000126000 001__ 126000
000126000 005__ 20241125101148.0
000126000 0247_ $$2doi$$a10.3389/fpubh.2023.1122230
000126000 0248_ $$2sideral$$a133546
000126000 037__ $$aART-2023-133546
000126000 041__ $$aeng
000126000 100__ $$aRodríguez, Jorge P.
000126000 245__ $$aDigital cities and the spread of COVID-19: Characterizing the impact of non-pharmaceutical interventions in five cities in Spain
000126000 260__ $$c2023
000126000 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126000 5203_ $$aMathematical modeling has been fundamental to achieving near real-time accurate forecasts of the spread of COVID-19. Similarly, the design of non-pharmaceutical interventions has played a key role in the application of policies to contain the spread. However, there is less work done regarding quantitative approaches to characterize the impact of each intervention, which can greatly vary depending on the culture, region, and specific circumstances of the population under consideration. In this work, we develop a high-resolution, data-driven agent-based model of the spread of COVID-19 among the population in five Spanish cities. These populations synthesize multiple data sources that summarize the main interaction environments leading to potential contacts. We simulate the spreading of COVID-19 in these cities and study the effect of several non-pharmaceutical interventions. We illustrate the potential of our approach through a case study and derive the impact of the most relevant interventions through scenarios where they are suppressed. Our framework constitutes a first tool to simulate different intervention scenarios for decision-making.
000126000 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-20R$$9info:eu-repo/grantAgreement/ES/DGA/FONDO-C19-UZ-164255$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-115800GB-I00
000126000 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126000 590__ $$a3.0$$b2023
000126000 592__ $$a0.895$$b2023
000126000 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b115 / 408 = 0.282$$c2023$$dQ2$$eT1
000126000 593__ $$aPublic Health, Environmental and Occupational Health$$c2023$$dQ1
000126000 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b115 / 408 = 0.282$$c2023$$dQ2$$eT1
000126000 594__ $$a4.8$$b2023
000126000 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126000 700__ $$0(orcid)0000-0002-1192-8707$$aAleta, Alberto$$uUniversidad de Zaragoza
000126000 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000126000 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000126000 773__ $$g11 (2023), 1122230 [11 pp.]$$pFront. public health.$$tFrontiers in public health$$x2296-2565
000126000 8564_ $$s2074253$$uhttps://zaguan.unizar.es/record/126000/files/texto_completo.pdf$$yVersión publicada
000126000 8564_ $$s2243308$$uhttps://zaguan.unizar.es/record/126000/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126000 909CO $$ooai:zaguan.unizar.es:126000$$particulos$$pdriver
000126000 951__ $$a2024-11-22-12:05:31
000126000 980__ $$aARTICLE