In August, in partnership with the Harvard Global Health Institute, Google launched a set of models — the COVID-19 Public Forecasts — that provide projections of COVID-19 cases, deaths, ICU utilization, ventilator availability, and other metrics for U.S. counties and states. Today, the two organizations released what they claim are significantly improved models — trained on public data from Johns Hopkins University, Descartes Labs, the United States Census Bureau, and elsewhere — that expand beyond the U.S.
The COVID-19 Public Forecasts are intended to serve as a resource for first responders in health care, the public sector, and other affected organizations, Google says. The forecasts allow for targeted testing and public health interventions on a county-by-county basis, in theory enhancing users’ ability to respond to the rapidly evolving pandemic. For example, health care providers could incorporate the forecasted number of cases as a datapoint in resource planning for PPE, staffing, and scheduling. Meanwhile, state and county health departments could use the forecast of infections to inform testing strategies and identify areas at risk of an outbreak.
Confirmed Omicron cases, deaths, and admissions
France, Israel, Denmark, and Ireland have the highest cases per capita of Omicron in the world. This shows what happens with massive surges of virus spread, even ones with 60-70% less severity.
Source: Dr. Eric Topol, Scripps Institute