An Analysis on High Temperature and Hospitalizations for Cardiovascular Cases in the City of Cabanatuan, Philippines

© 2022 by IJCTT Journal
Volume-70 Issue-10
Year of Publication : 2022
Authors : Leonylyn P. Bensi, Rosanna A. Esquivel
DOI :  10.14445/22312803/IJCTT-V70I10P104

How to Cite?

Leonylyn P. Bensi, Rosanna A. Esquivel, "An Analysis on High Temperature and Hospitalizations for Cardiovascular Cases in the City of Cabanatuan, Philippines," International Journal of Computer Trends and Technology, vol. 70, no. 10, pp. 22-27, 2022. Crossref,

Extreme heat is now a tremendous concern worldwide, especially in urban settings, which may risk the health of every individual. People in the Philippines continuously experience soaring heat events yearly in many large urban areas. Cabanatuan was recorded as one of the hottest urban areas in the Philippines. This issue is very alarming, especially in the prevalent cases of cardiovascular diseases. Hence, the application of data analysis is needed to identify if the high temperature can be associated with the number of hospital admissions for cardiovascular causes. This study aims to identify the relationship between the high temperature and the number of hospital admissions for cardiovascular cases. Using the dataset from 2011-2016 obtained from PAGASA for temperature and the City Hospital for the admissions of cardiovascular causes, we further clustered the data separately. We compare the highest recorded temperature and the number of hospital admission to see if a positive correlation exists. We used linear regression to determine the association of hospitalization for cardiovascular cases triggered by high temperature. This study also aims to predict the possible rate of hospital admissions for cardiovascular cases with high temperatures. The results of this study can potentially improve decision-making in the health sector. Other responsible agencies and policymakers can use them to develop a mechanism for how this information can be disseminated to the public.

Regression Analysis, Cardiovascular Cases, Extreme Heat, Hospitalization.


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