The socio-economic impacts of the COVID-19 mitigation measures and vulnerabilities in Singapore

被引:1
作者
Daly, Patrick [1 ]
Nejad, Amin Shoari [2 ]
Domijan, Katarina [2 ]
Mccaughey, Jamie W. [3 ]
Brassard, Caroline [4 ]
Kathiravelu, Laavanya [5 ,8 ]
Marques, Mateus [2 ]
Sarti, Danilo [2 ]
Parnell, Andrew C. [2 ]
Horton, Benjamin [6 ,7 ]
机构
[1] Nanyang Technol Univ, Earth Observ Singapore, 50 Nanyang Ave, Block N2-01a-15, Singapore 639798, Singapore
[2] Maynooth Univ, Hamilton Inst, Dept Math & Stat, Maynooth W23F2H6, Kildare, Ireland
[3] Swiss Fed Inst Technol, Inst Environm Decis, Univ Str 22,CHN K72-1, CH-8092 Zurich, Switzerland
[4] Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, 469C Bukit Timah Rd, Singapore 259772, Singapore
[5] Nanyang Technol Univ, Sch Social Sci, 48 Nanyang Ave, Singapore 639818, Singapore
[6] Nanyang Technol Univ, Earth Observ Singapore, 50 Nanyang Ave,Block N2-01a-15, Singapore 639798, Singapore
[7] Nanyang Technol Univ, Asian Sch Environm, 59 Nanyang Dr, Singapore, Singapore
[8] Univ Oslo, Dept Sociol & Human Geog, Oslo, Norway
基金
爱尔兰科学基金会;
关键词
COVID-19; Risk; Mitigation; Disasters; Vulnerability; Resilience; SOCIAL VULNERABILITY; DISASTER RISK; UNITED-STATES; MENTAL-HEALTH; PERSPECTIVE; POVERTY; GENDER; RACE;
D O I
10.1016/j.pdisas.2024.100377
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Starting in early 2020, countries around the world imposed mitigation measures to reduce transmission of COVID-19 including social distancing; closing public transport, schools, and non-essential businesses; enhanced hygiene; face masks; temperature monitoring; quarantining; and contact tracing. These mitigation measures helped reduce loss of life, but also disrupted the lives of billions of people. Here we assess whether mitigation measures used to manage a disaster can also have negative impacts that disproportionately burden vulnerable sub-sets of a population. We use data from a survey of Singaporean citizens and permanent residents during the lockdown period between April and July 2020 to evaluate the social and economic impacts of Singapore's COVID-19 mitigation measures. Our results show that over 60 % of the population experienced negative impacts on their social lives and 40 % on household economics. Bayesian Hierarchical Logistic Regress reveals that the negative economic impacts of the mitigation measures were partly influenced by socio-economic and demographic factors that align with underlying societal vulnerabilities. Our findings suggest that when dealing with large-scale crisis' such as COVID-19, slow-onset disasters, and climate change, some of the burdens of mitigation measure can constitute a crisis in their own right which could disproportionately impact vulnerable segments of the population.
引用
收藏
页数:17
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