Authors:
Paulo Lana
;
Cristiane Nobre
;
Luis Zarate
and
Mark Song
Affiliation:
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Brazil
Keyword(s):
Formal Concept Analysis, Triadic Concept Analysis, Association Rules, Implications, COVID-19.
Abstract:
The COVID-19 pandemic, and consequently the difficulty of obtaining feedback on the effectiveness of contamination prevention methods, has caused an increased need to produce a relevant and consistent analysis from collected data. Through Formal Concept Analysis, applying the triadic approach, called Triadic Concept Analysis (TCA), it is possible to evaluate the correlation between prevention measures and the number of contaminated people by performing concept extraction and implication rules. The advantage of using this method is the possibility of correlating the waves, which allows us to explain and understand the evolution of the data over the collection waves, helping us draw a more assertive conclusion from the data analyzed. This paper uses the data collected from the 2020 National Population Survey of Nigeria to depict how Nigerian society’s essential and everyday behaviors impacted the evolution of the COVID-19 pandemic in that country. The results obtained from this researc
h can assist governments, and public entities in developing better public policies to combat highly infectious diseases. Furthermore, it provides practical evidence of how TCA can be applied, bringing benefits to different areas and fields of science.
(More)