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COVID Border Accountability Project, a hand-coded global database of border closures introduced during 2020.
Shiraef, Mary A; Hirst, Cora; Weiss, Mark A; Naseer, Sarah; Lazar, Nikolas; Beling, Elizabeth; Straight, Erin; Feddern, Lukas; Taylor, Noah Rusk; Jackson, Cayleigh; Yu, William; Bhaskaran, Aadya; Mattar, Layth; Amme, Matthew; Shum, Maggie; Mitsdarffer, Mary Louise; Sweere, Johanna; Brantley, Susanna E; Schenoni, Luis L; Lewis-Beck, Colin.
  • Shiraef MA; Department of Political Science, University of Notre Dame, Notre Dame, Indiana, USA.
  • Hirst C; Departments of Biology and Anthropology, Emory University, Atlanta, Georgia, USA.
  • Weiss MA; Departments of Political Science and Mathematics, Emory University, Atlanta, Georgia, USA.
  • Naseer S; Department of Quantitative Theory and Methods, Emory University, Atlanta, Georgia, USA.
  • Lazar N; Department of Economics, Brown University, Providence, Rhode Island, USA. nikolas_lazar@brown.edu.
  • Beling E; Department of Sociology, Emory University, Atlanta, Georgia, USA.
  • Straight E; Center for Latin American, Caribbean, and Latinx Studies, Vanderbilt University, Nashville, Tennessee, USA.
  • Feddern L; University Medical Center Hamburg-Eppendorf, Department of Health Economics and Health Services Research, Hamburg, Germany.
  • Taylor NR; Department of Philosophy, Emory University, Atlanta, Georgia, USA.
  • Jackson C; Departments of Political Science and Mathematics, Emory University, Atlanta, Georgia, USA.
  • Yu W; Nell Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.
  • Bhaskaran A; Department of Economics, Emory University, Atlanta, Georgia, USA.
  • Mattar L; Departments of Biology and Middle Eastern and South Asian Studies, Emory University, Atlanta, Georgia, USA.
  • Amme M; COVID Border Accountability Project (COBAP), Austin, Texas, USA.
  • Shum M; University of Notre Dame, Keough School of Global Affairs, Notre Dame, Indiana, USA.
  • Mitsdarffer ML; Rutgers University, Department of Childhood Studies, Camden, New Jersey, USA.
  • Sweere J; Charles River Associates, Boston, Massachusetts, USA.
  • Brantley SE; Department of Cell Biology, Duke University, Durham, North Carolina, USA.
  • Schenoni LL; Universität Konstanz, Department of Politics and Public Administration, Baden, Württemberg, Germany.
  • Lewis-Beck C; Department of Statistics & Actuarial Science, University of Iowa, Iowa City, Iowa, USA.
Sci Data ; 8(1): 253, 2021 09 29.
Article in English | MEDLINE | ID: covidwho-1442796
ABSTRACT
Quantifying the timing and content of policy changes affecting international travel and immigration is key to ongoing research on the spread of SARS-CoV-2 and the socioeconomic impacts of border closures. The COVID Border Accountability Project (COBAP) provides a hand-coded dataset of >1000 policies systematized to reflect a complete timeline of country-level restrictions on movement across international borders during 2020. Trained research assistants used pre-set definitions to source, categorize and verify for each new border policy start and end dates, whether the closure is "complete" or "partial", which exceptions are made, which countries are banned, and which air/land/sea borders were closed. COBAP verified the database through internal and external audits from public health experts. For purposes of further verification and future data mining efforts of pandemic research, the full text of each policy was archived. The structure of the COBAP dataset is designed for use by social and biomedical scientists. For broad accessibility to policymakers and the public, our website depicts the data in an interactive, user-friendly, time-based map.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Travel / Communicable Disease Control / Pandemics / COVID-19 Type of study: Observational study / Reviews Limits: Humans Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01031-5

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Travel / Communicable Disease Control / Pandemics / COVID-19 Type of study: Observational study / Reviews Limits: Humans Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01031-5