The global response to COVID-19 has demonstrated the importance of vigilance and preparedness for infectious diseases, particularly influenza. There is a need for more effective influenza vaccines and modern manufacturing technologies that are adaptable and scalable to meet demand during a pandemic. The rapid development of COVID-19 vaccines has demonstrated what is possible with extensive data sharing, researchers who have the necessary resources and novel technologies to conduct and apply their research, rolling review by regulators, and public-private partnerships. As demonstrated throughout the response to COVID-19, the process of research and development of novel vaccines can be significantly optimized when stakeholders are provided with the resources and technologies needed to support their response.
Vaccine Research and Development to Advance Pandemic and Seasonal Influenza Preparedness and Response focuses on how to leverage the knowledge gained from the COVID-19 pandemic to optimize vaccine research and development (R&D) to support the prevention and control of seasonal and pandemic influenza. The committee's findings address four dimensions of vaccine R&D: (1) basic and translational science, (2) clinical science, (3) manufacturing science, and (4) regulatory science.
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Paperback. Zustand: Very Good. Zustand des Schutzumschlags: No Dust Jacket. Slight wear. Crisp trade paperback.; Supporting Software-GIS Error Model on CD-ROM, present in rear pocket. "This report presents guidance for practitioners on the use of positional, or spatial, data in Geographic Information Systems (GIS) for transportation applications. As GIS applications become more common in transportation system management and decision making, concerns have grown about the accuracy of the data used to populate them. Transportation spatial data usually describes the location of features on the highway system using a one-dimensional linear referencing system. The level of accuracy varies by data source and is affected by the precision of the measurement system used to collect it. Agencies need a way to understand the errors that may result when using these data in GIS applications and how these errors may be compounded when combining data from various sources. This project reviewed the linear referencing systems used by state departments of transportation, examined the limitations of typical data sources used in these systems, and developed a model to evaluate the effects of varying data accuracy and provide an assessment of the level of confidence in the system outputs. This report will provide valuable information to transportation practitioners who need to understand and account for the level of precision in GIS-based transportation decision tools. CRP-CD-41, which accompanies this report, contains an error model that is implemented as a software program called GISError." ; Consensus Study Report; Vol. 506; 153 pages. Artikel-Nr. 6195
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