The COVID-19 outbreak has raised questions about how vulnerable groups experience the pandemic. Research that focuses on the view of individuals with pre-existing mental health conditions is still limited, and so are cross-country comparative surveys. We gathered our sample of qualitative data during the first lockdown after governmental measures against the spread of the SARS-CoV-2 virus came into force in Austria, Czechia, Germany, and Slovakia. A total of n = 1690 psychotherapists from four middle European countries answered the question of how the COVID-19 pandemic was addressed in sessions by their patients during the early stage of unprecedented public health conditions. We employed a descriptive qualitative methodology to determine themes following levels of the social-ecological model (SEM) regarding how the COVID-19 pandemic affected patients. At the public policy level, stressful environmental conditions concerned the governmental mitigation efforts. At the level of community/society, reported key themes were employment, restricted access to educational and health facilities, socioeconomic consequences, and the pandemic itself. Key themes at the interpersonal level regarded forced proximity, the possibility of infection of loved ones, childcare, and homeschooling. Key themes at the individual level were the possibility of contracting COVID-19, having to stay at home/isolation, and a changing environment. Within the SEM framework, adaptive and maladaptive responses to these stressors were reported, with more similarities than differences between the countries. A quantification of word stems showed that the maladaptive reactions predominated.

• Klíčová slova
• COVID-19, adaptive responses, maladaptive responses, mental health, pandemic, psychotherapy, social environment, stressors,
• MeSH
• COVID-19 * epidemiologie   MeSH
• kontrola infekčních nemocí MeSH
• lidé MeSH
• pandemie MeSH
• psychoterapeuti MeSH
• SARS-CoV-2 MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people ("source control") with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.

• Klíčová slova
• COVID-19, SARS-CoV-2, masks, pandemic,
• MeSH
• COVID-19 * epidemiologie   prevence a kontrola   MeSH
• lidé MeSH
• masky * MeSH
• SARS-CoV-2 * MeSH
• trasování kontaktů * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH