@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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        rdfs:label  "Institut für Data Science, Engineering, and Analytics" ;
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        rdfs:label                "RDF description of Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic - https://fis.th-koeln.de/vivo/individual/publ_17078" , "Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic" ;
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                <https://fis.th-koeln.de/vivo/individual/cite_17078-0> , <https://fis.th-koeln.de/vivo/individual/cite_17078-2> , <https://fis.th-koeln.de/vivo/individual/cite_17078-1> ;
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        bibo:abstract             "We present a resource-planning tool for hospitals under special consideration  of the COVID-19 pandemic, called babsim.hospital. It provides many advantages  for crisis teams, e.g., comparison with their own local planning, simulation of  local events, simulation of several scenarios (worst / best case). There are  benefits for medical professionals, e.g, analysis of the pandemic at local,  regional, state and federal level, the consideration of special risk groups,  tools for validating the length of stays and transition probabilities. Finally,  there are potential advantages for administration, management, e.g., assessment  of the situation of individual hospitals taking local events into account,  consideration of relevant resources such as beds, ventilators, rooms,  protective clothing, and personnel planning, e.g., medical and nursing staff.  babsim.hospital combines simulation, optimization, statistics, and artificial  intelligence processes in a very efficient way. The core is a discrete,  event-based simulation model." ;
        bibo:doi                  "10.48550/arXiv.2012.07188" ;
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