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Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu-A Case Study.
- Source :
-
Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Mar 10; Vol. 2022, pp. 2048294. Date of Electronic Publication: 2022 Mar 10 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials. Selection of the wrong location may lead to lose both health and wealth. In this paper, location selection is modelled as a decision-making problem. The paper uses fuzzy analytic hierarchy process (AHP) technique to generate the criteria weights, monkey search algorithm to optimize the weights, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the different locations. To illustrate the applicability of the proposed technique, a state named Tamil Nadu, located in India, is taken for a case study. The proposed structured algorithmic steps were applied for the input data obtained from the government of India website, and the results were analyzed and validated using the government of India website. The ranks assigned by the proposed technique to different locations are in aligning with the number of patients and death rate.<br />Competing Interests: The authors declare that there is no conflict of interest regarding the publication of this article.<br /> (Copyright © 2022 S. Saroja et al.)
- Subjects :
- COVID-19 epidemiology
COVID-19 Testing statistics & numerical data
Computational Biology
Fuzzy Logic
Humans
India epidemiology
Laboratories, Clinical organization & administration
Laboratories, Clinical statistics & numerical data
Organization and Administration statistics & numerical data
SARS-CoV-2
Workplace organization & administration
Workplace statistics & numerical data
Algorithms
COVID-19 diagnosis
COVID-19 Testing methods
Decision Making, Organizational
Subjects
Details
- Language :
- English
- ISSN :
- 1748-6718
- Volume :
- 2022
- Database :
- MEDLINE
- Journal :
- Computational and mathematical methods in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 35309835
- Full Text :
- https://doi.org/10.1155/2022/2048294