Assessment of the sensitivity of the bovine tuberculosis eradication program in a high prevalence region of Spain using scenario tree modeling

De la Cruz, María Luisa; Pozo Piñol, Pilar; Grau, Anna; Nacar, Jesús; Bezos Garrido, Javier; Pérez, Andrés; Domínguez Rodríguez, Lucas José; Sáez, José Luís; Mínguez-González, Olga; Juan Ferré, Lucía De; Álvarez Sánchez, Julio

Assessment of the sensitivity of the bovine tuberculosis eradication program in a high prevalence region of Spain using scenario tree modeling

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Official URL

https://www.sciencedirect.com/science/article/pii/S0167587718306676?via%3Dihub

Publication date

2019

Authors

De la Cruz, María Luisa

Pozo Piñol, Pilar

Grau, Anna

Nacar, Jesús

Bezos Garrido, Javier

Pérez, Andrés

Domínguez Rodríguez, Lucas José

Sáez, José Luís

Mínguez-González, Olga

Juan Ferré, Lucía De

Publisher

ELSEVIER SCI LTD

Citations

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URI

https://hdl.handle.net/20.500.14352/93315

Abstract

In spite of the efforts invested to eradicate bovine tuberculosis (bTB) in cattle, the disease is still present in several developed countries, including Spain. Among the factors related with disease persistence in high prevalence areas, the lack of sensitivity of the screening test for detection of infected herds [single intradermal tuberculin (SIT) test] can play a major role. Here, a scenario tree model mimicking the diagnostic test scheme in place in the region of Castilla y Leon (Spain) was developed to estimate the probability of detecting bTB in an infected-non detected officially tuberculosis free (OTF) herd (herd sensitivity, HSe). In order to do so the probability of detecting at least one positive animal in the SIT test with/without post-mortem (detection of lesions and culture) confirmation in an infected herd was estimated using Monte Carlo simulation through @ RISK (Palisade Co, NY, USA). Uncertainty on the accuracy of the diagnostic tests was introduced in the model using distributions based on the literature. The performance of the model was evaluated by comparing the predicted number of SIT/post-mortem positive animals in infected herds with those observed in newly detected bTB-infected herds in the region in 2011–2015. The estimated HSe of the SIT test was 76.2% (95% probability interval: 19.8–97.6). According to the model, bTB infection would be then confirmed through culture in 65.3% (95% PI: 50.0–82.3) of the herds detected through the SIT test, so that overall the proportion of infected-non detected OTF herds in which the infection could be confirmed after the initial SIT test was 49.6% (95% PI: 9.75–80.3). The predicted HSe of both SIT test and culture was directly correlated with herd size. Results from the model suggest a moderate but highly variable HSe of the current surveillance system in place for bTB detection in OTF herds located in high prevalence areas, that could be maximized by performing multiple tests within a year as indicated in the Spanish eradication program (with a median SIT HSe of 87% when two consecutive tests were considered). In addition, these results highlight the usefulness of performing subsequent SIT tests to rule out infection in SIT-positive herds even when the causative agent cannot be isolated.

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