Human behavior-driven epidemic surveillance in urban landscapes
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913323990122496 |
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| author | Valgañón, Pablo Useche, Andrés Felipe Montes, Felipe Arenas, Alex Soriano-Paños, David Gómez-Gardeñes, Jesús |
| author_facet | Valgañón, Pablo Useche, Andrés Felipe Montes, Felipe Arenas, Alex Soriano-Paños, David Gómez-Gardeñes, Jesús |
| contents | We introduce a surveillance strategy specifically designed for urban areas to enhance preparedness and response to disease outbreaks by leveraging the unique characteristics of human behavior within urban contexts. By integrating data on individual residences and travel patterns, we construct a Mixing matrix that facilitates the identification of critical pathways that ease pathogen transmission across urban landscapes enabling targeted testing strategies. Our approach not only enhances public health systems' ability to provide early epidemiological alerts but also underscores the variability in strategy effectiveness based on urban layout. We prove the feasibility of our mobility-informed policies by mapping essential mobility flows to major transit stations, showing that few resources focused on specific stations yields a more effective surveillance than non-targeted approaches. This study emphasizes the critical role of integrating human behavioral patterns into epidemic management strategies to improve the preparedness and resilience of major cities against future outbreaks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14009 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Human behavior-driven epidemic surveillance in urban landscapes Valgañón, Pablo Useche, Andrés Felipe Montes, Felipe Arenas, Alex Soriano-Paños, David Gómez-Gardeñes, Jesús Physics and Society We introduce a surveillance strategy specifically designed for urban areas to enhance preparedness and response to disease outbreaks by leveraging the unique characteristics of human behavior within urban contexts. By integrating data on individual residences and travel patterns, we construct a Mixing matrix that facilitates the identification of critical pathways that ease pathogen transmission across urban landscapes enabling targeted testing strategies. Our approach not only enhances public health systems' ability to provide early epidemiological alerts but also underscores the variability in strategy effectiveness based on urban layout. We prove the feasibility of our mobility-informed policies by mapping essential mobility flows to major transit stations, showing that few resources focused on specific stations yields a more effective surveillance than non-targeted approaches. This study emphasizes the critical role of integrating human behavioral patterns into epidemic management strategies to improve the preparedness and resilience of major cities against future outbreaks. |
| title | Human behavior-driven epidemic surveillance in urban landscapes |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2404.14009 |