Dataset Information

Associations of Stay-at-Home Order Enforcement With COVID-19 Population Outcomes: An Interstate Statistical Analysis.

ABSTRACT: In the United States, state governors initially enacted coronavirus diseases 2019 (COVID-19)-mitigation policies with limited epidemiologic data. One prevailing legislative approach, from March to May 2020, was the implementation of "stay-at-home" (SAH) executive orders. Although social distancing was encouraged, SAH orders varied between states, and the associations between potential legal prosecution and COVID-19 outcomes are currently unknown. Here, we provide empirical evidence on how executive enforcement of movement restrictions may influence population health during an infectious disease outbreak. A generalized linear model with negative binomial regression family compared COVID-19 outcomes in states with law-enforceable stay-at-home (eSAH) orders versus those with unenforceable or no SAH orders (uSAH), controlling for demographic factors, socioeconomic influences, health comorbidities, and social distancing. COVID-19 incidence was less by 1.22 cases per day per capita in eSAH states compared with uSAH states (coefficient = -1.22, 95% confidence interval (CI): -1.83, -0.61; P < 0.001), and each subsequent day without an eSAH order was associated with a 0.03 incidence increase (coefficient = 0.03, 95% CI: 0.03, 0.04; P < 0.001). Daily mortality was 1.96 less for eSAH states per capita (coefficient = -1.96, 95% CI: -3.25, -0.68; P = 0.004). Our findings suggest allowing the enforcement of public health violations, compared with community education alone, is predictive of improved COVID-19 outcomes.

SUBMITTER: Huntley KS

PROVIDER: S-EPMC8780467 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations of Stay-at-Home Order Enforcement With COVID-19 Population Outcomes: An Interstate Statistical Analysis.

Huntley Kyle S KS Wahood Waseem W Mintz Joel J Raine Samuel S Hardigan Patrick P Haffizulla Farzanna F

American journal of epidemiology 20220301 4

In the United States, state governors initially enacted coronavirus diseases 2019 (COVID-19)-mitigation policies with limited epidemiologic data. One prevailing legislative approach, from March to May 2020, was the implementation of "stay-at-home" (SAH) executive orders. Although social distancing was encouraged, SAH orders varied between states, and the associations between potential legal prosecution and COVID-19 outcomes are currently unknown. Here, we provide empirical evidence on how execut ...[more]

PMID: 34729584

Similar Datasets

Project description:IntroductionStay-at-home orders during the COVID-19 pandemic decreased population mobility to reduce SARS-CoV-2 infection rates. We empirically tested the hypothesis that this public health measure was associated with a higher likelihood of opioid- and stimulant-involved deaths occurring in homes located in Cook County, Illinois.MethodsThe stay-at-home period was from March 21, 2020 to May 30, 2020. We analyzed overdose data from the Cook County Medical Examiner's Office using a death location description from case investigations categorized as home, medical, motel, scene, and other. Two groups of decedents were defined as either having an opioid or stimulant listed in the primary cause of death field. We modeled a weekly time series to detect changes in deaths (number) and trends during segmented time periods. Chi-square or Fisher's exact and adjusted logistic regression was used for testing the differences between the stay-at-home and a 13-week preceding period.ResultsThere were 4,169 and 2,012 opioid- and stimulant-involved deaths, respectively, from 2018 to 2020. Both groups were demographically similar: 75% male, 52% White, and aged 45 years (mean). In the 13 weeks before stay-at-home orders, 51% of opioid-involved deaths occurred in homes, which increased to 59% (p<0.0001) during the 10 weeks of the order and decreased back to 51% in the 18 weeks after the order expired. For stimulant-involved deaths, 51% were residential immediately before the orders, with a nonsignificant increase to 52% during the stay-at-home period. Before the pandemic, there were 20 deaths/week, increasing to 37 deaths/week (p<0.0001) during stay-at-home enactment. Deaths involving fentanyl among the opioid-involved group increased from 76% to 89%, whereas those involving heroin decreased from 55% to 37%. The adjusted OR for opioid-involved fatal overdoses occurring at home during this period compared with that occurring the 13 weeks before was 1.37 (95% CI=1.05, 1.79).ConclusionsThe likelihood of a death occurring at home, especially for people using opioids, increased during the stay-at-home order period. Findings have implications for mitigating overdose risks during social isolation.

Project description:ImportanceDomestic violence (DV) has become a growing public health concern during the COVID-19 pandemic because individuals may be sheltering in place with abusers and facing mounting economic and health-related stresses.ObjectiveTo analyze associations of the 2020 COVID-19 stay-at-home (SH) order with DV police reporting and resource availability, including differences by community area racial/ethnic composition.Design, setting, and participantsThis longitudinal cohort study assessed DV police reports (January-June 2020) obtained from the Chicago, Illinois, Police Department and DV resource availability (March and August 2020) obtained from the NowPow community resource database, both for 77 community areas in Chicago. Data were analyzed July through December 2020.ExposuresThe COVID-19 SH order effective March 21, 2020.Main outcomes and measuresMonthly rates of DV police reports and DV resource availability per 100 000 persons.ResultsOf 77 community areas in Chicago, 28 (36.4%) were majority Black, 19 (24.7%) majority Hispanic/Latinx, 18 (23.4%) majority White, and 12 (15.6%) a different or no majority race/ethnicity, representing an estimated population of 2 718 555 individuals. For each community area, the SH order was associated with a decrease in the rate of DV police reports by 21.8 (95% CI, -30.48 to -13.07) crimes per 100 000 persons per month relative to the same months in 2019. Compared with White majority community areas, Black majority areas had a decrease in the rate of DV police reports by 40.8 (95% CI, -62.93 to -18.75) crimes per 100 000 persons per month relative to the same months in 2019. The SH order was also associated with a decrease in DV resource availability at a rate of 5.1 (95% CI, -7.55 to -2.67) resources per 100 000 persons, with the largest decreases for mental health (-4.3 [95% CI, -5.97 to -2.66] resources per 100 000 persons) and personal safety (-2.4 [95% CI, -4.40 to -0.41] resources per 100 000 persons). The Black majority south side of Chicago had a larger decrease in resource availability (-6.7 [95% CI, -12.92 to -0.46] resources per 100 000 persons) than the White majority north side.Conclusions and relevanceIn this longitudinal cohort study, the rate of DV police reports decreased after the SH order was implemented in Chicago. This decrease was largely observed in Black majority communities, whereas there was no significant change in White majority communities. These findings may reflect decreased DV incidence but may also reflect an exacerbation of underreporting. In addition, DV resource availability decreased disproportionately on the predominantly Black south side of Chicago.

Project description:BackgroundDespite the trend of rising Emergency Department (ED) visits over the past decade, researchers have observed drastic declines in number of ED visits due to the COVID-19 pandemic. The purpose of the current study was to examine the impact of the COVID-19 pandemic and governor mandated Stay at Home Order on ED super utilizers.MethodsThis was a retrospective chart review of patients presenting to the 12 emergency departments of the Franciscan Mission of Our Lady Hospital System in Louisiana between January 1, 2018 and December 31, 2020. Patients who were 18 years of age or older and had four ED visits within a one-year period (2018, 2019, or 2020) were classified as super-utilizers. We examined number and category of visits for the baseline period (January 2018 - March 2020), the governor's Stay at Home Order, and the subsequent Reopening Phases through December 31, 2020.ResultsThe number of visits by super utilizers decreased by over 16% when the Stay at Home Order was issued. The average number of visits per week rose from 1010.63 during the Stay at Home Order to 1198.09 after the Stay at Home Order was lifted, but they did not return to Pre-COVID levels of approximately 1400 visits per week in 2018 and 2019. When categories of visits were examined, this trend was found for emergent visits (p < 0.001) and visits related to injuries (p < 0.001). Non-emergent visits declined during the Stay at Home Order compared to the baseline period (p < 0.001), and did not increase significantly during reopening compared to the Stay at Home Order (p = 0.87). There were no changes in number of visits for psychiatric purposes, alcohol use, or drug use during the pandemic.ConclusionsSignificant declines in emergent visits raise concerns that individuals who needed ED treatment did not seek it due to COVID-19. However, the finding that super utilizers with non-emergent visits continued to visit the ED less after the Stay at Home Order was lifted raises questions for future research that may inform policy and interventions for inappropriate ED use.

Project description:SARS-CoV-2 is primarily transmitted through person-to-person contacts. It is important to collect information on age-specific contact patterns because SARS-CoV-2 susceptibility, transmission, and morbidity vary by age. To reduce the risk of infection, social distancing measures have been implemented. Social contact data, which identify who has contact with whom especially by age and place are needed to identify high-risk groups and serve to inform the design of non-pharmaceutical interventions. We estimated and used negative binomial regression to compare the number of daily contacts during the first round (April-May 2020) of the Minnesota Social Contact Study, based on respondent's age, gender, race/ethnicity, region, and other demographic characteristics. We used information on the age and location of contacts to generate age-structured contact matrices. Finally, we compared the age-structured contact matrices during the stay-at-home order to pre-pandemic matrices. During the state-wide stay-home order, the mean daily number of contacts was 5.7. We found significant variation in contacts by age, gender, race, and region. Adults between 40 and 50 years had the highest number of contacts. The way race/ethnicity was coded influenced patterns between groups. Respondents living in Black households (which includes many White respondents living in inter-racial households with black family members) had 2.7 more contacts than respondents in White households; we did not find this same pattern when we focused on individual's reported race/ethnicity. Asian or Pacific Islander respondents or in API households had approximately the same number of contacts as respondents in White households. Respondents in Hispanic households had approximately two fewer contacts compared to White households, likewise Hispanic respondents had three fewer contacts than White respondents. Most contacts were with other individuals in the same age group. Compared to the pre-pandemic period, the biggest declines occurred in contacts between children, and contacts between those over 60 with those below 60.

Project description:ObjectiveLittle is known about the relationship between Stay-At-Home orders issued by state governments due to the COVID-19 pandemic and their impacts on motor vehicle-related injuries. The purpose of this study was to determine whether the presence of a Stay-At-Home order was associated with lower rates of motor vehicle-related injuries requiring emergency medical treatment among population sub-groups in West Virginia (i.e., males, females, 0-17, 18-25, 26-45, 46-65, ≥66 years old).MethodsA Stay-At-Home order was in effect in West Virginia from March 23-May 4, 2020. Counts of individuals who incurred motor-vehicle-related injuries that required emergency medical treatment were obtained from the Centers for Disease Control and Prevention's National Syndromic Surveillance Program from January 1 thru September 6 of 2019 and 2020. Counts were obtained by week-year and by population sub-group in West Virginia. The presence of the Stay-At-Home order was binary coded by week. Negative binomial regression was used to assess the relationship between the presence of a Stay-At-Home and injury rates. 2019 population sub-group estimates were obtained from the United States Census Bureau and used as offsets in the models. Models were also adjusted for year and vehicle miles traveled by week-year.ResultsThere were 23,418 motor-vehicle related injuries during the study period. The presence of the Stay-At-Home order was associated with 44% less injuries overall [Incident Rate Ratio (IRR)=0.56, 95% CI 0.48, 0.64]. Females experienced fewer injuries than males (IRR = 0.49 vs 0.63, respectively) and the number of injuries decreased with age (p-value 0.031) when comparing time periods when the Stay-At-Home was in effect compared to times when it was not.ConclusionsWest Virginia's Stay-At-Home order was associated with lower motor-vehicle injury rates requiring medical treatment across all population sub-groups. Most population sub-groups likely altered their travel behaviors which resulted in lower motor-vehicle injury rates. These findings may inform future policies that impose emergency travel restrictions in populations.

Project description:BackgroundThe COVID-19 pandemic has had severe negative effects on populations worldwide. The seriousness of the pandemic necessitated local and even national lockdowns. In Singapore a national lockdown with aStay-at-Home Order (SHO) lasted for over 7 weeks. The impact of the pandemic and of the long SHO period on neuropsychophysiological functioning remains unknown. Studies prior to the pandemic highlighted the beneficial role of nature exposure on mental health and well-being, although this has not yet been explored in the post-pandemic world. This is the first study to investigate the longitudinal changes in (1) brain frontal alpha asymmetry (FAA; neuroelectric marker of approach-related motivation), (2) depressive mood and (3) symptoms, and (4) emotional response to videos of various urban spaces from before COVID-19 to immediately after the SHO in Singapore was over. Finally, we examined whether higher vs lower exposure to nature during the SHO moderated changes over time.MethodsThe sample included 25 healthy adult Singaporeans (56% female, Mage = 40.4 y, SD = 17.8), who attended two electroencephalography (EEG) lab sessions, within a year before the COVID-19 pandemic (T1) and immediately following the SHO (T2). The participants viewed 9 fixed-frame videos, filmed before the pandemic, from 3 urban public spaces (Busy Downtown, Residential Green, Lush Garden) on the roll-up screen. They rated their emotional response (arousal, valence) after each video and completed Becks Depression Inventory-II (BDI-II) as a measure of depressive symptoms, Profile of Mood Scale (POMS), as a measure of momentary mood, and self-reported the frequency and duration of their nature visits during the SHO.ResultsLinear mixed models were fitted to examine changes over time, and effect moderation by amount of nature exposure during the SHO. The results showed decrease in FAA (p < 0.001), increase in depressive symptoms (p = 0.046), and a trend for marginal increase in momentary mood disturbance (p = 0.097) after the SHO. Importantly, people with high nature exposure during SHO had greater decrease in FAA over time (p = 0.005) than those with low nature exposure, FAA scores decreased the most for Residential Green. Valence and Arousal did not change over time, but Arousal towards Busy Downtown decreased among high nature exposure individuals (p = 0.002).ConclusionsPost SHO, brain activity and responsiveness to landscapes changed, and showed a general reduction in positive emotions and increased depressive symptoms among participants. The higher nature exposure during the SHO did not help mitigate this depressive symptoms, as previous research would suggest. This can be due to the modified quality of nature exposure during lockdown, which highlights the importance of high quality nature experience in cities and the provision of diversified visual exposures. Potential neuropsychophysiological consequences of SHO should be considered by policy makers in the post-COVID-19 world.

Dataset Information

Associations of Stay-at-Home Order Enforcement With COVID-19 Population Outcomes: An Interstate Statistical Analysis.

Publications

Associations of Stay-at-Home Order Enforcement With COVID-19 Population Outcomes: An Interstate Statistical Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets