This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
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Measuring the effect of social distancing On Coronavirus
1. Measuring The Effect of Social
Distancing
Proposed Metric For Transmission Rate
James K. Orr
April 5, 2020
2. Model When Person Infectious
• Simple model of large population
• 40 % infectious 5 days before symptoms, infectious for a total of 20 days
• 40 % infectious 10 days before symptoms, infectious for a total of 25 days
• 20 % infectious 15 days before symptoms, infectious for a total of 30 days
• Model assume travel of infectious person into the region
• Obviously extremely flawed for the United States
• Combines the number of known cases by date to estimate the
number of infectious cases in the region
• Then computes a “transmission rate” as the ration of new cases
divided the estimated infectious people in the region
4. Discussion of Data In Tables
• Reported US Cases -- For each region, this is the number of Coronavirus Cases
being reported each day
• For United States, New York State, Washington State, Louisiana and Texas
• These seem to be a represented set of regions, plus seem to have influence on Texas cases
• Date -- Date of actual cases as of end of day
• Estimated Infectious Cases – This combines actual reported cases to 4/4/2020,
estimated projection of cases to 4/19/2020 combined with the model on Chart 3
for “Infection Persons For One Confirmed Cases”
• Transmission Factor For Single Day – New (delta from 14 days in future to 15 days
in future) Actual Cases divided by Estimated Infectious Cases at Today (hypothesis
that today’s infectious cases relate to observed actual cases 15 days in the future)
• Transmission Factor Over Prior Days – This attempts to produce a number that
shows how many total Actual Cases will result for a single infectious case.
• Expected value near 3 for closed region (no infectious cases travel into region)
10. Following Chart Is Infection Spread Factor
• This is a first attempt to model the “Infection Spread Factor”
• This tells how many new cases will exist in 15 days based on today’s number
of infectious individuals multiplied by number of days infectious
• Model ASSUME no new cases traveling in or out of the region
• This assumption is obviously invalid
• New Orleans spike after Madri Gras (In February 25th period)
• Ban Flights From China February 1
• Ban Flights From Europe March 11
• Texas seems to show spikes from infectious persons arriving from Louisiana, New York
and Europe
• Otherwise, would expect Infection Spread Factor to be in the 1.0 to 3.0 range
• Washington State seems to be the one area not having infectious persons entering
11. 0
5
10
15
20
25
30
2/19/2020 2/26/2020 3/4/2020 3/11/2020 3/18/2020 3/25/2020
AttempToShowHowManyNewCasesFromOneInfection
Estimate Of Number Of Cases From One Infection
Assume Closed Population, No Travel Into Region
USA Total
New York
Washington
Louisiana
Texas
12. Following Chart Attempt to Measure Effect Of
Social Distancing
• Similar to Chart 10 and 11, but focuses only on mass transfer from
infectious person to new cases
• This is a first attempt to model the “Social Distancing”
• This tells how many new cases will exist in 15 days based on today’s number
of infectious individuals
14. Minimize Effect Of Infectious Persons Entering
0%
5%
10%
15%
20%
25%
3/11/2020 3/18/2020 3/25/2020
AttemptToShowEffectOfSocialDistancing
Estimate Percent Of Cases From All Infection
Total USA
New York
Washington
Louisiana
Texas