Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2-Reference-Cited by-同舟云学术

Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2

Published:2020-07 Issue:5 Volume:27 Page:
ISSN:1195-1982
Container-title:Journal of Travel Medicine
language:en
Short-container-title:

Author:

Bisanzio Donal¹²,Kraemer Moritz U G³⁴⁵,Brewer Thomas⁴,Brownstein John S³⁴,Reithinger Richard¹

Affiliation:

1. RTI International, Washington, DC, USA

2. Epidemiology and Public Health Division, School of Medicine, University of Nottingham, Nottingham, UK

3. Department of Paediatrics, Harvard Medical School, Boston, USA

4. Computational Epidemiology Lab, Boston Children’s Hospital, Boston, USA

5. Department of Zoology, University of Oxford, Oxford, UK

Abstract

Openly available, geotagged Twitter data from 2013 to 2015 was used to estimate the 2019–2020 human mobility patterns in and outside of China to predict the spatiotemporal spread of severe acute respiratory syndrome coronavirus 2. Countries with the highest number of visiting Twitter users outside of China were the USA, Japan, UK, Germany and Turkey. A high correlation was observed when comparing country-level Twitter user visits and reported cases.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Link

http://academic.oup.com/jtm/advance-article-pdf/doi/10.1093/jtm/taaa120/33525593/taaa120.pdf

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