Projecting demand for critical care beds during COVID-19 outbreaks in Canada
Increasing numbers of coronavirus disease 2019 (COVID-19) cases in Canada may create substantial demand for hospital admission and critical care. We evaluated the extent to which self-isolation of mildly ill people delays the peak of outbreaks and reduces the need for this care in each Canadian prov...
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Veröffentlicht in: | Canadian Medical Association journal (CMAJ) 2020-05, Vol.192 (19), p.E489-E496 |
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creator | Shoukat, Affan Wells, Chad R Langley, Joanne M Singer, Burton H Galvani, Alison P Moghadas, Seyed M |
description | Increasing numbers of coronavirus disease 2019 (COVID-19) cases in Canada may create substantial demand for hospital admission and critical care. We evaluated the extent to which self-isolation of mildly ill people delays the peak of outbreaks and reduces the need for this care in each Canadian province.
We developed a computational model and simulated scenarios for COVID-19 outbreaks within each province. Using estimates of COVID-19 characteristics, we projected the hospital and intensive care unit (ICU) bed requirements without self-isolation, assuming an average number of 2.5 secondary cases, and compared scenarios in which different proportions of mildly ill people practised self-isolation 24 hours after symptom onset.
Without self-isolation, the peak of outbreaks would occur in the first half of June, and an average of 569 ICU bed days per 10 000 population would be needed. When 20% of cases practised self-isolation, the peak was delayed by 2-4 weeks, and ICU bed requirement was reduced by 23.5% compared with no self-isolation. Increasing self-isolation to 40% reduced ICU use by 53.6% and delayed the peak of infection by an additional 2-4 weeks. Assuming current ICU bed occupancy rates above 80% and self-isolation of 40%, demand would still exceed available (unoccupied) ICU bed capacity.
At the peak of COVID-19 outbreaks, the need for ICU beds will exceed the total number of ICU beds even with self-isolation at 40%. Our results show the coming challenge for the health care system in Canada and the potential role of self-isolation in reducing demand for hospital-based and ICU care. |
doi_str_mv | 10.1503/cmaj.200457 |
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We developed a computational model and simulated scenarios for COVID-19 outbreaks within each province. Using estimates of COVID-19 characteristics, we projected the hospital and intensive care unit (ICU) bed requirements without self-isolation, assuming an average number of 2.5 secondary cases, and compared scenarios in which different proportions of mildly ill people practised self-isolation 24 hours after symptom onset.
Without self-isolation, the peak of outbreaks would occur in the first half of June, and an average of 569 ICU bed days per 10 000 population would be needed. When 20% of cases practised self-isolation, the peak was delayed by 2-4 weeks, and ICU bed requirement was reduced by 23.5% compared with no self-isolation. Increasing self-isolation to 40% reduced ICU use by 53.6% and delayed the peak of infection by an additional 2-4 weeks. Assuming current ICU bed occupancy rates above 80% and self-isolation of 40%, demand would still exceed available (unoccupied) ICU bed capacity.
At the peak of COVID-19 outbreaks, the need for ICU beds will exceed the total number of ICU beds even with self-isolation at 40%. Our results show the coming challenge for the health care system in Canada and the potential role of self-isolation in reducing demand for hospital-based and ICU care.</description><identifier>ISSN: 0820-3946</identifier><identifier>EISSN: 1488-2329</identifier><identifier>DOI: 10.1503/cmaj.200457</identifier><identifier>PMID: 32269020</identifier><language>eng</language><publisher>Canada: Joule Inc</publisher><subject>Bed Occupancy - statistics & numerical data ; Binomial distribution ; Canada - epidemiology ; Comparative analysis ; Coronavirus Infections - epidemiology ; Coronavirus Infections - therapy ; Coronaviruses ; COVID-19 ; Critical care ; Critical Care - statistics & numerical data ; Disease Outbreaks ; Disease transmission ; Epidemics ; Health aspects ; Health Services Needs and Demand - statistics & numerical data ; Hospital Bed Capacity - statistics & numerical data ; Hospital patients ; Humans ; Infections ; Intensive care ; Models, Statistical ; Pandemics ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - therapy ; Public health ; Severe acute respiratory syndrome coronavirus 2 ; Simulation</subject><ispartof>Canadian Medical Association journal (CMAJ), 2020-05, Vol.192 (19), p.E489-E496</ispartof><rights>2020 Joule Inc. or its licensors.</rights><rights>COPYRIGHT 2020 Joule Inc.</rights><rights>Copyright Joule Inc May 11, 2020</rights><rights>2020 Joule Inc. or its licensors 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c706t-c3f69db2dafc9da5c0e210f8d7ac73c7ae24f4449af31956d4159c98fb82b5c53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234264/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234264/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32269020$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shoukat, Affan</creatorcontrib><creatorcontrib>Wells, Chad R</creatorcontrib><creatorcontrib>Langley, Joanne M</creatorcontrib><creatorcontrib>Singer, Burton H</creatorcontrib><creatorcontrib>Galvani, Alison P</creatorcontrib><creatorcontrib>Moghadas, Seyed M</creatorcontrib><title>Projecting demand for critical care beds during COVID-19 outbreaks in Canada</title><title>Canadian Medical Association journal (CMAJ)</title><addtitle>CMAJ</addtitle><description>Increasing numbers of coronavirus disease 2019 (COVID-19) cases in Canada may create substantial demand for hospital admission and critical care. We evaluated the extent to which self-isolation of mildly ill people delays the peak of outbreaks and reduces the need for this care in each Canadian province.
We developed a computational model and simulated scenarios for COVID-19 outbreaks within each province. Using estimates of COVID-19 characteristics, we projected the hospital and intensive care unit (ICU) bed requirements without self-isolation, assuming an average number of 2.5 secondary cases, and compared scenarios in which different proportions of mildly ill people practised self-isolation 24 hours after symptom onset.
Without self-isolation, the peak of outbreaks would occur in the first half of June, and an average of 569 ICU bed days per 10 000 population would be needed. When 20% of cases practised self-isolation, the peak was delayed by 2-4 weeks, and ICU bed requirement was reduced by 23.5% compared with no self-isolation. Increasing self-isolation to 40% reduced ICU use by 53.6% and delayed the peak of infection by an additional 2-4 weeks. Assuming current ICU bed occupancy rates above 80% and self-isolation of 40%, demand would still exceed available (unoccupied) ICU bed capacity.
At the peak of COVID-19 outbreaks, the need for ICU beds will exceed the total number of ICU beds even with self-isolation at 40%. Our results show the coming challenge for the health care system in Canada and the potential role of self-isolation in reducing demand for hospital-based and ICU care.</description><subject>Bed Occupancy - statistics & numerical data</subject><subject>Binomial distribution</subject><subject>Canada - epidemiology</subject><subject>Comparative analysis</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - therapy</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Critical care</subject><subject>Critical Care - statistics & numerical data</subject><subject>Disease Outbreaks</subject><subject>Disease transmission</subject><subject>Epidemics</subject><subject>Health aspects</subject><subject>Health Services Needs and Demand - statistics & numerical data</subject><subject>Hospital Bed Capacity - statistics & numerical data</subject><subject>Hospital patients</subject><subject>Humans</subject><subject>Infections</subject><subject>Intensive care</subject><subject>Models, Statistical</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Canadian Medical Association journal (CMAJ)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shoukat, Affan</au><au>Wells, Chad R</au><au>Langley, Joanne M</au><au>Singer, Burton H</au><au>Galvani, Alison P</au><au>Moghadas, Seyed M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Projecting demand for critical care beds during COVID-19 outbreaks in Canada</atitle><jtitle>Canadian Medical Association journal (CMAJ)</jtitle><addtitle>CMAJ</addtitle><date>2020-05-11</date><risdate>2020</risdate><volume>192</volume><issue>19</issue><spage>E489</spage><epage>E496</epage><pages>E489-E496</pages><issn>0820-3946</issn><eissn>1488-2329</eissn><abstract>Increasing numbers of coronavirus disease 2019 (COVID-19) cases in Canada may create substantial demand for hospital admission and critical care. We evaluated the extent to which self-isolation of mildly ill people delays the peak of outbreaks and reduces the need for this care in each Canadian province.
We developed a computational model and simulated scenarios for COVID-19 outbreaks within each province. Using estimates of COVID-19 characteristics, we projected the hospital and intensive care unit (ICU) bed requirements without self-isolation, assuming an average number of 2.5 secondary cases, and compared scenarios in which different proportions of mildly ill people practised self-isolation 24 hours after symptom onset.
Without self-isolation, the peak of outbreaks would occur in the first half of June, and an average of 569 ICU bed days per 10 000 population would be needed. When 20% of cases practised self-isolation, the peak was delayed by 2-4 weeks, and ICU bed requirement was reduced by 23.5% compared with no self-isolation. Increasing self-isolation to 40% reduced ICU use by 53.6% and delayed the peak of infection by an additional 2-4 weeks. Assuming current ICU bed occupancy rates above 80% and self-isolation of 40%, demand would still exceed available (unoccupied) ICU bed capacity.
At the peak of COVID-19 outbreaks, the need for ICU beds will exceed the total number of ICU beds even with self-isolation at 40%. Our results show the coming challenge for the health care system in Canada and the potential role of self-isolation in reducing demand for hospital-based and ICU care.</abstract><cop>Canada</cop><pub>Joule Inc</pub><pmid>32269020</pmid><doi>10.1503/cmaj.200457</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bed Occupancy - statistics & numerical data Binomial distribution Canada - epidemiology Comparative analysis Coronavirus Infections - epidemiology Coronavirus Infections - therapy Coronaviruses COVID-19 Critical care Critical Care - statistics & numerical data Disease Outbreaks Disease transmission Epidemics Health aspects Health Services Needs and Demand - statistics & numerical data Hospital Bed Capacity - statistics & numerical data Hospital patients Humans Infections Intensive care Models, Statistical Pandemics Pneumonia, Viral - epidemiology Pneumonia, Viral - therapy Public health Severe acute respiratory syndrome coronavirus 2 Simulation |
title | Projecting demand for critical care beds during COVID-19 outbreaks in Canada |
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