This is an interactive, quantitative model that forecasts demand for COVID-19 related hospitalization based on county-level population characteristics, data from the literature on COVID-19, and data from online repositories. The model estimates a time series of demand for intensive care beds and acute care beds as well as the availability of those beds due to COVID-19 using the initial numbers, the doubling time, and the population-specific rates and then compares these to the numbers of relevant beds derived from data from the American Hospital Association. The tool is only designed to project hospitalizations when a small proportion of the overall population has been infected (<20%) and does not account for community immunity. The output of the model can be viewed in a graphic or in a table and is downloadable in a CSV format.
Schema.org vocabulary for structured data on the web
Dublin Core Metadata Initiative Terms - refined elements for precise resource description
Provenance, Authoring and Versioning ontology for metadata about web resources
W3C Provenance Ontology for describing provenance information
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Health Level 7 Fast Healthcare Interoperability Resources
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Logical Observation Identifiers Names and Codes
LOINC database for laboratory and clinical observations
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JSON Schema (Draft 2020-12) defining the structure of MIDAS Catalog JSON-LD metadata records
Minute infectious agents whose genomes are composed of DNA or RNA, but not both. They are characterized by a lack of independent metabolism and the inability to replicate outside living host cells.
A Coronavirus infection that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.
A disease is a disposition (i) to undergo pathological processes that (ii) exists in an organism because of one or more disorders in that organism.
a dataset that is about two or more hospital stays involving two or more patients.
A disease whose physical basis is an infectious disorder
Information about capacity, including hospital beds, PPE supplies, nursing home capacity, testing sites, therapeutics, etc.
The goal or purpose of a modeling study.
Severe acute respiratory syndrome coronavirus 2
A species of BETACORONAVIRUS causing atypical respiratory disease (COVID-19) in humans. The organism was first identified in 2019 in Wuhan, China. The natural host is the Chinese intermediate horseshoe bat, RHINOLOPHUS affinis.
Software is a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.
Vaccine preventable diseases are those infectious diseases that can be prevented by vaccination
A count of hospital stays in a population that is the number of hospital stays that occurred during a proper part of a reference temporal interval.
An organism of a particular biological taxon that is the site of reproduction of an organism of a different taxon.
Descriptors of the behavior of an outbreak
A computer application that requires with an active internet connection and that uses HTTP as its primary communications protocol.
A respiratory tract infection caused by a virus. Viruses represent the most common causes of upper and lower respiratory tract infections and include rhinoviruses, influenza viruses, parainfluenza viruses, and respiratory syncytial virus.
Projections of outbreak behavior into some future time, determined relative to a defined starting point. Might include retrospective projects or projections for current activitiy (known as "now-casting").
A count of simulated or physical individuals in a population.
An organism of a particular biological taxon that is the bearer of an infectious dispositions towards an organism of a different particular biological taxon.
Landing page where users can browse and download dataset files in various formats.
National Institute of General Medical Sciences
A model to forecast regional demand for COVID-19 related hospital beds
The paper presents the model created for predicting COVID-19 hospitalization rates and the demands for beds in hospitals.
Johannes Opsahl Ferstad, Angela Gu, Raymond Ye Lee, Isha Thapa, Alejandro Martinez, Andy Shin, Joshua Salomon, Peter Glynn, Nigam Shah, Arnold Milstein, Kevin Schulman, David Scheinker. Projecting Severe Cases of COVID-19. 2021. Available from: https://surfcovid19.shinyapps.io/pop_prod/
Comma-separated values: a delimited text file format for tabular data.
The 'about' property contains mixed types: DefinedTerm objects represent subject matter/topics, while Place objects represent geographical scope or applicability