Molecular survey of flea-borne pathogens in fleas associated with carnivores from Algeria and an Artificial Neural Network-based risk analysis of flea-borne diseases
Dipylidium caninum
Bartonella
DOI:
10.1016/j.rvsc.2024.105235
Publication Date:
2024-03-20T18:10:06Z
AUTHORS (9)
ABSTRACT
As ectoparasites and efficient vectors of pathogens fleas constitute a source nuisance for animals as well major issue public health in Algeria. In this study, molecular survey has been conducted to investigate the presence infesting domestic wild carnivores central north eastern south The screening that targeted Acanthocheilonema reconditum, Bartonella spp.,and Dipylidium caninum, was supplemented by comprehensive analysis risk factors related flea-borne pathogens, drawing data from all documentation across multiple languages sources Morocco, Algeria, Tunisia. current several spp. 56/430 (13.02%) caninum 3/430 (0.7%) were identified. sequencing results revealed 5/23 (21.74%) B. clarridgeiae, 3/23 (13.04%) henselae, vinsonii. two haplotypes, H1 H2, D. identified first time North Africa. Artificial Neural Network analyses unveiled prevalence host generalist vectorial competence are most determinant diseases Maghreb.
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