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COVID Hospital Surge
Resource
1
#686690
COVID-19 Healthcare Surge Model for Greater Toronto Area Hospitals.
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EIDM »
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
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Software »
Software
Software☜Learn more about the software being used across the EIDM network.☜C78CB7
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Software programs »
Software programs
Software programs☜☜C78CB7
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COVID Hospital Surge
COVID Hospital Surge☜COVID-19 Healthcare Surge Model for Greater Toronto Area Hospitals.☜C78CB7
►
R »
R
R☜☜FFFACD
►
Simulation »
Simulation
Simulation☜☜FFFACD
►
Compartmental »
Compartmental
Compartmental☜☜FFFACD
►
Deterministic »
Deterministic
Deterministic☜☜FFFACD
►
Hospitals »
Hospitals
Hospitals☜☜FFFACD
◄
Sharmistha Mishra »
Sharmistha Mishra
Sharmistha Mishra☜Sharmistha Mishra is an infectious disease physician and mathematical modeler and holds a Tier 2 Canadian Research Chair in Mathematical Modeling and Program Science.☜FFFACD
◄
Covid-19 »
Covid-19
Covid-19☜☜FFFACD
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+Αναφορές (
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[1]
Github - COVID Hospital Surge
Παρατέθηκε από:
David Price
9:28 PM 21 October 2021 GMT
URL:
https://github.com/mishra-lab/covid-GTA-surge-planning
Link
[2]
COVID-19 Healthcare Surge Model - Shiny App
Συγγραφέας:
Mishra Modeling Team
Παρατέθηκε από:
David Price
8:18 AM 15 September 2022 GMT
URL:
https://mishra-lab.shinyapps.io/covid-GTA-surge-planning/
Απόσπασμα-
• This tool provides estimates of hospital and ICU admissions due to COVID-19 for hospitals in the Greater Toronto Area.
• The tool implements a parameterized mechanistic transmission model and can simulate a range of plausible scenarios based on the provided input parameters.
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Προστέθηκε από:-
David Price
NodeID:
#686690
Node type:
Resource
Ημερ/νία δημιουργίας(GMT):
10/21/2021 9:26:00 PM
Ημερ/νία τελευτ. επεξεργασίας(GMT time):
9/15/2022 8:16:00 AM
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