Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses

Alberto Bisin and Andrea Moro

MPRA Paper from University Library of Munich, Germany

Abstract: We simulate a spatial behavioral model of the diffusion of an infection to understand the role of geographical characteristics: the number and distribution of outbreaks, population size, density, and agents' movements. We show that several invariance properties of the SIR model with respect to these variables do not hold when agents are placed in a (two dimensional ) geographical space. Indeed, local herd immunity plays a fundamental role in changing the dynamics of the infection. We also show that geographical factors affect how behavioral responses affect the epidemics. We derive relevant implications for the estimation of epidemiological models with panel data from several geographical units.

Keywords: Covid-19; Spatial-SIR; SIR; Behavioral responses; Infection dynamics (search for similar items in EconPapers)
JEL-codes: C52 C63 I1 (search for similar items in EconPapers)
Date: 2020-06-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)

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https://mpra.ub.uni-muenchen.de/101059/1/MPRA_paper_101059.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/101515/8/MPRA_paper_101515.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/102143/18/MPRA_paper_102143.pdf revised version (application/pdf)

Related works:
Working Paper: Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (2021)
Working Paper: Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:101059

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