Comparative Intradermal Tuberculin Test in Dairy Cattle in the North of Ecuador and Risk Factors Associated with Bovine Tuberculosis

Proaño-Pérez, Freddy; Benítez‐Ortiz, Washington; Celi-Erazo, Maritza; Ron, Lenin; Benitez-Capistros, Ricardo; Portaels, Françoise; Rigouts, Leen; Lindén, Annick

doi:10.4269/ajtmh.2009.09-0182

Cited by 14 publications

(15 citation statements)

References 33 publications

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“…Farmers try to increase herd sizes for increased efficiency gains, but increase in herd size may lead to overcrowding causing enhanced cattle‐to‐cattle transmission of M. bovis . This finding is in agreement with those of similar studies that indicated the association of herd size with the prevalence of BTB (More & Good, ; Pavlik, Matlova, Dvorska, Shitaye, & Parmova, ; Proaño‐Perez et al., ; Wright et al., ), including that of Omer et al. () who identified herd size as one of the major risk factors for SICTT reactivity in the Maekel region, one of our current study areas in Eritrea.…”

Section: Discussionsupporting

confidence: 93%

Farm-level risk factors associated with bovine tuberculosis in the dairy sector in Eritrea

Ghebremariam

Michel

Nielen

et al. 2017

Transbound Emerg Dis

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SummaryThe aim of our study was to determine the association of selected potential risk factors with the presence of bovine tuberculosis (BTB) in dairy herds in Eritrea. A case-control study was conducted in the three major milk-producing regions of the country by stratified random sampling of 61 case and 65 control herds combined with completion of a standardized pretested questionnaire pertaining 36 relevant risk factors (variables). The variables were divided into two clusters, based on potential association with either "introduction" or "establishment" of BTB on the farms to elucidate association with incident or prevalent cases separately. Subsequent to univariable analysis of the 36 risk factors at herd level, 14 of these were offered to multivariable logistic regression models. Farms with higher numbers of cows, and those with concrete floors, were 3.6, and 7.5 times more at risk for presence of BTB, respectively, compared with their references. These findings will be useful as entry points for future informed decision-making towards BTB control and eradication programme in the country. K E Y W O R D Sbovine tuberculosis, case-control study, risk factors, dairy, Eritrea

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Section: Discussionsupporting

confidence: 93%

Farm-level risk factors associated with bovine tuberculosis in the dairy sector in Eritrea

Ghebremariam

Michel

Nielen

et al. 2017

Transbound Emerg Dis

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“…But it is higher than the reports of Mamo et al (2009) at Dire Dawa, and Gumi et al (2011) in Southern Ethiopia. Similarly, it is significantly higher than previously reported prevalence of some other authors at different sites in Ethiopia (Gumi et al, 2011(Gumi et al, , 2012Tamiru et al, 2013;Admasu et al, 2014;Ameni and Aklilu, 2007;Romha et al, 2014;Nuru et al, 2015), in Zambia (Pandey et al, 2013), in Ecuador (Proano-Perez et al, 2009) in Bangladesh (Mondal et al, 2014).…”

Section: Discussionmentioning

confidence: 50%

Prevalence of camel tuberculosis and associated risk factors in camels slaughtered at Akaki Abattoir, Ethiopia

Jibril¹,

Mamo²,

Hanur³

et al. 2016

Ethiop. Vet. J.

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A cross sectional abattoir based study was conducted from February 2014 to October, 2015 on camels slaughtered at Akaki municipality abattoir to determine the prevalence of Tuberculosis in camels and assess the association of risk factors with the prevalence of Tuberculosis in camels using single intra-dermal comparative cervical tuberculin (SICCT). Of the total of 387 camels investigated, overall camel tuberculosis prevalence of 9.82% (95% CI: 6.84%-12.8%) at a cut off value ≥ 4mm and prevalence of 17.05% (95% CI: 13.3%-20.82%) at a cut off value ≥ 2mm, were recorded. Pearson chi-square test reveals, there was statistically significant association of prevalence with the origin of camels at a cut off value ≥ 2mm (χ 2 = 13.461, P=0.000). However, there was no statistically significant association (P>0.05) of risk factors of age, sex, body condition and origin of camels with the prevalence at a cut off value ≥ 4mm.The multivariate logistic regression analysis shows at a cut off value ≥ 4mm, being old aged (adjusted OR= 0.999, 95% CI: 0.450-2.22), female (adjusted OR= 2.226, 95% CI: 0.5099-9.719) were identified as risk factors for positive tuberculin reactivity. Similarly, the multivariate analysis at a cut off value ≥ 2mm, showed being moderate body conditioned (adjusted OR= 1.583, 95% CI: 0.7399-3.385) was identified as risk factor for higher tuberculin reactivity. The present study aimed to determine tuberculin reactivity of camels and assess associated risk factors with the prevalence. It was concluded that Tuberculosis is an existing phenomenon in camels. It is therefore, recommended that detailed epidemiological investigations should be conducted for the better understanding of the epidemiology of the disease in camels of pastoral communities with particular emphasis to 24 Ethiop. Vet. J., 2016, 20 (1), 23-38 Yasmin Jibril et al., zoonotic significance in camel rearing areas of Ethiopia.

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“…Proaño-Perez et al . [50] reported a negative correlation between the age of cattle and the response to avian tuberculin. This result suggests that young animals are more likely to show false positive reactions to SITT than adult animals.…”

Section: Discussionmentioning

confidence: 99%

Modeling Tuberculosis Dynamics, Detection and Control in Cattle Herds

et al. 2014

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Epidemiological models are key tools for designing and evaluating detection and control strategies against animal infectious diseases. In France, after decades of decrease of bovine tuberculosis (bTB) incidence, the disease keeps circulating. Increasing prevalence levels are observed in several areas, where the detection and control strategy could be adapted. The objective of this work was to design and calibrate a model of the within-herd transmission of bTB. The proposed model is a stochastic model operating in discrete-time. Three health states were distinguished: susceptible, latent and infected. Dairy and beef herd dynamics and bTB detection and control programs were explicitly represented. Approximate Bayesian computation was used to estimate three model parameters from field data: the transmission parameter when animals are inside (βinside) and outside (βoutside) buildings, and the duration of the latent phase. An independent dataset was used for model validation. The estimated median was 0.43 [0.16–0.84] month−1 for βinside and 0.08 [0.01–0.32] month−1 for βoutside. The median duration of the latent period was estimated 3.5 [2]–[8] months. The sensitivity analysis showed only minor influences of fixed parameter values on these posterior estimates. Validation based on an independent dataset showed that in more than 80% of herds, the observed proportion of animals with detected lesions was between the 2.5% and 97.5% percentiles of the simulated distribution. In the absence of control program and once bTB has become enzootic within a herd, the median effective reproductive ratio was estimated to be 2.2 in beef herds and 1.7 in dairy herds. These low estimates are consistent with field observations of a low prevalence level in French bTB-infected herds.

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Comparative Intradermal Tuberculin Test in Dairy Cattle in the North of Ecuador and Risk Factors Associated with Bovine Tuberculosis

Cited by 14 publications

References 33 publications

Farm-level risk factors associated with bovine tuberculosis in the dairy sector in Eritrea

Farm-level risk factors associated with bovine tuberculosis in the dairy sector in Eritrea

Prevalence of camel tuberculosis and associated risk factors in camels slaughtered at Akaki Abattoir, Ethiopia

Modeling Tuberculosis Dynamics, Detection and Control in Cattle Herds

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