Welcome

Welcome to the OU-Tulsa Lab of Image and Information Processing. We are located inside the Schusterman Center in Tulsa. Our lab focuses on applying machine learning and in particular deep learning to tackle a wide range of image and data processing problems including video surveillance, robotics, augmented reality, and medical diagnosis.


Covid-19 Update

Entire Country

I found the maps shown on the CDC website not quite intuitive since it just shows the number of cases. But more importantly, we should look at per capita how many are infected. The map below shows the number of confirmed cases over the population for each state. From the map, we can see that even California has many cases, it is doing quite well relatively.

infected rate

Since there are unobserved cases, the number of deaths often give better estimation of actual numbers out there. Below shows the # of deaths per 100 people over population in each state. Since the coronavirus has approximate fatality rate of 1%. The map below gives a rough estimation of actual numbers of cases.

COVID-19 deaths per 100 people per capita rate

But note that since there is lag for patients who got infected and eventually died. So the map above actually shows number of cases around 2 weeks ago (assuming median incubation rate of 5 days and 10 days to become critical and die).

Oklahoma

Now let’s take a look of the Oklahoma data. The plot below showed the respective rates as the national data. I obtained the data from the State Department of Health.

OK confirmed infected rate

It is interesting to see that Central OKC region seems to be doing better than the Northeastern Tulsa region. But an individual county (Greer) is in pretty dire situation. Again, the death rate probably gives a better idea of how many undetected cases out there. Even though there is likely to have lag.

OK confirmed infected rate

 

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