Chasing up and locking down the virus: Optimal pandemic interventions within a network

18087 7 98162 2 301942 document 98162 J Public Economic Theory - 2022 - Freiberger - Chasing up and locking down the virus Optimal pandemic interventions within.pdf application/pdf 46792da579dfd5d7da8458574a5cccfc MD5 3832221 2022-06-29 14:19:27 https://pure.iiasa.ac.at/id/eprint/18087/1/J%20Public%20Economic%20Theory%20-%202022%20-%20Freiberger%20-%20Chasing%20up%20and%20locking%20down%20the%20virus%20%20Optimal%20pandemic%20interventions%20within.pdf 18087 1 1 application/pdf text en public cc_by_4

J Public Economic Theory - 2022 - Freiberger - Chasing up and locking down the virus Optimal pandemic interventions within.pdf

published 98163 1 301948 document 98163 indexcodes.txt text/x-c++ e07d609288fab46bd360ca9bf4d316de MD5 17015 2022-06-29 14:29:36 https://pure.iiasa.ac.at/id/eprint/18087/2/indexcodes.txt 18087 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/98162 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/98162 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/98162 archive 353 disk0/00/01/80/87 2022-06-29 14:20:53 2022-10-18 11:59:54 2022-06-29 14:20:53 article show Freiberger M. 2329 Grass D. 2248 Kuhn M. 2235 Seidl A. Wrzaczek S. 9380 Chasing up and locking down the virus: Optimal pandemic interventions within a network pub ASA EM EF During the COVID-19 pandemic countries invested significant amounts of resources into its containment. In early stages of the pandemic most of the (nonpharmaceutical) interventions can be classified into two groups: (i) testing and identification of infected individuals, (ii) social distancing measures to reduce the transmission probabilities. Furthermore, both groups of measures may, in principle, be targeted at certain subgroups of a networked population. To study such a problem, we propose an extension of the SIR model with additional compartments for quarantine and different courses of the disease across several network nodes. We develop the structure of the optimal allocation and study a numerical example of three symmetric regions that are subject to an asymmetric progression of the disease (starting from an initial hotspot). Key findings include that (i) for our calibrations policies are chosen in a “flattening-the-curve,” avoiding hospital congestion; (ii) policies shift from containing spillovers from the hotspot initially to establishing a symmetric pattern of the disease; and (iii) testing that can be effectively targeted allows to reduce substantially the duration of the disease, hospital congestion and the total cost, both in terms of lives lost and economic costs. 2022-06-29 published Wiley 10.1111/jpet.12604 3290 3151 3124 3362 public Journal of Public Economic Theory 24 5 1182-1217 TRUE 1097-3923 no info:eu-repo/semantics/article