Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

Submitted: 30 November 2015
Accepted: 16 May 2016
Published: 31 May 2016
Abstract Views: 2272
PDF: 1046
HTML: 1215
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Toxoplasmosis, an important cause of reproductive failure in sheep, is responsible for significant economic losses to the ovine industry worldwide. Moreover, ovine meat contaminated by the parasite Toxoplasma gondii is considered as a common source of infection for humans. The aim of this study was to develop point and risk profiling maps of T. gondii seroprevalence in sheep bred in Campania Region (Southern Italy) and analyse risk factors associated at the flock-level. We used serological data from a previous survey of 117 sheep flocks, while environmental and farm management information were obtained from an analysis based on geographical information systems and a questionnaire purveyance, respectively. An univariate Poisson regression model revealed that the type of farm production (milk and meat vs only meat) was the only independent variable associated with T. gondii positivity (P<0.02); the higher within-flock seroprevalence in milking herds suggests that milking practices might influence the spread of the infection on the farm. Neither environmental nor other management variables were significant. Since a majority of flocks were seasonally or permanently on pasture, the animals have a high exposure to infectious T. gondii oocysts, so the high within-flock seroprevalence might derive from this management factor. However, further studies are needed to better assess the actual epidemiological situation of toxoplasmosis in sheep and to clarify the factors that influence its presence and distribution.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

How to Cite

Condoleo, R., Musella, V., Maurelli, M. P., Bosco, A., Cringoli, G., & Rinaldi, L. (2016). Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy. Geospatial Health, 11(2). https://doi.org/10.4081/gh.2016.432

List of Cited By :

Crossref logo

Similar Articles

You may also start an advanced similarity search for this article.