Estimation of canine Leishmania infection prevalence in six cities of the Algerian littoral zone using a Bayesian approach.

  • Amel Adel
  • Emmanuel Abatih
  • Niko Speybroeck
  • Abdelkrim Soukehal
  • Rachid Bouguedour
  • Karim Boughalem
  • Abdelmalek Bouhbal
  • Mouloud Djerbal
  • Claude Saegerman
  • Dirk Berkvens
Publisher
Public Library of Science (PLoS)
Journal
issn:1932-6203

Abstract

A large-scale study on canine Leishmania infection (CanL) was conducted in six localities along a west-east transect in the Algerian littoral zone (Tlemcen, Mostaganem, Tipaza, Boumerdes, Bejaia, Jijel) and covering two sampling periods. In total 2,184 dogs were tested with an indirect fluorescent antibody test (IFAT) and a direct agglutination test (DAT). Combined multiple-testing and several statistical methods were compared to estimate the CanL true prevalence and tests characteristics (sensitivity and specificity). The Bayesian full model showed the best fit and yielded prevalence estimates between 11% (Mostaganem, first period) and 38% (Bejaia, second period). Sensitivity of IFAT varied (in function of locality) between 86% and 88% whi...

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