Selected article for: "logistic regression analysis and low resource"

Author: Johnbosco Ifunanya Nwafor; Joseph Kenechi Aniukwu; Bonaventure Okechukwu Anozie; Arinze Chidiebere Ikeotuonye
Title: Knowledge and practice of preventive measures against COVID-19 infection among pregnant women in a low-resource African setting
  • Document date: 2020_4_20
  • ID: k5883w6s_36
    Snippet: The strength of this study is that it is the first study to evaluate the knowledge, practice and sociodemographic variables associated with poor knowledge and practice of preventive measures against coronavirus infection among pregnant mothers in a low-resource setting. These associated factors of poor practice were determined using bivariate and multivariate logistic regression analysis. These statistical methods are appropriate and efficient me.....
    Document: The strength of this study is that it is the first study to evaluate the knowledge, practice and sociodemographic variables associated with poor knowledge and practice of preventive measures against coronavirus infection among pregnant mothers in a low-resource setting. These associated factors of poor practice were determined using bivariate and multivariate logistic regression analysis. These statistical methods are appropriate and efficient method for determining associations between dependent and independent variables. Despite these strengths, this study has a limitation. It is a single centre study which limits the generalization of the study findings to the study area. A multicentre study would have been ideal.

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