The COVID-19 pandemic is causing a significant global health crisis. As the disease continues to spread worldwide, little is known about the countrylevel factors affecting the transmission in the early weeks. The present study objective was to explore the country-level factors, including government actions that explain the variation in the cumulative cases of COVID-19 within the first 15 days since the first case reported. Using publicly available sources, country socioeconomic, demographic and health-related risk factors, together with government measures to contain COVID-19 spread, were analysed as predictors of the cumulative number of COVID-19 cases at three time points (t = 5, 10 and 15) since the first case reported (n = 134 countries). Drawing on negative binomial multivariate regression models, HDI, healthcare expenditure and resources, and the variation in the measures taken by the governments, significantly predicted the incidence risk ratios of COVID-19 cases at the three time points. The estimates were robust to different modelling techniques and specifications. Although wealthier countries have elevated human development and healthcare capacity in respect to their counterparts (low-and middle-income countries) the early implementation of effective and incremental measures taken by the governments are crucial to controlling the spread of COVID-19 in the early weeks.

Background: Latin America, and Chile in particular, has a rich tradition of community mental health services and programs. However, in vivo community-based psychosocial interventions, especially those with a recovery-oriented approach, remain scarce in the region. Between 2014 and 20l5, a Critical Time Intervention-Task Shifting project (CTI-TS) was implemented in Santiago, Chile, as part of a larger pilot randomized control trial. CTI is a time-limited intervention delivered at a critical-time to users, is organized by phases, focuses on specific objectives and decreases in intensity over time. CTI-TS, which combines both the task-shifting strategy and the use of peers, introduces a novel approach to community mental health care that has not yet been tried in Chile. Aims: We aim to evaluate the feasibility, acceptability and applicability of such a community-based psychosocial intervention in urban settings in Latin America – specifically, in Santiago (Chile) from a user perspective. Method: We analyzed 15 in-depth interviews (n = 15) with service users who participated in the intervention about their perceptions and experiences with CTI-TS through thematic analysis. Results: Three themes were revealed. The first was related to the structural characteristics of CTI-TS, especially regarding the timing, duration and phasic nature of the intervention. The second pertained to the acceptability of the in vivo community-based approach. The third theme dealt with the task-shifting aspect, that is, users’ perceptions of the peer support workers and the community mental health workers. Conclusions: CTI-TS was generally acceptable in this Latin American context. Users’ perspectives pointed to the need to make adjustments to some of the structural characteristics of the CTI model and to combine this type of intervention with others that can address stigma. Thus, future adaptations of CTI-TS or similar psychosocial interventions in Latin American contexts are feasible and can enhance community mental health in the region.

a pandemia producida por SARS-CoV-2 (COVID-19) a enero de 2021 ha afectado a más de 83 millones de personas, con más de 1,8 millones de muertes en el mundo 1 . En Chile, se han confirmado 629.176 casos y 16.913 fallecimientos 2 . Esta pandemia tiene consecuencias di-rectas y graves desde el punto de vista infeccioso 3,4 , resultando particularmente agresiva, entre otras causas, por la tensión que imponen a los servicios de salud al representar una demanda asistencial intensa en un tiempo acotado.Estudios iniciales durante esta pandemia hanEl impacto de la pandemia de COVID-19 en la salud mental de los trabajadores de la salud en Chile: datos iniciales de The Health Care Workers Study

Backgrounds The prevalence of loneliness increases among older adults, varies across countries, and is related to within-country socioeconomic, psychosocial, and health factors. The 2000–2019 pooled prevalence of loneliness among adults 60 years and older went from 5.2% in Northern Europe to 24% in Eastern Europe, while in the US was 56% in 2012. The relationship between country-level factors and loneliness, however, has been underexplored. Because income inequality shapes material conditions and relative social deprivation and has been related to loneliness in 11 European countries, we expected a relationship between income inequality and loneliness in the US and 16 European countries. Methods We used secondary cross-sectional data for 75,891 adults age 50+ from HRS (US 2014), ELSA (England, 2014), and SHARE (15 European countries, 2013). Loneliness was measured using the R-UCLA three-item scale. We employed hierarchical logistic regressions to analyse whether income inequality (GINI coefficient) was associated with loneliness prevalence. Results The prevalence of loneliness was 25.32% in the US (HRS), 17.55% in England (ELSA) and ranged from 5.12% to 20.15% in European countries (SHARE). Older adults living in countries with higher income inequality were more likely to report loneliness, even after adjusting for the sociodemographic composition of the countries and their Gross Domestic Products per capita (OR: 1.52; 95% CI: 1.17–1.97). Discussion Greater country-level income inequality was associated with higher prevalence of loneliness over and above individual-level sociodemographics. The present study is the first attempt to explore income inequality as a predictor of loneliness prevalence among older adults in the US and 16 European countries. Addressing income distribution and the underlying experience of relative deprivation might be an opportunity to improve older adults’ life expectancy and wellbeing by reducing loneliness prevalence.