Interevent time statistics and predictions of hospitalizations in Cavite, Philippines

Authors

Aimee B. Rarugal ⋅ PH National Institute of Physics, University of the Philippines Diliman
Ranzivelle Marianne Roxas-Villanueva ⋅ PH Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Giovanni A. Tapang ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We analyzed the daily time series of ten hospitalizations in De La Salle University Medical Center in Cavite. By interevent time statistics, it was known that there are newly admitted patients every day, a day after or 9 days after a previous admission. ARIMA(1,0,1) predictions show that digestive diseases, pregnancy and cardiovascular diseases are the most influenced hospitalizations. Moreover, all hospitalizations are significantly influenced by the climate factors except by wind speed, and minimum and Earth skin temperature although some are affected by latter climate factors. The past values and climate factors do influence but do not completely define the future number of the hospitalizations.

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Issue

2014: Proceedings of the 32nd Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP2014-PB-02

Section

Poster Session PB

Published

2014-10-17

How to Cite

[1]

AB Rarugal, RM Roxas-Villanueva, and GA Tapang, Interevent time statistics and predictions of hospitalizations in Cavite, Philippines, Proceedings of the Samahang Pisika ng Pilipinas 32, SPP2014-PB-02 (2014). URL: https://proceedings.spp-online.org/article/view/1874.