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.

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