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ImperialCollegeLondon / covid19model:在美国维持COVID-19流行病复兴的年龄组(同行评审)

斯瓦普尼尔·米什拉(Swapnil Mishra); 法比安·瓦尔卡(Fabian Valka); 克里斯托弗·凯夫·艾兰; ; 芒斯·马格努森; 朱丽叶·温温; 旋律莫诺; 巴古德里; 塞思·弗拉克斯曼(Seth Flaxman); 亚历山大·帕耶特(Alexandre Payot); hrkulkarMsft


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{
  "description": "Version 11 Release\n<p>This is the release related to our <a href=\"//www.medrxiv.org/content/10.1101/2020.09.18.20197376v1\">upcoming peer-reviewed age paper</a>, where we use age-specific mobility data to estimate the epidemic in the USA by accounting for age-specific heterogeneity. All other code is still the same for previous releases.</p>\n<p>To run this code you need to follow the steps listed in the age-specific model <a href=\"//github.com/ImperialCollegeLondon/covid19model/tree/master/covid19AgeModel\">here</a>.</p>\n<p>The code should be run in full mode to obtain credible results. Not running a full run to estimate anything is not recommended and discouraged. Only a full run should be used to get results.</p>\n<p>The instructions for European, Italy, Brazil, USA, Nature, and IFR  code are the same as earlier (Look at version 3, version 4, version 5, version 6, version 7, and version 8). This release is specific to <a href=\"//www.medrxiv.org/content/10.1101/2020.09.18.20197376v1\">upcoming peer-reviewed age paper</a>.</p>\n<p>This release has been checked on macOS Catalina version 10.15.6/7 and Ubuntu version 18.04.2.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "伦敦帝国理工学院,@ MRC全球传染病分析中心", 
      "@type": "Person", 
      "name": "Swapnil Mishra"
    }, 
    {
      "@type": "Person", 
      "name": "Fabian Valka"
    }, 
    {
      "affiliation": "Imperial College", 
      "@type": "Person", 
      "name": "克里斯托弗·凯夫·艾兰"
    }, 
    {
      "affiliation": "伦敦帝国理工学院", 
      "@type": "Person", 
      "name": "Harrison Zhu"
    }, 
    {
      "affiliation": "Link\u00f6pings Universitet", 
      "@type": "Person", 
      "name": "M\u00e5ns Magnusson"
    }, 
    {
      "affiliation": "伦敦帝国理工学院", 
      "@type": "Person", 
      "name": "Juliette Unwin"
    }, 
    {
      "affiliation": "伦敦帝国理工学院", 
      "@type": "Person", 
      "name": "Melodie Monod"
    }, 
    {
      "@type": "Person", 
      "name": "bgoodri"
    }, 
    {
      "@type": "Person", 
      "name": "Seth Flaxman"
    }, 
    {
      "@type": "Person", 
      "name": "Alexandre Payot"
    }, 
    {
      "@type": "Person", 
      "name": "hrkulkarMsft"
    }
  ], 
  "url": "//americinnmankato.com/record/4461896", 
  "codeRepository": "//github.com/ImperialCollegeLondon/covid19model/tree/v11.0", 
  "datePublished": "2021-01-25", 
  "version": "v11.0", 
  "@context": "//schema.org/", 
  "identifier": "//doi.org/10.5281/zenodo.4461896", 
  "@id": "//doi.org/10.5281/zenodo.4461896", 
  "@type": "SoftwareSourceCode", 
  "name": "ImperialCollegeLondon / covid19model:在美国维持COVID-19流行病复兴的年龄组(同行评审)"
}
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