I just returned from the Logan Science Journalism Fellowship program at Marine Biological Laboratory in Woods Hole, Mass., and I’m excited to share some of the things I learned while there. The program itself — which I highly encourage folks to apply to — is different from any other health or science journalism program I’m aware of because there’s pretty much no journalism involved at all. Instead, it’s basic science that journalism fellows do. Continue reading
Alzheimer’s disease is the sixth leading cause of death in the U.S. Despite decades of research, there’s still no cure, and few options to slow or minimize symptoms. The last Alzheimer’s drug was approved more than 15 years ago, but a new campaign, called Disrupting Dementia, hopes to drive new diagnostics and treatments while also supporting patients and families affected by this devastating condition.
Every journalist covering medical and other types of scientific research should read this thought-provoking open-access article recently published in PNAS: “Crisis or self-correction: Rethinking media narrative about the well-being of science.”
This piece by Kathleen Hall Jamieson of the Annenberg School for Communication at the University of Pennsylvania is one of the best articles I’ve read about how to think about the big picture in our coverage of medicine and science and the public perception of media narratives about science. It’s one of those rare, important writings whose entire purpose is to examine the nuance that’s missing – yet essential – in the majority of science and medicine coverage. Continue reading
It is often used to track incidence of a disease, such as keeping up with where measles cases are during an outbreak or where remaining polio cases are in the attempt to eradication the disease. It’s also used to track prevalence, such as the total number of women living with breast cancer, or adverse events, such as tracking hospital-acquired infections or possible side effects from vaccines or drugs that the FDA has already licensed. Continue reading
These massive datasets have many advantages, such as the ability to narrow down a specific population through inclusion or exclusion criteria, having adequate participation to achieve statistical power, being able to analyze and compare subgroups based on demographics or other differences and the ability to get diverse, representative populations. Continue reading