AI-Based Pathogenicity Classification of Flea and Tick-Borne Diseases and Seasonal Distribution of Some Species in Algeria

EasyChair Preprint no. 11594

Abstract

Vector-borne diseases and their classification are of paramount epidemiological importance since they are an important cause of death or debilitating situations, especially in African countries. In this study, a database of vector-borne diseases was generated out of Algerian data to train two different classifiers and compare the fitness of each one. In addition, 1037 fleas and ticks were sampled in different regions of the central north of the country to understand the seasonal activity of these vectors and their implication in transmitting diseases to humans and animals.

Keyphrases: ANN, Arthropods, Epidemiology, North Africa, Zoonoses

@Booklet{EasyChair:11594,
  author = {Noureddine Rabah Sidhoum and Mehdi Boucheikhchoukh and Noureddine Mechouk},
  title = {AI-Based Pathogenicity Classification of Flea and Tick-Borne Diseases and Seasonal Distribution of Some Species in Algeria},
  howpublished = {EasyChair Preprint no. 11594},

  year = {EasyChair, 2023}}