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Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis
OBJECTIVES: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. STUDY DESIGN: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351378/ https://www.ncbi.nlm.nih.gov/pubmed/32739776 http://dx.doi.org/10.1016/j.puhe.2020.07.002 |
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author | Oztig, L.I. Askin, O.E. |
author_facet | Oztig, L.I. Askin, O.E. |
author_sort | Oztig, L.I. |
collection | PubMed |
description | OBJECTIVES: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. STUDY DESIGN: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. METHODS: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis. RESULTS: Our findings suggest a positive relationship between higher volume of airline passenger traffic carried in a country and higher numbers of patients with COVID-19. We further found that countries which have a higher number of airports are associated with higher number of COVID-19 cases. Schengen countries, countries which have higher population density, and higher percentage of elderly population are also found to be more likely to have more COVID-19 cases than other countries. CONCLUSIONS: The article brings a novel insight into the COVID-19 pandemic from a human mobility perspective. Future research should assess the impacts of the scale of sea/bus/car travel on the epidemic. The findings of this article are relevant for public health authorities, community and health service providers, as well as policy-makers. |
format | Online Article Text |
id | pubmed-7351378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73513782020-07-13 Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis Oztig, L.I. Askin, O.E. Public Health Article OBJECTIVES: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. STUDY DESIGN: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. METHODS: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis. RESULTS: Our findings suggest a positive relationship between higher volume of airline passenger traffic carried in a country and higher numbers of patients with COVID-19. We further found that countries which have a higher number of airports are associated with higher number of COVID-19 cases. Schengen countries, countries which have higher population density, and higher percentage of elderly population are also found to be more likely to have more COVID-19 cases than other countries. CONCLUSIONS: The article brings a novel insight into the COVID-19 pandemic from a human mobility perspective. Future research should assess the impacts of the scale of sea/bus/car travel on the epidemic. The findings of this article are relevant for public health authorities, community and health service providers, as well as policy-makers. The Royal Society for Public Health. Published by Elsevier Ltd. 2020-08 2020-07-10 /pmc/articles/PMC7351378/ /pubmed/32739776 http://dx.doi.org/10.1016/j.puhe.2020.07.002 Text en © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Oztig, L.I. Askin, O.E. Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title | Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title_full | Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title_fullStr | Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title_full_unstemmed | Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title_short | Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis |
title_sort | human mobility and coronavirus disease 2019 (covid-19): a negative binomial regression analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351378/ https://www.ncbi.nlm.nih.gov/pubmed/32739776 http://dx.doi.org/10.1016/j.puhe.2020.07.002 |
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