Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes

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• dc.contributor.author Uelmen, Johnny A.
• dc.contributor.author Clark, Andrew
• dc.contributor.author Palmer, John R. B.
• dc.contributor.author Kohler, Jared
• dc.contributor.author Van Dyke, Landon C.
• dc.contributor.author Low, Russanne D.
• dc.contributor.author Mapes, Connor
• dc.contributor.author Carney, Ryan M.
• dc.date.accessioned 2024-04-22T06:21:30Z
• dc.date.available 2024-04-22T06:21:30Z
• dc.date.issued 2023
• dc.description.abstract Background. Mosquitoes and the diseases they transmit pose a significant public health threat worldwide, causing more fatalities than any other animal. To effectively combat this issue, there is a need for increased public awareness and mosquito control. However, traditional surveillance programs are time-consuming, expensive, and lack scalability. Fortunately, the widespread availability of mobile devices with high-resolution cameras presents a unique opportunity for mosquito surveillance. In response to this, the Global Mosquito Observations Dashboard (GMOD) was developed as a free, public platform to improve the detection and monitoring of invasive and vector mosquitoes through citizen science participation worldwide. Methods. GMOD is an interactive web interface that collects and displays mosquito observation and habitat data supplied by four datastreams with data generated by citizen scientists worldwide. By providing information on the locations and times of observations, the platform enables the visualization of mosquito population trends and ranges. It also serves as an educational resource, encouraging collaboration and data sharing. The data acquired and displayed on GMOD is freely available in multiple formats and can be accessed from any device with an internet connection. Results . Since its launch less than a year ago, GMOD has already proven its value. It has successfully integrated and processed large volumes of real-time data (~ 300,000 observations), offering valuable and actionable insights into mosquito species prevalence, abundance, and potential distributions, as well as engaging citizens in community-based surveillance programs. Conclusions . GMOD is a cloud-based platform that provides open access to mosquito vector data obtained from citizen science programs. Its user-friendly interface and data filters make it valuable for researchers, mosquito control personnel, and other stakeholders. With its expanding data resources and the potential for machine learning integration, GMOD is poised to support public health initiatives aimed at reducing the spread of mosquito-borne diseases in a cost-effective manner, particularly in regions where traditional surveillance methods are limited. GMOD is continually evolving, with ongoing development of powerful artificial intelligence algorithms to identify mosquito species and other features from submitted data. The future of citizen science holds great promise, and GMOD stands as an exciting initiative in this field.
• dc.description.sponsorship This research was funded by the National Science Foundation under Grant No. IIS-2014547 (R.M.C., R.D.L.). The GLOBE Observer app and citizen science programming are supported through National Aeronautics and Space Administration (NASA) cooperative agreement NNX16AE28A to the Institute for Global Environmental Strategies (IGES) for the NASA Earth Science Education Collaborative (NESEC, PI: Theresa Schwerin). J.P. acknowledges funding from: (a) the European Commission, under Grants CA17108 (AIM-COST Action), 874735 (VEO), 853271 (H-MIP), and 2020/2094 (NextGenerationEU, through CSIC’s Global Health Platform, PTI Salud Global); (b) the Dutch National Research Agenda (NWA), under Grant NWA/00686468; and (c) “la Caixa” Foundation, under Grant HR19-00336.
• dc.format.mimetype application/pdf
• dc.identifier.citation Uelmen JA, Clark A, Palmer J, Kohler JRB, Van Dyke LC, Low R, et al. Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes. Int J Health Geogr. 2023 Oct 28;22(1):28. DOI: 10.1186/s12942-023-00350-7
• dc.identifier.doi http://dx.doi.org/10.1186/s12942-023-00350-7
• dc.identifier.issn 1476-072X
• dc.identifier.uri http://hdl.handle.net/10230/59860
• dc.language.iso eng
• dc.publisher BioMed Central
• dc.relation.ispartof International Journal of Health Geographics. 2023 Oct 28;22(1):28
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/874735
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/853271
• dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Anopheles stephensi
• dc.subject.keyword Citizen science
• dc.subject.keyword Data
• dc.subject.keyword Dashboard
• dc.subject.keyword GIS
• dc.subject.keyword Malaria
• dc.subject.keyword Mosquito
• dc.subject.keyword Open source
• dc.subject.keyword Surveillance
• dc.subject.keyword Vector-borne disease
• dc.title Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion