Machine learning engineers need tools and data to help fight the Covid-19 pandemic. Here are some that crossed our radar screen last week.
- CoViz: With new research being published daily, it can be difficult to keep track of everything known about Covid-19. The Allen Institute for AI offers CoViz, an interactive network that visualizes relationships among concepts present in the COVID-19 Open Research Dataset. You can use it to explore relationships between relevant proteins, genes, cells, diseases, and chemicals to make sure you’re up to date.
- Keystone Policy Intervention Dataset: In addition to medical interventions, policy interventions like social distancing have played a key role in battling Covid-19. To help researchers evaluate them, Keystone Strategy, in association with Stanford’s Susan Athey and Harvard’s Marco Iansiti, compiled a dataset that documents non-pharmaceutical interventions implemented by various local and national governments.
- ICU Beds: One challenge of the novel coronavirus is the strain it puts on health care systems. The shortage of personal protective equipment has been well documented, and recently Kaiser Health News documented the availability of ICU beds in the U.S. The data, which records the number of ICU beds per county along with population and demographics, is available for download. The corpus could be used to explore, for instance, the sensitivity of Covid-19 fatality rate to ICU resources, or the value of policy measures such as social distancing in resource-constrained counties.