Literature DB >> 33690701

Citizenship, Migration and Mobility in a Pandemic (CMMP): A global dataset of COVID-19 restrictions on human movement.

Lorenzo Piccoli1,2, Jelena Dzankic1, Didier Ruedin2,3.   

Abstract

This research note introduces a new global dataset, the Citizenship, Migration and Mobility in a Pandemic (CMMP). The dataset features systematic information on border closures and domestic lockdowns in response to the COVID-19 outbreak in 211 countries and territories worldwide from 1 March to 1 June 2020. It documents the evolution of the types and scope of international travel bans and exceptions to them, as well as internal measures including limitations of non-essential movement and curfews in 27 countries. CMMP can be used to study causes and effects of policy restrictions to migration and mobility during the COVID-19 pandemic. The dataset is available through Cadmus and will be regularly updated until the last pandemic-related restriction has been lifted or become long-term.

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Mesh:

Year:  2021        PMID: 33690701      PMCID: PMC7943018          DOI: 10.1371/journal.pone.0248066

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  2 in total

1.  COVID-19 Government Response Event Dataset (CoronaNet v.1.0).

Authors:  Cindy Cheng; Joan Barceló; Allison Spencer Hartnett; Robert Kubinec; Luca Messerschmidt
Journal:  Nat Hum Behav       Date:  2020-06-23

2.  Response2covid19, a dataset of governments' responses to COVID-19 all around the world.

Authors:  Simon Porcher
Journal:  Sci Data       Date:  2020-11-25       Impact factor: 6.444

  2 in total
  3 in total

Review 1.  Data science approaches to confronting the COVID-19 pandemic: a narrative review.

Authors:  Qingpeng Zhang; Jianxi Gao; Joseph T Wu; Zhidong Cao; Daniel Dajun Zeng
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-22       Impact factor: 4.226

2.  COVID-19-Related Health Literacy of Socioeconomically Vulnerable Migrant Groups.

Authors:  Didier Ruedin; Johanna Probst; Philippe Wanner; Denise Efionayi-Mäder; Patrick Bodenmann
Journal:  Int J Public Health       Date:  2022-06-15       Impact factor: 5.100

3.  Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science.

Authors:  Cindy Cheng; Amélie Desvars-Larrive; Bernhard Ebbinghaus; Thomas Hale; Alexandra Howes; Lukas Lehner; Luca Messerschmidt; Angeliki Nika; Steve Penson; Anna Petherick; Hanmeng Xu; Alexander John Zapf; Yuxi Zhang; Sophia Alison Zweig
Journal:  Sci Data       Date:  2022-08-26       Impact factor: 8.501

  3 in total

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