Next Article in Journal
Natural and Synthetic Pyrethrins Act as Feeding Deterrents against the Black Blowfly, Phormia regina (Meigen)
Previous Article in Journal
Mosquitocidal Activity of the Methanolic Extract of Annickiachlorantha and Its Isolated Compounds against Culex pipiens, and Their Impact on the Non-Target Organism Zebrafish, Danio rerio
Previous Article in Special Issue
Building International Capacity for Citizen Scientist Engagement in Mosquito Surveillance and Mitigation: The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper
 
 
Article

Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes

1
Department of Integrative Biology, University of South Florida (USF), Tampa, FL 33620, USA
2
Woodrow Wilson International Center for Scholars, Washington, DC 20007, USA
3
Institute for Global Environmental Strategies, Arlington, VA 22202, USA
4
Department of Political and Social Sciences, Universitat Pompeu Fabra, 08005 Barcelona, Spain
5
Centre d’Estudis Avançats de Blanes (CEAB-CSIC), 17300 Blanes, Spain
6
Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), 08193 Cerdanyola del Vallès, Spain
7
Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
8
iNaturalist, California Academy of Sciences, San Francisco, CA 94118, USA
9
Department of Computer Science and Engineering, University of South Florida, Tampa, FL 33620, USA
*
Author to whom correspondence should be addressed.
Daniel Guerrero passed away.
Academic Editors: Benjamin Cull and Emma L. Gillingham
Insects 2022, 13(8), 675; https://doi.org/10.3390/insects13080675
Received: 3 April 2022 / Revised: 29 June 2022 / Accepted: 1 July 2022 / Published: 27 July 2022
(This article belongs to the Special Issue Citizen Science Approaches to Vector Surveillance)
The mosquito is the deadliest animal on earth, transmitting diseases that cause nearly a million deaths and >700 million infections each year. Yet only relatively few mosquito species are “vectors” that transmit diseases. Unfortunately, identifying these vector species is a difficult and time-consuming manual process. A promising and scalable solution involves “citizen science”, whereby the general public provides images of mosquito specimens and breeding habitats using smartphones. However, data from such previous efforts have lacked the necessary integration for a thorough and global understanding of mosquito presence. Here, we standardize and combine data from multiple international citizen science apps—Mosquito Alert, iNaturalist, and GLOBE Observer’s Mosquito Habitat Mapper and Land Cover—to aid researchers, mosquito control personnel, and policymakers. We also launched coordinated media campaigns that generated unprecedented numbers and types of observations, including successfully capturing the first images of targeted invasive and vector species. Additionally, we used citizen science imagery to develop artificial intelligence software to automatically identify the species and anatomical regions of mosquitoes. Ultimately, we establish a new surveillance system to serve as a united front to combat the ongoing threat of mosquito-borne diseases worldwide.
Mosquito-borne diseases continue to ravage humankind with >700 million infections and nearly one million deaths every year. Yet only a small percentage of the >3500 mosquito species transmit diseases, necessitating both extensive surveillance and precise identification. Unfortunately, such efforts are costly, time-consuming, and require entomological expertise. As envisioned by the Global Mosquito Alert Consortium, citizen science can provide a scalable solution. However, disparate data standards across existing platforms have thus far precluded truly global integration. Here, utilizing Open Geospatial Consortium standards, we harmonized four data streams from three established mobile apps—Mosquito Alert, iNaturalist, and GLOBE Observer’s Mosquito Habitat Mapper and Land Cover—to facilitate interoperability and utility for researchers, mosquito control personnel, and policymakers. We also launched coordinated media campaigns that generated unprecedented numbers and types of observations, including successfully capturing the first images of targeted invasive and vector species. Additionally, we leveraged pooled image data to develop a toolset of artificial intelligence algorithms for future deployment in taxonomic and anatomical identification. Ultimately, by harnessing the combined powers of citizen science and artificial intelligence, we establish a next-generation surveillance framework to serve as a united front to combat the ongoing threat of mosquito-borne diseases worldwide. View Full-Text
Keywords: artificial intelligence; citizen science; computer vision; geographic information systems; invasive species; machine learning; mosquito monitoring; smartphone; vector-borne disease; vector surveillance artificial intelligence; citizen science; computer vision; geographic information systems; invasive species; machine learning; mosquito monitoring; smartphone; vector-borne disease; vector surveillance
Show Figures

Figure 1

MDPI and ACS Style

Carney, R.M.; Mapes, C.; Low, R.D.; Long, A.; Bowser, A.; Durieux, D.; Rivera, K.; Dekramanjian, B.; Bartumeus, F.; Guerrero, D.; Seltzer, C.E.; Azam, F.; Chellappan, S.; Palmer, J.R.B. Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes. Insects 2022, 13, 675. https://doi.org/10.3390/insects13080675

AMA Style

Carney RM, Mapes C, Low RD, Long A, Bowser A, Durieux D, Rivera K, Dekramanjian B, Bartumeus F, Guerrero D, Seltzer CE, Azam F, Chellappan S, Palmer JRB. Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes. Insects. 2022; 13(8):675. https://doi.org/10.3390/insects13080675

Chicago/Turabian Style

Carney, Ryan M., Connor Mapes, Russanne D. Low, Alex Long, Anne Bowser, David Durieux, Karlene Rivera, Berj Dekramanjian, Frederic Bartumeus, Daniel Guerrero, Carrie E. Seltzer, Farhat Azam, Sriram Chellappan, and John R. B. Palmer. 2022. "Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes" Insects 13, no. 8: 675. https://doi.org/10.3390/insects13080675

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop