Coronavirus Journalism: What They Put In, What They Leave Out

“If it bleeds it leads” is in full force for coronavirus reporting: what the media leaves in their stories, and what they leave out.

Selected Coronavirus Data Visualizations

I wanted a data visualization that gave me a 30,000 foot view of the pace and scale of this outbreak OUTSIDE China. Couldn’t find one, so I made it. Now I’ve got a collection of dataviz that I can’t find elsewhere.

CoronaGeddon 2020: Why Every Map You've Seen of the Outbreak is Wrong

I looked into coronavirus maps from Harvard, Hopkins, WHO, the NY Times and others — and found that every one of them is mapping the wrong information — in a way that makes the epidemic look worse than it is.

Joel SelanikioFebruary 17, 2020coronavirus, ncov2019, COVID-19, SARS-CoV-2, epidemiology, mapping, GIS, public health, global health, outbreak

Why is Coronavirus Data Visualization So Bad?

Maps are just about the worst way to visualize the progression of an outbreak. So why are they they only one we’re using?

Joel SelanikioFebruary 10, 2020ncov2019, coronavirus, dataviz, mapping, GIS, epidemiology, outbreak, journalism, data science

Consumerization Hits Health, Part II: Where Is Our Health Data?

99% of our health data is consumer based, not in any EHR, and that disproportion is getting more pronounced every year. What does this mean for health innovation?

Joel SelanikioJanuary 28, 2020consumerization, AI, data, airpods, wearables, digital health, innovation