Abstract

Mosquito-borne diseases are a major challenge for Human health as they affect nearly 700 million people every year and result in over 1 million deaths. Reliable information on the evolution of population and spatial distribution of key insects species is of major importance in the development of eco-epidemiologic models. This paper reports on the remote characterization of flying mosquitoes using a continuous-wave infrared optical remote sensing system. The system is setup in a controlled environment to mimic long-range lidars, mosquitoes are free flying at a distance of ~ 4 m from the collecting optics. The wing beat frequency is retrieved from the backscattered light from mosquitoes transiting through the laser beam. A total of 427 transit signals have been recorded from three mosquito species, males and females. Since the mosquito species and gender are known a priori, we investigate the use of wing beat frequency as the sole predictor variable for two Bayesian classifications: gender alone (two classes) and species/gender (six classes). The gender of each mosquito is retrieved with a 96.5% accuracy while the species/gender of mosquitoes is retrieved with a 62.3% accuracy. Known to be an efficient mean to identify insect family, we discuss the limitations of using wing beat frequency alone to identify insect species.

Highlights

  • Mosquito-borne diseases are a major challenge for human health as they affect nearly 700 million people every year and result in over 1 million deaths [1,2,3,4]

  • We argue that a viable alternative to the existing methods lies in optical remote sensing technologies such as lidars

  • In the case of gender identification, results show that male and female are discriminated with an overall accuracy of 96.5% despite the broad range of possible frequency of male and female mosquitoes of different species

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Summary

Introduction

Mosquito-borne diseases are a major challenge for human health as they affect nearly 700 million people every year and result in over 1 million deaths [1,2,3,4]. Vector control strategies, such as environmental, chemical and biological controls, remain the most effective ways to tackle this issue for multiple reasons: (1) many diseases such as dengue fever, West Nile virus, or Zika virus still have no effective cure; (2) when vaccines or effective treatments exist, they may remain unavailable or unaffordable to large population groups; (3) even in developed countries where populations have access to high quality healthcare, the disease and/or treatments may still cause major nuisances and discomfort. The World Health Organization in its Global Strategy for Dengue Prevention [11] states that “surveillance is a critical component of any dengue prevention and control program because it provides the information necessary for risk assessment and program guidance, including epidemic response and program evaluation”

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