This article is a Preprint
Preprints are preliminary research reports that have not been certified by peer review. They should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Preprints posted online allow authors to receive rapid feedback and the entire scientific community can appraise the work for themselves and respond appropriately. Those comments are posted alongside the preprints for anyone to read them and serve as a post publication assessment.
Pathways of the COVID-19 Pandemic with Human Mobility across Countries
Preprint
in En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-20108589
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
This study develops a holistic view of the novel coronavirus (COVID-19) transmission worldwide through a spatial-temporal model with network dynamics. By using a unique human mobility dataset containing 547,166 flights with a total capacity of 101,455,913 passengers among 22 countries during the past three months, we analyze the associations between international travel movement in six continents and the new infections in these countries. Results show that policymakers should move away from the previous practices that focus only on restricting hotspot areas with high transmission rates. Instead, they should develop a new holistic view of global human mobility to adjust the international movement restriction. The study highlights that international human mobility is the key to understand the transmission pathways and the small world phenomenon in the global network of COVID-19 pandemic.
cc_by
Full text:
1
Collection:
09-preprints
Database:
PREPRINT-MEDRXIV
Language:
En
Year:
2020
Document type:
Preprint