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  1. 1
    Distribution of factors that showed a significant association with the outcome in multivariable model by cervical cancer screening status (n = 315).

    Distribution of factors that showed a significant association with the outcome in multivariable model by cervical cancer screening status (n = 315). per Dennis Mose (22683307)

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  2. 2
    Factors associated with uptake of cervical cancer screening among women aged 18-49 years attending care at a sub-county public health facility in Coastal Kenya (N = 315).

    Factors associated with uptake of cervical cancer screening among women aged 18-49 years attending care at a sub-county public health facility in Coastal Kenya (N = 315). per Dennis Mose (22683307)

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  3. 3
    Socio-demographic characteristics of women aged 18-49 years attending care at a sub-county public health facility in Coastal Kenya (N = 315).

    Socio-demographic characteristics of women aged 18-49 years attending care at a sub-county public health facility in Coastal Kenya (N = 315). per Dennis Mose (22683307)

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