Epidemiological and Economic Impact of COVID-19 in the US
This research measures the epidemiological and economic impact of COVID-19 spread in the US under different mitigation scenarios, comprising of non-pharmaceutical interventions. A detailed disease model of COVID-19 is combined with a model of the US economy to estimate the direct impact of labor supply shock to each sector arising from morbidity, mortality, and lock down, as well as the indirect impact caused by the interdependencies between sectors. During a lockdown, estimates of jobs that are workable from home in each sector are used to modify the shock to labor supply. Results show trade-offs between economic losses, and lives saved and infections averted are non-linear in compliance to social distancing and the duration of lockdown. Sectors that are worst hit are not the labor-intensive sectors such as Agriculture and Construction, but the ones with high valued jobs such as Professional Services, even after the teleworkability of jobs is accounted for. Additionally, the findings show that a low compliance to interventions can be overcome by a longer shutdown period and vice versa to arrive at similar epidemiological impact but their net effect on economic loss depends on the interplay between the marginal gains from averting infections and deaths, versus the marginal loss from having healthy workers stay at home during the shutdown.
| Errataetall: | |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2020 |
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| Enthalten in: |
medRxiv : the preprint server for health sciences - (2020) vom: 30. Nov. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Jiangzhuo [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 03.11.2022 published: Electronic UpdateIn: Sci Rep. 2021 Oct 14;11(1):20451. - PMID 34650141 Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1101/2020.11.28.20239517 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM318355272 |
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| 500 | |a published: Electronic | ||
| 500 | |a UpdateIn: Sci Rep. 2021 Oct 14;11(1):20451. - PMID 34650141 | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a This research measures the epidemiological and economic impact of COVID-19 spread in the US under different mitigation scenarios, comprising of non-pharmaceutical interventions. A detailed disease model of COVID-19 is combined with a model of the US economy to estimate the direct impact of labor supply shock to each sector arising from morbidity, mortality, and lock down, as well as the indirect impact caused by the interdependencies between sectors. During a lockdown, estimates of jobs that are workable from home in each sector are used to modify the shock to labor supply. Results show trade-offs between economic losses, and lives saved and infections averted are non-linear in compliance to social distancing and the duration of lockdown. Sectors that are worst hit are not the labor-intensive sectors such as Agriculture and Construction, but the ones with high valued jobs such as Professional Services, even after the teleworkability of jobs is accounted for. Additionally, the findings show that a low compliance to interventions can be overcome by a longer shutdown period and vice versa to arrive at similar epidemiological impact but their net effect on economic loss depends on the interplay between the marginal gains from averting infections and deaths, versus the marginal loss from having healthy workers stay at home during the shutdown | ||
| 650 | 4 | |a Preprint | |
| 700 | 1 | |a Vullikanti, Anil |e verfasserin |4 aut | |
| 700 | 1 | |a Santos, Joost |e verfasserin |4 aut | |
| 700 | 1 | |a Venkatramanan, Srinivasan |e verfasserin |4 aut | |
| 700 | 1 | |a Hoops, Stefan |e verfasserin |4 aut | |
| 700 | 1 | |a Mortveit, Henning |e verfasserin |4 aut | |
| 700 | 1 | |a Lewis, Bryan |e verfasserin |4 aut | |
| 700 | 1 | |a You, Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Eubank, Stephen |e verfasserin |4 aut | |
| 700 | 1 | |a Marathe, Madhav |e verfasserin |4 aut | |
| 700 | 1 | |a Barrett, Chris |e verfasserin |4 aut | |
| 700 | 1 | |a Marathe, Achla |e verfasserin |4 aut | |
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