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Updated: May 7, 2026
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
Published on: March 16, 2019
The Mosquito Online Advanced Analytic Service: a case study for school research projects in Thailand
Siriwan Wongkoon1, Mullica Jaroensutasinee, Krisanadej Jaroensutasinee
1Center of Excellence for Ecoinformatics, School of Science, Walailak University, Nakhon Si Thammarat, Thailand.
Abstract:
The Mosquito Online Advanced Analytic Service (MOAAS) provides an essential tool for querying, analyzing, and visualizing patterns of mosquito larval distribution in Thailand. The MOAAS was developed using Structured Query Language (SQL) technology as a web-based tool for data entry and data access, webMathematica technology for data analysis and data visualization, and Google Earth and Google Maps for Geographic Information System (GIS) visualization. Fifteen selected schools in Thailand provided test data for MOAAS. Users performed data entry using the web-service, data analysis, and data visualization tools with webMathematica, data visualization with bar charts, mosquito larval indices, and three-dimensional (3D) bar charts overlaying on the Google Earth and Google Maps. The 3D bar charts of the number of mosquito larvae were displayed along with spatial information. The mosquito larvae information may be useful for dengue control efforts and health service communities for planning and operational activities.
