2020
DOI: 10.3934/publichealth.2020015
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Health-seeking behavior and waste management practices among women in major urban markets in Owerri, Nigeria

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Cited by 6 publications
(3 citation statements)
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“…Further studies show that public views are often not included in decision makings as their inputs are ignored when it comes to making waste management decisions (Oteng-Ababio, 2014). The use of political influence to push people to accept what politicians desire instead of what the people wish for, discourages them from attending subsequent meetings (Ezedike et al, 2020). Furthermore, bureaucracy by governments creates challenges when it comes to implementing decisions taken at public meetings (Nayak et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Further studies show that public views are often not included in decision makings as their inputs are ignored when it comes to making waste management decisions (Oteng-Ababio, 2014). The use of political influence to push people to accept what politicians desire instead of what the people wish for, discourages them from attending subsequent meetings (Ezedike et al, 2020). Furthermore, bureaucracy by governments creates challenges when it comes to implementing decisions taken at public meetings (Nayak et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…12, Issue 1, pp: 16-29, 2023 In carrying out ordinal regression, dummy variables which are dichotomous co-efficient that can fit into the regression model were created for both dependent and independent variables. The ordinal regression applied in the study is the Generalized Linear Model (GENLIN) which predicts the proportional odds of the dependent ordinal variables (Ezedike et al, 2020). The GENLIN can be described as general multivariate regression model Hypothesis tests with the GENLIN model can go the multivariate way where columns of Y (dependent variable) are tested together or as several independent univariate tests where columns of Y are tested independently (Harrell Jr, 2015).…”
Section: Study Respondents: Demographic Characteristicsmentioning
confidence: 99%
“…Low-income locations face additional complexities and hurdles, which include the implementation and consequent breakdown of inappropriate technologies [6], user-rejected top-down MSWM designs [7], vehicular inaccessibility due to cursory urban planning, and the scarcity of government-run facilities [8]. All these factors contribute to MSWM remaining an unresolved challenge [9], particularly in low-income regions. As such, there is a consensus that a solution to the solid waste management challenge in low-income countries must be locally developed to remain long-lasting [4,[10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%