Skip to main navigation Skip to search Skip to main content

Development of an exposure-free bednet trap for sampling Afrotropical malaria vectors

  • E. M. Mathenge
  • , G. F. Killeen
  • , D. O. Oulo
  • , L. W. Irungu
  • , P. N. Ndegwa
  • , B. G.J. Knols
  • Department of Tropical Medicine
  • International Centre of Insect Physiology and Ecology Nairobi

Research output: Contribution to journalArticlepeer-review

Abstract

An exposure-free bednet trap (the 'Mbita trap') for sampling of Afrotropical malaria vectors was developed during preliminary studies of mosquito behaviour around human-occupied bednets. Its mosquito sampling efficiency was compared to the CDC miniature light-trap and human landing catches under semi-field conditions in a screen-walled greenhouse using laboratory-reared Anopheles gambiae Giles sensu stricto (Diptera: Culicidae). When compared in a competitive manner (side by side), the Mbita trap caught 4.1 ± 0.5 times as many mosquitoes as the CDC light-trap, hung beside an occupied bednet (P<0.0001) and 43.24 ±10% the number caught by human landing catches (P < 0.0001). The ratio of Mbita trap catches to those of the CDC light trap increased with decreasing mosquito density. Mosquito density did not affect the ratio of Mbita trap to human-landing catches. In a non-competitive comparison (each method independent of the other), the Mbita trap caught 89.7 ± 10% the number of mosquitoes caught by human landing catches (P < 0.0001) and 1.2 ± 0.1 times more mosquitoes than the CDC light trap (P = 0.0008). Differences in Mbita trap performance relative to the human landing catch under non-competitive vs. competitive conditions were explained by the rate at which each method captured mosquitoes. Such bednet traps do not expose people to potentially infectious mosquito bites and operate passively all night without the need for skilled personnel. This trap is specifically designed to catch host-seeking mosquitoes only and may be an effective, sensitive, user-friendly and economic alternative to existing methods for mosquito surveillance in Africa.

Original languageEnglish
Pages (from-to)67-74
Number of pages8
JournalMedical and Veterinary Entomology
Volume16
Issue number1
DOIs
Publication statusPublished - 1 Jan 2002
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Africa
  • Anopheles gambiae
  • Bednets
  • CDC light trap
  • Entomological inoculation rate
  • Human-landing catch
  • Kenya
  • Malaria
  • Mbita trap
  • Mosquito sampling

Fingerprint

Dive into the research topics of 'Development of an exposure-free bednet trap for sampling Afrotropical malaria vectors'. Together they form a unique fingerprint.

Cite this