4-year spatiotemporal analysis of daily climatic factors and hospitalizations

Authors

Aimee Braga Rarugal National Institute of Physics, University of the Philippines Diliman
Josephine Jill Cabatbat National Institute of Physics, University of the Philippines Diliman
Ranzivelle Marianne Roxas-Villanueva Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Giovanni Tapang National Institute of Physics, University of the Philippines Diliman

Abstract

We investigate the daily temporal effect of the rainfall, wind speed, dew point and average, minimum and maximum temperature to all hospital outpatient admissions from January 2005 to December 2008 in Cavite, Philippines. Using correlation, mutual information and transfer entropy, it was known that digestive diseases have the highest direct correlation with dew point; relative humidity and rainfall are the most mutually dependent to the 10 hospitalization datasets; and maximum temperature can be a driving agent influencing the hospitalization rates in comparison to all the climate-hospitalization dataset pairs. Majority of the admissions were from within or neighboring areas of the hospital and liver disease cases have unique spatial distribution by daily spatial analysis on a barangay level.

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Issue

2012: Proceedings of the 30th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP2012-PA-13

Section

Poster Session PA

Published

2012-10-22

How to Cite

[1]

AB Rarugal, JJ Cabatbat, RM Roxas-Villanueva, and G Tapang, 4-year spatiotemporal analysis of daily climatic factors and hospitalizations, Proceedings of the Samahang Pisika ng Pilipinas 30, SPP2012-PA-13 (2012). URL: https://proceedings.spp-online.org/article/view/SPP2012-PA-13.