Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131295
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Type: Journal article
Title: Coronavirus disease model to inform transmission reducing measures and health system preparedness, Australia
Author: Moss, R.
Wood, J.
Brown, D.
Shearer, F.M.
Black, A.J.
Glass, K.
Cheng, A.C.
McCaw, J.M.
McVernon, J.
Citation: Emerging Infectious Diseases, 2020; 26(12):2844-2853
Publisher: Centers for Disease Control and Prevention
Issue Date: 2020
ISSN: 1080-6040
1080-6059
Statement of
Responsibility: 
Robert Moss, James Wood, Damien Brown, Freya M. Shearer, Andrew J. Black, Kathryn Glass
Abstract: The ability of health systems to cope with coronavirus disease (COVID-19) cases is of major concern. In preparation, we used clinical pathway models to estimate healthcare requirements for COVID-19 patients in the context of broader public health measures in Australia. An age- and risk-stratified transmission model of COVID-19 demonstrated that an unmitigated epidemic would dramatically exceed the capacity of the health system of Australia over a prolonged period. Case isolation and contact quarantine alone are insufficient to constrain healthcare needs within feasible levels of expansion of health sector capacity. Overlaid social restrictions must be applied over the course of the epidemic to ensure systems do not become overwhelmed and essential health sector functions, including care of COVID-19 patients, can be maintained. Attention to the full pathway of clinical care is needed, along with ongoing strengthening of capacity.
Keywords: Australia
COVID-19
ICU
ITU
NPIs
SARS
SARS-CoV-2
case-finding
contact tracing
coronavirus
coronavirus disease
health sector capacity
healthcare capacity
isolation
modelling
nonpharmaceutical interventions
quarantine
respiratory infections
severe acute respiratory syndrome coronavirus 2
social distancing
viruses
zoonoses
Rights: Copyright status unknown
DOI: 10.3201/EID2612.202530
Grant ID: http://purl.org/au-research/grants/nhmrc/1116530
http://purl.org/au-research/grants/nhmrc/1117140
http://purl.org/au-research/grants/nhmrc/1116530
Published version: http://dx.doi.org/10.3201/eid2612.202530
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