Metrics for our questions about homeless
California Department of Public Health Recommended Initial Metrics:
- R0: 2-3 (unmitigated) or 0.9-1.5 (mitigated)
- Infection fatality ratio: 0.5-1.5%
- Hospitalization rate: 5-20%
- Doubling time before social distancing: 6-7 days
- Current hospitalized patients: county to determine
- Social distancing - % reduction: 30%-70%
- ICU percent: 1-5%
- Ventilated percent: 1-5%
- Hospital (non-ICU) length of stay: 7 days
- ICU length of stay (in addition to non-ICU length of stay): 9 days
- Length of time on a ventilator if intubated: 10 days
- Hospital market share: county to determine
- Regional population: county to determine
- Currently known regional infections: county to determine
Our metrics for the SBD model for homeless
Assumptions:
- 5760 estimate population
- >211 days: We have no intervention for SBD county homeless.
- Ro=Rt : 2.20
- 5% Case fatality rate for homeless increases by a factor of 5 because of their co-morbidities and stressful living situation. It could be up to 50% due to this publication:
- 23.6% Hospitalization rates: 9/38 (23.6%);ICU rates 5/38 (13.2%); deaths 1/38 (2.6%)
- 15 days: Average length of stay: No current data on SB, 10-20 day hospitalization average 17.
- 8 days: Duration patient is infectious, I brought this up to 8 from the 2.9 default value to reflect the homeless lifestyle.
Beds in Clinics in SBD
CHHS Open Data portal:
Model by PENN for homeless:
Supporting research for the above model: http://predictivehealthcare.pennmedicine.org/2020/03/18/compare-chime.html
Imperial College Model:
R Shiny model:
How to build a RECON model for COVID-19
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