Many European countries have responded to the COVID-19 pandemic by implementing nationwide protection measures and lockdowns¹. However, the epidemic could rebound when such measures are relaxed, possibly leading to a requirement for a second or more, repeated lockdowns². Here, we present results of a stochastic agent-based microsimulation model of the COVID-19 epidemic in France. We examined the potential impact of post-lockdown measures, including physical distancing, mask-wearing and shielding individuals who are the most vulnerable to severe COVID-19 infection, on cumulative disease incidence and mortality, and on intensive care unit (ICU)-bed occupancy. While lockdown is effective in containing the viral spread, once lifted, regardless of duration, it would be unlikely to prevent a rebound. Both physical distancing and mask-wearing, although effective in slowing the epidemic and in reducing mortality, would also be ineffective in ultimately preventing ICUs from becoming overwhelmed and a subsequent second lockdown. However, these measures coupled with the shielding of vulnerable people would be associated with better outcomes, including lower mortality and maintaining an adequate ICU capacity to prevent a second lockdown. Benefits would nonetheless be markedly reduced if most people do not adhere to these measures, or if they are not maintained for a sufficiently long period.

From The Journal of Clinical Psychiatry:

Background: Research on the impact of the continuity of care (COC) on health outcomes in patients with mental illness is limited. This observational study examined whether the longitudinal COC is associated with a decreased likelihood of death among patients with mental disorders in the French general population.Method: Data were derived from the French National Health Insurance (NHI) reimbursement database. Patients with any mental disorder who visited a psychiatrist at least twice within 6 months were included. The primary endpoint was death by all causes. We measured longitudinal COC with a psychiatrist twice a year between 2007 and 2010, using the COC index developed by Bice and Boxerman. The COC index was analysed as a time-dependent variable in a survival analysis after adjustments for age, gender and stratifying on comorbidities and social status.Results: Among 14,515 patients visiting a psychiatrist at least twice in 6 months and tracked over 3 years, likelihood of death was significantly lower in patients with higher continuity of care (hazard ratio for an increase in 0.1 of continuity, adjusted for age, sex, and stratified on comorbidities and social status: 0.83 [0.83–0.83]), particularly in those with bipolar disorder, major depressive disorder and schizophrenia.Conclusion: Improving longitudinal continuity of care in mental health care may contribute to substantially decrease mortality.

The association between depressive symptoms and vegetarian diets is controversial. This study examines the cross-sectional association between depressive symptoms and vegetarian diets while controlling for potential confounders. Among 90,380 subjects from the population-based Constances cohort, depressive symptoms were defined by a score ≥19 on the Centre of Epidemiologic Studies-Depression (CES-D) scale and diet types (omnivorous, pesco-vegetarian, lacto-ovo-vegetarian and vegan) were determined with a food frequency questionnaire. Associations between depressive symptoms and diet were estimated through logistic regressions adjusting for socio-demographics, other foods, alcohol and tobacco consumption, physical activity and health-related concerns; specificity analyses considered the exclusion of any other food group. Depressive symptoms were associated with pesco-vegetarian and lacto-ovo-vegetarian diets in multivariable analyses (Odds-Ratio [95% confidence interval]: 1.43 [1.19–1.72] and 1.36 [1.09–1.70], respectively), especially in case of low legumes intake (p for interaction < 0.0001), as well as with the exclusion of any food group (e.g., 1.37 [1.24–1.52], 1.40 [1.31–1.50], 1.71 [1.49–1.97] for meat, fish and vegetables exclusion, respectively). Regardless of food type, the Odds-Ratio of depressive symptoms gradually increased with the number of excluded food groups (p for trend < 0.0001). Depressive symptoms are associated with the exclusion of any food group from the diet, including but not restricted to animal products.