Statistical Analysis of Factors Associated with Non-Compliance with Epidemiological Standards in the Bokoro Health Zone (2021 To 2023)
MAMANYA TAPASA Fernand *
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University, Kinshasa-DRC, Democratic Republic of Congo.
LIKOTELO BINENE Camile
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University, Kinshasa-DRC, Democratic Republic of Congo.
MATONDO MODJOU
Water and Environment Research Center (CREE), Kinshasa, Democratic Republic of Congo.
Emilien LORANU LONDJIRINGA
Exact Sciences Section, Department of Mathematics and Physics, ISP BUNIA, Ituri –DRC.
Kiala Lutumba Guylit
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University, Kinshasa-DRC, Democratic Republic of Congo.
PEMBELE NTUMBA Grace
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University, Kinshasa-DRC, Democratic Republic of Congo.
LUKEKA BYEMBA Valery
Interdisciplinary Research Center of the National Pedagogical University (CRIDUPN), Kinshasa-DRC.
KIALA WA KIALA Arnold
Faculty of Science and Technology, Department of Mathematics and Computer Science, National Pedagogical University, Kinshasa-DRC, Democratic Republic of Congo.
*Author to whom correspondence should be addressed.
Abstract
This study analyses factors associated with non-compliance with epidemiological standards in the Bokoro Health Zone (2021-2023) using univariate and bivariate statistical analyses. Key factors influencing non-compliance include socio-demographic, socio-cultural, and organizational factors. Our findings reveal significant correlations between non-compliance and factors such as health area of origin, membership structure, and occupation, with recommendations for improving compliance and surveillance efficiency.
Keywords: Factor, standard, epidemiological, monovariate analysis, bivariate analysis, Data analysis