Learning in times of stress: Lessons from COVID-19 that will last throughout this century.
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ABSTRACT:
SUBMITTER: Jimenez-Fonseca P
PROVIDER: S-EPMC8585637 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Toxins are the poisonous products of organisms. Toxins serve vital defensive and offensive functions for those that harbor them: stinging scorpions, pesticidal plants, sanguinary snakes, fearless frogs, sliming snails, noxious newts, and smarting spiders. For physiologists, toxins are integral chemical tools that hijack life's fundamental processes with remarkable molecular specificity. Our understanding of electrophysiological phenomena has been transformed time and time again with the help of some terrifying toxins. For this reason, studies of toxin mechanism are an important and enduring facet of The Journal of General Physiology (JGP). This Milestone in Physiology reflects on toxins studied in JGP over its first 100 years, what they have taught us, and what they have yet to reveal.
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Project description:In recent years behavioural science has quickly become embedded in national level governance. As the contributions of behavioural science to the UK's COVID-19 response policies in early 2020 became apparent, a debate emerged in the British media about its involvement. This served as a unique opportunity to capture public discourse and representation of behavioural science in a fast-track, high-stake context. We aimed at identifying elements which foster and detract from trust and credibility in emergent scientific contributions to policy making. With this in mind, in Study 1 we use corpus linguistics and network analysis to map the narrative around the key behavioural science actors and concepts which were discussed in the 647 news articles extracted from the 15 most read British newspapers over the 12-week period surrounding the first hard UK lockdown of 2020. We report and discuss (1) the salience of key concepts and actors as the debate unfolded, (2) quantified changes in the polarity of the sentiment expressed toward them and their policy application contexts, and (3) patterns of co-occurrence via network analyses. To establish public discourse surrounding identified themes, in Study 2 we investigate how salience and sentiment of key themes and relations to policy were discussed in original Twitter chatter (N = 2,187). In Study 3, we complement these findings with a qualitative analysis of the subset of news articles which contained the most extreme sentiments (N = 111), providing an in-depth perspective of sentiments and discourse developed around keywords, as either promoting or undermining their credibility in, and trust toward behaviourally informed policy. We discuss our findings in light of the integration of behavioural science in national policy making under emergency constraints.
| S-EPMC8247580 | biostudies-literature
Project description:BackgroundThe COVID-19 mortality rate in Belgium has been ranked among the highest in the world. To assess the appropriateness of the country's COVID-19 mortality surveillance, that includes long-term care facilities deaths and deaths in possible cases, the number of COVID-19 deaths was compared with the number of deaths from all-cause mortality. Mortality during the COVID-19 pandemic was also compared with historical mortality rates from the last century including those of the Spanish influenza pandemic.MethodsExcess mortality predictions and COVID-19 mortality data were analysed for the period March 10th to June 21st 2020. The number of COVID-19 deaths and the COVID-19 mortality rate per million were calculated for hospitals, nursing homes and other places of death, according to diagnostic status (confirmed/possible infection). To evaluate historical mortality, monthly mortality rates were calculated from January 1900 to June 2020.ResultsNine thousand five hundred ninety-one COVID-19 deaths and 39,076 deaths from all-causes were recorded, with a correlation of 94% (Spearman's rho, p < 0,01). During the period with statistically significant excess mortality (March 20th to April 28th; total excess mortality 64.7%), 7917 excess deaths were observed among the 20,159 deaths from all-causes. In the same period, 7576 COVID-19 deaths were notified, indicating that 96% of the excess mortality were likely attributable to COVID-19. The inclusion of deaths in nursing homes doubled the COVID-19 mortality rate, while adding deaths in possible cases increased it by 27%. Deaths in laboratory-confirmed cases accounted for 69% of total COVID-19-related deaths and 43% of in-hospital deaths. Although the number of deaths was historically high, the monthly mortality rate was lower in April 2020 compared to the major fatal events of the last century.ConclusionsTrends in all-cause mortality during the first wave of the epidemic was a key indicator to validate the Belgium's high COVID-19 mortality figures. A COVID-19 mortality surveillance limited to deaths from hospitalised and selected laboratory-confirmed cases would have underestimated the magnitude of the epidemic. Excess mortality, daily and monthly number of deaths in Belgium were historically high classifying undeniably the first wave of the COVID-19 epidemic as a fatal event.
| S-EPMC7662738 | biostudies-literature
Project description:Pandemic dynamics and health care responses are markedly different during the COVID-19 pandemic than in earlier outbreaks. Compared with established infectious disease such as influenza, we currently know relatively little about the origin, reservoir, cross-species transmission and evolution of SARS-CoV-2. Health care services, drug availability, laboratory testing, research capacity and global governance are more advanced than during 20th century pandemics, although COVID-19 has highlighted significant gaps. The risk of zoonotic transmission and an associated new pandemic is rising substantially. COVID-19 vaccine development has been done at unprecedented speed, with the usual sequential steps done in parallel. The pandemic has illustrated the feasibility of this approach and the benefits of a globally coordinated response and infrastructure. Some of the COVID-19 vaccines recently developed or currently in development might offer flexibility or sufficiently broad protection to swiftly respond to antigenic drift or emergence of new coronaviruses. Yet many challenges remain, including the large-scale production of sufficient quantity of vaccines, delivery of vaccines to all countries and ensuring vaccination of relevant age groups. This wide vaccine technology approach will be best employed in tandem with active surveillance for emerging variants or new pathogens using antigen mapping, metagenomics and next generation sequencing.
| S-EPMC8459551 | biostudies-literature
Project description:The COVID-19 pandemic has revealed the power of internet disinformation in influencing global health. The deluge of information travels faster than the epidemic itself and is a threat to the health of millions across the globe. Health apps need to leverage machine learning for delivering the right information while constantly learning misinformation trends and deliver these effectively in vernacular languages in order to combat the infodemic at the grassroot levels in the general public. Our application, WashKaro, is a multi-pronged intervention that uses conversational Artificial Intelligence (AI), machine translation, and natural language processing to combat misinformation (NLP). WashKaro uses AI to provide accurate information matched against WHO recommendations and delivered in an understandable format in local languages. The primary aim of this study was to assess the use of neural models for text summarization and machine learning for delivering WHO matched COVID-19 information to mitigate the misinfodemic. The secondary aim of this study was to develop a symptom assessment tool and segmentation insights for improving the delivery of information. A total of 5026 people downloaded the app during the study window; among those, 1545 were actively engaged users. Our study shows that 3.4 times more females engaged with the App in Hindi as compared to males, the relevance of AI-filtered news content doubled within 45 days of continuous machine learning, and the prudence of integrated AI chatbot "Satya" increased thus proving the usefulness of a mHealth platform to mitigate health misinformation. We conclude that a machine learning application delivering bite-sized vernacular audios and conversational AI is a practical approach to mitigate health misinformation.
| S-EPMC8764038 | biostudies-literature
Project description:Prior research has shown that that management control practices change in response to global crises, yet we have little understanding of the behavioral consequences of these changes. The purpose of this study is to explore the behavioral effects that stem from crisis-induced changes to management control practices and the factors that intensify or diminish these effects. Using survey data from business unit managers in the Netherlands, our results show that firms tighten their budget controls in response to a negative impact of Covid-19. In turn, the tightening of budget controls is positively associated with employees’ emotional exhaustion because of increased perceptions of role ambiguity and role conflict. We furthermore find that the effect of tighter budget controls on role ambiguity is mitigated when managers perceive that the budget controls are used in an enabling way prior to the crisis but heightened with increased trust in senior management. These results suggest that if firms use their budgets to help managers acquire a deeper understanding of their tasks and responsibilities, they are better able to respond to a negative shock and the accompanying tightening of budget controls, which helps mitigate the undesired behavioral response of increased role ambiguity and emotional exhaustion. Our findings also suggest that trust, which usually is beneficial to organizations, has a ‘dark’ side in that managers will push themselves harder to reciprocate the trust they have in their senior managers, which exacerbates the effect of tighter budget controls on role ambiguity and, in turn, emotional exhaustion.
| S-EPMC8801259 | biostudies-literature
Project description: Not available
| S-EPMC8402997 | biostudies-literature
Project description:PurposeThe COVID-19 pandemic resulted in the cancelation of traditional on-site clinical rotations for medical students across the country. Radiology educators have had to rapidly adapt to a new, virtual educational landscape. We describe our experience restructuring a Trauma and Emergency Radiology Elective to an online format and present survey data obtained from students who completed the course.MethodsThis elective is a 4-week course offered to third and fourth year medical students at a large Level 1 Trauma Center. Changes to the traditional rotation included assigning an increased number of self-study educational resources, independent review of unknown cases using a virtual workstation, and online interactive conferences. At the conclusion of each block, students were asked to complete post-course feedback surveys.ResultsThirteen students enrolled in this online course; 92% submitted post-course surveys. Students strongly agreed that the course was clinically relevant, with accessible, engaging material (average score, 4.92/5), and 91.7% of students were very likely to recommend this rotation to others. Students reported improved post-course confidence in ordering and interpreting imaging studies. A majority (60%) of students who had previously taken an on-site course would have preferred a course that combined traditional and online learning elements.ConclusionsThe success of our online rotation highlights the merits of self-directed learning and flipped-classroom techniques. Many of the principles incorporated into this course could be applied and/or modified to increase medical student engagement when students return to the hospital.
| S-EPMC7793389 | biostudies-literature
Project description: Not available
| S-BSST563 | biostudies-other
Project description:BACKGROUND:Due to the 2019 novel coronavirus (COVID-19) disease outbreak, social distancing measures were imposed to control the spread of the pandemic. However, isolation may affect negatively the psychological well-being and impair sleep quality. Our aim was to evaluate the sleep quality of respiratory patients during the COVID-19 pandemic lockdown. METHODS:All patients who underwent a telemedicine appointment from March 30 to April 30 of 2020 were asked to participate in the survey. Sleep difficulties were measured using Jenkins Sleep Scale. RESULTS:The study population consisted of 365 patients (mean age 63.9 years, 55.6% male, 50.1% with sleep-disordered breathing [SDB]). During the lockdown, 78.9% of participants were confined at home without working. Most patients (69.6%) reported at least one sleep difficulty and frequent awakenings was the most prevalent problem. Reporting at least one sleep difficulty was associated with home confinement without working, female gender and diagnosed or suspected SDB, after adjustment for cohabitation status and use of anxiolytics. Home confinement without working was associated with difficulties falling asleep and waking up too early in the morning. Older age was a protective factor for difficulties falling asleep, waking up too early and non-restorative sleep. Notably, SDB patients with good compliance to positive airway pressure therapy were less likely to report sleep difficulties. CONCLUSIONS:Home confinement without working, female gender and SDB may predict a higher risk of reporting sleep difficulties. Medical support during major disasters should be strengthened and potentially delivered through telemedicine, as this comprehensive approach could reduce psychological distress and improve sleep quality.
| S-EPMC7366086 | biostudies-literature