The State of Washington Department of Health and Microsoft’s AI for Health team have partnered to create an interactive data dashboard.

**DASHBOARD:** Washington State DOH

The State of Washington Department of Health and Microsoft’s AI for Health team have partnered to create an interactive data dashboard.

**DASHBOARD:** Washington State DOH

The instantaneous reproduction number (R) is estimated using the daily incidence of new cases, while including effects of social distancing, population density, and combined temperature and humidity lagged over the prior 14 days.

This model projects the effect of a theoretical May 15 midway return of normal travel to non-essential businesses. Future cases are estimated from predicted values of R.

**SOURCE:** COVID-Lab

The instantaneous reproduction number (R) is estimated using the daily incidence of new cases, while including effects of social distancing, population density, and combined temperature and humidity lagged over the prior 14 days.

This model projects the effect of a theoretical May 15 midway return of normal travel to non-essential businesses. Future cases are estimated from predicted values of R.

**SOURCE:** COVID-Lab

The instantaneous reproduction number (R) is estimated using the daily incidence of new cases, while including effects of social distancing, population density, and combined temperature and humidity lagged over the prior 14 days.

This model projects the effect of a theoretical May 15 midway return of normal travel to non-essential businesses. Future cases are estimated from predicted values of R.

**SOURCE:** COVID-Lab

**SOURCE:** COVID-Lab

**SOURCE:** COVID-Lab

*R _{0}* is the basic reproduction number of an epidemic. It’s defined as the number of secondary infections produced by a single infection. If

We’ve all witnessed that humans are adaptable. Our behavior changes, whether mandated or self-prescribed, and that changes the *effective* *R* value at any point in time. As we socially distance and isolate, *R* plummets. Because the value changes so rapidly, Epidemiologists have argued that the only true way to combat COVID19 is to understand and manage by *R _{t}*.

I agree, and I’d go further: we not only need to know *R _{t}*, we need to know local

**SOURCE: **Kevin Systrom

**DEEP DIVE:** Github notebook

States have had a variety of lockdown strategies, but there’s very little understanding of which have worked and which need to go further. Some states like California have been locked down for weeks, while others like Iowa and Nebraska continue to balk at taking action as cases rise. Being able to compare local *R _{t}* between different areas and/or watch how

Tracking *R _{t}* also lets us know when we might loosen restrictions. Any suggestion that we loosen restrictions when

**SOURCE: **Kevin Systrom

**DEEP DIVE:** Github notebook

**SOURCE:** COVID-Lab