An agent based simulation of COVID-19 history in Catalonia using extensive real datasets
Abstract During the COVID-19 pandemic, effective public policy interventions have been crucial in combating virus transmission, sparking extensive debate on crisis management strategies and emphasizing the necessity for reliable models to inform governmental decisions, particularly at the local leve...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83238-1 |
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| author | M. Bosman Y. Cordon M. Duran-Sala L. Gabbanelli C. García-Pérez X. Jordan M. Manera P. Masjuan A. Medina Ll. M. Mir A. Oròs V. Vitagliano |
| author_facet | M. Bosman Y. Cordon M. Duran-Sala L. Gabbanelli C. García-Pérez X. Jordan M. Manera P. Masjuan A. Medina Ll. M. Mir A. Oròs V. Vitagliano |
| author_sort | M. Bosman |
| collection | DOAJ |
| description | Abstract During the COVID-19 pandemic, effective public policy interventions have been crucial in combating virus transmission, sparking extensive debate on crisis management strategies and emphasizing the necessity for reliable models to inform governmental decisions, particularly at the local level. Leveraging disaggregated socio-demographic microdata, including social determinants, age-specific strata, and mobility patterns, we design a comprehensive network model of Catalonia’s population and, through numerical simulation, assess its response to the outbreak of COVID-19 over the two-year period 2020–21. Our findings underscore the critical importance of timely implementation of broad non-pharmaceutical measures and effective vaccination campaigns in curbing virus spread; in addition, the identification of high-risk groups and their corresponding maps of connections within the network paves the way for tailored and more impactful interventions. |
| format | Article |
| id | doaj-art-30be8ba3973c48dfa0aee64eb53e19b3 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-30be8ba3973c48dfa0aee64eb53e19b32025-01-05T12:26:13ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-83238-1An agent based simulation of COVID-19 history in Catalonia using extensive real datasetsM. Bosman0Y. Cordon1M. Duran-Sala2L. Gabbanelli3C. García-Pérez4X. Jordan5M. Manera6P. Masjuan7A. Medina8Ll. M. Mir9A. Oròs10V. Vitagliano11Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyDIME, University of Genovai2CAT Foundation, Edifici Nexus (Campus Nord UPC)Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyCentre d’Estudis Demogràfics (CED-CERCA)Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyInstitut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and TechnologyDIME, University of GenovaAbstract During the COVID-19 pandemic, effective public policy interventions have been crucial in combating virus transmission, sparking extensive debate on crisis management strategies and emphasizing the necessity for reliable models to inform governmental decisions, particularly at the local level. Leveraging disaggregated socio-demographic microdata, including social determinants, age-specific strata, and mobility patterns, we design a comprehensive network model of Catalonia’s population and, through numerical simulation, assess its response to the outbreak of COVID-19 over the two-year period 2020–21. Our findings underscore the critical importance of timely implementation of broad non-pharmaceutical measures and effective vaccination campaigns in curbing virus spread; in addition, the identification of high-risk groups and their corresponding maps of connections within the network paves the way for tailored and more impactful interventions.https://doi.org/10.1038/s41598-024-83238-1COVID-19Agent-based modelDisease propagationVaccineCatalonia |
| spellingShingle | M. Bosman Y. Cordon M. Duran-Sala L. Gabbanelli C. García-Pérez X. Jordan M. Manera P. Masjuan A. Medina Ll. M. Mir A. Oròs V. Vitagliano An agent based simulation of COVID-19 history in Catalonia using extensive real datasets Scientific Reports COVID-19 Agent-based model Disease propagation Vaccine Catalonia |
| title | An agent based simulation of COVID-19 history in Catalonia using extensive real datasets |
| title_full | An agent based simulation of COVID-19 history in Catalonia using extensive real datasets |
| title_fullStr | An agent based simulation of COVID-19 history in Catalonia using extensive real datasets |
| title_full_unstemmed | An agent based simulation of COVID-19 history in Catalonia using extensive real datasets |
| title_short | An agent based simulation of COVID-19 history in Catalonia using extensive real datasets |
| title_sort | agent based simulation of covid 19 history in catalonia using extensive real datasets |
| topic | COVID-19 Agent-based model Disease propagation Vaccine Catalonia |
| url | https://doi.org/10.1038/s41598-024-83238-1 |
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