Posted April 06, 2020.
This article is a preprint and has not been certified by peer review [what does this mean?]. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.
Abstract
Data as of March 29, 2020 show that the flattening strategy
for COVID-19 in the U.S. is working so well that a clean removal of
social distancing (aka unlock) at any time in 2020 will produce a
renewed catastrophe, overloading the healthcare system. Leaving the
economy locked down for a long time is its own catastrophe. An SIR-type
model with clear parameters suitable for public information, and both
tracking and predictive capabilities which learns disease spread
characteristics rapidly as policy changes, suggests that a solution to
the problem is a partial unlock. Case load can be managed so as not to
exceed critical resources such as ventilators, yet allow enough people
to get sick that herd immunity develops and a full unlock can be
achieved in as little as five weeks from beginning of implementation.
The partial unlock could be for example 3 full working days per week.
Given that not all areas or individuals will respond, and travel and
public gatherings are still unlikely, the partial unlock might be 5 full
working days per week. The model can be regionalized easily, and by
expediting the resolution of the pandemic in the U.S. medical equipment
and volunteers, many of them with already acquired immunity, can be made
available to other countries.
Competing Interest Statement
The authors have declared no competing interest.
Funding Statement
No external funding used in this research.
Author Declarations
All relevant ethical guidelines have been followed; any
necessary IRB and/or ethics committee approvals have been obtained and
details of the IRB/oversight body are included in the manuscript.
Yes
All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.
Yes
I understand that all clinical trials and any other
prospective interventional studies must be registered with an
ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any
such study reported in the manuscript has been registered and the trial
registration ID is provided (note: if posting a prospective study
registered retrospectively, please provide a statement in the trial ID
field explaining why the study was not registered in advance).
Yes
I have followed all appropriate research reporting
guidelines and uploaded the relevant EQUATOR Network research reporting
checklist(s) and other pertinent material as supplementary files, if
applicable.
Yes
Download PDFhttps://www.medrxiv.org/content/10.1101/2020.03.30.20048082v1
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