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  1. Article ; Online: Stay-at-home orders and the willingness to stay home during the COVID-19 pandemic: A stated-preference discrete choice experiment.

    Li, Liqing / Long, Dede / Rouhi Rad, Mani / Sloggy, Matthew R

    PloS one

    2021  Volume 16, Issue 7, Page(s) e0253910

    Abstract: ... a variety of policies, including stay-at-home (SAH) orders and mandatory mask requirements, aimed ... slowdown stemming from SAH orders when they decide to stay home or not. Finally, pandemic related ... individuals' willingness to stay (WTS) home, measured as the number of weeks of a potential new SAH order ...

    Abstract The spread of COVID-19 in the Spring of 2020 prompted state and local governments to implement a variety of policies, including stay-at-home (SAH) orders and mandatory mask requirements, aimed at reducing the infection rate and the severity of the pandemic's impact. We implement a discrete choice experiment survey in three major U.S. States-California, Georgia, and Illinois-to empirically quantify individuals' willingness to stay (WTS) home, measured as the number of weeks of a potential new SAH order, to prevent the spread of the COVID-19 disease and explore factors leading to their heterogeneous WTS. Our results demonstrate broad support for statewide mask mandates. In addition, the estimate of WTS to lower new positive cases is quite large, approximately five and half weeks, even though staying home lowers utility. We also find that individuals recognize the trade-offs between case reduction and economic slowdown stemming from SAH orders when they decide to stay home or not. Finally, pandemic related factors such as age, ability to work from home, and unemployment status are the main drivers of the heterogeneity in individuals' WTS.
    MeSH term(s) Adult ; Aged ; COVID-19/epidemiology ; COVID-19/prevention & control ; California/epidemiology ; Communicable Disease Control ; Female ; Georgia/epidemiology ; Humans ; Illinois/epidemiology ; Male ; Masks ; Middle Aged ; Pandemics/prevention & control ; Surveys and Questionnaires ; Young Adult
    Language English
    Publishing date 2021-07-01
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0253910
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Stay-at-home orders and the willingness to stay home during the COVID-19 pandemic

    Liqing Li / Dede Long / Mani Rouhi Rad / Matthew R Sloggy

    PLoS ONE, Vol 16, Iss 7, p e

    A stated-preference discrete choice experiment.

    2021  Volume 0253910

    Abstract: ... a variety of policies, including stay-at-home (SAH) orders and mandatory mask requirements, aimed ... slowdown stemming from SAH orders when they decide to stay home or not. Finally, pandemic related ... individuals' willingness to stay (WTS) home, measured as the number of weeks of a potential new SAH order ...

    Abstract The spread of COVID-19 in the Spring of 2020 prompted state and local governments to implement a variety of policies, including stay-at-home (SAH) orders and mandatory mask requirements, aimed at reducing the infection rate and the severity of the pandemic's impact. We implement a discrete choice experiment survey in three major U.S. States-California, Georgia, and Illinois-to empirically quantify individuals' willingness to stay (WTS) home, measured as the number of weeks of a potential new SAH order, to prevent the spread of the COVID-19 disease and explore factors leading to their heterogeneous WTS. Our results demonstrate broad support for statewide mask mandates. In addition, the estimate of WTS to lower new positive cases is quite large, approximately five and half weeks, even though staying home lowers utility. We also find that individuals recognize the trade-offs between case reduction and economic slowdown stemming from SAH orders when they decide to stay home or not. Finally, pandemic related factors such as age, ability to work from home, and unemployment status are the main drivers of the heterogeneity in individuals' WTS.
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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