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Understanding the rate and clinical features associated with vaccine breakthrough infections (VBT) is of critical public health importance. Recent evidence on VBT in Barnstable County, Massachusetts, has prompted guidance on masking for vaccinated individuals in areas of high community-level transmission.1 Additional data is needed to better understand the prevalence and rate of VBT infections. Using detailed disease investigation data from Washoe County, Nevada we sought to assess the rate of symptomatic infection and serious illness among VBT cases compared to non-vaccinated individuals with COVID-19. From February 12 - July 29, 2021, the Washoe County Health District identified and traced 6,128 out of 6,399 reported cases across the sample period. 338 (5.5%) of all cases were identified as breakthrough infections, and 289 (86%) vaccinated individuals had symptomatic infections. Severe clinical outcomes were infrequent with 17 hospitalizations (5% of VBT) and no deaths. Cycle threshold values were not statistically different between vaccinated and unvaccinated individuals.

Since the arrival of the smartphone in 2008, consumers have embraced mobile technology faster than any previous technology.[1][1] Smartphones have become the most important device to access the Internet.[2][2] Consumers increasingly use these mobile devices to make purchases; mobile usage accounts

A growing volume of real-time data about consumers behaviour is becoming available through new technology which is attracting significant investment. Brian Andersen of LUMA Partners on the latest digital information services.

The purpose of this article is to address why older advertising measurement systems (based on outdated theories of how consumers process information) are specifically leading to some marketers getting faulty answers that may undermine marketing return on investment (ROI). The article draws heavily on the book What Sticks: Why Most Advertising Fails and How to Guarantee Yours Succeeds (Rex Briggs and Greg Stuart, published by Kaplan in 2006) to provide data and insight underscoring the importance of using observational measurement based on design of experiments rather than self-stated approaches or advertising recall (both of which are shown to produce misleading results). Thanks to advances in neuroscience, we have a better idea of how advertising is processed; and thanks to new research systems based on design of experiments, we have a practical way to measure advertising effectiveness and marketing ROI.

This presentation reviews the research on the impact of different forms of online advertising, presents the authors’ analysis of the findings, and suggests directions for future research. The main conclusions are: (1) advertising on the Internet can be very effective; (2) for most forms of advertising, the Web should not be regarded as a substitute for advertising on traditional media. Rather, indications are that Internet advertising works best if it is part of a coordinated campaign that includes traditional media.