Strategic support for the distribution of vaccines against Covid-19 to Brazilian remote areas: A multicriteria approach in the light of the ELECTRE-MOr method.
Procedia Comput Sci
; 199: 40-47, 2022.
Article
in English
| MEDLINE | ID: covidwho-1665383
ABSTRACT
The pandemic caused by the new coronavirus has brought to light a series of concerns for the Brazilian population and government departments due to the different costly consequences that it has generated. It has also mobilized different strategic fronts that plan and implement several mitigating measures against the virus. Besides, the search for solutions for adequate care for individuals in need of support has been constant. This work uses ELECTRE-MOr, a Multi-Criteria Decision Aid (MCDA) method, to support the logistic plan for the vaccine distribution throughout Brazil, essentially to remote areas. The method allows an objective and structured classification of ideal types of thermal boxes for the storage of immunobiological inside the Cold Chain, presenting the best alternative that maintains the quality of materials until the final destination and has the best cost-benefit. Currently, the ELECTRE-MOr model is under development in a computational tool in Python, allowing the use of the method intuitively and clearly, enabling professionals of any area of expertise to apply it.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Topics:
Vaccines
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Procedia Comput Sci
Year:
2022
Document Type:
Article
Affiliation country:
J.PROCS.2022.01.006
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