Publications by authors named "Samuel K Amponsah"
Background: Diabetes mellitus, human immunodeficiency virus (HIV), hepatitis B and anaemia are major global public health issues according to the World Health Organization (WHO). Access to diagnostic testing is essential for their prompt detection and treatment. The WHO has recommended a list of essential in-vitro diagnostics for testing at all levels of care.
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- - The study aimed to fill the gap in understanding the prevalence and characteristics of cerebral palsy (CP) among children in Ghana by creating the first comprehensive register for affected children.
- - Out of 455 children registered, a significant majority had CP connected to pre- or perinatal issues, with many experiencing severe forms of motor impairment and associated challenges in education and rehabilitation.
- - The findings underscore a critical need for targeted interventions to enhance the health and quality of life for children with CP in Ghana, as many have not received necessary rehabilitation services.
Background: Limited knowledge on nutritional epidemiology in Ghanaian children with Cerebral Palsy (CP) necessitates a comprehensive investigation for an improved understanding of malnutrition in this population.
Objectives: We aimed to describe the epidemiology of malnutrition among children with CP in Ghana.
Methods: The study used data collected as part of the Ghana CP Register (GCPR).
Background: This study aimed to describe the epidemiology of malnutrition among children with cerebral palsy (CP) in low- and middle-income countries (LMICs).
Methods: Data from children with confirmed CP aged <18 years registered into the Global LMIC CP Register (GLM CPR) from Bangladesh, Indonesia, Nepal, and Ghana were included. Anthropometric measurements were collected, and nutritional status was determined following the WHO guidelines.
Probabilistic quantitative microbial risk assessment model of norovirus from wastewater irrigated vegetables in Ghana using genome copies and fecal indicator ratio conversion for estimating exposure dose.
Sci Total Environ
December 2017
The need to replace the commonly applied fecal indicator conversions ratio (an assumption of 1:10 virus to fecal indicator organism) in Quantitative Microbial Risk Assessment (QMRA) with models based on quantitative data on the virus of interest has gained prominence due to the different physical and environmental factors that might influence the reliability of using indicator organisms in microbial risk assessment. The challenges facing analytical studies on virus enumeration (genome copies or particles) have contributed to the already existing lack of data in QMRA modelling. This study attempts to fit a QMRA model to genome copies of norovirus data.
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