Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu-A Case Study.
Comput Math Methods Med
; 2022: 2048294, 2022.
Article
in English
| MEDLINE | ID: covidwho-1741723
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Decision Making, Organizational
/
Algorithms
/
COVID-19 Testing
/
COVID-19
Type of study:
Case report
/
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Comput Math Methods Med
Journal subject:
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
2022
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