planning, 13(3), pp. 51-72. doi: 10.22067/jrrp.v13i3.2205-1047
CHICAGO
B. Abadi and A. Alambeigi, "Factors affecting ongoing preventive behaviors of sheep farmers against the prevalence of Covid-19," Journal of Research and Rural Planning, 13 3 (2024): 51-72, doi: 10.22067/jrrp.v13i3.2205-1047
VANCOUVER
Abadi, B., Alambeigi, A. Factors affecting ongoing preventive behaviors of sheep farmers against the prevalence of Covid-19. Journal of Research and Rural Planning, 2024; 13(3): 51-72. doi: 10.22067/jrrp.v13i3.2205-1047
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