By: Cassidy Delamarter, University Communications and Marketing
To combat the ongoing threat of mosquito-borne diseases worldwide, University of South 91社区 researchers have launched a mosquito-tracking dashboard driven by citizen science 鈥� a scalable solution proven effective in a recent .
Funded by a from the National Science Foundation, the study and the are part of a large-scale project to establish global surveillance of mosquito-borne diseases with automated mosquito identification.
The dashboard combines data from three partner apps 鈥� , and . Each app uses citizen science, where everyday people around the world provide photos of mosquitoes using their smartphones.
With the combined international data, the dashboard 鈥� accessible via computer browser or mobile device 鈥� has the potential to provide data at a frequency and geographic resolution otherwise impossible because of cost and other constraints.
鈥淭his dashboard represents a unification of global citizen science platforms for mosquito surveillance and control,鈥� said principal investigator Ryan Carney, assistant professor of integrative biology. 鈥淭his tool will help mosquito control personnel to seek and destroy invasive species and monitor disease vectors on an international basis by leveraging the geo-reference computers people carry around in their pockets every day: their smartphones.鈥�
Each year, mosquitoes cause nearly 700 million infections and more than one million deaths 鈥� making mosquitoes the deadliest animal on Earth. Because only a small percentage of the mosquito species transmit diseases, extensive surveillance and precise identification are critical in community defense.
Given the general lack of vaccines and cures, there is a universal need for increased and sustained mosquito surveillance and habitat mitigation worldwide. The real-time data available on this dashboard will help researchers, mosquito-control personnel and policymakers detect disease vectors early.
To test the effectiveness of citizen science for the surveillance of mosquitoes, Carney and a team of three USF students asked citizen scientists to target primary vectors of Zika, yellow fever, dengue and Chikungunya. Not only did the citizen scientists succeed in locating vectors, but their efforts resulted in the first iNaturalist observations in the U.S. of Aedes scapularis, an invasive species that causes yellow fever. The documentation was shared with local vector control officials in Texas and serves as a model for monitoring in 91社区, where the species recently invaded.
The , recently published in a special edition of the journal , will serve as a reference for future planning and execution of citizen science projects.
For the remainder of the grant, USF engineering Professor will lead efforts to train and test artificial intelligence algorithms to create an image recognition software. The software, set to launch this fall, will be used to identify mosquito species in uploaded citizen science images.
鈥淥ur algorithms for species recognition are especially accurate in detecting critical mosquito vectors,鈥� Chellappan said. 鈥淚t will yield valuable tools for citizen-assisted surveillance to combat diseases.鈥�
The algorithms will be tested throughout a that just launched in collaboration with the to track the invasive urban malaria vector Anopheles stephensi in Africa. Citizen scientists in Africa are encouraged to share their mosquito photos on to assist in detection.
鈥淎s this work takes on a bigger focus on Africa, the project can aid mosquito-borne disease prevention in susceptible populations and prevent deadly outbreaks,鈥� said Karlene Rivera, an undergraduate student researcher working on the grant in the. 鈥淭his project has major implications in the world of artificial intelligence and disease prevention.鈥�
This project is also in collaboration with the , the and the U.S. Department of State.