Why use MaskCount™?
MaskCount™ is designed to make it easy for anyone to discreetly collect valuable, anonymous data about mask wearing behavior. MaskCount™ is not about reporting good or bad behavior. It is about generating scientific evidence that may help us understand how to reduce the spread of COVID-19. You can be a part of that.
“Because mask wearing by infected people can reduce transmission risk, and because of the high proportion of asymptomatic infected individuals and transmissions, there appears to be a strong case for the effectiveness of widespread use of face masks in reducing the spread of COVID-19. However, there is no direct evidence thus far on the magnitude of such effects, especially at a population level.”
Want to read up on what’s been studied so far?
- Community Use Of Face Masks And COVID-19: Evidence From A Natural Experiment Of State Mandates In The US
– Wei Lyu and George L. Wehby, Health Affairs
- Face Masks Against COVID-19: An Evidence Review
– Howard, et al., Proceedings of the National Academy of Science of the United States of America
- What is the efficacy of standard face masks compared to respirator masks in preventing COVID-type respiratory illnesses in primary care staff?
– Greenhalgh and Chan, et al., The Centre for Evidence-Based Medicine at Oxford University
- Effectiveness of Cloth Masks for Protection Against Severe Acute Respiratory Syndrome Coronavirus 2
– Chughtai, Seale and Macintyre, CDC, Emerging Infectious Diseases
- Face coverings for the public: Laying straw men to rest
– Trisha Greenhalgh, MD, Journal of Evaluation in Clinical Practice
- Face mask use in the general population and optimal resource allocation during the COVID-19 pandemic
– Worby & Hsiao-Han Chang, Nature Communications
- Peripheral Oxygen Saturation in Older Persons Wearing Nonmedical Face Masks in Community Settings
– Chan, Li & Hirsh, JAMA