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• W2983707243 abstract "Significance We shock a full-scale simulation model of a national health care system by locally removing health care providers. We measure resilience of the system in terms of how fast and to what extent it can recover its ability to deliver adequate health services to the population. The model is based on actual regional primary care networks in Austria, where all patients and physicians are represented as anonymized avatars that are calibrated with nationwide data. After removal of a critical fraction of physicians, networks generically undergo a transition from resilient to nonresilient behavior, where it is impossible to maintain coverage for all patients. These “stress tests” allow us to quantify regional health care resilience and identify systemically risky health care providers." @default.
• W2983707243 created "2019-11-22" @default.
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• W2983707243 date "2019-11-11" @default.
• W2983707243 modified "2023-10-18" @default.
• W2983707243 title "Quantification of the resilience of primary care networks by stress testing the health care system" @default.
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• W2983707243 doi "https://doi.org/10.1073/pnas.1904826116" @default.
• W2983707243 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6883827" @default.
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• W2983707243 hasPublicationYear "2019" @default.
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