An Analysis on High Temperature and Hospitalizations for Cardiovascular Cases in the City of Cabanatuan, Philippines |
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© 2022 by IJCTT Journal | ||
Volume-70 Issue-10 |
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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, https://doi.org/10.14445/22312803/IJCTT-V70I10P104
Abstract
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.
Keywords
Regression Analysis, Cardiovascular Cases, Extreme Heat, Hospitalization.
Reference
[1] R. Sari Kovats & Shakoor Hajat, “Heat Stress and Public Health: A Critical Review,” Public and Environmental Health Research Unit (PEHRU) London School of Hygiene and Tropical Medicine, London UK, 2008.
[2] McMichael AJ, Wilkinson P, Kovats RS, et al., “International Study of Temperature, Heat and Urban Mortality: the `ISOTHURM` Project,” International Journal of Epidemiology, vol. 37, pp. 1121–1131, 2008.
[3] Beniston M. et al., “Future Extreme Events in European Climate: An Exploration of Regional Climate Model Projections,” Climatic Change, 2007.
[4] Ebi K.L. et al., eds., “Heat / Health Warning Systems: Development, Implementation, and Journal Article: Intervention Activities, Biometeorology for Adaptation to Climate Variability and Change,” 33 © Springer Science + Business Media B.V, 2009.
[5] McGregor G.R., Bessemoulin P., Ebi K. and Menne B., “Heatwaves and Health: Guidance on Warning-System Development,” World Meteorological Organization & World Health Organization, 2015.
[6] Y. Finzi, N. Ganz, Y. Limon, S. Langer, “The Next Big Earthquake May Inflict a Multi-Hazard Crisis – Insights from COVID-19, Extreme Weather and Resilience in Peripheral Cities of Israel,” International Journal of Disaster Risk Reduction, vol. 61, pp. 102365, 2021. ISSN 2212-4209. https://doi.org/10.1016/j.ijdrr.2021.102365. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2212420921003319.
[7] Kalkstein, L.S., J.S. Greene, D. Mills, A. Perrin, J. Samenow, and J-C. Cohen, “AnalogEuropean Heat Waves for U.S. Cities to Analyze Impacts on Heat-Related Mortality,” Bulletin of the American Meteorological Society, vol. 89, pp. 75–86, 2008.
[8] Ebi, Kristie L., Christopher Boyer, Kathryn J. Bowen, Howard Frumkin, and Jeremy Hess, "Monitoring and Evaluation Indicators for Climate Change-Related Health Impacts, Risks, Adaptation, and Resilience," International Journal of Environmental Research and Public Health, vol. 15, no. 9, pp. 1943, 2018.
[9] Baldwin, Jane Wilson, Jay Benjamin Dessy, Gabriel A. Vecchi, and Michael Oppenheimer, "Temporally Compound Heat Wave Events and Global Warming: An Emerging Hazard," Earth`s Future, vol. 7, no. 4, pp. 411-427, 2019.
[10] Journal article: Knowlton et al., “The 2006 California Heat Wave: Impacts on Hospitalizations and Emergency Department Environmental Health Perspectives,” 2009.
[11] Vicedo-Cabrera AM, Guo Y, Sera F, Huber V, Schleussner CF, Mitchell D, Tong S, Coelho MD, Saldiva PH, Lavigne E, Correa PM, “Temperature-Related Mortality Impacts Under and Beyond Paris Agreement Climate Change Scenarios,” Climatic Change, vol. 150, no. 3, pp. 391-402, 2018.
[12] Xerxes T. Seposo, Tran Ngoc Dang & Yasushi Honda, “Exploring the Effects of High Temperature on Mortality in Four Cities in the Philippines using Various Heat Wave Definitions in Different Mortality Subgroups,” Global Health Action, vol. 10, no. 1, pp. 1368969, 2017. Doi: 10.1080/16549716.2017.1368969.
[13] Pacheco, S. E., Guidos-Fogelbach, G., Annesi-Maesano, I., Pawankar, R., d`Amato, G., Latour-Staffeld P, “Respiratory Health Committee, Climate Change and Global Issues in Allergy and Immunology,” Journal of Allergy and Clinical Immunology, vol. 148, no. 6, pp. 1366-1377, 2021.
[14] Scribd Website, 2022. [Online]. Available: https://www.scribd.com/document/47306385/The-City-of-Cabanatuan-is-a-first-class
[15] Subia, G.S., Amaranto, J.L., Amaranto, J.C., Bustamante, J.Y. and Damaso, I.C, “Chess and Mathematics Performance of College Players: An Exploratory Analysis,” Open Access Library Journal, vol. 6, pp. e5195, 2019. https://doi.org/10.4236/oalib.1105195
[16] Kumari, Khushbu, and Suniti Yadav, "Linear Regression Analysis Study," Journal of the Practice of Cardiovascular Sciences, vol. 4, no. 1, pp. 33, 2018.
[17] “Statistics Knowledge Portal,” A Free Online Introduction to Statistics. [Online]. Available: https://www.jmp.com/en_ph/statistics-knowledge-portal.html
[18] Gogtay, Nithya J., and Urmila M. Thatte, "Principles of Correlation Analysis," Journal of the Association of Physicians of India, vol. 65, no. 3, pp. 78-81, 2017.
[19] Seeram E, “An Overview of Correlational Research,” Radiologic Technology, vol. 91, no. 2, pp. 176-179, 2019.
[20] Gelman A, Hill J, & Vehtari A, “Regression and Other Stories,” Cambridge University Press, 2020.
[21] Sustiyah, Soemarno, Yulia Nuraini, Salampak, "Effect of Temperature Soil and Water Table of Methane Emission on Transfer Function Peatlands Into the Garden of Palm," SSRG International Journal of Agriculture & Environmental Science, vol. 4, no. 2, pp. 47-52, 2017. Crossref, https://doi.org/10.14445/23942568/IJAES-V4I2P109
[22] Smith, Richard J, "P>. 05: The Incorrect Interpretation of "Not Significant" Results is a Significant Problem," American Journal of Physical Anthropology, vol. 172, no. 4, pp. 521-527, 2020.
[23] Bobb JF, Claus Henn B, Valeri L, Coull BA, “Statistical Software for Analyzing the Health Effects of Multiple Concurrent Exposures via Bayesian Kernel Machine Regression,” Environmental Health, vol. 17, no. 1, pp. 1-0, 2018.
[24] Ray, Susmita, "A Quick Review of Machine Learning Algorithms," In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), IEEE, pp. 35-39, 2019.
[25] Chakravarthi, V. Vinu, M. Sivakumar, and G. Veeramani. "A Study on Impact of Consumer Trust Building Measures Adopted by Ecommerce Companies–with Reference to Chennai City," Advance and Innovative Research, vol. 114, 2019.
[26] Stoker, Philip, Guang Tian, and Ja Young Kim, "Analysis of Variance (ANOVA)," In Basic Quantitative Research Methods for Urban Planners, Routledge, pp. 197-219, 2020.
[27] Premlata Kumari, Basavaraja H, Nethravathi A Patil, "Impact of Climate Change on Growth and Variability in Area, Production and Productivity of Major Vegetables in India," SSRG International Journal of Agriculture & Environmental Science, vol. 5, no. 1, pp. 1-4, 2018. Crossref, https://doi.org/10.14445/23942568/IJAES-V5I1P101
[28] Zhao, J., Feng, Q., Wu, P., Lupu, R.A., Wilke, R.A., Wells, Q.S., Denny, J.C. and Wei, W.Q., “Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction,” Scientific Reports, vol. 9, no. 1, pp. 1- 10, 2019.
[29] Peter Mwangi Muchiri, Jacinta Mwende Maweu, Fredrick Kamande Karanja, William Otiende Ogara, "Prioritizing Climate-Smart Agriculture Adaptation Options: The Case of Smallholder Farmers at Wiyumiririe Laikipia County, Kenya," SSRG International Journal of Agriculture & Environmental Science, vol. 6, no. 6, pp. 15-27, 2019. Crossref, https://doi.org/10.14445/23942568/IJAES-V6I6P103
[30] Illowsky, Barbara, "Testing the Significance of the Correlation Coefficient," Adapted By Darlene Young Introductory Statistics, 2018.
[31] Chen, Jie, Kees de Hoogh, John Gulliver, Barbara Hoffmann, Ole Hertel, Matthias Ketzel, Mariska Bauwelinck et al., "A Comparison of Linear Regression, Regularization, and Machine Learning Algorithms to Develop Europe-Wide Spatial Models of Fine Particles and Nitrogen Dioxide," Environment International, vol. 130, pp. 104934, 2019.