Title

Rapid identification of female Culex mosquito species using Expert System in the South East Asian region

Authors

Upadhyayula Suryanarayana Murty^1*, Duvvuri Venkata Rama Satya Kumar¹, Mutheneni Srinivasa Rao¹, Rachel Reuben², Satish  Chandra Tewari², J Hiriyan², J Akiyama³  and Deepa Akavaram⁴

Affiliation

¹Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Hyderabad – 500 007, Andhra Pradesh, India; ²Centre for Research in Medical Entomology, 4, Sarojini Street, Chinna Chokkikulam, Madurai 625 002, India; ³Regional Entomologist (Retired), World Health Organization, Regional Office for Southeast Asia, New Delhi, India; ⁴DKM College for Women, Madras University, Vellore, Tamil Nadu, India.

E-mail*

murty_usn@yahoo.com; * Corresponding author

Article Type

Web database

Date

received June 1, 2005; revised August 13, 2005; accepted August 30, 2005; published online August 31, 2005

Abstract

Rapid identification of mosquito (vector) species is critical for vector control and disease management. Pictorial keys of mosquito species are currently used for the identification of new mosquito species. However, this approach is not very effective. Here, we describe the use of an ID3 algorithm (part of artificial intelligence) for the rapid identification of the South East Asian female Culex mosquito species.

Availability

http://www.envisiict.org/

Keywords

Rapid; identification; culex; mosquito; expert system

Citation

Murty et al., Bioinformation 1(2): 40-41 (2005)

Edited by

B. S. Lakshmi

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.