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Apr 14, 2021 · We used state-level data on mask wearing policy for the general public and on proportion of residents who stated they always wear masks in public. For all 50 states and the District of Columbia (DC), these data were abstracted by month for April ─ September 2020 to measure their impact on COVID-19 rates in the subsequent month (May ...
- Charlie B. Fischer, Nedghie Adrien, Jeremiah J. Silguero, Julianne J. Hopper, Abir I. Chowdhury, Mar...
- 2021
- The Global Covid-19 Trends and Impact Survey
- Study Population
- Outcome Variable Definition
- Predictor Measurement
- Statistical Analysis
The CTIS is an ongoing repeated daily cross-sectional survey conducted by the University of Maryland (Global) and Carnegie Mellon University (US) in partnership with Facebook, Inc. It asks various questions related to symptoms, testing, preventive behaviors, mental health, and more. The UMD Global CTIS was launched on April 23, 2020 in > 200 countr...
This analysis included adult participants who responded to the UMD Global CTIS from April 23rd, 2020 until October 31st, 2020. We did not include responses from the US Symptom Survey in this analysis, as the question on face mask usage was not incorporated into the US questionnaire until September 2020. Since some of the 200+ countries and territor...
Our outcome was face mask usage, based on the survey question: “In the last 7 days, how often did you wear a mask when in public?” The response options were “All of the time”, “Most of the time”, “Some of the time”, “A little of the time”, “None of the time”, or “I have not been in public during the past 7 days”. We defined face mask usage as a bin...
We included several individual and country-level factors that could be associated with face mask usage based on a priori hypotheses and existing literature. Individual-level predictors included age, gender, standardized years of education, urbanicity (defined as living in a city versus town, village, or rural area), and the following reported socia...
In addition to examining descriptive statistics, a survey-weighted multivariable logistic regression model was used to formally assess whether individual and country-level factors were associated with mask-wearing. All statistical analyses were performed in R (version 4.0.3), using the R survey package (version 4.0) to account for the sampling desi...
- Elena Badillo-Goicoechea, Ting-Hsuan Chang, Esther Kim, Sarah LaRocca, Katherine Morris, Xiaoyi Deng...
- 2021
The median daily COVID-19 case rate between 15 June and 1 July 2020 was 243 per 100 000. The five counties with the highest percentages of mask wearing were in California, Virginia, and Florida (average IRR score = 0.42; Table 2 ). The average IRR score for the bottom five counties was 0.55, or more rural.
- 10.22605/RRH6596
- 2021/07
In early February 2020, the CDC recommended mask use for anyone exhibiting COVID-19–like symptoms to reduce the spread of respiratory droplets. 2 On April 3, 2020, following recognition that viral load is high just before and early in the course of COVID-19 disease, the agency expanded its recommendation, urging mask use by the general public.
- Lawrence O Gostin, I Glenn Cohen, Jeffrey P Koplan
- 2020
Dec 31, 2020 · Wearing masks is a CDC-recommended* approach to reduce the spread of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), by reducing the spread of respiratory droplets into the air when a person coughs, sneezes, or talks and by reducing the inhalation of these droplets by the wearer.
- Miriam E Van Dyke, Tia M Rogers, Eric Pevzner, Catherine L Satterwhite, Hina B Shah, Wyatt J Beckman...
- 2020
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Feb 25, 2021 · During March 22 – October 17, 2020, 10 sites participating in the COVID-19–Associated Hospitalization Surveillance Network in states with statewide mask mandates reported a decline in weekly COVID-19–associated hospitalization growth rates by up to 5.6 percentage points for adults aged 18–64 years after mandate implementation, compared with grow...
Apr 14, 2021 · Mean COVID-19 rates for states with at least 75% mask adherence in the preceding month was 109.26 per 100,000 compared to 249.99 per 100,000 for those with less adherence. Our analysis suggests high adherence to mask wearing could be a key factor in reducing the spread of COVID-19.
