Using mobile phones as acoustic sensors for high-throughput mosquito surveillance

Author:

Mukundarajan Haripriya1ORCID,Hol Felix Jan Hein2,Castillo Erica Araceli1,Newby Cooper1,Prakash Manu2ORCID

Affiliation:

1. Department of Mechanical Engineering, Stanford University, Stanford, United States

2. Department of Bioengineering, Stanford University, Stanford, United States

Abstract

The direct monitoring of mosquito populations in field settings is a crucial input for shaping appropriate and timely control measures for mosquito-borne diseases. Here, we demonstrate that commercially available mobile phones are a powerful tool for acoustically mapping mosquito species distributions worldwide. We show that even low-cost mobile phones with very basic functionality are capable of sensitively acquiring acoustic data on species-specific mosquito wingbeat sounds, while simultaneously recording the time and location of the human-mosquito encounter. We survey a wide range of medically important mosquito species, to quantitatively demonstrate how acoustic recordings supported by spatio-temporal metadata enable rapid, non-invasive species identification. As proof-of-concept, we carry out field demonstrations where minimally-trained users map local mosquitoes using their personal phones. Thus, we establish a new paradigm for mosquito surveillance that takes advantage of the existing global mobile network infrastructure, to enable continuous and large-scale data acquisition in resource-constrained areas.

Funder

Howard Hughes Medical Institute

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

National Science Foundation

NIH Office of the Director

Pew Charitable Trusts

John D. and Catherine T. MacArthur Foundation

United States Agency for International Development

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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