Seroprevalence and risk factors of bluetongue virus in sheep of Chattogram, Bangladesh

Munmun, Tahura Khanam; Islam, Shariful; Zamil, Shafayat; Rahman, Md. Ashiqur; Abedin, Josefina; Ahad, Abdul; Islam, Ariful

doi:10.14202/vetworld.2022.1589-1594

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…20 Therefore, the easy contact these vectors have with cattle in the BTV viremia phase, subsequently infecting the sheep due to the proximity between these species when managed together, increases the chances of BTV infection in the most vulnerable species. Some studies on the occurrence of anti-BTV antibodies in sheep described several risk factors favoring this condition in some countries, including China, 16 Iran, 8 Pakistan, 21 and Bangladesh, 22 but so far never reporting contact between sheep and cattle as a risk factor.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2023

JMEN

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Section: Discussionmentioning

confidence: 99%

Untitled

2023

JMEN

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Risk factors associated with the occurrence of antibodies against bluetongue virus in sheep in the state of Paraná, Brazil

Torres Carrasco,

Pinheiro,

Obrzut

et al. 2023

JMEN

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Bluetongue is an arbovirus that affects different animal species, being most relevant in sheep because of the possible disease severity. This study aimed to evaluate the occurrence of antibodies against bluetongue virus (BTV) in sheep in the central-western region of Paraná, Brazil, and the risk factors for infection in the species. This is the first study to determine these factors in the southern region of Brazil. A serological survey using agar gel immunodiffusion was positive in 28.1% (108/350) of the animals tested, and 91.66% (11/12) of the farms analyzed had at least one seropositive animal. Furthermore, contact between sheep and cattle was determined as the main risk factor for BTV infection in sheep, followed by flooding, a history of abortion, and contact with rivers and riparian forests. In conclusion, the occurrence of anti-BTV antibodies in flocks in Paraná was moderate however, the virus is still circulating in these animals, so greater epidemiological surveillance and implementation of programs to control the disease are necessary.

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Evaluation of machine learning algorithms in predicting bluetongue virus infection occurrence based on different combinations of predictive risk factors

Safavi

Keywanloo

Tamannaee

2023

Preprint

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Background: Bluetongue virus (BTV) is an arbovirus that causes lots of economic losses worldwide. The most common method of transmission is by vector Culicoides midges. Due to this close relationship between the BTV infection and the vectors, many climate-related risk factors play a role in the occurrence of the disease. The predictive ability of Logistic Regression (LR), Support Vector Machines (SVM), Decision Tree (DT), Random Forest (RF), XGBoost and Artificial Neural Networks (ANN) algorithms in predicting the BTV infection occurrence was assessed. Evaluated predictive risk factors included 19 standard bioclimatic variables, meteorological variables, ruminant population density, elevation and land cover data. Results: Based on the results of the ExtraTreesClassifier algorithm, 19 variables were identified as important features in prediction which mostly included bioclimatic variables related to temperature. Different combinations of predictive risk factors were evaluated in separate models. ANN and RF algorithms, especially when all predictor variables were included together showed the best performance in predicting the BTV infection occurrence. Conclusions: RF and ANN algorithms outperformed other machine learning methods in predicting the occurrence of BTV infection, especially when all predictive risk factors were included. Moreover, compared to meteorological, ruminant population density, altitude and land cover features, bioclimatic variables especially those related to temperature played a more important role in predicting the occurrence of BTV infection using machine learning algorithms. The results of the present study could be helpful in planning BTV infection surveillance and adopting control and preventive strategies.

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Seroprevalence and risk factors of bluetongue virus in sheep of Chattogram, Bangladesh

Cited by 3 publications

References 22 publications

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Risk factors associated with the occurrence of antibodies against bluetongue virus in sheep in the state of Paraná, Brazil

Evaluation of machine learning algorithms in predicting bluetongue virus infection occurrence based on different combinations of predictive risk factors

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