Temporal analysis of daily climatic factors and hospitalizations

Authors

Aimee Braga Rarugal National Institute of Physics, University of the Philippines Diliman
Ranzivelle Marianne Roxas-Villanueva National Institute of Physics, University of the Philippines Diliman
Giovanni Tapang National Institute of Physics, University of the Philippines Diliman

Abstract

We investigate daily time series of all hospital admissions, temperature, wind speed and amount of rainfall from November to December 2008 in Cavite, Philippines. The relationship between each dataset was evaluated using three statistical measures: correlation coefficient, mutual information and transfer entropy. Results show that there is a low mutual dependence between the hospitalizations and low correlation between climatic factors and hospital cases. However, it was found out that the rates of incidence of female and male reproductive diseases were directly proportional and that rainfall can be a driving mechanism to typhoid fever incidence, diurnal temperature range to cancer distribution, rainfall to accident cases, maximum temperature to cancer and average wind speed to dengue incidence. These results suggest that the low correlations do not imply that the datasets do not affect each other but indicate a possible delay on the onset of disease.

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Issue

2011: Proceedings of the 29th Samahang Pisika ng Pilipinas National Physics Congress

Article ID

SPP2011-PB-13

Section

Poster Session PB

Published

2011-10-24

How to Cite

[1]

AB Rarugal, RM Roxas-Villanueva, and G Tapang, Temporal analysis of daily climatic factors and hospitalizations, Proceedings of the Samahang Pisika ng Pilipinas 29, SPP2011-PB-13 (2011). URL: https://proceedings.spp-online.org/article/view/SPP2011-PB-13.