{"id":1061,"date":"2021-02-02T18:39:24","date_gmt":"2021-02-02T18:39:24","guid":{"rendered":"http:\/\/re-design.dimiter.eu\/?p=1061"},"modified":"2021-02-02T18:39:29","modified_gmt":"2021-02-02T18:39:29","slug":"covid-19-and-mobility-around-the-world","status":"publish","type":"post","link":"http:\/\/re-design.dimiter.eu\/?p=1061","title":{"rendered":"COVID-19 and mobility around the world"},"content":{"rendered":"\n

2020 has been a crazy year with unprecedented changes in what we do, where we go, and how much time we spend at home. The Google Community Mobility Reports<\/a> data provides a great resource for tracking changes in mobility since the beginning of 2020 in various countries, provinces and cities around the world. But the data is not easy to use in order to compare changes in mobility between different places. That’s why I built two interactive web applications that allow the user to select the countries and time periods of interest, and get directly a plot comparing the trends. Moreover, I coupled the mobility data with data from the Oxford COVID-19 Government Response Tracker<\/a> to show the impact of policy changes on mobility. <\/p>\n\n\n\n

The first app <\/a>compares countries around the world. <\/p>\n\n\n\n

The second one <\/a>compares Dutch provinces.<\/p>\n\n\n\n

I update the apps when new mobility data becomes available. Comments and feature requests are welcome.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

2020 has been a crazy year with unprecedented changes in what we do, where we go, and how much time we spend at home. The Google Community Mobility Reports data provides a great resource for tracking changes in mobility since the beginning of 2020 in various countries, provinces and cities around the world. But the data is not easy to use in order to compare changes in mobility between different places. That’s why I built two interactive web applications that allow the user to select the countries and time periods of interest, and get directly a plot comparing the trends. Moreover, I coupled the mobility data with data from the Oxford COVID-19 Government Response Tracker to show the impact of policy changes on mobility. The first app compares countries around the world. The second one compares Dutch provinces. I update the apps when new mobility data becomes available. Comments and feature requests are welcome.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false},"categories":[1],"tags":[759,761,769,768,753],"jetpack_featured_media_url":"","jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7g3hj-h7","jetpack-related-posts":[{"id":810,"url":"http:\/\/re-design.dimiter.eu\/?p=810","url_meta":{"origin":1061,"position":0},"title":"Visualizing asylum statistics","date":"May 30, 2014","format":false,"excerpt":"Note: of potential interest to R users for the dynamic Google chart generated via googleVis in R and discussed towards the end of the post. Here you can go directly to the graph. An emergency refugee center, opened in September 2013 in an abandoned school in Sofia, Bulgaria. Photo by\u00a0Alessandro\u2026","rel":"","context":"In "Data visualization"","img":{"alt_text":"","src":"https:\/\/i2.wp.com\/re-design.dimiter.eu\/wp-content\/uploads\/2014\/05\/dynamic-asylum-1.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":1053,"url":"http:\/\/re-design.dimiter.eu\/?p=1053","url_meta":{"origin":1061,"position":1},"title":"Modeling mortality","date":"January 20, 2021","format":false,"excerpt":"To grasp the true impact of COVID-19 on our societies, we need to know the effect of the pandemic on mortality. In other words, we need to know how many deaths can be attributed to the virus, directly and indirectly. 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The Google N-gram chart below shows the rise of the\u2026","rel":"","context":"In "Classification"","img":{"alt_text":"","src":"https:\/\/i2.wp.com\/re-design.dimiter.eu\/wp-content\/uploads\/2018\/11\/f2_hdi_eq.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":260,"url":"http:\/\/re-design.dimiter.eu\/?p=260","url_meta":{"origin":1061,"position":4},"title":"When 'just looking' beats regression","date":"January 30, 2012","format":false,"excerpt":"In a draft paper\u00a0currently under review I argue that the institutionalization of\u00a0a common EU\u00a0asylum policy has not led to a race to the bottom with respect to asylum applications, refugee status grants, and some other indicators. 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