Publications by authors named "Murtala Muhammad Umar"
Purpose: To determine the prevalence of trachoma and water and sanitation coverage in four local government areas (LGAs) of Jigawa State, Nigeria: Birnin Kudu, Buji, Dutse and Kiyawa.
Methodology: A population-based cross-sectional survey was conducted in each LGA using Global Trachoma Mapping Project (GTMP) protocols. From each LGA, 25 villages were selected using probability-proportional-to-population size sampling; in each village, 25 households were selected using the random walk technique.
Purpose: To determine prevalence of trachoma after interventions in 15 local government areas (LGAs) of Kebbi, Sokoto and Zamfara States, Nigeria.
Methods: A population-based impact survey was conducted in each LGA using Global Trachoma Mapping Project (GTMP) protocols. In each LGA, 25 villages were selected, except in Arewa LGA, where we selected 25 villages from each of four subunits to obtain finer-resolution prevalence information.
Purpose: The World Health Organization's (WHO's) global trachoma elimination programme recommends mapping of trachoma at district level for planning of elimination activities in affected populations. This study aimed to provide data on trachoma prevalence for the Area Councils of Nigeria's Federal Capital Territory (FCT).
Methods: Using the Global Trachoma Mapping Project (GTMP) protocols, in March and April 2014, we conducted a population-based cross-sectional survey in each of the six Area Councils of FCT.
Purpose: We sought to determine the prevalence of trachoma in 44 Local Government Areas (LGAs) of Kano State, Nigeria.
Methods: A population-based prevalence survey was conducted in each Kano LGA. We used a two-stage systematic and quasi-random sampling strategy to select 25 households from each of 25 clusters in each LGA.
Article Synopsis
- The World Health Organization aims to eliminate trachoma globally by 2020, recommending district-level mapping to plan elimination activities; this study focuses on trachoma data for Kaduna State, Nigeria.
- A population-based survey conducted in 23 local government areas (LGAs) of Kaduna State revealed low prevalence rates of trachomatous inflammation in children and varying levels of trichiasis among adults.
- While Kaduna State is largely hypoendemic for trachoma, some surgical intervention is still necessary, emphasizing the need for improved access to water and sanitation facilities.
Purpose: To determine the prevalence of trachoma in each of the 25 local government areas (LGAs) of Niger State, Nigeria.
Methods: A population-based cross-sectional survey was conducted in each Niger State LGA between March and April 2014, as part of the Global Trachoma Mapping Project (GTMP). GTMP protocols were used in planning and conduct of the surveys.
Purpose: To determine the prevalence of trachomatous inflammation - follicular (TF) and trichiasis in each of the 20 local government areas (LGAs) of Bauchi State, Nigeria.
Methods: We undertook a population-based prevalence survey in each LGA in Bauchi State, employing the Global Trachoma Mapping Project methodology. We used a 2-stage, systematic and quasi-random sampling strategy.
Purpose: To determine the need or otherwise for establishment of a trachoma elimination program in Gombe State, Nigeria, by estimating the population-based prevalence of trachoma in each Local Government Area (LGA) of Gombe.
Methods: Using a multi-stage, systematic, random, and quasi-random sampling approach and Global Trachoma Mapping Project support, we selected 25 clusters in each LGA. In each cluster, we selected 25 households and all consenting residents aged 1 year and older were examined for trachomatous inflammation-follicular (TF) and trichiasis, using the World Health Organization simplified grading scheme.
Purpose: To determine the prevalence of presbyopia, and near vision spectacle coverage in a rural population of Northwestern Nigeria.
Study Design: Cross sectional prevalence study.
Subjects And Methods: Six hundred and fifty people of at least 40 years of age, in 13 clusters (50 per cluster) were examined using a multi-stage random sampling with probability proportional to size.