Resumen:
Unidentified abortion, of which leptospirosis, brucellosis, and ovine enzootic abortion are
important factors, is the main cause of disease spread between animals and humans in all agricultural
systems in most developing countries. Although there are well-defined risk factors for these diseases,
these characteristics do not represent the prevalence of the disease in different regions. This study
predicts the unidentified abortion burden from multi-microorganisms in ewes based on an artificial
neural networks approach and the GLM. Methods: A two-stage cluster survey design was conducted to estimate the seroprevalence of abortifacient microorganisms and to identify putative factors of
infectious abortion. Results: The overall seroprevalence of Brucella was 70.7%, while Leptospira spp.
was 55.2%, C. abortus was 21.9%, and B. ovis was 7.4%. Serological detection with four abortion causing microorganisms was determined only in 0.87% of sheep sampled. The best GLM is integrated
via serological detection of serovar Hardjo and Brucella ovis in animals of the slopes with elevation
between 2600 and 2800 meters above sea level from the municipality of Xalatlaco. Other covariates
included in the GLM, such as the sheep pen built with materials of metal grids and untreated wood,
dirt and concrete floors, bed of straw, and the well water supply were also remained independently
associated with infectious abortion. Approximately 80% of those respondents did not wear gloves
or masks to prevent the transmission of the abortifacient zoonotic microorganisms. Conclusions:
Sensitizing stakeholders on good agricultural practices could improve public health surveillance.
Further studies on the effect of animal–human transmission in such a setting is worthwhile to further
support the One Health initiative.
Descripción:
Using
data generated from an epidemiological survey and from the lab, the abortion burden of multiple
microorganisms in sheep was predicted according to the artificial neural network approach and Gen eralized Linear Model (GLM) in a geographic area of the Mexican highlands. The results showed that
the best GLM is integrated by the serological detection of Leptospira interrogans serovar Hardjo and
Brucella ovis in animals on the slopes with elevation between 2600 and 2800 masl in the municipality
of Xalatlaco. The sheep pen built with materials of metal grids and untreated wood, dirt and concrete
floors, bed of straw, and the well water supply were also remained independently associated with
infectious abortion. We suggest that sensitizing stakeholders on good agricultural practices could
improve public health surveillance.