Background Population-based studies characterising outcomes of COVID-19 in European settings are limited, and effects of socio-economic status (SES) on outcomes have not been widely investigated. Aim We describe the epidemiological characteristics of COVID-19 cases, highlighting incidence and mortality rate differences across SES during the first wave in Barcelona, Catalonia, Spain. Methods This population-based study reports individual-level data of laboratory-confirmed COVID-19 cases diagnosed from 24 February to 4 May 2020, notified to the Public Health Agency of Barcelona and followed until 15 June 2020. We analysed end-of-study vital status and the effects of chronic conditions on mortality using logistic regression. Geocoded addresses were linked to basic health area SES data, estimated using the composed socio-economic index. We estimated age-standardised incidence, hospitalisation, and mortality rates by SES. Results Of 15,554 COVID-19-confirmed cases, the majority were women (n = 9,028; 58%), median age was 63 years (interquartile range: 46–83), 8,046 (54%) required hospitalisation, and 2,287 (15%) cases died. Prevalence of chronic conditions varied across SES, and multiple chronic conditions increased risk of death (≥ 3, adjusted odds ratio: 2.3). Age-standardised rates (incidence, hospitalisation, mortality) were highest in the most deprived SES quartile (incidence: 1,011 (95% confidence interval (CI): 975–1,047); hospitalisation: 619 (95% CI: 591–648); mortality: 150 (95% CI: 136–165)) and lowest in the most affluent (incidence: 784 (95% CI: 759–809); hospitalisation: 400 (95% CI: 382–418); mortality: 121 (95% CI: 112–131)). Conclusions COVID-19 outcomes varied markedly across SES, underscoring the need to implement effective preventive strategies for vulnerable populations.

Background and Aims: Free treatments for HCV infection with directacting antivirals became widespread in Spain in April 2015. We aimed to test whether, after this intervention, there was a more favorable change in population mortality from HCV-related than from non-HCV-related causes. Approach and Results: Postintervention changes in mortality were assessed using uncontrolled before-after and single-group interrupted time series designs. All residents in Spain during 2001-2018 were included. Various underlying death causes were analyzed: HCV infection; other HCV-related outcomes (HCC, liver cirrhosis, and HIV disease); and non-C hepatitis, other liver diseases, and nonhepatic causes as control outcomes. Changes in mortality after the intervention were first assessed by rate ratios (RRs) between the postintervention and preintervention age-standardized mortality rates.Subsequently, using quasi-Poisson segmented regression models, we estimated the annual percent change (APC) in mortality rate in the postintervention and preintervention periods. All mortality rates were lower during the postintervention period, although RRs were much lower for HCV (0.53; 95% CI, 0.51-0.56) and HIV disease than other causes. After the intervention, there was a great acceleration of the downward mortality trend from HCV, whose APC went from −3.2% (95% CI, −3.6% to −2.8%) to −18.4% (95% CI, −20.6% to −16.3%). There were also significant accelerations in the downward trends in mortality from HCC and HIV disease, while they remained unchanged for cirrhosis and slowed or reversed for other causes.Conclusions: These results suggest that the favorable changes in HCVrelated mortality observed for Spain after April 2015 are attributable to scaling up free treatment with direct-acting antivirals and reinforce that HCV eradication is on the horizon.