So much is being said about the algorithms and mathematical models being used to project the impact of COVID-19 on public health, and there is little certainty as to how accurate these models are. Nilay Shah, PhD, chair of the division of health care policy and research, Mayo Clinic, explains the information and factors that go into the predictive models for the impact of COVID-19; examines the reliability of the Susceptible, Exposed, Infected, and Recovered (SEIR) model for policy decisions; breaks down some of the confounding effects of various input assumptions on the models; and more.
Dr Nabhan and Dr Shah have no relevant financial disclosures. More about Nilah Shah.
This podcast is produced by the Journal of Clinical Pathways.
Dr. Joe Mikhael, Chief Medical Officer of the International Myeloma Foundation (IMF) and Professor at TGen, takes us beyond his medical career to explore the personal experiences that have shaped his journey in oncology. Dr. Mikhael discusses the IMF’s targeted strategies for reducing health disparities among diverse ethnic and racial groups affected by myeloma, shedding
Tom Beer, Chief Medical Officer of the Multi-Cancer Early Detection (MCED) program at Exact Sciences, delves into the groundbreaking science behind MCED tests, which use advanced biomarkers for early detection of multiple cancer types. On this Healthcare Unfiltered episode, he explains who may be eligible for these tests, how to interpret results to avoid unnecessary
In this special episode, I give up the microphone to guest host Kelly Ryerson, who takes over the show asking questions about my new book “The Cancer Journey.”
