This document provides caveats and comments about COVID-19 projections for various locations in the US and globally. It notes that the analysis reflects the author's understanding and Stanford may have different internal projections. Data sources and modeling approaches are also outlined. Questions about the analysis can be directed to the author.
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COVID-19 Analysis: April 2, 2020
1. Caveats and Comments
1. These are not confidential. You can freely share this output freely. The code is available at
https://github.com/StevenLShafer/COVID19/.
2. This is my analysis, not Stanford's analysis. My understanding is that Stanford's internal analysis, done to plan resource
allocation at Stanford, shows substantially longer doubling times. This is reassuring for those of us working at Stanford.
3. The data are from usafacts.org. Here is the file: https://usafactsstatic.blob.core.windows.net/public/data/covid-
19/covid_confirmed_usafacts.csv. The data are collected from state and county public health departments.
4. The model for the recent data is an asymptotic rise to peak: exp(intercept + peak * (1-exp(-k * delta time))).
5. The number printed on the graph is the projection for a week from today. Because that is only a week out, it is probably not far
off.
6. The "peak" in the caption is the estimated total peak at time = infinity from the model. I have very little confidence because it is a
projection well into the future, and very sensitive to small errors in that data.
7. The idiosyncratic locations chosen for the analysis reflect where Pamela and I have friends and family. I'm happy to add other
regions. Also, I'm happy to add people to the blind CC distribution list. Just let me know.
8. I added global data, taken from https://github.com/CSSEGISandData/COVID-19. This is the Johns Hopkins data repository.
Global graphs are at the end.
9. Send any questions to steven.shafer@stanford.edu.
1
4. Santa Clara and San Mateo
2,276
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
Date
Actual(points)/Predicted(line)
Phase
Pre log linear
Log linear
Current
Deaths
Steve's Santa Clara and San Mateo Projection as of 2020-04-03
Initial doubling: 3.4 days, Predicted peak: 7,111
0
50
100
Feb Mar Apr May Jun
Date
NewCases/Day
4
6. San Luis Obispo County
100
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
Date
Actual(points)/Predicted(line)
Phase
Pre log linear
Log linear
Current
Steve's San Luis Obispo County Projection as of 2020-04-03
Initial doubling: 2.2 days, Predicted peak: 105
0.0
2.5
5.0
7.5
10.0
Feb Mar Apr May Jun
Date
NewCases/Day
6