Condition-Dependent and Dynamic Impacts of Indoor Masking Policies for COVID-19 Mitigation: A Nationwide, Interrupted Time-Series Analysis.

BACKGROUND: The effectiveness and sustainability of masking policies as a pandemic control measure remain uncertain. Our aim was to evaluate different masking policy types on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence and to identify factors and conditions impacting effectiveness. METHODS: Nationwide, retrospective cohort study of US counties from 4/4/2020-28/6/2021. Policy impacts were estimated using interrupted time-series models with the masking policy change date (eg, recommended-to-required, no-recommendation-to-recommended, no-recommendation-to-required) modeled as the interruption. The primary outcome was change in SARS-CoV-2 incidence rate during the 12 weeks after the policy change; results were stratified by coronavirus disease 2019 (COVID-19) risk level. A secondary analysis was completed using adult vaccine availability as the policy change. RESULTS: In total, N = 2954 counties were included (2304 recommended-to-required, 535 no-recommendation-to-recommended, 115 no-recommendation-to-required). Overall, indoor mask mandates were associated with 1.96 fewer cases/100 000/week (cumulative reduction of 23.52/100 000 residents during the 12 weeks after policy change). Reductions were driven by communities with critical and extreme COVID-19 risk, where masking mandated policies were associated with an absolute reduction of 5 to 13.2 cases/100 000 residents/week (cumulative reduction of 60 to 158 cases/100 000 residents over 12 weeks). Impacts in low- and moderate-risk counties were minimal (<1 case/100 000 residents/week). After vaccine availability, mask mandates were not associated with significant reductions at any risk level. CONCLUSIONS: Masking policy had the greatest impact when COVID-19 risk was high and vaccine availability was low. When transmission risk decreases or vaccine availability increases, the impact was not significant regardless of mask policy type. Although often modeled as having a static impact, masking policy effectiveness may be dynamic and condition dependent.

Occurrences of Workplace Violence Related to the COVID-19 Pandemic, United States, March 2020 to August 2021.

As businesses dealt with an increasingly anxious public during the COVID-19 pandemic and were frequently tasked with enforcing various COVID-19 prevention policies such as mask mandates, workplace violence and harassment (WPV) emerged as an increasing important issue affecting worker safety and health. Publicly available media reports were searched for WPV events related to the COVID-19 pandemic that occurred during 1 March 2020, and 31 August 2021, using Google News aggregator services scans with data abstraction and verification. The search found 408 unique WPV events related to COVID-19. Almost two-thirds involved mask disputes. Over half (57%) of the 408 events occurred in retail (38%) and food service (19%). We also conducted a comparison of events identified in this search to a similar study of media reports between March 2020 to October 2020 that used multiple search engines to identify WPV events. Despite similar conclusions, a one-to-one comparison of relevant data from these studies found only modest overlap in the incidents identified, suggesting the need to make improvements to future efforts to extract data from media reports. Prevention resources such as training and education for workers may help industries de-escalate or prevent similar WPV events in the future.

Relation of masking policy to COVID-19 positivity rate in Texas school districts.

Understanding of the impact of masking in schools to prevent COVID transmission is limited since much of the data considers factors in addition to masking. We collected data from 30 school districts in Texas, contrasting districts where masks were mandated with those where masks were optional. Results showed that mandatory masking was associated with a reduction in COVID-19 positivity among student populations, but not in staff populations.

Mask-wearing intentions on airplanes during COVID-19 - Application of theory of planned behavior model.

The COVID-19 pandemic has devastated the air transport industry, forcing airlines to take measures to ensure the safety of passengers and crewmembers. Among the many protective measures, mask mandate onboard the airplane is an important one, but travelers' mask-wearing intentions during flight remain uninvestigated especially in the US where mask use is a topic of on-going debate. This study focused on the mask use of airline passengers when they fly during COVID-19, using the theory of planned behavior (TPB) model to examine the relationship between nine predicting factors and the mask-wearing intention in the aircraft cabin. A survey instrument was developed to collect data from 1124 air travelers on Amazon Mechanical Turk (MTurk), and the data was statistically analyzed using structural equation modeling and logistic regression. Results showed that attitude, descriptive norms, risk avoidance, and information seeking significantly influenced the travelers' intention to wear a mask during flight in COVID-19. Group analysis further indicated that the four factors influenced mask-wearing intentions differently on young, middle-aged, and senior travelers. It was also found that demographic and travel characteristics including age, education, income, and travel frequency can be used to predict if the airline passenger was willing to pay a large amount to switch to airlines that adopted different mask policies during COVID-19. The findings of this study fill the research gap of air travelers' intentions to wear a mask when flying during a global pandemic and provide recommendations for mask-wearing policies to help the air transport industry recover from COVID-19.

A strict mask policy for hospital staff effectively prevents nosocomial influenza infections and mortality: monocentric data from five consecutive influenza seasons.

BACKGROUND: Influenza infections acquired in hospital show increased mortality, especially in elderly patients with risk factors. Nevertheless, vaccination rates are low among both high-risk patients and healthcare workers (HCWs). AIM: To more effectively prevent influenza infections in the hospital during the influenza season, a strict mouth-nose protection (MNP) requirement was introduced for all staff throughout the shift on the affected wards as an intervention and its effect on nosocomial infection rates was studied. METHODS: The present data were obtained in a retrospective, monocentric analysis over a period of four consecutive influenza seasons from 2015 to 2019. MNP for all staff during the whole shift as an intervention was introduced in 2017 and for the following seasons if at least three influenza patients were in the ward at the same time. Data from hospitalized influenza patients before and after intervention were compared with regard to nosocomial incidences and mortality. FINDINGS: In the years with strict mandatory MNP (2017-2019), the nosocomial influenza incidence fell nearly 50% (odds ratio: 0.40; 95% confidence interval: 0.28-0.56; P < 0.001) accompanied by a significant reduction in nosocomial mortality by 85% (0.15; 0.02-0.70; P = 0.007). The infectious pressure indicated by influenza incidences and patient-days at risk were comparable before and after intervention, as was the low rate of vaccine uptake by nurses. CONCLUSION: Mandatory MNP for HCWs effectively protects patients from nosocomial influenza infections and mortality.

The Impact of State Mask-Wearing Requirements on the Growth of Coronavirus Disease 2019 Cases, Hospitalizations, and Deaths in the United States.

In ecologic analyses of US states, piecewise multivariable models showed lower case-rate slopes after implementation of mask requirements: -1.0% (95% confidence interval, -1.34% to -.57%) and -0.44% (-.86% to -.03%) per 100 000 per day in early- and late-adopter states, respectively, compared with never-adopter states. Our findings support statewide mask requirements to mitigate transmission of coronavirus disease 2019.