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Title: | Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities | Authors: | ENSOY-MUSORO, Chellafe NGUYEN, Minh Hanh HENS, Niel MOLENBERGHS, Geert FAES, Christel |
Issue Date: | 2023 | Publisher: | ELSEVIER SCI LTD | Source: | Spatial and spatio-temporal epidemiology (Print), 45 (Art N° 100568) | Abstract: | The rapid spread of COVID-19 worldwide led to the implementation of various non-pharmaceutical interven-tions to limit transmission and hence reduce the number of infections. Using telecom-operator-based mobility data and a spatio-temporal dynamic model, the impact of mobility on the evolution of the pandemic at the level of the 581 Belgian municipalities is investigated. By decomposing incidence, particularly into within-and between-municipality components, we noted that the global epidemic component is relatively more important in larger municipalities (e.g., cities), while the local component is more relevant in smaller (rural) municipalities. Investigation of the effect of mobility on the pandemic spread showed that reduction of mobility has a significant impact in reducing the number of new infections. | Notes: | Nguyen, MH (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium. minhhanh.nguyen@uhasselt.be; christel.faes@uhasselt.be |
Keywords: | COVID-19;Mobility;Stochastic prediction;Spatio-temporal dynamic model | Document URI: | http://hdl.handle.net/1942/39965 | ISSN: | 1877-5845 | e-ISSN: | 1877-5853 | DOI: | 10.1016/j.sste.2023.100568 | ISI #: | 000947988000001 | Rights: | 2023 Elsevier Ltd. All rights reserved. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities.pdf | Published version | 3.03 MB | Adobe PDF | View/Open |
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