When local governments’ stay-at-home orders meet the white house’s “opening up america again”
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ABSTRACT:
SUBMITTER: Mousavi R
PROVIDER: S-EPMC10954150 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:Initial research on the effect of pandemic related stay-at-home orders (SAHO) on subsequent US state unemployment rates found inconclusive results regarding the magnitude of the effect. This research helps to clarify the debate, finding that while own-state SAHOs affected unemployment outcomes, it was actually the national level of SAHO implementation across the country that had an even greater impact. While these results do not offer direct guidance on when or whether SAHOs should have been issued in any given state, they do help to clarify the impact of SAHOs on various measures of US unemployment. Supplementary Information The online version contains supplementary material available at 10.1057/s41302-023-00243-4.
| S-EPMC10031179 | biostudies-literature
Project description: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.
| S-EPMC8248689 | biostudies-literature
Project description:IntroductionThis study aimed to better understand the inequitable impact of the pandemic by examining the associations between stay-at-home orders and indoor smoking in public housing, measured by ambient particulate matter at the 2.5-micron threshold, a marker for secondhand smoke.MethodsParticulate matter at the 2.5-micron threshold was measured in 6 public-housing buildings in Norfolk, VA from 2018 to 2022. Multilevel regression was used to compare the 7-week period of the Virginia stay-at-home order in 2020 with that period in other years.ResultsIndoor particulate matter at the 2.5-micron threshold was 10.29 μg/m3 higher in 2020 (95% CI=8.51, 12.07) than in the same period in 2019, a 72% increase. Although particulate matter at the 2.5-micron threshold improved in 2021 and 2022, it remained elevated relative to the level in 2019.ConclusionsStay-at-home orders likely led to increased indoor secondhand smoke in public housing. In light of evidence linking air pollutants, including secondhand smoke, with COVID-19, these results also provide further evidence of the disproportionate impact of the pandemic on socioeconomically disadvantaged communities. This consequence of the pandemic response is unlikely to be isolated and calls for a critical examination of the COVID-19 experience to avoid similar policy failures in future public health crises.
| S-EPMC9984233 | biostudies-literature
Project description:The COVID-19 pandemic and containment policies have had profound economic impacts on the labor market. Stay-at-home orders (SAHOs) implemented across most of the United States changed the way of people worked. In this paper, we quantify the effect of SAHO durations on skill demands to study how firms adjust labor demand within occupation. We use skill requirement information from the 2018 to 2021 online job vacancy posting data from Burning Glass Technologies, exploit the spatial variations in the SAHO duration, and use instrumental variables to correct for the endogeneity in the policy duration related to local social and economic factors. We find that policy durations have persistent impacts on the labor demand after restrictions are lifted. Longer SAHOs motivate management style transformation from people-oriented to operation-oriented by requiring more of operational and administrative skills and less of personality and people management skills to carry out standard workflows. SAHOs also change the focus of interpersonal skill demands from specific customer services to general communication such as social and writing skills. SAHOs more thoroughly affect occupations with partial work-from-home capacity. The evidence suggests SAHOs change management structure and communication in firms.
| S-EPMC9955647 | biostudies-literature
Project description:Considering the emergence of SARS-CoV-2 variants and low vaccine access and uptake, minimizing human interactions remains an effective strategy to mitigate the spread of SARS-CoV-2. Using a functional principal component analysis, we created a multidimensional mobility index (MI) using six metrics compiled by SafeGraph from all counties in Illinois, Ohio, Michigan and Indiana between January 1 to December 8, 2020. Changes in mobility were defined as a time-updated 7-day rolling average. Associations between our MI and COVID-19 cases were estimated using a quasi-Poisson hierarchical generalized additive model adjusted for population density and the COVID-19 Community Vulnerability Index. Individual mobility metrics varied significantly by counties and by calendar time. More than 50% of the variability in the data was explained by the first principal component by each state, indicating good dimension reduction. While an individual metric of mobility was not associated with surges of COVID-19, our MI was independently associated with COVID-19 cases in all four states given varying time-lags. Following the expiration of stay-at-home orders, a single metric of mobility was not sensitive enough to capture the complexity of human interactions. Monitoring mobility can be an important public health tool, however, it should be modelled as a multidimensional construct.
| S-EPMC9088135 | biostudies-literature
Project description: Not available
| S-EPMC9204539 | biostudies-literature
Project description:The COVID-19 pandemic, and resultant "Stay-at-Home" orders, may have impacted adults' positive health behaviors (sleep, physical activity) and negative health behaviors (alcohol consumption, drug use, and tobacco use). The purpose of this study was to investigate how these health behaviors changed (increased/improved or decreased/worsened) at the early stages of the pandemic, what participant characteristics were associated with health behavior changes, and why these behavioral changes may have occurred. A convenience sample of 1809 adults residing in the United States completed a 15-min self-report questionnaire in April and May 2020. Multinomial logistic regressions and descriptive statistics were used to evaluate how, for whom, and why these health behaviors changed. Participants were primarily female (67.4%), aged 35-49 years (39.8%), college graduates (83.3%), non-tobacco users (74.7%), and had previously used marijuana (48.6%). Overall, participants primarily reported a decrease in physical activity, while sleep and all of the negative health behaviors remained the same. Changes in negative health behaviors were related (p < 0.05) to sex, age, parental status, educational status, job status, BMI, and depression scores. Changes in positive health behaviors were related (p < 0.05) to sex, parental status, job status, and depression scores. Having more time available during the pandemic was the most commonly cited reason for changing health behaviors (negative and positive). Public health efforts should address the potential for long-term health consequences due to behavior change during COVID-19.
| S-EPMC7504386 | biostudies-literature
Project description:Sleep health has multiple dimensions including duration, regularity, timing, and quality [1-4]. The Coronavirus 2019 (COVID-19) outbreak led to Stay-at-Home orders and Social Distancing Requirements in countries throughout the world to limit the spread of COVID-19. We investigated sleep behaviors prior to and during Stay-at-Home orders in 139 university students (aged 22.2 ± 1.7 years old [±SD]) while respectively taking the same classes in-person and remotely. During Stay-at-Home, nightly time in bed devoted to sleep (TIB, a proxy for sleep duration with regard to public health recommendations [5]) increased by ∼30 min during weekdays and by ∼24 mins on weekends and regularity of sleep timing improved by ∼12 min. Sleep timing became later by ∼50 min during weekdays and ∼25 min on weekends, and thus the difference between weekend and weekday sleep timing decreased - hence reducing the amount of social jetlag [6,7]. Further, we find individual differences in the change of TIB devoted to sleep such that students with shorter TIB at baseline before the first COVID-19 cases emerged locally had larger increases in weekday and weekend TIB during Stay-at-Home. The percentage of participants that reported 7 h or more sleep per night, the minimum recommended sleep duration for adults to maintain health [5] - including immune health - increased from 84% to 92% for weekdays during Stay-at-Home versus baseline. Understanding the factors underlying such changes in sleep health behaviors could help inform public health recommendations with the goal of improving sleep health during and following the Stay-at-Home orders of the COVID-19 pandemic.
| S-EPMC7284257 | biostudies-literature
Project description:BackgroundIt is unclear how Stay-at-Home Orders (SHO) of the COVID-19 pandemic impacted the welfare of children and rates of non-accidental trauma (NAT). We hypothesized that NAT would initially decrease during the SHO as children did not have access to mandatory reporters, and then increase as physicians' offices and schools reopened.MethodsA multicenter study evaluating patients <18 years with ICD-10 Diagnosis and/or External Cause of Injury codes meeting criteria for NAT. "Historical" controls from an averaged period of March-September 2016-2019 were compared to patients injured March-September 2020, after the implementation of SHO ("COVID" cohort). An interrupted time series analysis was utilized to evaluate the effects of SHO implementation.ResultsNine Level I pediatric trauma centers contributed 2064 patients meeting NAT criteria. During initial SHO, NAT rates dropped below what was expected based on historical trends; however, thereafter the rate increased above the expected. The COVID cohort experienced a significant increase in the proportion of NAT patients age ≥5 years, minority children, and least resourced as determined by social vulnerability index (SVI).ConclusionsThe COVID-19 pandemic affected the presentation of children with NAT to the hospital. In times of public health crisis, maintaining systems of protection for children remain essential.Level of evidenceIII.
| S-EPMC8842346 | biostudies-literature
Project description:In this retrospective cohort analysis of Colorado birth certificate records from April to December 2015-2020, we demonstrate that Colorado birthing individuals experienced lower adjusted odds of preterm birth after issuance of coronavirus-19 "stay-at-home" orders. However, this positive birth outcome was experienced only by non-Hispanic white and Hispanic mothers.
| S-EPMC8552580 | biostudies-literature