CHIME (COVID-19 Hospital Impact Model for Epidemics)
type: SoftwareApplication
description: The CHIME (COVID-19 Hospital Impact Model for Epidemics) App is designed to assist hospitals and public health officials understand hospital capacity needs as they relate to the COVID-19 pandemic. CHIME enables capacity planning by providing estimates of total daily (i.e. new) and running totals of (i.e. census) inpatient hospitalizations, ICU admissions, and patients requiring ventilation. These estimates are generated using a SIR (Susceptible, Infected, Recovered) model, a standard epidemiological modeling technique. The output of the model can be visualize on the App or download in a CSV format. The code source is available on GitHub: https://github.com/CodeForPhilly/chime.
conforms to: Schema.org
conforms to: DCMI Metadata Terms
conforms to: PAV Ontology
conforms to: PROV Ontology
conforms to: MIDAS Metadata Vocabulary
conforms to: HL7 FHIR
conforms to: SNOMED Clinical Terms
conforms to: Logical Observation Identifiers Names and Codes
conforms to: Open Biological and Biomedical Ontology
conforms to: MIDAS Catalog JSON-LD Schema
included in data catalog: MIDAS Catalog
  type: DataCatalog
  source: https://catalog.midasnetwork.us/
about: COVID-19
about: modeling method
about: software
about: modeling
about: vaccine-preventable Disease
about: disease
about: host organism
about: Population count
about: compartmental models
about: viral Infectious disease
about: population
about: health system capacity
about: Homo sapiens
about: Web Application
about: forecasting
about: pathogen
about: infectious disease
about: Viruses
about: hospital stay dataset
about: Severe acute respiratory syndrome coronavirus 2
about: modeling purpose
about: viral respiratory tract infection
subject: viral Infectious disease
subject: modeling
subject: host organism
subject: Population count
subject: software
subject: disease
subject: Viruses
subject: viral respiratory tract infection
subject: pathogen
subject: modeling method
subject: Homo sapiens
subject: vaccine-preventable Disease
subject: COVID-19
subject: hospital stay dataset
subject: Web Application
subject: infectious disease
subject: forecasting
subject: Severe acute respiratory syndrome coronavirus 2
subject: compartmental models
subject: health system capacity
subject: population
subject: modeling purpose
access URL: https://penn-chime.phl.io/

Schema.org
type: Standard
description: Schema.org vocabulary for structured data on the web
subject: sciences
subject: web
type: generic

DCMI Metadata Terms
type: Standard
description: Dublin Core Metadata Initiative Terms - refined elements for precise resource description
subject: metadata
subject: resource description
subject: interoperability
subject: digital libraries
type: metadata schema

PAV Ontology
type: Standard
description: Provenance, Authoring and Versioning ontology for metadata about web resources
subject: provenance
subject: versioning
subject: authoring
subject: metadata
type: metadata schema

PROV Ontology
type: Standard
description: W3C Provenance Ontology for describing provenance information
subject: sciences
subject: epidemiology
type: generic

MIDAS Metadata Vocabulary
type: Standard
description: Custom MIDAS vocabulary for epidemiological data and modeling
subject: epidemiology
subject: public health
subject: infectious diseases
type: domain-specific

HL7 FHIR
type: Standard
description: Health Level 7 Fast Healthcare Interoperability Resources
subject: healthcare
subject: medical informatics
type: domain-specific

SNOMED Clinical Terms
type: Standard
description: Systematized Nomenclature of Medicine Clinical Terms
subject: healthcare
subject: clinical terminology
type: domain-specific

Logical Observation Identifiers Names and Codes
type: Standard
description: LOINC database for laboratory and clinical observations
subject: healthcare
subject: laboratory
subject: clinical
type: domain-specific

Open Biological and Biomedical Ontology
type: Standard
description: OBO Foundry ontologies for life sciences and biomedical research
subject: life sciences
subject: biomedical
subject: epidemiology
type: domain-specific

MIDAS Catalog JSON-LD Schema
type: Standard
description: JSON Schema (Draft 2020-12) defining the structure of MIDAS Catalog JSON-LD metadata records
subject: epidemiology
subject: metadata
subject: data validation
type: metadata schema

COVID-19
type: DefinedTerm
description: A Coronavirus infection that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.
alternate name: COVID-19

modeling method
type: DefinedTerm
description: The method or type of model used to achieve the purpose.
alternate name: Modeling Method

software
type: DefinedTerm
description: Software is a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.
alternate name: Software

modeling
type: DefinedTerm
description: Descriptors of the behavior of an outbreak
alternate name: Modeling

vaccine-preventable Disease
type: DefinedTerm
description: Vaccine preventable diseases are those infectious diseases that can be prevented by vaccination
alternate name: Vaccine-Preventable Disease

disease
type: DefinedTerm
description: 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.
alternate name: Disease

host organism
type: DefinedTerm
description: An organism of a particular biological taxon that is the site of reproduction of an organism of a different taxon.
alternate name: Host

Population count
type: DefinedTerm
description: A count of simulated or physical individuals in a population.
alternate name: Population Count

compartmental models
type: DefinedTerm
description: Forecasts based on SIR (Susceptible, Infected, Recovered) models or any of the many variants of this basic famework.
alternate name: Compartmental Models

viral Infectious disease
type: DefinedTerm
description: Any disease caused by a virus.
alternate name: Viruses Infection

population
type: DefinedTerm
alternate name: Population

health system capacity
type: DefinedTerm
description: Information about capacity, including hospital beds, PPE supplies, nursing home capacity, testing sites, therapeutics, etc.
alternate name: Health System Capacity

Homo sapiens
type: DefinedTerm
description: Members of the species Homo sapiens.
alternate name: Homo sapiens

Web Application
type: DefinedTerm
description: A computer application that requires with an active internet connection and that uses HTTP as its primary communications protocol.
alternate name: Web Application

forecasting
type: DefinedTerm
description: 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").
alternate name: Forecasting

pathogen
type: DefinedTerm
description: An organism of a particular biological taxon that is the bearer of an infectious dispositions towards an organism of a different particular biological taxon.
alternate name: Pathogen

infectious disease
type: DefinedTerm
description: A disease whose physical basis is an infectious disorder
alternate name: Infectious Disease

Viruses
type: DefinedTerm
description: 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.
alternate name: Viruses

hospital stay dataset
type: DefinedTerm
description: a dataset that is about two or more hospital stays involving two or more patients.
alternate name: Hospitalization

Severe acute respiratory syndrome coronavirus 2
type: DefinedTerm
description: 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.
alternate name: SARS-CoV2

modeling purpose
type: DefinedTerm
description: The goal or purpose of a modeling study.
alternate name: Modeling Purpose

viral respiratory tract infection
type: DefinedTerm
description: 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.
alternate name: Viral Respiratory Tract Infection

English
type: Language

Predictive Healthcare
type: Person
type: Agent

datePublished
date: 2020-05-07

datePublished
date: 2021-06-04

Apache 2.0
type: CreativeWork

MIT License
type: CreativeWork

National Institute of General Medical Sciences
type: Organization

MIDAS COORDINATION CENTER
type: Organization
source: https://midasnetwork.us/
location: PostalAddress
  street address: 5607 Baum Blvd
  address locality: Pittsburgh
  address region: PA
  address country: United States of America
  postal code: 15206

CSV
type: DefinedTerm
description: Comma-separated values: a delimited text file format for tabular data.
in defined term set: https://www.iana.org/assignments/media-types/

Python
type: ComputerLanguage
description: Python is a high-level, interpreted programming language known for its readability and broad applicability in web development, data science, and automation.

about-property-structure
type: PropertyValue
description: The 'about' property contains mixed types: DefinedTerm objects represent subject matter/topics, while Place objects represent geographical scope or applicability