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Title

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

 

Authors

Upadhyayula Suryanarayana Murty1*, 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.