Covid-19 Sentry

Contents

From Preprints

  1. between 4th June 2020 to 28th May 2021. Pandemic-related potentially traumatic events (PTEs), work characteristics (e.g., contact to Covid-19 patients), and other covariates were used to predict Mental Health Index-5 (MHI-5) and Insomnia Severity Index (ISI) in generalized multilevel and latent-class mixed model regressions. Results: Local Covid-19 log-incidence (odds ratio, OR = 1.21, with 95% CI = 1.10–1.60), directly caring for Covid-19 patients (OR = 1.33, CI = 1.10–1.60) and PTEs (OR = 4.57, CI = 3.85–5.43) were all independently associated with low mental health, when (additionally) adjusting for age, sex, profession, and calendar time (a 5th degree polynomial expansion). Independence from time suggests effects of incidence change in time. Effects of local Covid-19 incidence on sleep were fully dependent on time. Latent mental-health trajectories were characterized by a large class of “stable mental health” and minority classes for “early shock, improving” and “early resilience, deteriorating” mental health. The minority classes, especially “early shock, improving”, were more likely to live alone and be exposed to PTEs than others. Conclusion: Healthcare workers face increasingly heterogeneous mental-health challenges as the Covid-19 pandemic prolongs. Adversity and mental ill-being may accumulate in some employees. More research is needed on the factors affecting employees’ resilience to the prolonging pandemic. Living arrangements may play a role.
    🖺 Full Text HTML: Healthcare workers’ heterogeneous mental-health responses to prolonging Covid-19 pandemic: A full year of monthly follow up in Finland
🖺 Full Text HTML: The T cell receptor repertoire reflects the dynamics of the immune response to vaccination

From Clinical Trials

  1. counseling;   Behavioral: Text messages (TMs) and quiz questions (QQs);   Behavioral: Peer education;   Behavioral: Access to COVID testing
    Sponsor:   New York University
    Not yet recruiting

From PubMed

From Patent Search