Spatio-temporal analysis of the distribution of reported dengue incidence in the National Capital Region
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Mathematics
Subject Categories
Physical Sciences and Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
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.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTU019201
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Recommended Citation
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