ABSTRACT
INTRODUCTION: Identifying optimal COVID-19 vaccine dose is essential for maximizing their impact. However, COVID-19 vaccine dose-finding has been an empirical process, limited by short development timeframes, and therefore potentially not thoroughly investigated. Mathematical IS/ID modelling is a novel method for predicting optimal vaccine dose which could inform future COVID-19 vaccine dose decision making. METHODS: Published clinical data on COVID-19 vaccine dose-response was identified and extracted. Mathematical models were calibrated to the dose-response data stratified by subpopulation, where possible to predict optimal dose. Predicted optimal doses were summarised across vaccine type and compared to chosen dose for the primary series of COVID-19 vaccines to identify vaccine doses that may benefit from re-evaluation. RESULTS: 30 clinical dose-response datasets in adults and elderly population were extracted for four vaccine types and optimal doses predicted using the models. Results suggest that, if re-assessed for dose, COVID-19 vaccines Ad26.cov, ChadOx1 n-Cov19, BNT162b2, Coronavac, and NVX-CoV2373 could benefit from increased dose in adults and mRNA-1273 and Coronavac, could benefit from increased and decreased dose for the elderly population, respectively. DISCUSSION: Future iterations of COVID-19 vaccines could benefit from re-evaluating dose to ensure most effective use of the vaccine and mathematical modelling can support this.
Subject(s)
COVID-19 , Vaccines , Adult , Aged , Humans , COVID-19 Vaccines , COVID-19/prevention & control , BNT162 Vaccine , Immunization , Models, TheoreticalABSTRACT
Burnout, while historically considered a work-related condition, can be associated with parenting where it can have direct impacts upon parental outcomes and one’s personal resources such as mental health. However, little is known about the domain-incongruent effects of burnout and thus whether parental burnout can manifest within the workplace. The current study uses longitudinal data collected from 499 parents over three intervals across an 8-month period to explore two possible mechanisms. Firstly, a direct relationship is explored by considering whether parental burnout provides incremental validity above job burnout in the prediction of three work outcomes: job satisfaction, turnover intentions, and counterproductive work behaviors. Secondly, it is explored whether depression mediates the relationship between parental burnout and work outcomes. Findings suggest parental burnout may have limited impacts upon work outcomes, providing the impetus for a new direction of research to better understand whether or how burnout in one domain of life can influence the outcomes in other life domains. Supplementary Information The online version contains supplementary material available at 10.1007/s12144-021-02687-3.
ABSTRACT
PWE-46 Figure 1Overall Survival of all patients with HCC discussed in the MDT in 2019 (Pre COVID) vs 2020 (During COVID)[Figure omitted. See PDF]
ABSTRACT
Developing a vaccine against the global pandemic SARS-CoV-2 is a critical area of active research. Modelling can be used to identify optimal vaccine dosing; maximising vaccine efficacy and safety and minimising cost. We calibrated statistical models to published dose-dependent seroconversion and adverse event data of a recombinant adenovirus type-5 (Ad5) SARS-CoV-2 vaccine given at doses 5.0 × 1010, 1.0 × 1011 and 1.5 × 1011 viral particles. We estimated the optimal dose for three objectives, finding: (A) the minimum dose that may induce herd immunity, (B) the dose that maximises immunogenicity and safety and (C) the dose that maximises immunogenicity and safety whilst minimising cost. Results suggest optimal dose [95% confidence interval] in viral particles per person was (A) 1.3 × 1011 [0.8-7.9 × 1011], (B) 1.5 × 1011 [0.3-5.0 × 1011] and (C) 1.1 × 1011 [0.2-1.5 × 1011]. Optimal dose exceeded 5.0 × 1010 viral particles only if the cost of delivery exceeded £0.65 or cost per 1011 viral particles was less than £6.23. Optimal dose may differ depending on the objectives of developers and policy-makers, but further research is required to improve the accuracy of optimal-dose estimates.