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https://hdl.handle.net/10316/115197
Title: | Tracking the Wings of Covid-19 by Modeling Adaptability with Open Mobility Data | Authors: | Sousa, José Barata, João |
Issue Date: | 2020 | Publisher: | Taylor & Francis | Project: | This work is co-funded by national funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project CISUC - UID/CEC/00326/2020 and by European Social Fund, through the Regional Operational Program Centro 2020. | Serial title, monograph or event: | Applied Artificial Intelligence | Volume: | 35 | Issue: | 1 | Abstract: | The lifecycle of COVID-19 pandemic curves requires timely decisions to protect public health while minimizing the impact to global economy. New models are necessary to predict the effect of mobility suppression/reactivation decisions at a global scale. This research presents an approach to understand such tensions by modeling air travel restrictions during the new coronavirus outbreak. The paper begins with an updated review on the impact of air mobility in infectious disease progression, followed by the adoption of complex networks based on semi-supervised statistical learning. The model can be used to (1) determine the early identification of infectious disease spread via air travel and (2) align the need to keep the economy working with open connections and the different dynamic of national pandemic curves. The approach takes advantage of open data and machine self-supervised statistical learning to develop knowledge networks visualization. Test cases using Hong Kong and Wuhan aerial mobility are discussed in the decisions to (1) restrict and (2) increase mobility. The approach may also be of governments use in their international cooperation policy and commercial companies that need to choose how to prioritize the re-opening of international trade routes. | URI: | https://hdl.handle.net/10316/115197 | ISSN: | 0883-9514 1087-6545 |
DOI: | 10.1080/08839514.2020.1840196 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Informática - Artigos em Revistas Internacionais |
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Tracking the Wings of Covid-19 by Modeling Adaptability with Open Mobility Data.pdf | 6.07 MB | Adobe PDF | View/Open |
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