Design and implementation of a mosquito database through an entomological ontology.
There have been constant changes in the biology and behavior of the vector and parasite involved in the transmission of malaria. There is limited interest in developing new technologies and procedures for controlling the underlying factors of this threat, which poses an enormous challenge to health systems. To understand the various vector species and their interrelations is of prime importance in understanding the transmission mechanisms of malaria in order to react efficiently. To attain this objective, we have used an ontological approach to producing a database that we consider to be our own contribution in helping to control malaria vectors if eradication has been unsuccessful in the previous control campaign.
Koum
Guillaume
G
Laborima, Ecole Polytechnique B.P 8390 Yaounde, Cameroon. g_koum@yahoo.fr
Yekel
Augustin
A
Ndifon
Bengyella
B
Simard
Frédéric
F
D000818:Animals; D000852:Anopheles / Q000145:classification* / Q000235:genetics* / Q000472:pathogenicity; D009033:Culicidae / Q000145:classification / Q000235:genetics / Q000472:pathogenicity; D003628:Database Management Systems; D016208:Databases, Factual; D030541:Databases, Genetic; D004282:Documentation / Q000379:methods; D004772:Entomology / Q000379:methods*; D040362:Geographic Information Systems; D005843:Geography / Q000379:methods; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007303:Insect Vectors / Q000145:classification / Q000235:genetics / Q000472:pathogenicity; D008288:Malaria / Q000145:classification / Q000469:parasitology; D014584:User-Computer Interface