First Wave Of COVID-19 Research Articles

Estonian and Finnish early childhood education teachers’ views of well-being and changes at work during the COVID-19 pandemic

ABSTRACT This study aimed to shed light on how the first wave of COVID-19 influenced well-being and changed the work of early childhood education and care (ECEC) teachers in Estonia and Finland and how well-being and changes are associated with each other. The data used in this quantitative study were gathered via nationwide online surveys of early childhood education teachers (N = 378). The results revealed that there was no major change in teachers’ well-being at work. Likewise, changes in work were limited. However, there were large individual variations in these experiences between teachers and between countries. Finnish teachers’ well-being at work was only slightly explained by job changes, while Estonian teachers’ well-being was significantly more explained by them. The findings highlight the intertwined nature of well-being at work and work changes and the individual nature of the effects of the COVID-19 pandemic on teachers’ work.

The Effects of Air Quality and the Impact of Climate Conditions on the First COVID-19 Wave in Wuhan and Four European Metropolitan Regions

This paper investigates the impact of air quality and climate variability during the first wave of COVID-19 associated with accelerated transmission and lethality in Wuhan in China and four European metropolises (Milan, Madrid, London, and Bucharest). For the period 1 January–15 June 2020, including the COVID-19 pre-lockdown, lockdown, and beyond periods, this study used a synergy of in situ and derived satellite time-series data analyses, investigating the daily average inhalable gaseous pollutants ozone (O3), nitrogen dioxide (NO2), and particulate matter in two size fractions (PM2.5 and PM10) together with the Air Quality Index (AQI), total Aerosol Optical Depth (AOD) at 550 nm, and climate variables (air temperature at 2 m height, relative humidity, wind speed, and Planetary Boundary Layer height). Applied statistical methods and cross-correlation tests involving multiple datasets of the main air pollutants (inhalable PM2.5 and PM10 and NO2), AQI, and aerosol loading AOD revealed a direct positive correlation with the spread and severity of COVID-19. Like in other cities worldwide, during the first-wave COVID-19 lockdown, due to the implemented restrictions on human-related emissions, there was a significant decrease in most air pollutant concentrations (PM2.5, PM10, and NO2), AQI, and AOD but a high increase in ground-level O3 in all selected metropolises. Also, this study found negative correlations of daily new COVID-19 cases (DNCs) with surface ozone level, air temperature at 2 m height, Planetary Boundary PBL heights, and wind speed intensity and positive correlations with relative humidity. The findings highlight the differential impacts of pandemic lockdowns on air quality in the investigated metropolises.

Study of noise perception and health effects on population through a questionnaire in Spanish households during the COVID-19 lockdown

During the first wave of COVID-19, an online questionnaire was conducted to gather the Spanish population's perception of noise from households and its relationship with health effects. This research, which was conducted with 582 participants, examined several sources of noise (general noise, noise produced by family members inside the home, noise from neighbors, noise from common areas, facilities, and exterior noise) and various self-declared health effects by the participants such as stress, lack of concentration, sleep disturbances, anxiety, or irritability. A descriptive and statistical analysis was established between variables to observe relational trends for two periods (before and during confinement). The study demonstrates interesting relational trends that allow for both associating different noise sources with potential health effects and contextualizing them against other causes that remained consistent in both periods.

Bayesian State-space modelling of stock Markets in G7 Countries

This work examines the impact of Coronavirus disease (COVID-19) on the stock market of Group of Seven (G7) countries during the first wave of COVID-19 using daily data from March, 1st of 2020 to December, 31st of 2020. Focussing on such period, a Bayesian Structural Time Series Model (BSTSM) was used to capture the effects of first wave of COVID-19 on the stock market performance of these G7 countries by employing a Markov Chain Monte Carlo (MCMC) method. We considered an Autoregressive (AR) model with time-varying parameters and a local linear trend model to know if the stock price of these countries during the period of the first wave of COVID-19 is changing over time. There was a stochastic trend in stock prices of G7 countries during the period of the first wave of COVID-19 while the AR process itself was also changing over time. The stock market of the USA followed by Japan performed better than other G7 countries during the first phase of the COVID-19 pandemic while the stock market of France was affected during the COVID-19 pandemic.

Unravelling the role of secretory Immnuoglobulin-A in COVID-19: a multicentre study in nursing homes during the first wave

BackgroundThe function of mucosal secretory IgA (SIgA) seems to be paramount in the immune response against SARS-CoV-2 however, there are few studies addressing this issue specifically in the institutionalized older population. This study aims to determine the levels of secretory IgA against the S1 domain of the SARS-CoV-2 spike (SIgA-S1) in older people living in nursing homes (NH) and to investigate the differences in baseline characteristics, severity of COVID-19, duration of symptoms, 30-day mortality, and reinfection according to the levels of SIgA-S1.MethodsIn this multicentre longitudinal study, conducted in two NHs attended in coordination with a hospital-based Geriatric team, 305 residents (87.3 years, 74.4% female) were included. A massive collection of nasopharyngeal samples was carried out after the first wave of COVID-19 in May 2020 and an ELISA analysis of SIgA-S1 was performed on frozen samples in May 2023. Values of SIgA-S1 ≥ 57.6 U/mL (“cut-off point”) were considered “induced”. Resident medical records were reviewed to assess symptoms, comprehensive geriatric assessment (CGA), reinfection, and overall 30-day mortality.ResultsAt the time of sample collection, 274 residents (89.8%) exhibited “induced” SIgA-S1 levels (≥ 57.6 U/mL), 46 (15.1%) tested positive for PCR SARS-CoV-2, and 170 (57%) had experienced COVID-19 symptoms. “Induced” SIgA-S1 patients were more likely to be symptomatic (60.3% vs. 29%; p < 0.001) and exhibited upper respiratory tract symptoms more frequently (25.1% vs. 6.5%; p = 0.020) compared to “non-induced” patients. Patients with severe disease and duration of symptoms > 10 days had higher levels of SIgA-S1 than those with mild disease (252 vs.192.6 U/mL; p = 0.012) or duration ≤ 10 days (270.5 vs. 208.1 U/mL; p = 0.043), respectively. No significant differences were observed in age, sex, CGA, duration of symptoms, disease severity, overall 30-day-mortality, or reinfection between “induced” and “non-induced” residents.ConclusionsLevels of SIgA-S1 are associated with the duration and type of COVID-19 symptoms, along with the severity of infection. While these findings shed light on the knowledge of SIgA-S1, further interdisciplinary studies are warranted to better understand the immune response to SARS-CoV-2 infection.

Adaptation of French general practitioners for the management of nursing home patients during COVID-19 in 2020: a multilevel analysis.

To describe French general practioners' (GPs) adaptation strategies to ensure follow-up care of nursing home patients during the first wave of COVID-19 (May 2020) and to identify factors associated with each strategy. A national cross-sectional study was conducted with online questionnaires in May 2020 among GPs practicing in France (metropolitan and overseas) and usually providing nursing home visits before pandemic. The outcome was defined as the GPs' adaptation strategies for managing nursing home patients and was categorized into four groups: Maintenance of Nursing Home Visits NHV (reference), Stopping NHV, Numeric adaptation (teleconsultations only), Mixed adaptation (NHV and teleconsultations). The probability of adaptation strategies was analyzed by multilevel logistic models in which the GPs represented level 1 and the counties level 2. We applied three random-intercept multilevel logistic models with the county of GP's practice as random effect. This analysis included 2,146 responses by GPs coming from 98 French counties. Overall, 40.4% of GPs maintained NHV, while other strategies were: Stopping visits (24.1%), Numeric adaptation (15.4%), Mixed adaptation (20.1%). Several individual (age, training GP, perceived status of being at high risk of severe COVID, compliance with temporary delegation of the patient's management) and territorial factors (excess mortality rate due to COVID-19, GPs' density, proportion of over-75s, presence of reinforcement measures for nursing home patients) were identified as associated with each strategy. This study highlights a rapid adaptation of general practice to keep supporting nursing home patients. Heterogeneity of adaptation strategies could reflect both the lack of national guidelines and the heterogeneity among GPs' usual practices. Policymakers should take actions at a territorial level (subnational) to strengthen support to nursing home patients considering adaptations to the local context of the pandemic outbreak and perspective of local actors.

Investigation of SARS-CoV-2 IgG Binding Capability to Variants of the SARS-CoV-2 Virus.

The SARS-CoV-2 pandemic has confirmed that the ability to rapidly mutate may be extremely beneficial for a virus. Not long after the first wave, new variants emerged with altered infectivity, disease severity, and mortality. These new strains most notably had numerous mutations of the spike (S) protein, a surface protein responsible for binding to and entering the host cell. The Delta and Omicron strains demonstrated increased immune evasion and improved binding affinity to the host cell receptor, angiotensin-converting enzyme 2 (ACE2). This study examines the ability of wild-type SARS-CoV-2 IgG to bind Delta and Omicron antigens, as well as their functional binding capabilities to two different S-ACE2 complexes. Twenty SARS-CoV-2 positive samples from patients who had recovered from infection with ancestral SARS-CoV-2 in the first wave of COVID-19 and 10 pre-pandemic control samples were studied. SARS-CoV-2 exposed patients showed significantly higher levels of IgG to SARS-CoV-2 S1/RBD (p < 0.001), N protein (p < 0.001), and Omicron spike variant (p = 0.01), but not to Delta spike variant (p = 0.966) when compared with controls. Furthermore, patient samples showed significantly greater inhibition of SARS-CoV-2 S1/RBD and E484K spike to ACE2 binding (p < 0.001 and p = 0.015, respectively). Conversely, there was no correlation between the binding inhibition of S1/RBD and E484K spike to ACE2 receptor. This study shows there is considerable cross-reactivity of IgG generated by wild-type SARS-CoV-2 infection to the Delta and Omicron variants.

A retrospective propensity-score-matched cohort study of the impact of procalcitonin testing on antibiotic use in hospitalized patients during the first wave of COVID-19.

Procalcitonin (PCT) is a blood marker used to help diagnose bacterial infections and guide antibiotic treatment. PCT testing was widely used/adopted during the COVID-19 pandemic in the UK. Primary: to measure the difference in length of early (during first 7 days) antibiotic prescribing between patients with COVID-19 who did/did not have baseline PCT testing during the first wave of the pandemic. Secondary: to measure differences in length of hospital/ICU stay, mortality, total days of antibiotic prescribing and resistant bacterial infections between these groups. Multi-centre, retrospective, observational, cohort study using patient-level clinical data from acute hospital Trusts/Health Boards in England/Wales. Inclusion: patients ≥16 years, admitted to participating Trusts/Health Boards and with a confirmed positive COVID-19 test between 1 February 2020 and 30 June 2020. Data from 5960 patients were analysed: 1548 (26.0%) had a baseline PCT test and 4412 (74.0%) did not. Using propensity-score matching, baseline PCT testing was associated with an average reduction in early antibiotic prescribing of 0.43 days [95% confidence interval (CI): 0.22-0.64 days, P < 0.001) and of 0.72 days (95% CI: 0.06-1.38 days, P = 0.03] in total antibiotic prescribing. Baseline PCT testing was not associated with increased mortality or hospital/ICU length of stay or with the rate of antimicrobial-resistant secondary bacterial infections. Baseline PCT testing appears to have been an effective antimicrobial stewardship tool early in the pandemic: it reduced antibiotic prescribing without evidence of harm. Our study highlights the need for embedded, rapid evaluations of infection diagnostics in the National Health Service so that even in challenging circumstances, introduction into clinical practice is supported by evidence for clinical utility. ISRCTN66682918.

Improving Hospital Palliative Care Between COVID-19 Waves: A Retrospective Cohort Study

ContextA specialist palliative care service in an acute hospital characterized care patterns during the first wave of the COVID-19 pandemic. There were delayed referrals for minoritized ethnic groups. COVID-19 treatments (dexamethasone, anticoagulation, remdesivir) alongside service changes were introduced in the second wave. ObjectiveTo examine changes in care patterns and trends in the context of COVID-19 treatments. A secondary objective is to examine differences in ethnic disparity between the first and second wave of COVID-19. MethodsRetrospective cohort study comparing patients referred to an acute hospital palliative care service with confirmed COVID-19 infection either at the peak of the first (Mar-Apr 2020, W1), or second (Dec 2020-Feb 2021, W2) wave of the pandemic. Demographic, clinical characteristics, and outcomes data were compared using statistical tests; generalized linear mixed models for modelling of elapsed time from admission to referral; and survival analysis. ResultsData from 165 patients (W1 = 60, W2 = 105) were included. Patients in W1 were referred earlier to palliative care than in W2, particularly in the first 10 days from admission. Receiving dexamethasone or anticoagulants, and absence of dementia, hypertension, and fever were associated with longer time to referral to palliative care. Delays in referrals of Black and Asian patients during W1 was no longer observable in W2. There was no association between socioeconomic status and care patterns and trends. The Australian-modified Karnofsky Performance Status (HR < 0.92, 95% CI: 0.88–0.95) and phase of illness (HR > 3, 95% CI: 2–5) were good predictors of survival. ConclusionOur findings have the potential to inform strategies that improve palliative care response and equity beyond COVID-19, and in future pandemics or crises.

Neopterin production in relation to COVID-19 in the Haut-Ogooué Province, Gabon

BackgroundIn sub-Saharan Africa, understanding of the immune process associated with the COVID-19 pandemic remains scarce. This study aimed to investigate the relationship between plasma neopterin concentrations and COVID-19 infection, focusing on changes over time and age-related changes in immune response.MethodsA retrospective case study was conducted during the first wave of COVID-19 from March to August 2020. Whole blood and associated symptoms and comorbidities were collected from patients of all ages and sexes. Concentrations of plasma neopterin were measured using a commercial competitive neopterin ELISA (Neopterin ELISA, IBL International GmbH, Germany).ResultsWe analyzed data for 325 patients: 38% (n = 124) with COVID-19, and 62% (n = 201) without COVID-19, as a control group. We found that plasma neopterin concentrations were significantly higher in the COVID-19 group (mean value 45.1 nmol/L (SD 19)) than in the control group (mean value 33.8 nmol/L (SD 13)) (p = 0.004). In addition, neopterin levels decreased gradually over time in patients with COVID-19 (p < 0.001). Moreover, ROC analysis found that the best cut-off value for diagnosing COVID-19 patients based on plasma neopterin levels was 38.85 nmol/L with 70% sensitivity and 82% specificity (AUC, 0.74 [0.69–0.82], p < 0.05). We also found an increase in neopterin production with increasing age (p < 0.001).ConclusionOur findings contribute to our growing understanding of neopterin levels as a promising biomarker for the detection of COVID-19 cases in sub-Saharan Africa.

Time-varying relatedness and structural changes among green growth, clean energy innovation, and carbon market amid exogenous shocks: A quantile VAR approach

Green growth has become a critical driver in sustainability science. However, attaining a steady state of green growth can be challenging in the face of exogenous economic shocks. As such, this study assesses the time-varying relatedness among the USA's green economy (OMXGE), carbon markets (CCAI), green energy (ECO), natural resource markets (SPNGR), and sustainability index (DJS) considering multiple economic traumatism (i.e., the Brexit, COVID-19, Russia-Ukraine conflict). By deploying the quantile VAR (QVAR) and “Wavelet Local Multiple Correlations (WLMC)” approaches, we find: 1) Without the quantile effect, we note strong total interconnectedness among the designated series, which is close to 93 %. 2) From the QVAR findings, we note a high shock-receiving tendency in ECO and CCAI during the Brexit referendum, the first wave of COVID-19, and the Ukraine-Russia conflict, making these markets attractive for further investment during turbulent times. 3) DJS and OMXGE are temporary shock receivers and predominant shock transmitters, indicating that the green economy and sustainability indicators are not robust enough to absorb shocks during economic shocks. 4) Wavelet coherence findings further validate that the green economy is not a safe haven asset, whereas the carbon market has a strong shock absorption capacity and can provide strong hedging support. The underlying findings reveal that Washington's policy toward a renewable-based equity market should be more liberal to ramp up investment in renewables.

School-Home Crisis Communication During the First Wave of COVID-19

ABSTRACT In early 2020, UNESCO acknowledged that the scale of educational disruption associated with COVID-19 was unparalleled. Schools were forced to react swiftly. However, while remote learning has received considerable attention, less is understood of how educational leaders communicated during the COVID crisis. The study of school leaders’ initial crisis communications in response to government-mandated school closures is thus warranted. Accordingly, this study analyses a cross-section of seventeen Australian schools for the period late February through early April 2020 (i.e. term 1), with a focus on the emergency stage of schools’ crisis response, rather than the later remote learning continuity planning phase. A mixed-method research approach was adopted. Phase one involved quantitative content analysis of e-mail frequency, words per-sentence, readability (as measured by Flesch), and grade-level communication pitched at (as measured by Flesch-Kinkaid). Surprisingly, parents required university education to effectively comprehend the e-mails. Phase two confirmed that schools performed well in the first four of Smith & Riley’s (2012) five-step school crisis response model (getting the facts, implementing contingency plans, being decisive, showing concern), but were less effective at facilitating two-way communication. An additional (sixth) insight emerged in the form of school community.

Socio-economic conditions affect health-related quality of life, during recovery from acute SARS-CoV-2 infection

BackgroundRecovery from acute COVID-19 may be slow and incomplete: cases of Post-Acute Sequelae of COVID (PASC) are counted in millions, worldwide. We aimed to explore if and how the pre-existing Socio-economic-status (SES) influences such recovery.MethodsWe analyzed a database of 1536 consecutive patients from the first wave of COVID-19 in Italy (February-September 2020), previously admitted to our referral hospital, and followed-up in a dedicated multidisciplinary intervention. We excluded those seen earlier than 12 weeks (the conventional limit for a possible PASC syndrome), and those reporting a serious complication from the acute phase (possibly accounting for symptoms persistence). We studied whether the exposition to disadvantaged SES (estimated through the Italian Institute of Statistics’s model – ISTAT 2017) was affecting recovery outcomes, that is: symptoms (composite endpoint, i.e. at least one among: dyspnea, fatigue, myalgia, chest pain or palpitations); Health-Related-Quality-of-Life (HRQoL, as by SF-36 scale); post-traumatic-stress-disorder (as by IES-R scale); and lung structural damage (as by impaired CO diffusion, DLCO).ResultsEight-hundred and twenty-five patients were included in the analysis (median age 59 years; IQR: 50–69 years, 60.2% men), of which 499 (60.5%) were previously admitted to hospital and 27 (3.3%) to Intensive-Care Unit (ICU). Those still complaining of symptoms at follow-up were 337 (40.9%; 95%CI 37.5–42.2%), and 256 had a possible Post-Traumatic Stress Disorder (PTSD) (31%, 95%CI 28.7–35.1%). DLCO was reduced in 147 (19.6%, 95%CI 17.0–22.7%). In a multivariable model, disadvantaged SES was associated with a lower HRQoL, especially for items exploring physical health (Limitations in physical activities: OR = 0.65; 95%CI = 0.47 to 0.89; p = 0.008; AUC = 0.74) and Bodily pain (OR = 0.57; 95%CI = 0.40 to 0.82; p = 0.002; AUC = 0.74). We did not observe any association between SES and the other outcomes.ConclusionsRecovery after COVID-19 appears to be independently affected by a pre-existent socio-economic disadvantage, and clinical assessment should incorporate SES and HRQoL measurements, along with symptoms. The socioeconomic determinants of SARS-CoV-2 disease are not exclusive of the acute infection: this finding deserves further research and specific interventions.

Emotional state and self-perception of quality of life of patients with Parkinson’s disease in the first wave of COVID-19 in Cali, Colombia

Introduction: Since March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. This crisis had big challenges for the patients with Parkinson’s disease (PD), due to the effects related to changes in daily routines, the practice of leisure activities, relationships and mental health leading to secondary deterioration. Our aim was to characterize the emotional state and quality of life in a cohort of patients with Parkinson’s disease as well as to explore the perception of the quality of life during the COVID-19 pandemic. Materials and methods: This investigation was conducted as an exploratory mixed study. Descriptive analysis for sociodemographic and clinical variables and, a discourse analysis was carried out based on categories related to the perception of quality of life of patients with PD. Categories analyzed were: Covid-19 pandemic, caregivers, adaptation strategies, management of the disease, and leisure activities. Results: There were twelve patients total in this study. 75% were men with a median age of 75 (SD 2.9). 50% presented mild levels of anxiety and 41% presented mild and severe depression. The QoL was affected for: mobility 37.5 (IRC 10.6-45), body discomfort 25 (IQR 10.4-45.8) and, cognition 21.9 (IQR 14-34.3). 89% lived with their wife and 67% of women lived with one of their children. Discussion: The interview about perception of QoL during Covid-19 pandemic allowed to understand that individual experiences are crucial to improve the management and empowerment the patients, caregivers and families. Conclusion: Quality of life is a factor made up of dynamic dimensions and it is influenced for subjective perspective and changes in environment as a Covid-19 pandemic.

Developing community resilience in the face of COVID-19: case study from the Estrie region, Canada.

The COVID-19 pandemic undeniably impacted population health and several aspects of community organization, including service delivery and social cohesion. Intersectoral collaboration and equity, two key dimensions of community resilience, proved central to an effective and equitable response to the pandemic. Yet the factors that enabled or constrained communities' capacity to enact intersectoral collaboration and equity-focused action in such times of urgency and uncertainty remain poorly understood. This descriptive qualitative study aimed to (1) describe the processes through which intersectoral collaboration and equity-focused action were deployed during the first wave of COVID-19 and (2) identify factors enabling and constraining these processes. We conducted semi-directed interviews with 35 representatives of the governmental, institutional, and public and third sectors from four municipal regional counties of the Estrie region (Québec, Canada). We coded detailed interview notes following a codebook thematic analysis approach. We identified three processes through which intersectoral collaboration and equity-focused action were deployed: (1) networking; (2) adaptation, creation and innovation; and (3) human-centred action. Examples of levers which supported the deployment of these processes included capitalizing on pre-existing networks, adapting practices and services, and investing in solidarity and mutual aid. The influencing factors we describe represent concrete targets for resilience-building action. Although focused on the COVID-19 pandemic, our findings are relevant to other types of health, social, environmental or economic crises, and may guide health promotion and community development practitioners towards more effective community resilience-building responses.

Laboratory blood markers in COVID-19 and their connection to Viral variant

Morality rates in COVID-19 are dependent on timely diagnosis. Therefore, studying the relationship between laboratory markers and the severity of disease is important. The first wave of COVID-19 associated with the spread of the original strain of SARS-CoV-2, showed higher mortality rates caused by cytokine storm. As the viral variant changed, a change in the disease course towards a less pronounced inflammatory reaction was observed. These changes affected major players of inflammation, cytokines. However, cytokines are not the only markers in the inflammatory response. The purpose of this work was to determine the significance of laboratory markers in inflammation: WBC, C-reactive protein, ferritin, fibrinogen, and D-dimer. The study included 227 patients with acute COVID-19 in the first 5–7 days from the onset of the disease from January 2021 to March 2022. When compared with reference, all groups were characterized by reduced absolute values of lymphocytes. Correlation analysis between the absolute value of lymphocytes and plasma cytokine concentrations also revealed statistically significant strong relationships with the level of the chemokine CCL22/MDC. Given that CCL22/MDC is an important component of lymphopoiesis, its low concentrations may indicate dysregulation of this process in COVID-19. In addition, we noted a positive correlation between the level of C-reactive protein and IL-6 in peripheral blood. IL-6 is a proinflammatory cytokine, and its elevated levels have been associated with the development of severe COVID-19. One of its functions is the induction of C-reactive protein, and this trend persists regardless of which variant causes COVID-19. We also noted positive correlations between the concentrations of fibrinogen and IL-18, ferritin and IL-6, IL-18. Both of these proteins are involved in inflammation along with cytokines. The literature provides data on the significance of these markers for determining the severity of COVID-19. There is evidence of a synergistic effect of ferritin and IL-18 against viral pathogens. Of interest was the negative correlation between plasma D-dimer levels and IFNα. At the same time, data on the role of the latter in thrombus formation processes are increasingly appearing in the literature.

Why nanny statism matters: evidence from the first wave of COVID-19

BackgroundA nanny state imposes restrictions on people’s liberty and freedom of action in order to advance their interest and welfare. The extent to which this is desirable, or even ethically acceptable, is debated in the literature. This paper formulates and tests the following hypothesis: the more of a nanny a state has been in the past, the more likely it is that the incumbent government will respond to a new, unknown threat with interventions of a paternalist nature, irrespective of other factors that might contribute to shaping government’s response. This hypothesis is then taken to the data using the first wave of COVID-19 as an empirical test.MethodsData are collected from secondary sources for a sample of 99 countries. Nanny statism is measured by the number of paternalist laws and regulations adopted by a country in the past. The response to COVID is proxied by the time of adoption of control and containment measures and their stringency. The public health outcome is measured by the COVID-19 death toll at the end of June 2020. These variables, plus several controls, are then used to estimate a set of linear and probit regressions and a proportional hazard model of the timing of adoption of control and containment measures.ResultsAn increase in nanny statism by 0.1 (on a scale from 0 to 10) on average increases the probability of adoption of control and containment measures by 0.077 (i.e. 7.7 percentage points). The central tenement of the hypothesis is therefore consistent with the empirical evidence. The linear and probit regressions also show that there is no evidence of a significant effect of nanny statism on the stringency of the measures adopted. Irrespective of stringency, however, early adoption of control and containment measures is found to reduce the death toll of COVID-19 in the first half of 2020: an increase in nanny statism by 0.1 reduces the COVID death toll by approximately 7%.ConclusionsA tradition of nanny statism potentially leads to a more timely and effective public policy response to a new, unknown crisis. Further tests of the hypothesis should look at the relationship between nanny statism and public health outcomes from natural disasters.

Application of information from external data to correct for collider bias in a Covid-19 hospitalised cohort

BackgroundThroughout the Covid-19 pandemic, researchers have made use of electronic health records to research this disease in a rapidly evolving environment of questions and discoveries. These studies are prone to collider bias as they restrict the population of Covid-19 patients to only those with severe disease. Inverse probability weighting is typically used to correct for this bias but requires information from the unrestricted population. Using electronic health records from a South London NHS trust, this work demonstrates a method to correct for collider bias using externally sourced data while examining the relationship between minority ethnicities and poor Covid-19 outcomes.MethodsThe probability of inclusion within the observed hospitalised cohort was modelled based on estimates from published national data. The model described the relationship between patient ethnicity, hospitalisation, and death due to Covid-19 – a relationship suggested to be susceptible to collider bias. The obtained probabilities (as applied to the observed patient cohort) were used as inverse probability weights in survival analysis examining ethnicity (and covariates) as a risk factor for death due to Covid-19.ResultsWithin the observed cohort, unweighted analysis of survival suggested a reduced risk of death in those of Black ethnicity – differing from the published literature. Applying inverse probability weights to this analysis amended this aberrant result to one more compatible with the literature. This effect was consistent when the analysis was applied to patients within only the first wave of Covid-19 and across two waves of Covid-19 and was robust against adjustments to the modelled relationship between hospitalisation, patient ethnicity, and death due to Covid-19 made as part of a sensitivity analysis.ConclusionsIn conclusion, this analysis demonstrates the feasibility of using external publications to correct for collider bias (or other forms of selection bias) induced by the restriction of a population to a hospitalised cohort using an example from the recent Covid-19 pandemic.

Complicating Objectification in the Medical Encounter: Embodied Experiences in the ICU during COVID-19.

Illness and injury are often accompanied by experiences of bodily objectification. Medical treatments intended to restore the structure or function of the body may amplify these experiences of objectification by recasting the patient's body as a biomedical object-something to be examined, measured, and manipulated. In this article, we contribute to the phenomenology of embodiment in illness and medicine by reexamining the results of a qualitative study of the experiences of nurses and patients isolated in an intensive care unit during the first wave of COVID-19. Drawing upon the phenomenological concept of embodiment-as developed in the work of Edmund Husserl, Maurice Merleau-Ponty, Jean-Paul Sartre, and Emmanuel Levinas-we reconsider how bodily objectification manifests in complex clinical encounters. We show that, in these settings, objectification is not simply the unilateral act of a clinician objectifying a patient. Rather, both clinicians and patients reported a variety of objectifying experiences influenced by their interactions, the immediate context of the intensive care milieu, and the broader atmosphere of a global pandemic. In light of these findings, we argue that bodily objectification in illness and medicine can often be more complicated than typically presented in the phenomenological literature.

Factors contributing to nurses' intent to leave during COVID-19.

To examine the association between demographic characteristics (i.e., gender, race, age, and years of experience), burnout, and nurses' intent to leave their jobs during the first wave of COVID-19 in New Jersey. COVID-19 has exacerbated burnout and intent to leave among acute care nurses. Nonetheless, little is known about demographic factors contributing to nurses' desire to leave their jobs. A cross-sectional survey of actively licensed registered nurses who provided direct patient care in an acute care hospital in New Jersey during COVID-19. Among 2760 nurses, those who reported burnout were 4.78 times more likely to report intent to leave their job within 1 year as compared to nurses who did not report burnout. Black RNs were 2.06 times more likely to report intent to leave as compared to White RNs. Older nurses (aged 40-49) were 36% less likely to report intent to leave as compared to younger nurses (aged 21-29). RNs with 30 years of experience or more were 58% less likely to report intent to leave as compared to RNs with less than 5 years of experience. In addition, Black RNs with 6-12 years of experience were 2.07 times more likely to report intent to leave as compared to White RNs with less than 5 years of experience. Nurses' intent to leave during the first wave of the pandemic was influenced by burnout, race, age, and years of experience. Based on the results of the current study, Black nurses were more likely to report intent to leave their job within 1 year as compared to White RNs. Nurses' intention to leave is one of the most important global issues facing the healthcare system. Findings of the current study demonstrate that burnout, race, age, and years of experience are significant predictors of nurses' intent to leave their jobs. Therefore, organizations should prioritize strategies to reduce burnout and create diverse and inclusive work environments.