We propose a probabilistic model to quantify the cost-benefit of mass Vaccination Scenarios (VSs) against COVID-19. Through this approach, we conduct a six-month simulation, from August 31st, 2021 to March 3rd, 2022, of nine VSs, i.e., the three primary vaccine brands in Brazil (CoronaVac, AstraZeneca and Pfizer), each with three different vaccination rates (2nd doses per week). Since each vaccine has different individual-level effectiveness, we measure the population-level benefit as the probability of reaching herd immunity (HI). We quantify and categorize the cost-benefit of VSs through risk graphs that show: (i) monetary cost vs. probability of reaching HI; and (ii) number of new deaths vs. probability of reaching HI. Results show that AstraZeneca has the best cost-benefit when prioritizing acquisition costs, while Pfizer is the most cost-beneficial when prioritizing the number of deaths. This work provides helpful information that can aid public health authorities in Brazil to better plan VSs. Furthermore, our approach is not restricted to Brazil, the COVID-19 pandemic, or the mentioned vaccine brands. Indeed, the method is flexible so that this study can be a valuable reference for future cost-benefit analyses in other countries and pandemics, especially in the early stages of vaccination, when data is scarce and uncertainty is high. 相似文献
A 44-year-old man with a late presentation of coronavirus disease 2019 (COVID-19) pneumonia developed a left ventricular apical thrombus resulting in an asymptomatic anterior myocardial infarction due to extensive thrombosis of the left anterior descending artery. There are increasing reports of thrombotic complications in patients infected with COVID-19. This case highlights the risk of thrombotic events caused by severe acute respiratory syndrome-related corona virus-2 and the associated challenges in management. The objective of this case report is to generate primary literature and raise awareness and appreciation for cardiac manifestations of COVID-19. 相似文献
IntroductionDemand on imaging services continues to increase on a background of complex issues and barriers to care. Collaborative cross organisational working through the development of imaging networks is recommended to address these issues including managing reporting workloads. Standardisation of reporting practices and collaborative cross region reporting radiographer training has been recommended to be supported by a regional reporting radiographer academy model to achieve these aims. This research explores the perceptions of trainees and their managers/mentor who undertook radiographer academy training model with a view to integrated imaging network formalisation in the region.MethodsAn online questionnaire was designed to capture qualitative and quantitative data with three phases; 1) trainees perception of the academy model, 2) trainees perception of the differences in training models and 3) the perceptions of the managers/mentors related to the academy model.ResultsThere were overwhelmingly positive opinions of the academy training model from both cohorts in this study, with the two main benefits emerging being the protected study time away from clinical departments and minimal disruption to clinical services due to reduced onus on the local mentors. Peer support was also highlighted as a positive aspect of the model which would facilitate future integrated imaging network working.ConclusionThe academy model has been well received by both cohorts in this study with positive outcomes highlighted and the model being seen as promoting and facilitating integrated imaging network working between departments. The small sample size of the study requires consideration when extrapolating the results to wider academy models, however some themes may be applicable.Implications for practiceInvestment in the reporting radiographer academy model is justified and provides a practical alternative to the traditional model. 相似文献