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  • COVID-19 preventable mortality

    Issue Brief

    This updated analysis estimates that nationally at least 234,000 deaths from COVID-19 between June 2021 and March 2022 could have been prevented with a primary series of vaccinations. These vaccine-preventable deaths represent 60% of all adult COVID-19 deaths since June 2021, when vaccines first became widely available.

  • What Are Recent Trends in Cancer Spending and Outcomes?

    Feature

    This slideshow compares death rates, years of life lost and disease burden from cancers in the United States to those from other diseases and in other countries. The slideshow also looks at spending on cancers in relation to spending on other diseases and to overall health expenditures.

  • Visualizing Health Policy: A Snapshot of Cancer Spending and Outcomes

    Other Post

    This Visualizing Health Policy infographic provides details on cancer spending and outcomes in the United States. The U.S. cancer mortality rate, 203 deaths per 100,000 population, was slightly lower than in comparable countries in 2010. Among cancers, lung cancer is the largest contributor to disease burden for both men and women. The United States spent $124 billion to treat cancer in 2012, which accounted for about 7% of the nation’s disease-based health expenditures. However, growth…

  • Visualizing Health Policy: A Snapshot of Cancer Spending and Outcomes

    News Release

    This Visualizing Health Policy infographic provides details on cancer spending and outcomes in the United States. The U.S. cancer mortality rate, 203 deaths per 100,000 population, was slightly lower than in comparable countries in 2010. Among cancers, lung cancer is the largest contributor to disease burden for both men and women. The United States spent $124 billion to treat cancer in 2012, which accounted for about 7% of the nation’s disease-based health expenditures. However, growth…

  • COVID-19 Models: Can They Tell Us What We Want to Know?

    Policy Watch

    This blog gives a primer on epidemiological models for Covid-19 (coronavirus). It describes the uses and the types of models used, then lists a number of examples of different types of models and some key findings. The post also describes the limitations and assumptions related to these models, and how to use the information they provide more effectively.