Spatio-temporal analysis of the distribution of reported dengue incidence in the National Capital Region
Date of Publication
Bachelor of Science in Mathematics
Physical Sciences and Mathematics
College of Science
Mathematics and Statistics Department
The World Health Organization's Global Strategy for Dengue Prevention and Control states that effective disease monitoring and prediction through epidemiological surveillance can reduce the morbidity rate of dengue fever. This study aims to analyze the spatial distribution of dengue incidences in the National Capital Region, across four years of reported dengue cases. The analyses identified significant clustering of dengue incidence using Moran'
s I, and revealed that the northern cities of NCR, such as Caloocan, Malabon, Navotas and Valenzuela, exhibited high spatial autocorrelation using local Moran's I and spatial scan statistics. A temporal analysis of the results also suggested movement in dengue incidence through time, from the northwest cities spreading to the northeast cities. Results of these analyses will be able to provide policymakers and health experts with a basis for which they can properly allocate funds and resources for the prevention and treatment of dengue fever.
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Gonzales, D. G., & Pangilinan, M. P. (2014). Spatio-temporal analysis of the distribution of reported dengue incidence in the National Capital Region. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/17994