Socio-economic pandemic modelling : case of Spain
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2024-01
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en
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Scientific Reports, Volume 14, issue 1
Abstract
A global disaster, such as the recent Covid-19 pandemic, affects every aspect of our lives and there is a need to investigate these highly complex phenomena if one aims to diminish their impact in the health of the population, as well as their socio-economic stability. In this paper we present an attempt to understand the role of the governmental authorities and the response of the rest of the population facing such emergencies. We present a mathematical model that takes into account the epidemiological features of the pandemic and also the actions of people responding to it, focusing only on three aspects of the system, namely, the fear of catching this serious disease, the impact on the economic activities and the compliance of the people to the mitigating measures adopted by the authorities. We apply the model to the specific case of Spain, since there are accurate data available about these three features. We focused on tourism as an example of the economic activity, since this sector of economy is one of the most likely to be affected by the restrictions imposed by the authorities, and because it represents an important part of Spanish economy. The results of numerical calculations agree with the empirical data in such a way that we can acquire a better insight of the different processes at play in such a complex situation, and also in other different circumstances.Description
Funding Information: The computational resources provided by the Aalto Science-IT project have been utilised in this work. KK acknowledge support from EU HORIZON 2020 INFRAIA-1-2014-2015 program project (SoBigData: Social Mining and Big Data Ecosystem) No. 654024 and INFRAIA-2019-1 (SoBigData++:European Integrated Infrastructure for Social Mining and Big Data Analytics) No. 871042 as well as NordForsk Programme for Interdisciplinary Research project “The Network Dynamics of Ethnic Integration”. R.A.B., J.E.S. and N.B. acknowledge support from The National Autonomous University of Mexico (UNAM) and Alianza UCMX of the University of California (UC), through the project included in the Special Call for Binational Collaborative Projects addressing COVID-19. M.J.K. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, through project “UniSDyn”, Grant agreement no. 818665. Funding Information: Open Access funding enabled and organized by Projekt DEAL. Open access funding has been provided by the Max Planck Society through Projekt DEAL. | openaire: EC/H2020/654024/EU//SoBigData | openaire: EC/H2020/871042/EU//SoBigData-PlusPlus | openaire: EC/H2020/818665/EU//UniSDyn
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Snellman, J E, Barreiro, N L, Barrio, R A, Ventura, C I, Govezensky, T, Kaski, K K & Korpi-Lagg, M J 2024, ' Socio-economic pandemic modelling : case of Spain ', Scientific Reports, vol. 14, no. 1, 817 . https://doi.org/10.1038/s41598-023-44637-y