Date of Publication
3-2025
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Biology major in Medical Biology
Subject Categories
Medicine and Health Sciences
College
College of Science
Department/Unit
Biology
Thesis Advisor
Billy Joel M. Almarinez
Defense Panel Chair
Divina M. Amalin
Defense Panel Member
Thaddeus M. Carvajal
Shad Natthew Arce
Abstract (English)
Dengue fever, transmitted primarily by Aedes aegypti, continues to be a major public health issue with approximately 400 million cases reported annually. Managing A. aegypti populations by implementing various vector management strategies is critical in regulating dengue transmission. Current methods used for vector management consist of biological, chemical, and environmental strategies, each with variable effectiveness and socio-ecological consequences. Gaps in quantifying and assessing real-world impacts of implemented vector management strategies persist. Therefore, the P-graph modelling framework was applied to this study in an attempt to graphically observe the relationships of various vector management components, evaluate the management strategies based on their interaction with other strategies, and suggest maximal solutions to manage dengue incidence. P-graph generation resulted in 10 feasible solution structures (SS) from the original problem. The results suggest that implementation of vector management strategies require optimization and can be done in combination or individually, but should realistically reduce dengue incidence. Out of the 10 SS generated, five were treated as realistic, and the other five as idealized scenarios, less likely to occur. Optimizing dengue vector management will require fine tuning of various factors, such as frequency, extent, and combinations. Therefore, potential combinations such as Betta splendens and Bacillus thuringiensis var. israelensis should be further investigated to successfully reduce, and potentially eradicate sporadic dengue incidence in communities.
Abstract Format
html
Abstract (Filipino)
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Abstract Format
html
Language
English
Format
Electronic
Keywords
Dengue; Mosquitoes—Control; Aedes aegypti
Recommended Citation
Tan, J. C., Ballesteros, Y. L., & Mallari, A. C. (2025). Preliminary socio-ecological network analysis of dengue vector management using the P-graph modeling framework. Retrieved from https://animorepository.dlsu.edu.ph/etdb_bio/221
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Embargo Period
10-3-2026
