Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile.
The COVID-19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic characteristics shaped population response during restriction...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-02-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012802 |
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| author | Pasquale Casaburi Lorenzo Dall'Amico Nicolò Gozzi Kyriaki Kalimeri Anna Sapienza Rossano Schifanella T Di Matteo Leo Ferres Mattia Mazzoli |
| author_facet | Pasquale Casaburi Lorenzo Dall'Amico Nicolò Gozzi Kyriaki Kalimeri Anna Sapienza Rossano Schifanella T Di Matteo Leo Ferres Mattia Mazzoli |
| author_sort | Pasquale Casaburi |
| collection | DOAJ |
| description | The COVID-19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic characteristics shaped population response during restrictions and how repeated interventions eroded adherence over time. Less is known about how different population strata changed their response to repeated interventions and how this impacted the resulting mobility network. We study population response during the first and second infection waves of the COVID-19 pandemic in Chile and Spain. Via spatial lag and regression models, we investigate the adherence to mobility interventions at the municipality level in Chile, highlighting the significant role of wealth, labor structure, COVID-19 incidence, and network metrics characterizing business-as-usual municipality connectivity in shaping mobility changes during the two waves. We assess network structural similarities in the two periods by defining mobility hotspots and traveling probabilities in the two countries. As a proof of concept, we simulate and compare outcomes of an epidemic diffusion occurring in the two waves. While differences exist between factors associated with mobility reduction across waves in Chile, underscoring the dynamic nature of population response, our analysis reveals the resilience of the mobility network across the two waves. We test the robustness of our findings recovering similar results for Spain. Finally, epidemic modeling suggests that historical mobility data from past waves can be leveraged to inform future disease spatial invasion models in repeated interventions. This study highlights the value of historical mobile phone data for building pandemic preparedness and lessens the need for real-time data streams for risk assessment and outbreak response. Our work provides valuable insights into the complex interplay of factors driving mobility across repeated interventions, aiding in developing targeted mitigation strategies. |
| format | Article |
| id | doaj-art-0ca011f3ba834b2bb763f18b2a20dfc6 |
| institution | DOAJ |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-0ca011f3ba834b2bb763f18b2a20dfc62025-08-20T03:09:34ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-02-01212e101280210.1371/journal.pcbi.1012802Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile.Pasquale CasaburiLorenzo Dall'AmicoNicolò GozziKyriaki KalimeriAnna SapienzaRossano SchifanellaT Di MatteoLeo FerresMattia MazzoliThe COVID-19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic characteristics shaped population response during restrictions and how repeated interventions eroded adherence over time. Less is known about how different population strata changed their response to repeated interventions and how this impacted the resulting mobility network. We study population response during the first and second infection waves of the COVID-19 pandemic in Chile and Spain. Via spatial lag and regression models, we investigate the adherence to mobility interventions at the municipality level in Chile, highlighting the significant role of wealth, labor structure, COVID-19 incidence, and network metrics characterizing business-as-usual municipality connectivity in shaping mobility changes during the two waves. We assess network structural similarities in the two periods by defining mobility hotspots and traveling probabilities in the two countries. As a proof of concept, we simulate and compare outcomes of an epidemic diffusion occurring in the two waves. While differences exist between factors associated with mobility reduction across waves in Chile, underscoring the dynamic nature of population response, our analysis reveals the resilience of the mobility network across the two waves. We test the robustness of our findings recovering similar results for Spain. Finally, epidemic modeling suggests that historical mobility data from past waves can be leveraged to inform future disease spatial invasion models in repeated interventions. This study highlights the value of historical mobile phone data for building pandemic preparedness and lessens the need for real-time data streams for risk assessment and outbreak response. Our work provides valuable insights into the complex interplay of factors driving mobility across repeated interventions, aiding in developing targeted mitigation strategies.https://doi.org/10.1371/journal.pcbi.1012802 |
| spellingShingle | Pasquale Casaburi Lorenzo Dall'Amico Nicolò Gozzi Kyriaki Kalimeri Anna Sapienza Rossano Schifanella T Di Matteo Leo Ferres Mattia Mazzoli Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. PLoS Computational Biology |
| title | Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. |
| title_full | Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. |
| title_fullStr | Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. |
| title_full_unstemmed | Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. |
| title_short | Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. |
| title_sort | resilience of mobility network to dynamic population response across covid 19 interventions evidences from chile |
| url | https://doi.org/10.1371/journal.pcbi.1012802 |
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