Assessing sub-regional-specific strengths of healthcare systems associated with COVID-19 prevalence, deaths and recoveries in Africa.
Iddrisu AmaduBright Opoku AhinkorahAbdul-Rahaman AfitiriAbdul-Aziz SeiduEdward Kwabena AmeyawJohn Elvis HaganEric DukuSimon Appah AramPublished in: PloS one (2021)
The findings from this study suggest that patient-level characteristics such as ageing population (i.e., 65+), poverty, underlying co-morbidities-cardiovascular disease (e.g., hypertension), and diabetes through unhealthy behaviours like smoking as well as hospital care (i.e., beds per thousand) can help explain COVID-19 confirmed cases and mortality rates in Africa. Aside from these, other determinants (e.g., population density, the ability of detection, prevention and control) also affect COVID-19 prevalence, deaths and recoveries within African countries and sub-regions.
Keyphrases
- coronavirus disease
- healthcare
- sars cov
- cardiovascular disease
- risk factors
- type diabetes
- blood pressure
- cardiovascular events
- palliative care
- emergency department
- smoking cessation
- quality improvement
- coronary artery disease
- glycemic control
- pain management
- weight loss
- quantum dots
- sensitive detection
- health insurance