Objective: This analysis described the clinical features of COVID-19 in the early phase of the pandemic in Ghana Methods: Data were extracted from two national COVID-19 treatment centers in Ghana for over 11 weeks(from March to May 2020) Descriptive and inferential statistics were performed Modified Ordered Logistic and Negative Binomial Regression analysis were applied to establish factors associated with illness severity and Non-communicable Disease (NCDs) counts respectively All analysis was conducted at the 95% confidence level (p-value ≤ 0 05) using Stata 16 Results: Among the 275 patients, the average age was 40 7±16 4, with a preponderance of males (54 5%) The three commonest symptoms presented were cough (21 3%), headache (15 7%), and sore throat (11 7%) Only 7 6% of the patients had a history of fever Most patients were asymptomatic (51 65) Approximately 38 9% have an underlying co-morbid NCDs, with Hypertension (32 1%), Diabetes (9 9%), and Asthma (5 2%) being the three commonest The odds of Moderate/severe (MoS) was significantly higher for those with unknown exposures to similar illness [aOR(95%CI) = 4 27(1 12-10 2)] compared with non-exposure to similar illness An increased unit of NCD's count significantly increased the odds of COVID-19 MoS illness by 26%[cOR(95%CI) =1 26(1 09-1 84)] and 67% (adjusting for age) [aOR(95%CI)=1 67(1 13-2 49)] Conclusion: The presence of cardiovascular co-morbidities dictated the frequency of reported symptoms and severity of COVID-19 infection in this sample of Ghanaians Physicians should be aware of the presence of co-morbid NCDs and prepare to manage effectively among COVID-19 patients © 2020 Ghana Medical Association All right reserved
Clinical features of COVID-19 in Ghana: Symptomatology, illness severity and comorbid non-communicable diseases