academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13

Preview meta tags from the academiccommons.columbia.edu website.

Linked Hostnames

9

Thumbnail

Search Engine Appearance

Google

https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13

Human Mobility Patterns Linked to COVID-19 Prone Locations

Since the onset of COVID-19 in late 2019, the virus has affected human mobility and the economy in many ways. Countries closed their borders to non-essential travelers, some cities had to quarantine, and many businesses had to shut down and pivot to online customer interactions (the feasibility was largely dependent on a business’s sector: the hospitality industry versus the technology industry). These all contributed to unprecedented numbers of people losing their jobs and sharp contractions in economies worldwide––on top of 2.69 million people who have died of COVID-19 as of March 19th, 2021. During this time, researchers have focused their attention on assisting the broader community by releasing findings and developing projects to expand our knowledge on various aspects of the COVID-19 pandemic. In light of beginning economic recovery, an important question for researchers is how to identify when it is safe to reopen businesses and other places of gathering.



Bing

Human Mobility Patterns Linked to COVID-19 Prone Locations

https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13

Since the onset of COVID-19 in late 2019, the virus has affected human mobility and the economy in many ways. Countries closed their borders to non-essential travelers, some cities had to quarantine, and many businesses had to shut down and pivot to online customer interactions (the feasibility was largely dependent on a business’s sector: the hospitality industry versus the technology industry). These all contributed to unprecedented numbers of people losing their jobs and sharp contractions in economies worldwide––on top of 2.69 million people who have died of COVID-19 as of March 19th, 2021. During this time, researchers have focused their attention on assisting the broader community by releasing findings and developing projects to expand our knowledge on various aspects of the COVID-19 pandemic. In light of beginning economic recovery, an important question for researchers is how to identify when it is safe to reopen businesses and other places of gathering.



DuckDuckGo

https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13

Human Mobility Patterns Linked to COVID-19 Prone Locations

Since the onset of COVID-19 in late 2019, the virus has affected human mobility and the economy in many ways. Countries closed their borders to non-essential travelers, some cities had to quarantine, and many businesses had to shut down and pivot to online customer interactions (the feasibility was largely dependent on a business’s sector: the hospitality industry versus the technology industry). These all contributed to unprecedented numbers of people losing their jobs and sharp contractions in economies worldwide––on top of 2.69 million people who have died of COVID-19 as of March 19th, 2021. During this time, researchers have focused their attention on assisting the broader community by releasing findings and developing projects to expand our knowledge on various aspects of the COVID-19 pandemic. In light of beginning economic recovery, an important question for researchers is how to identify when it is safe to reopen businesses and other places of gathering.

  • General Meta Tags

    21
    • title
      Human Mobility Patterns Linked to COVID-19 Prone Locations | Academic Commons
    • title
      Search
    • charset
      utf-8
    • Content-Type
      text/html; charset=utf-8
    • viewport
      width=device-width, initial-scale=1, shrink-to-fit=no
  • Open Graph Meta Tags

    8
    • og:site_name
      Academic Commons
    • og:image
      /packs/media/images/social-media-card-30f549521a3fc0e92bf6a449f0a986bf.jpg
    • og:image:width
      1024
    • og:image:height
      512
    • og:url
      https://doi.org/10.7916/d8-1z8r-ns13
  • Twitter Meta Tags

    3
    • twitter:card
      summary_large_image
    • twitter:site
      Academic Commons
    • twitter:creator
      Columbia University Libraries
  • Item Prop Meta Tags

    2
    • url
      https://doi.org/10.7916/d8-1z8r-ns13
    • inLanguage
      English
  • Link Tags

    6
    • alternate
      https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13.xml
    • alternate
      https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13.dc_xml
    • alternate
      https://academiccommons.columbia.edu/doi/10.7916/d8-1z8r-ns13.oai_dc_xml
    • search
      https://academiccommons.columbia.edu/search/opensearch.xml
    • shortcut icon
      /assets/favicon-2bca861a1ea3540fafcaa077d4b98465744c03cf3efbfbc5d730fbffc5409661.ico

Emails

2
  • ?subject=Human Mobility Patterns Linked to COVID-19 Prone Locations&body=https://doi.org/10.7916/d8-1z8r-ns13
  • [email protected]

Links

25