Why people with diabetes are being hit so hard by Covid-19. Some of Mary-Elizabeth Patti’s patients with diabetes are in a bind.
Careful to practice social distancing, they tell her during telehealth visits they don’t feel safe exercising outdoors in their congested neighborhoods — though they know staying active and maintaining good blood sugar levels may be their best defense against severe Covid-19. “I’m always happy when patients say, yes, I’m not going out, I’m wearing a mask, I’m doing as much as I can. But it makes it harder for people to meet their fitness goal, which is such a critical element of overall health and metabolic health,” said Patti, an adult endocrinologist at Joslin Diabetes Center in Boston. “It underscores the health inequity problem,” she added: “Their exposures may be increased due to living in a densely populated neighborhood with multigenerational families [and] more essential workers who cannot work from home.” advertisement The numbers are alarming.
Data from the U.S. “We must not forget. New Analysis of COVID-19 Mortality Risk for Californians with Disabilities Under Age 65 - Disability Rights Education & Defense Fund. The coronavirus is mutating — does it matter? When COVID-19 spread around the globe this year, David Montefiori wondered how the deadly virus behind the pandemic might be changing as it passed from person to person.
Montefiori is a virologist who has spent much of his career studying how chance mutations in HIV help it to evade the immune system. The same thing might happen with SARS-CoV-2, he thought. In March, Montefiori, who directs an AIDS-vaccine research laboratory at Duke University in Durham, North Carolina, contacted Bette Korber, an expert in HIV evolution and a long-time collaborator. Korber, a computational biologist at the Los Alamos National Laboratory (LANL) in New Mexico, had already started scouring thousands of coronavirus genetic sequences for mutations that might have changed the virus’s properties as it made its way around the world. GDPR Support. - The Washington Post. Face mask study: Researchers determined which masks are the least effective.
That's why a group of researchers at Duke University created a simple technique to analyze the effectiveness of various types of masks which have become a critical component in stopping the spread of the virus.
The quest began when a professor at Duke's School of Medicine was assisting a local group buy masks in bulk to distribute to community members in need. The professor wanted to make sure the group purchased masks that were actually effective. In the study published Friday, researchers with Duke's physics department demonstrated the use of a simple method that uses a laser beam and cell phone to evaluate the efficiency of masks by studying the transmission of respiratory droplets during regular speech. "We use a black box, a laser, and a camera," Martin Fischer, one of the authors of the study, told CNN. "The laser beam is expanded vertically to form a thin sheet of light, which we shine through slits on the left and right of the box. " Low-cost measurement of facemask efficacy for filtering expelled droplets during speech.
Abstract Mandates for mask use in public during the recent COVID-19 pandemic, worsened by global shortage of commercial supplies, have led to widespread use of homemade masks and mask alternatives.
It is assumed that wearing such masks reduces the likelihood for an infected person to spread the disease, but many of these mask designs have not been tested in practice. We have demonstrated a simple optical measurement method to evaluate the efficacy of masks to reduce the transmission of respiratory droplets during regular speech. In proof-of-principle studies, we compared a variety of commonly available mask types and observed that some mask types approach the performance of standard surgical masks, while some mask alternatives, such as neck fleece or bandanas, offer very little protection.
Our measurement setup is inexpensive and can be built and operated by non-experts, allowing for rapid evaluation of mask performance during speech, sneezing, or coughing. Introduction Results Discussion. Commercial Laboratory Seroprevalence Surveys. Antibody study finds coronavirus infections may have been 10 times higher in Bay Area. Nearly 10 times as many Bay Area residents had been infected with the coronavirus by the end of April than the official tally at the time, according to a new federal study that analyzed antibody tests to determine how widespread the virus was across a handful of United States hot spots.