No abstract

Current Ebola virus disease (EVD) diagnosis relies on reverse transcription-PCR (RT-PCR) technology, requiring skilled laboratory personnel and technical infrastructure. Lack of laboratory diagnostic capacity has led to diagnostic delays in the current West African EVD outbreak of 2014 and 2015, compromising outbreak control. We evaluated the diagnostic accuracy of the EVD bedside rapid diagnostic antigen test (RDT) developed by the United Kingdom's Defence Science and Technology Laboratory, compared with Ebola virus RT-PCR, in an operational setting for EVD diagnosis of suspected cases admitted to Ebola holding units in the Western Area of Sierra Leone. From 22 January to 16 February 2015, 138 participants were enrolled. EVD prevalence was 11.5%. All EVD cases were identified by a positive RDT with a test line score of 6 or more, giving a sensitivity of 100% (95% confidence interval (CI): 78.2-100). The corresponding specificity was high (96.6%, 95% CI: 91.3-99.1). The positive and negative predictive values for the population prevalence were 79.0% (95% CI: 54.4-93.8) and 100% (95% CI: 96.7-100), respectively. These results, if confirmed in a larger study, suggest that this RDT could be used as a 'rule-out' screening test for EVD to improve rapid case identification and resource allocation.

Children died rapidly, more than half in Ebola holding units before transfer to treatment units.

IntroductionThe COVID-19 pandemic has adversely affected health systems in many countries, but little is known about effects on health systems in sub-Saharan Africa. This study examines the effects of COVID-19 on hospital utilisation in a sub-Saharan country, Sierra Leone.MethodsMixed-methods study using longitudinal nationwide hospital data (admissions, operations, deliveries and referrals) and qualitative interviews with healthcare workers and patients. Hospital data were compared across quarters (Q) in 2020, with day 1 of Q2 representing the start of the pandemic in Sierra Leone. Admissions are reported in total and disaggregated by sex, service (surgical, medical, maternity and paediatric) and hospital type (government or private non-profit). Referrals in 2020 were compared with 2019 to assess whether any changes were the result of seasonality. Comparisons were performed using Student’s t-test. Qualitative data were analysed using thematic analysis.ResultsFrom Q1 to Q2, weekly mean hospital admissions decreased by 14.7% (p=0.005). Larger decreases were seen in male 18.8% than female 12.5% admissions. The largest decreases were in surgical admissions, a 49.8% decrease (p<0.001) and medical admissions, a 28.7% decrease (p=0.002). Paediatric and maternity admissions did not significantly change. Total operations decreased by 13.9% (p<0.001), while caesarean sections and facility-based deliveries showed significant increases: 12.7% (p=0.014) and 7.5% (p=0.03), respectively. In Q3, total admissions remained 13.2% lower (p<0.001) than Q1. Mean weekly referrals were lower in Q2 and Q3 of 2020 compared with 2019, suggesting findings were unlikely to be seasonal. Qualitative analysis identified both supply-side factors, prioritisation of essential services, introduction of COVID-19 services and pausing elective care, and demand-side factors, fear of nosocomial infection and financial hardship.ConclusionThe study demonstrated a decrease in hospital utilisation during COVID-19, the decrease is less than reported in other countries during COVID-19 and less than reported during the Ebola epidemic.