Home › Analytical Chem › Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
Analytical Chem JoVE (Open Access) Citable · DOI

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

DOI: 10.3791/58440-v
What you'll learn
  • ✓ Rear and prepare captive vector mosquitoes as sentinel organisms for pesticide testing
  • ✓ Deploy sentinel cages in field sites and apply pesticides according to protocol
  • ✓ Record mortality data and generate electronic efficacy maps across ecological zones
Protocol

The efficacy of public health pesticides targeting nuisance and disease-vector insects is not uniform across different ecological zones. Here we present a system of techniques using captive vector insects as sentinels for pesticide efficacy to derive electronic maps supporting the standard evaluation of pesticides across multiple environments.

Difficulty
intermediate
Total time
~2–4 weeks (including rearing, field deployment, and data collection cycles)
Model organism
Mosquitoes (disease-vector species, unspecified strain)
Biosafety
BSL-1

Steps

1
Rear sentinel mosquitoes and prepare cages

Establish and maintain captive vector mosquito colonies, then assemble sentinel cages for field deployment. This ensures standardized, controlled insects for pesticide efficacy testing.

▶ 00:48
2
Prepare field sites for cage deployment

Select and condition multiple field sites across different ecological zones to standardize environmental conditions for sentinel cage placement and pesticide application.

▶ 03:56
3
Deploy cages, apply pesticides, record mortality

Position sentinel cages at field sites, apply pesticides according to protocol, and systematically record insect mortality data for subsequent analysis and mapping.

▶ 05:32
4
Generate electronic efficacy maps from data

Analyze mortality data across multiple field sites and ecological zones to create electronic maps visualizing pesticide efficacy distribution and performance variation.

▶ 08:27
💬 Comments coming soon