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| Title: | Trending on the use of google mobility data in COVID-19 mathematical models | Authors: | Deng, Y Lin, H He, D Zhao, Y |
Issue Date: | 2024 | Source: | Advances in continuous and discrete models, 2024, v. 2024, 21 | Abstract: | Google mobility data has been widely used in COVID-19 mathematical modeling to understand disease transmission dynamics. This review examines the extensive literature on the use of Google mobility data in COVID-19 mathematical modeling. We mainly focus on over a dozen influential studies using Google mobility data in COVID-19 mathematical modeling, including compartmental and metapopulation models. Google mobility data provides valuable insights into mobility changes and interventions. However, challenges persist in fully elucidating transmission dynamics over time, modeling longer time series and accounting for individual-level correlations in mobility patterns, urging the incorporation of diverse datasets for modeling in the post-COVID-19 landscape. | Keywords: | Contact matrix COVID-19 Google mobility data Mathematical models The basic reproduction number Transmission rate |
Publisher: | SpringerOpen | Journal: | Advances in continuous and discrete models | EISSN: | 2731-4235 | DOI: | 10.1186/s13662-024-03816-5 | Rights: | © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The following publication Deng, Y., Lin, H., He, D. et al. Trending on the use of Google mobility data in COVID-19 mathematical models. Adv Cont Discr Mod 2024, 21 (2024) is available at https://doi.org/10.1186/s13662-024-03816-5. |
| Appears in Collections: | Journal/Magazine Article |
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| s13662-024-03816-5.pdf | 1.2 MB | Adobe PDF | View/Open |
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