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Veterinary Epidemiology
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“Assuming a default 50% prevalence value and a 95% confidence level, a convenience sample of 141 cats corresponds to an absolute error of 8.25% [29, 30].”
From Survey of Dirofilaria immitis antigen and antibodies to Leishmania infantum and Toxoplasma gondii in cats from Madeira Island, Portugal (2020) · cites this paper as [30]
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Items 801–883 of 883
Gürtler, R. E., Enriquez, G. F., Gaspe, M. S., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23819868
Gürtler, R. E., Enriquez, G. F., Gaspe, M. S., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23819871
Tinsae, E., & Tigist, T. (2025) · Journal of Veterinary Medicine and Animal Health · doi:10.5897/jvmah2025.1093
Nonexperimental Designs 1: Surveys
Mugwe, J. N., & Runo, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-1892-0_12 · Cited by 1
Bovine Lungworm: Prevalence and Associated Risk Factors in Haramaya Town, Ethiopia
Yirsa, T., & Galgalo, M. H. (2026) · Journal of Parasitology Research · doi:10.1155/japr/2776754
Mekuria, S., & Kalsa, A. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.70786
Seid, M. M., Fitwi, B. A., & Melkamsew, A. T. (2026) · Veterinary Medicine International · doi:10.1155/vmi/5266912
Prevalence of Honeybee Parasites, Pests, and Their Associated Risk Factors in Central EthiopiaPreprint
Bulcha, N. A., Iteya, W. T., Dilba, G. M., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8691322/v1
Malaria Burden and Socio-environmental Predictors Among Obstetric Fistula Patients in Kano, Nigeria
Khalid, M. A., Abdu, H., Gawuna, N. Y., et al. (2026) · American Journal of Zoology · doi:10.11648/j.ajz.20260901.11
Nath, T. C., Nyema, J., Raquib, R., Siddiki, T., Tasnim, J., Prity, Z. S., Tarek, M., Mukutmoni, M., Islam, K. M., & Ahmed, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.05.704122
Ouh, I.-O. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27041760
Yitie, M. T., Temesgen, A. B., Yimam, T. M., et al. (2026) · The Journal of Applied Poultry Research · doi:10.1016/j.japr.2026.100693
Marcelino, I., Monti, G., Cornelissen, P., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1751586
Shambhi, M., Jaiswal, K., & Mishra, S. (2026) · Research Square · doi:10.21203/rs.3.rs-8868006/v1
Hasan, F. B., Tafese, W., Gutama, K. P., et al. (2026) · Discover Animals · doi:10.1007/s44338-026-00177-z
Khandelwal, S., Ranjeet, P., Kumar, P. M., et al. (2025) · Indian Journal of Comparative Microbiology Immunology and Infectious Diseases · doi:10.5958/0974-0147.2025.00016.8
Adah, D. A., Oladosu, G. A., Obebe, M., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05440-9
“The precision (d) was set at 8%, with a 95% confidence level [27].”
Sisodiya, K., Singh, M., Shakya, M., Sharma, A. K., Bhangale, G. N., Maheshwari, P., Mourya, A., Yadav, J. S., & Jatav, G. P. (2026) · Medical and Veterinary Entomology · doi:10.1111/mve.70064
“The questionnaire consisting of multiple-choice responses was developed following Thrusfield (2018) with minor modifications to suit local farming practices.”
Maru, M., Ayele, A., Tarekegn, Z. S., et al. (2026) · Veterinary Medicine International · doi:10.1155/vmi/5320200
Dubie, T., Gobena, M., Syoum, A., et al. (2026) · Veterinary Medicine International · doi:10.1155/vmi/1107723
Zeleke, M. A. (2026) · BMC Infectious Diseases · doi:10.1186/s12879-026-13267-w
“The sample size was calculated using the formula to determine prevalence in simple random sampling (SRS) [25] Using 95% confidence level, 5% Margin of error and expected prevalence of 11% [26] Where: n = required sample size.”
Bovine Ocular Squamous Cell Carcinoma—A Descriptive Epidemiological Survey in the Azores, Portugal
Bilhastre, B., Vala, H., Ribeiro, A. C., et al. (2026) · Veterinary Sciences · doi:10.3390/vetsci13040371
Safwat, M. S., Abdallah, E. S. A., Abd-Elfatah, E. B., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05416-9
“…(PPV) and negative predictive value (NPV) were calculated using the estimated sensitivity and specificity of the PoC kits and the previously reported prevalence of FIV in Egyptian cats, 31.6% [4], using the following formulas [19]: FIV-non-infected cats tested negative across all three assays.”
InfluentialSerological investigation of foot and mouth disease in cattle in East Bale Zone, Ethiopia
Geleto, F. T., Dilba, G. M., Muluneh, A., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05496-7
Paulos, K., Mosisa, W., & Diriba, A. (2026) · Scientific Reports · doi:10.1038/s41598-026-68780-4
Yonas, T., Sulayeman, M., & Adamu, K. (2026) · Veterinary Medicine International · doi:10.1155/vmi/9956146
Joy, T. A. (2026) · Research Square · doi:10.21203/rs.3.rs-9525934/v1
Kiprono, E., Abkallo, H. M., Nyamota, R., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1797693
The phenomics landscape of major diseases in cattle – a comprehensive review
Jiang, Z., Michal, J. J., Sharma, A., Kasimanickam, R. K., Wang, Y., Abouelhag, H., HAKIM, A., Effat, M., IBRAHIM, A., Sallam, A. M., et al. (2026) · Animal Advances · doi:10.48130/animadv-0026-0008
Conceição, M. D. S., Melo-Silva, C. A., Souza, L. B. D., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9508264/v1
Elsohaby, I., Zubair, M., Baqar, Z., Ma, S. Y., Woodhouse, F., Gray, J., Almendros, A., Beatty, J. A., & Barrs, V. R. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05560-2
Gareh, A., Elbarbary, N. K., El-Halim, M. O. A., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05519-3
Balla, E. F., Besseboua, O., Dergal, N. B., et al. (2026) · Pathogens · doi:10.3390/pathogens15050546
AL-Hosary, A. (2026) · Research Square · doi:10.21203/rs.3.rs-9245279/v1
Milkyas, M., Kechero, Y., Kaba, T., et al. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.71003
Shanta, S. A., Akter, M. T., Aktaruzzaman, M., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9910040/v1
do Nascimento, S. P. O., de Moraes, W. A., da Silva, W. W., et al. (2026) · Revista Brasileira de Engenharia de Pesca · doi:10.18817/repesca.v17i1.4494
Dessie, T. A., Abdi, K. D., Getahun, Y. C., et al. (2026) · BMC Microbiology · doi:10.1186/s12866-026-05294-z
Gobe, M., Deneke, Y., Abafaji, G., Michael, D. H., Shumi, E., Kabir, S. M. L., & Taddese, D. (2026) · Veterinary Medicine International · doi:10.1155/vmi/8878629
Nuhay, Ç., Çelik, A. E., & Yalcin, S. (2026) · Polish Journal of Veterinary Sciences · doi:10.24425/pjvs.2026.1278
Adah, B. M. J., Mailafia, S., Ameh, A. J., et al. (2026) · Open Journal of Medical Microbiology · doi:10.4236/ojmm.2026.162006
Mulugeta, Y., Mulugeta, G., Belay, N., et al. (2026) · Journal of Parasitology Research · doi:10.1155/japr/6971937
Camel pestivirus infection in northern Saudi Arabia
Saeed, I. K., Ali, Y. H., Abdellatif, M. M., et al. (2026) · Onderstepoort Journal of Veterinary Research · doi:10.4102/ojvr.v93i1.2262
Hussen, J., Falemban, B., Alkuwayti, M. A., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05635-0
Seyoum, W., Daniel, T., Kinfe, G., et al. (2026) · Environmental Health Insights · doi:10.1177/11786302261463607
Ahmed, M. J., Bhandari, P., Bhuiyan, M. I. H., Chalise, R., Sarker, S., Yousuf, M. S. B., Easin, M., Rahi, M. R. U., Chakrabarty, H., Paul, A., et al. (2026) · Veterinary Medicine International · doi:10.1155/vmi/3617712
de Medeiros, K. B., de Medeiros, A. B. M., de Sousa, D. L. C., Sobrinho, J. D. D. S., Casella, T., Santos, C. S. A. B., & de Azevedo, S. S. (2026) · Brazilian Journal of Microbiology · doi:10.1007/s42770-026-02004-9
Balami, S. B., Muhammad, A. S., Musa, H. I., et al. (2026) · Acta Tropica · doi:10.1016/j.actatropica.2026.108210
Pseudorabies virus in wild swine: current evidence and interpretations from monitoring studies
Müller, T., Denzin, N., & Freuling, C. M. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05661-y
Garcia, Y. L. N. L., Lima, F. H., Geraldini, D. B., Gomes, A. J. C., Bortolato, I. D. V. F., Celis, E. L. H., Neto, G. G., Ando, N. F., Rodrigues, C. S., Cesario, R. A., et al. (2026) · Viruses · doi:10.3390/v18070738
Shapa, Y., Tora, E., Mohammed, N., et al. (2026) · International Journal of Tropical Insect Science · doi:10.1007/s42690-026-01911-6
“A total of 384 cattle were expected from study district (Thrusfield and Christley, 2018).”
de Bruin, M., Rabé, S., Sekujika, O. N., et al. (2026) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0014475
“The sample size for the project was calculated to be 138, according to the sample calculation for estimation of patho-gen prevalence, using simple random sampling [20].”
Fritzen, J. T. T., dos Santos, C. C. A., Yoshitani, G. D., et al. (2026) · Semina Ciências Agrárias · doi:10.5433/1679-0359.2026v47n1p173
Mohammed, E. S., Elshahawy, I., Fawy, S. A.-M., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1865200
Elmi, Y. A., Shimelis, S., Alemu, S., et al. (2026) · Journal of Parasitology Research · doi:10.1155/japr/4621824
Gattan, H. S., Marzok, M., Alruhaili, M. H., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1895496
Abdalla, D. A. G., Abdellatif, M. S., SOBHY, M. M., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1839108
Zahan, K. M. I., Chimnoi, W., Antara, R. J. N., et al. (2026) · Veterinary Sciences · doi:10.3390/vetsci13080746
Seroprevalence and associated risk factors of Toxoplasma gondii in goats in Choma District, Zambia
Zimba, C., Munyeme, M., Kallu, S. A., et al. (2026) · Veterinary and Animal Science · doi:10.1016/j.vas.2026.100798
Gizaw, F., Erecho, G. S., Sibhatu, D., Dabele, D. T., Aklilu, F., & Mohammed, A. Y. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05795-z
Rasool, M., Fatima, M., Mulazim, S., et al. (2026) · Tropical Animal Health and Production · doi:10.1007/s11250-026-05100-y
dos Santos, B. G. T., Soares, D. L., & de Almeida, D. C. (2026) · Research Society and Development · doi:10.33448/rsd-v15i8.51514
Alemayehu, H., Alemneh, T., Birhan, M., et al. (2026) · Veterinary and Animal Science · doi:10.1016/j.vas.2026.100821
Epidemiological study of strongyle infections in equines in Egypt: prevalence and risk factors
Selim, A., Marzok, M., Gattan, H. S., Alruhaili, M. H., Ismail, H., Almubarak, A. I., & Hereba, A. M. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1901312
Bakre, A. A., Olaleye, J. T., & Akinniyi, O. O. (2026) · Discover Animals · doi:10.1007/s44338-026-00243-6
Lemecha, A. B., Bune, W. M., Ogeto, A. B., et al. (2026) · Discover Animals · doi:10.1007/s44338-026-00246-3
Molecular Detection, Epidemiology and Genetic Diversity of Babesia microti Infecting Wild Rodents
Munir, H. M., Naeem, M., Ijaz, M., et al. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.71196
Álvares, F. B. V., Silva, J. O., Neto, B. F. L., Filho, G. M. S., Feitosa, T. F., & Vilela, V. L. R. (2026) · Pathogens · doi:10.3390/pathogens15090932
Elmahallawy, E. K., Abdo, W., Cano‐Terriza, D., et al. (2026) · BMC Veterinary Research · doi:10.1186/s12917-026-05699-y
Evidence of West Nile Virus Infections in Wild Boars ( Sus scrofa ) in the Netherlands, 2018–2021
Streng, K., Costa, E. D. F., van Oort, S., et al. (2026) · Zoonoses and Public Health · doi:10.1111/zph.70088
Oyedepo, M. O., Oladele, O. A., Bakre, A. A., Anifowose, O. R., Akande, F. A., Olofintuyi, O. K., & Adesola, R. O. (2026) · Veterinary Medicine International · doi:10.1155/vmi/3818821
Dubie, T., Abera, B., Hamid, M., et al. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.71178
Adino, G. W., Oliva, G., & Mamo, G. (2026) · Discover Public Health · doi:10.1186/s12982-026-02942-7
Moguel-Chin, W. I., Suárez-Galaz, A., Chan-González, L., et al. (2026) · Journal of Helminthology · doi:10.1017/s0022149x2610217x
“Univariate analyses were performed between the dependent variables and their predictors to quantify the strength of association and identify variables likely to be included in the multivariate GLMs and GLMMs ( p < 0.15) (Thrusfield et al. 2018).”
InfluentialAyele, W., Alemu, N. Y., Mekonnen, S. A., et al. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.71237
“This raises the possibility of reverse causality, where infection affects body condition rather than poor body condition increasing susceptibility to infection (Thrusfield 2018 ).”
Yin, Y., Feng, Y., Wang, L., et al. (2026) · Microorganisms · doi:10.3390/microorganisms14102168
Loy, D. S., Roundtree, M. K., Hurst, T., et al. (2026) · Frontiers in Veterinary Science · doi:10.3389/fvets.2026.1944700
Arefayne, N., Woldie, B. M., Gebreselassie, H. K., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10670228/v1
Masawe, V. E., Okumu, T. A., Mbindyo, S., et al. (2026) · Veterinary Medicine International · doi:10.1155/vmi/5116208
Jiang, L., Xu, Z., Wang, L., et al. (2026) · Tropical Animal Health and Production · doi:10.1007/s11250-026-05372-4
Sendafa, Y. B., Geraro, U., Woldegiorgis, A. G., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10850347/v1
Metadata
- Authors
- Thrusfield, M., Christley, R., Brown, H., Diggle, P. J., French, N., Howe, K., Kelly, L., O'Connor, A., Sargeant, J., & Wood, H.
- Affiliations
- University of Edinburgh (GB)
- University of Liverpool (GB)
- Roslin Institute (GB)
- Lancaster University (GB)
- Massey University (NZ)
- University of Exeter (GB)
- University of Strathclyde (GB)
- Iowa State University (US)
- Ontario Veterinary College (CA)
- ORCID
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2018-02-23
- OpenAlex
- W2896231580
- Cited by
- 892
- References
- 0
- Citations by year
- 2026: 103 · 2025: 133 · 2024: 148 · 2023: 136 · 2022: 115 · 2021: 94 · 2020: 56 · 2019: 16 · 2018: 11
- FWCI
- 79.43
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Disease Management and Epidemiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Zoonotic diseases and public health
- Health Sciences › Health Professions › Speech and Hearing › Veterinary Practice and Education Studies
- Keywords
- epizootiology, animal diseases, disease surveillance, risk factors
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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