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Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

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Faculty of Economics and Business, Campus UI Depok, Universitas Indonesia, West Java 16426, Indonesia
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Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, Seoul 08826, Korea
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Department of Information Management, College of Informatics, Chaoyang University of Technology, Taichung 41349, Taiwan
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Medical Research Center, Seoul National University Hospital (SNU-H), Seoul 03080, Korea
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Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia
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Department of Statistics, Pukyong National University, Nam-gu, Busan 608-737, Korea
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Department of Mathematics, Universitas Sumatera Utara, Medan 20155, Indonesia
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Computer Science Department, Bina Nusantara University, Jakarta 11480, Indonesia
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Authors to whom correspondence should be addressed.
Academic Editor: Jan Awrejcewicz
Symmetry 2021, 13(4), 657; https://doi.org/10.3390/sym13040657
Received: 24 February 2021 / Revised: 23 March 2021 / Accepted: 23 March 2021 / Published: 12 April 2021
(This article belongs to the Section Mathematics and Symmetry/Asymmetry)
Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%. View Full-Text
Keywords: climate; communicable disease; hierarchical likelihood; penta-helix; structural equation modelling climate; communicable disease; hierarchical likelihood; penta-helix; structural equation modelling
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MDPI and ACS Style

Caraka, R.E.; Noh, M.; Chen, R.-C.; Lee, Y.; Gio, P.U.; Pardamean, B. Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling. Symmetry 2021, 13, 657. https://doi.org/10.3390/sym13040657

AMA Style

Caraka RE, Noh M, Chen R-C, Lee Y, Gio PU, Pardamean B. Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling. Symmetry. 2021; 13(4):657. https://doi.org/10.3390/sym13040657

Chicago/Turabian Style

Caraka, Rezzy Eko, Maengseok Noh, Rung-Ching Chen, Youngjo Lee, Prana Ugiana Gio, and Bens Pardamean. 2021. "Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling" Symmetry 13, no. 4: 657. https://doi.org/10.3390/sym13040657

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