Spatial Analysis of Malaria Cases in Palawan, Philippines

Authors

  • Nancy Tandang Associate Professor, Institute of Statistics, University of the Philippines Los Banos, Los Banos, Laguna 4031, Philippines
  • Imman Noel Azurin Undergraduate Program, Institute of Statistics, University of the Philippines Los Banos, Los Banos, Laguna 4031, Philippines

Keywords:

Malaria, spatial analysis, spatial clustering

Abstract

Palawan identifies malaria as one of the threats to its overall health care and development. Nearly 95 percent of malaria cases in the country in 2016 were recorded in Palawan alone – indicating that malaria cases are highly concentrated in the said province. The need to monitor and recognize geographical patterns of the disease is a great help in controlling malaria outbreak and in increasing awareness about the disease risk.  Early action and detection of malaria epidemics are important to reduce the number of deaths and illnesses caused by malaria and to reduce its impact to the socioeconomic burden among barangays in Palawan. This study investigated malaria cases among the barangays in Palawan, and its spread across neighboring barangays. Spatial analysis was performed using different neighborhood criteria - queen's and rook's contiguity weight matrices, k-nearest neighbors weights matrices (k value set to 3, 4, 5), and distance-band weight matrices (a cutoff distance of 8, 9, and 10 km). Results showed that barangays in the southernmost part of Palawan which include Bunog, Iraan, Ransang, Campong Ulay, Culasian, Candawaga, Canipaan, Punta Baja, Bulalacao, Panaligaan, Malihud, Salogon, Marangas, Samareñana, Malis, Saraza, Mainit, Culandanum, Ipilan and Pangobilian were consistently classified as high-high cluster using the different weights matrices.

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Published

2020-04-25

How to Cite

Tandang, N., & Azurin, I. N. (2020). Spatial Analysis of Malaria Cases in Palawan, Philippines. International Journal of Sciences: Basic and Applied Research (IJSBAR), 51(2), 28–44. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/11088

Issue

Vol. 51 No. 2 (2020)

Section

Articles

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