Authors:
Mateus Sobreira
;
Martha Dias
;
Luiz Zarate
and
Mark Song
Affiliation:
Universidade Católica de Minas Gerais, Computer Science Department, Minas Gerais, Brazil
Keyword(s):
Formal Concept Analysis, COVID-19, Bangladesh, Behavior Analysis.
Abstract:
COVID-19 reported its first case on December 31, 2019, an illness rapidly spreading, becoming a global pandemic. Due to transmission through contact with respiratory droplets from infected individuals, governments implemented various preventive measures to minimize the spread of the disease. This work utilized Formal Concept Analysis (FCA) to assess the behavior of the inhabitants of Bangladesh regarding COVID-19, based on responses to a public questionnaire conducted virtually in 64 districts from April 1 to 10, 2020. A preprocessing stage was performed on the data to fit them into the format of a formal context with objects, attributes, and the relationships among them. From the resulting general formal context, it was possible to subdivide it according to the respondent gender, enabling an analysis of the behaviors of the men and women. Based on these formal contexts, association rules containing the most predominant relationships in the database were filtered using thresholds of
40% support and 80% confidence.
(More)