PropertyValue
?:abstract
  • We use a simple SIR-like epidemic model integrating known age-contact patterns for the United States to model the effect of age-targeted mitigation strategies for a COVID-19-like epidemic. We find that, among strategies which end with population immunity, strict age-targeted mitigation strategies have the potential to greatly reduce mortalities and ICU utilization for natural parameter choices.
?:arxiv_id
  • 2004.04144
?:creator
?:doi
  • 10.1371/journal.pone.0236237
?:doi
?:journal
  • PLoS_One
?:license
  • cc-by
?:pdf_json_files
  • document_parses/pdf_json/7e5e592c43ca9b6e864e652374bb7ea68cb1dad1.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7380601.xml.json
?:pmcid
?:pmid
?:pmid
  • 32706809.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • ArXiv; Medline; PMC
?:title
  • Modeling strict age-targeted mitigation strategies for COVID-19
?:type
?:year
  • 2020-07-24

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