The Association Between State-Issued Mask Mandates and County COVID-19 Hospitalization Rates.

CONTEXT: Mask mandates are one form of nonpharmaceutical intervention that has been utilized to combat the spread of SARS-CoV2, the virus that causes COVID-19. OBJECTIVE: This study examines the association between state-issued mask mandates and changes in county-level and hospital referral region (HRR)-level COVID-19 hospitalizations across the United States. DESIGN: Difference-in-difference and event study models were estimated to examine the association between state-issued mask mandates and COVID-19 hospitalization outcomes. PARTICIPANTS: All analyses were conducted with US county-level data. INTERVENTIONS: State-issued mask mandates. County-level data on the mandates were collected from executive orders identified on state government Web sites from April 1, 2020, to December 31, 2020. MAIN OUTCOME MEASURES: Daily county-level (and HRR-level) estimates of inpatient beds occupied by patients with confirmed or suspected COVID-19 were collected by the US Department of Health and Human Services. RESULTS: The state issuing of mask mandates was associated with an average of 3.6 fewer daily COVID-19 hospitalizations per 100 000 people (P < .05) and a 1.2-percentage-point decrease in the percentage of county beds occupied with COVID-19 patients (P < .05) within 70 days of taking effect. Event study results suggest that this association increased the longer mask mandates were in effect. In addition, the results were robust to analyses conducted at the HRR level. CONCLUSIONS: This study demonstrated that state-issued mask mandates were associated with reduction in COVID-19 hospitalizations across the United States during the earlier portion of the pandemic. As new variants of the virus cause spikes in COVID-19 cases, reimposing mask mandates in indoor and congested public areas, as part of a layered approach to community mitigation, may reduce the spread of COVID-19 and lessen the burden on our health care system.

Assessing Determinants of COVID-19 Vaccine Hesitancy in Nevada.

In December 2020, we conducted a telephone survey to determine what factors are connected to COVID-19 vaccine hesitancy among adults in Nevada. The survey was based on factors identified in other studies, such as demographic variables (age, race, ethnicity, gender, household income, urbanicity, educational attainment), health status, previous COVID-19 infections, social media engagement, adherence to social distancing guidelines, beliefs about COVID-19, and political ideology identifications. Using a proportional odds model, we compared vaccine hesitancy levels to determine the odds of being more likely versus unlikely to get the COVID-19 vaccine. Of 1,000 people surveyed, 30.4% exhibited vaccine hesitancy. Findings showed that adults with significantly lower odds of vaccine hesitancy included those who were male, older, worried about COVID-19 infection or its community effects, adhered to social distancing, and reported higher incomes. Adults who identified as African American or Black or as multiple or "other" races exhibited significantly higher odds of vaccine hesitancy than White adults. Adults self-identifying as conservative had significantly higher odds of vaccine hesitancy than others. Vaccine hesitancy levels suggest possible hurdles to addressing the COVID-19 pandemic in a state with high visitor volumes and demographics that resemble the country's future as minority White, highlighting possible lessons for future pandemics. Most measures of COVID-19 worry were not significantly associated with vaccine hesitancy, suggesting that vaccination efforts should focus on other motivators. COVID-19 vaccination efforts should also directly encourage uptake by younger and middle-aged adults who are female, African American, have lower incomes, and identify as conservative.

Association of State-Issued Mask Mandates and Allowing On-Premises Restaurant Dining with County-Level COVID-19 Case and Death Growth Rates - United States, March 1-December 31, 2020.

CDC recommends a combination of evidence-based strategies to reduce transmission of SARS-CoV-2, the virus that causes COVID-19 (1). Because the virus is transmitted predominantly by inhaling respiratory droplets from infected persons, universal mask use can help reduce transmission (1). Starting in April, 39 states and the District of Columbia (DC) issued mask mandates in 2020. Reducing person-to-person interactions by avoiding nonessential shared spaces, such as restaurants, where interactions are typically unmasked and physical distancing (≥6 ft) is difficult to maintain, can also decrease transmission (2). In March and April 2020, 49 states and DC prohibited any on-premises dining at restaurants, but by mid-June, all states and DC had lifted these restrictions. To examine the association of state-issued mask mandates and allowing on-premises restaurant dining with COVID-19 cases and deaths during March 1-December 31, 2020, county-level data on mask mandates and restaurant reopenings were compared with county-level changes in COVID-19 case and death growth rates relative to the mandate implementation and reopening dates. Mask mandates were associated with decreases in daily COVID-19 case and death growth rates 1-20, 21-40, 41-60, 61-80, and 81-100 days after implementation. Allowing any on-premises dining at restaurants was associated with increases in daily COVID-19 case growth rates 41-60, 61-80, and 81-100 days after reopening, and increases in daily COVID-19 death growth rates 61-80 and 81-100 days after reopening. Implementing mask mandates was associated with reduced SARS-CoV-2 transmission, whereas reopening restaurants for on-premises dining was associated with increased transmission. Policies that require universal mask use and restrict any on-premises restaurant dining are important components of a comprehensive strategy to reduce exposure to and transmission of SARS-CoV-2 (1). Such efforts are increasingly important given the emergence of highly transmissible SARS-CoV-2 variants in the United States (3,4).

Differences in rapid increases in county-level COVID-19 incidence by implementation of statewide closures and mask mandates - United States, June 1-September 30, 2020.

BACKGROUND AND OBJECTIVE: Community mitigation strategies could help reduce COVID-19 incidence, but there are few studies that explore associations nationally and by urbanicity. In a national county-level analysis, we examined the probability of being identified as a county with rapidly increasing COVID-19 incidence (rapid riser identification) during the summer of 2020 by implementation of mitigation policies prior to the summer, overall and by urbanicity. METHODS: We analyzed county-level data on rapid riser identification during June 1-September 30, 2020 and statewide closures and statewide mask mandates starting March 19 (obtained from state government websites). Poisson regression models with robust standard error estimation were used to examine differences in the probability of rapid riser identification by implementation of mitigation policies (P-value< .05); associations were adjusted for county population size. RESULTS: Counties in states that closed for 0-59 days were more likely to become a rapid riser county than those that closed for >59 days, particularly in nonmetropolitan areas. The probability of becoming a rapid riser county was 43% lower among counties that had statewide mask mandates at reopening (adjusted prevalence ratio = 0.57; 95% confidence intervals = 0.51-0.63); when stratified by urbanicity, associations were more pronounced in nonmetropolitan areas. CONCLUSIONS: These results underscore the potential value of community mitigation strategies in limiting the COVID-19 spread, especially in nonmetropolitan areas.

Decline in COVID-19 Hospitalization Growth Rates Associated with Statewide Mask Mandates - 10 States, March-October 2020.

SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is transmitted predominantly by respiratory droplets generated when infected persons cough, sneeze, spit, sing, talk, or breathe. CDC recommends community use of face masks to prevent transmission of SARS-CoV-2 (1). As of October 22, 2020, statewide mask mandates were in effect in 33 states and the District of Columbia (2). This study examined whether implementation of statewide mask mandates was associated with COVID-19-associated hospitalization growth rates among different age groups in 10 sites participating in the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) in states that issued statewide mask mandates during March 1-October 17, 2020. Regression analysis demonstrated that weekly hospitalization growth rates declined by 2.9 percentage points (95% confidence interval [CI] = 0.3-5.5) among adults aged 40-64 years during the first 2 weeks after implementing statewide mask mandates. After mask mandates had been implemented for ≥3 weeks, hospitalization growth rates declined by 5.5 percentage points among persons aged 18-39 years (95% CI = 0.6-10.4) and those aged 40-64 years (95% CI = 0.8-10.2). Statewide mask mandates might be associated with reductions in SARS-CoV-2 transmission and might contribute to reductions in COVID-19 hospitalization growth rates, compared with growth rates during <4 weeks before implementation of the mandate and the implementation week. Mask-wearing is a component of a multipronged strategy to decrease exposure to and transmission of SARS-CoV-2 and reduce strain on the health care system, with likely direct effects on COVID-19 morbidity and associated mortality.

Changes in Depression and Physical Activity Among College Students on a Diverse Campus After a COVID-19 Stay-at-Home Order.

The numerous negative health impacts of COVID-19, which include expected changes to psychiatric illness and physical activity (PA), are disproportionately distributed in the United States. Mental illnesses and physical inactivity are prevalent among U.S. college students. This study examined whether there was a change in minutes of PA and depression scores after a stay-at-home order and examined predictors of these changes. An online survey was sent to all undergraduate and graduate students attending a large, diverse university via an electronic newsletter. The survey requested information about demographic and academic data, cardiorespiratory fitness, and depression symptoms. Paired t-tests and logistic regression were employed. Our sample (n = 194) was predominantly female (73%), young (mean age of 25), not a sexual minority (82%), and had a mean 3.4 GPA. Students reported worse depression scores (p < 0.01) and fewer minutes of PA (p = 0.01) after the stay-at-home order. There was a small but significant (p = 0.04) correlation between changes in total minutes of PA and depression scores. Senior (p = 0.05) and Hispanic (p = 0.03) students were less likely to report worsening depression scores than freshmen and white students, respectively. Asian students were significantly more likely than white students to report decreased PA. This study suggests that COVID-19 and its consequences may be contributing to reduced PA and greater depression symptoms in college students and that sub-groups have been affected differently. Targeted interventions to promote PA and support mental health may bolster the ability for resilience of college students.