Background As part of the humanitarian response to the COVID-19 pandemic, the German Armed Forces provided air transport for patients to Germany from overwhelmed regional hospitals in Italy and France. Thus far, 22 Italian and 2 French citizens have been flown to Germany as part of this effort. The objective of this study is to use a pre-post comparison to analyse changes in vital signs, in particular regarding the ventilation status of the patients, and to draw conclusions for future transports of COVID-19 patients in fixed-wing aircraft.

[No abstract available]

As the French government decided on a lockdown of the population to prevent the spread of COVID-19, it soon appeared that, in an apparent paradox, two forcibly confined categories were particularly at risk: prisoners and detainees. Confronted with multiple mobilizations from civil society, authorities reacted in two distinct ways, significantly reducing the demographic of correctional facilities to allow for protective measures, but refusing to temporarily close detention centers, despite their insalubrious conditions and the impossibility of organizing deportations.

The COVID-19 pandemic that reached France in the first half of 2020 has led to multiple adaptations of our healthcare system, and of all individual healthcare personnel, to take care of all the most serious patients. For the certified registered nurse anesthetist (IADE) of the Emergency Medical Aid Service (SAMU) of Paris-Mobile Emergency and Resuscitation Service (SMUR) Necker, who usually work in rotation between the paediatric and adult anaesthesia services and the SMUR, the redeployment of activity has been mainly on the out-of-hospital level.

An extension of the classical pandemic SIRD model is considered for the regional spread of COVID-19 in France under lockdown strategies. This compartment model divides the infected and the recovered individuals into undetected and detected compartments respectively. By fitting the extended model to the real detected data during the lockdown, an optimization algorithm is used to derive the optimal parameters, the initial condition and the epidemics start date of regions in France.

Objectives: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. Study design: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. Methods: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis.

Background: The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use. Objective: Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France. Methods: A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants.

Background: More than half of the global population is under strict forms of social distancing. Estimating the expected impact of lockdown and exit strategies is critical to inform decision makers on the management of the COVID-19 health crisis. Methods: We use a stochastic age-structured transmission model integrating data on age profile and social contacts in Île-de-France to (i) assess the epidemic in the region, (ii) evaluate the impact of lockdown, and (iii) propose possible exit strategies and estimate their effectiveness.

Background: On March 17, 2020, French authorities implemented a nationwide lockdown to respond to the COVID-19 epidemic and curb the surge of patients requiring critical care. Assessing the effect of lockdown on individual displacements is essential to quantify achievable mobility reductions and identify the factors driving the changes in social dynamics that affected viral diffusion.

[No abstract available]