Martin Ackah

Biographic Data

ID9068771
NAMEMartin Ackah
GIVEN NAMESMartin
FAMILY NAMEAckah
SIGNATUREACKAH M
AFFILIATIONSKorle Bu Teaching Hospital
ORCID0000-0002-5045-1104
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0

  • Day in-hospital stroke case fatality and significant risk factors in sub-Saharan–Africa

    Open AccessMartin Ackah, Louise Ameyaw et al.ARTICLEPLOS Global Public Health2024

    Existing studies investigating 30-day in-hospital stroke case fatality rates in sub-Saharan Africa have produced varying results, underscoring the significance of obtaining precise and reliable estimations for this indicator. Consequently, this study aimed to conduct a systematic review and update of the current scientific evidence regarding 30-day in-hospital stroke case fatality and associated risk factors in sub-Saharan Africa. Medline/PubMed,…

  • Estimated prevalence and gender disparity of physical activity among 64,127 in-school adolescents (aged 12–17 years)

    Open AccessMartin Ackah, David Owiredu et al.ARTICLEPLOS Global Public Health2022

    The Africa sub-region currently lacks quantitative normative data to illustrate the extent of burden and gender inequities of physical activity level in order to inform policy and education, towards meeting the WHO’s 2030 physical activity milestone. The study aimed to provide insights on the current prevalence of sufficient physical activity and gender disparity, using a nationally representative data from the Global School-based student Health …

  • Estimated burden, and associated factors of Urinary Incontinence among Sub-Saharan African women aged 15–100 years

    Open AccessMartin Ackah, Louise Ameyaw et al.ARTICLEPLOS Global Public Health2022

    Hospital and community based-studies had been conducted for Urinary Incontinence (UI) in Sub-Sahara Africa (SSA) countries. A significant limitation of these studies is likely under-estimation of the burden of UI in SSA. It is therefore, imperative that a well-structured systematic review and meta-analytical models in SSA are required to accurately and reliably estimate the burden of UI. Medline/PubMed, Google Scholar, Africa Journal Online (AJOL…