Description: This tool created graphs of Google's mobility Data. This version of the tool contains state-level U.S. data through July 31, 2020

Description: In this webcast, presenters will outline the key content in ERM ASOPs 46, 47 and 55 and explore the impact each ASOP has on practitioners working in these fields. We will also describe the revision work currently under way in the ERM Committee of the Actuarial Standards Board.

Description: The COVID-19 pandemic has had an impact on all aspects of daily life and its impact extends to how disability incidence may play out in the future. Product profitability will be shaped by how morbidity patterns, interest rate levels and other key drivers will play out into the future. In this session, our panel will discuss COVID’s impact on IDI morbidity experience as observed over the past 18 months, offer comparisons and insights in light of other insurance lines of business, and share emerging information on the on-going effects of Long COVID. Highlights will also include how regional differences and implications for insurers as the industry moves further into the COVID vaccine era.

Description: Employers, health plans, stop-loss insurers and reinsurers are all affected by the high cost of treating cancer. In recent years, cutting-edge pharmaceuticals, bone marrow transplants and CAR-T cell therapies have driven very high cost trends for cancer, with more emerging therapies on the horizon. In this session, we will review these new treatments, showcase models that aid in understanding the range of likely financial effects of the current, expanded, and likely-to-be approved indications for cell therapies that will treat certain patients affected by lymphoma, leukemia, and multiple myeloma. This session will explain important considerations for modeling Medicare, Medicaid versus commercial populations, key risk concerns caused by the size of enrollee pools, and important differences between the various therapies that affect modeling. We will also discuss averted cost, health outcomes, pricing levels, and risks caused by provider billing practices.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.