In less than a week, we’ve sent
20,650 medical face masks to nurses and doctors.
We need your help to buy more.
Many nurses and doctors are our frontline and last lifeline against the battle with COVID.
Can we count on you to support them?
A makeshift morgue sits outside Bellevue Hospital in Manhattan on Wednesday.(Luiz C. Ribeiro/for New York Daily News)

1 in 5
It's estimated that around 1 in 5 COVID-19 cases will be healthcare workers. Places like Minnesota are already reporting that happening.
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40-70% of Americans will fall seriously ill or die from COVID-19. That's 214 million citizens -- young, old, healthy or ill.
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Unlucky for us, nurses and doctors are not immune to this novel human virus. There's no treatment or cure. Nearly 200 doctors and nurses have died in two weeks. Our human heroes on the front line are overworked and underprotected. Many have run out of face masks or started re-suing them. Our frontline is falling apart, fast.
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You can help. Together, we can fight this. For $100, 4 doctors and nurses can receive one week’s worth of face masks

Nurses and physicians have taken to working 48-hour shifts in the same surgical mask in order to save as many lives as possible. (Picture: AsiaWire/@rojaklah88)

In a time of "social distancing," "shelter in place," national emergency, pandemic, lost income, and talks of recession -- your local community health centers need you more than ever.
Help us buy 100,000 additional masks to support our front lines now.
Famed pediatric neurosurgeon Dr. Jim Goodrich died on 3/30 in NY from COVID-19. (Picture: Krisanne Johnson/Verbatim for CNN). As of writing this on 3/31 12:03 PM, NY has 75,795 cases vs. China's total 81,518 cases.
Our Approach


We only send masks and supplies that are are FDA guidelines-adherent, hospital-approved, and backed by healthcare providers.

As of 3/30 our datasets are merging with ProjectN95, PPECoalition, and GetUsPPE to create a centralized, standardized repository for clinicians, researchers, and public health officials. We're mapping shortage hotspots based on requests from the front lines and sending reinforcements before it's too late.
