Digital cities and the spread of COVID-19: Characterizing the impact of non-pharmaceutical interventions in five cities in Spain

Rodríguez, Jorge P. ; Aleta, Alberto (Universidad de Zaragoza) ; Moreno, Yamir (Universidad de Zaragoza)

Resumen: Mathematical 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.

Idioma: Inglés

DOI: 10.3389/fpubh.2023.1122230

Año: 2023

Publicado en: Frontiers in public health 11 (2023), 1122230 [11 pp.]
ISSN: 2296-2565

Factor impacto JCR: 3.0 (2023)

Categ. JCR: PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH rank: 115 / 408 = 0.282 (2023) - Q2 - T1
Categ. JCR: PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH rank: 115 / 408 = 0.282 (2023) - Q2 - T1

Factor impacto CITESCORE: 4.8 - Public Health, Environmental and Occupational Health (Q2)

Factor impacto SCIMAGO: 0.895 - Public Health, Environmental and Occupational Health (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E36-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA/FONDO-C19-UZ-164255
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-115800GB-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Física Teórica (Dpto. Física Teórica)