Mosquito Abundance App

Technology #ua17-195

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Heidi Brown
Assistant Professor, Epidemiology & Biostatistics
Joceline Lega
Professor, Mathematics
Managed By
Lewis Humphreys
Licensing Manager (520) 626-2574

Title: Mosquito Abundance App


Invention: The invention is a mobile app that predicts the number of mosquito species based on meteorological models. The app incorporates data like effects of relative humidity on adult survival and rainfall-triggered egg hatching. It will also provide useful information when users are in a location containing these mosquito species.


Background: Mosquitos can be viral vectors and may be responsible for disease outbreaks in communities. In order to predict and prevent an outbreak, surveillance of mosquitos and simulation models are utilized to estimate abundance. Surveillance can be labor intensive while model accuracy is dependent upon the assumptions made and parameter estimates. Because of that, there is an opportunity to improve and create a dynamic mosquito simulation model.



  • Mosquito control programs
  • Infectious disease programs
  • Research laboratories
  • Public health tools



  • Simulations take a few minutes to complete
  • Provides high accuracy regardless of location
  • Can assess interventions that control mosquito population


Licensing Manager:

Lewis Humphreys

(520) 626-1213