Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "12702"
  #_source: array:26 [
    "id" => "12702"
    "slug" => "evaluating-the-reliability-of-mobility-metrics-from-aggregated-mobile-phone-data-as-proxies-for-sars-cov-2-transmission-in-the-usa-a-population-based-study"
    "yearMonth" => "2022-01"
    "year" => "2022"
    "title" => "Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study"
    "description" => "KISHORE, N., TAYLOR, A.R., JACOB, P., VEMBAR, N., COHEN, T., BUCKEE, C.O. et MENZIES, N.A. (2022). Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study. <i>The Lancet Digital Health</i>, 4(1), pp. e27-e36."
    "authors" => array:7 [
      0 => array:3 [
        "name" => "JACOB Pierre"
        "bid" => "B00795650"
        "slug" => "jacob-pierre"
      ]
      1 => array:1 [
        "name" => "KISHORE Nishant"
      ]
      2 => array:1 [
        "name" => "TAYLOR Aimee R"
      ]
      3 => array:1 [
        "name" => "VEMBAR Navin"
      ]
      4 => array:1 [
        "name" => "COHEN Ted"
      ]
      5 => array:1 [
        "name" => "BUCKEE Caroline O"
      ]
      6 => array:1 [
        "name" => "MENZIES Nicolas A"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2023-08-30 11:42:22"
    "publicationUrl" => "https://www.sciencedirect.com/science/article/pii/S2589750021002144?via%3Dihub#!"
    "publicationInfo" => array:3 [
      "pages" => "e27-e36"
      "volume" => "4"
      "number" => "1"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue professionnelle"
      "en" => "Professional journal"
    ]
    "countries" => array:2 [
      "fr" => "Royaume-Uni"
      "en" => "United Kingdom"
    ]
    "abstract" => array:2 [
      "fr" => "In early 2020, the response to the SARS-CoV-2 pandemic focused on non-pharmaceutical interventions, some of which aimed to reduce transmission by changing mixing patterns between people. Aggregated location data from mobile phones are an important source of real-time information about human mobility on a population level, but the degree to which these mobility metrics capture the relevant contact patterns of individuals at risk of transmitting SARS-CoV-2 is not clear. In this study we describe changes in the relationship between mobile phone data and SARS-CoV-2 transmission in the USA."
      "en" => "In early 2020, the response to the SARS-CoV-2 pandemic focused on non-pharmaceutical interventions, some of which aimed to reduce transmission by changing mixing patterns between people. Aggregated location data from mobile phones are an important source of real-time information about human mobility on a population level, but the degree to which these mobility metrics capture the relevant contact patterns of individuals at risk of transmitting SARS-CoV-2 is not clear. In this study we describe changes in the relationship between mobile phone data and SARS-CoV-2 transmission in the USA."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-12-22T10:21:44.000Z"
    "docTitle" => "Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/jacob-pierre">JACOB Pierre</a>, KISHORE Nishant, TAYLOR Aimee R, VEMBAR Navin, COHEN Ted, BUCKEE Caroline O, MENZIES Nicolas A"
    "docDescription" => "<span class="document-property-authors">JACOB Pierre, KISHORE Nishant, TAYLOR Aimee R, VEMBAR Navin, COHEN Ted, BUCKEE Caroline O, MENZIES Nicolas A</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2022</span>"
    "keywordList" => ""
    "docPreview" => "<b>Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study</b><br><span>2022-01 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://www.sciencedirect.com/science/article/pii/S2589750021002144?via%3Dihub#!" target="_blank">Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.619389
  +"parent": null
}