Literature DB >> 32493967

Global supply-chain effects of COVID-19 control measures.

Dabo Guan1,2, Daoping Wang3, Stephane Hallegatte4, Steven J Davis5, Jingwen Huo6, Shuping Li7, Yangchun Bai7, Tianyang Lei6, Qianyu Xue7, D'Maris Coffman8, Danyang Cheng6, Peipei Chen9, Xi Liang10, Bing Xu6,11, Xiaosheng Lu12, Shouyang Wang13, Klaus Hubacek14, Peng Gong6,11.   

Abstract

Countries have sought to stop the spread of coronavirus disease 2019 (COVID-19) by severely restricting travel and in-person commercial activities. Here, we analyse the supply-chain effects of a set of idealized lockdown scenarios, using the latest global trade modelling framework. We find that supply-chain losses that are related to initial COVID-19 lockdowns are largely dependent on the number of countries imposing restrictions and that losses are more sensitive to the duration of a lockdown than its strictness. However, a longer containment that can eradicate the disease imposes a smaller loss than shorter ones. Earlier, stricter and shorter lockdowns can minimize overall losses. A 'go-slow' approach to lifting restrictions may reduce overall damages if it avoids the need for further lockdowns. Regardless of the strategy, the complexity of global supply chains will magnify losses beyond the direct effects of COVID-19. Thus, pandemic control is a public good that requires collective efforts and support to lower-capacity countries.

Entities:  

Mesh:

Year:  2020        PMID: 32493967     DOI: 10.1038/s41562-020-0896-8

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  93 in total

1.  Forecasting the propagation of pandemic shocks with a dynamic input-output model.

Authors:  Anton Pichler; Marco Pangallo; R Maria Del Rio-Chanona; François Lafond; J Doyne Farmer
Journal:  J Econ Dyn Control       Date:  2022-09-13

2.  City-Specific Effects of Lifting Mobility Restrictions - China, February-March 2020.

Authors:  Shasha Han; Libing Ma; Ting Zhang; Luzhao Feng; Weizhong Yang; Xiaoying Zheng
Journal:  China CDC Wkly       Date:  2022-08-05

3.  Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19.

Authors:  Malin Song; Sai Yuan; Hongguang Bo; Jinbo Song; Xiongfeng Pan; Kairui Jin
Journal:  Ann Oper Res       Date:  2022-07-13       Impact factor: 4.820

4.  Institutional development and the government response to COVID-19 in China.

Authors:  Xin Li; Eddie C M Hui; Jianfu Shen
Journal:  Habitat Int       Date:  2022-07-19

5.  Quickest Detection of COVID-19 Pandemic Onset.

Authors:  P Braca; D Gaglione; S Marano; L M Millefiori; P Willett; K Pattipati
Journal:  IEEE Signal Process Lett       Date:  2021-03-24       Impact factor: 3.109

Review 6.  Lessons from a pandemic for systems-oriented sustainability research.

Authors:  Noelle E Selin
Journal:  Sci Adv       Date:  2021-05-26       Impact factor: 14.136

7.  Electricity consumption variation of public buildings in response to COVID-19 restriction and easing policies: A case study in Scotland, U.K.

Authors:  Zefeng Huang; Zhonghua Gou
Journal:  Energy Build       Date:  2022-05-04       Impact factor: 7.201

8.  Modelling the spread of SARS-CoV-2 pandemic - Impact of lockdowns & interventions.

Authors:  Manindra Agrawal; Madhuri Kanitkar; M Vidyasagar
Journal:  Indian J Med Res       Date:  2021 Jan & Feb       Impact factor: 2.375

9.  Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic.

Authors:  Rohitash Chandra; Yixuan He
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

10.  Looking Through the COVID-19 Window of Opportunity: Future Scenarios Arising From the COVID-19 Pandemic Across Five Case Study Sites.

Authors:  Isabell Richter; Arlene Avillanosa; Victoria Cheung; Hong Ching Goh; Sofia Johari; Susan Kay; Carya Maharja; Thu Hà Nguyễn; Sabine Pahl; Jito Sugardjito; Joel Sumeldan; Quyen van Nguyen; Hien Thuc Vu; Wan Nur Syazana Wan Mohamad Ariffin; Melanie C Austen
Journal:  Front Psychol       Date:  2021-07-07
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