This work laid the foundation for everything we know about T cells today, including how they become activated to fight infections and how they form memory populations that provide long-lasting immunity.
Tag Archives: Infections
Research: Combatting Antibiotic Resistance
Morning News Podcast: New Stimulus Bill Talks, California Covid-19 Rates
NPR News Now reports on Stimulus Bill talks on Saturday, California reaches 500,000 coronavirus infections and 9200 fatalities, Florida tropical storm, and more.
Covid-19: “Superspreading Events” Responsible For Up To 80% Of Infections
From Scientific American (June 23, 2020):
In fact, research on actual cases, as well as models of the pandemic, indicate that between 10 and 20 percent of infected people are responsible for 80 percent of the coronavirus’s spread.
Researchers have identified several factors that make it easier for superspreading to happen. Some of them are environmental.
- Poorly ventilated indoor areas seem especially conducive to the virus’s spread – A preliminary analysis of 110 COVID-19 cases in Japan found that the odds of transmitting the pathogen in a closed environment was more than 18 times greater than in an open-air space.
- Places where large numbers of people congregate – As a group’s size increases, so does the risk of transmitting the virus to a wider cluster. A large group size also increases the chance that someone present will be infectious.
- The longer a group stays in contact, the greater the likelihood that the virus will spread among them – The benchmark used for risk assessment in her contact-tracing work is 10 minutes of contact with an infectious person, though the CDC uses 15 minutes as a guideline.
- Some activities seem to make it easier to spread respiratory gunk – Speech emits more particles than normal breathing. And emissions also increase as people speak louder. Singing emits even more particles, which may partially explain the superspreader event at the Washington State choir practice. Breathing hard during exercise might also help the spread of COVID-19.
Healthcare: “Rethinking How Hospitals Operate”
From the Wall Street Journal (June 8, 2020):
“We have to operate a hospital within a hospital, taking care of the needs for patients who have had strokes or a newborn delivery or need surgery while dealing with an otherwise healthy 35-year-old who picked up Covid-19 at a social event,” says James Linder, chief executive of Nebraska Medicine…
For instance, more hospitals are remotely triaging and registering patients before they even arrive. Clinicians can consult with patients from their home via telemedicine to help determine how sick they are and if they need to come to the ER at all. From there, admissions are made with as little contact with staff or other patients as possible.
Hospitals are rethinking how they operate in light of the Covid-19 pandemic—and preparing for a future where such crises may become a grim fact of life.
With the potential for resurgences of the coronavirus, and some scientists warning about outbreaks of other infectious diseases, hospitals don’t want to be caught flat-footed again. So, more of them are turning to new protocols and new technology to overhaul standard operating procedure, from the time patients show up at an emergency room through admission, treatment and discharge.
Health: “The Vital Importance Of Social Distancing” To Stop Spread Of Coronavirus
In order to stem the spread of the coronavirus, social interactions around the world are being restricted. This infographic, based on calculations by Robert A. J. Signer, Assistant Professor of Medicine at the University of California San Diego, shows how this so-called social distancing can reduce the spread of the virus.
With no changes to social behaviour, one infected person will on average pass the virus to 2.5 people within five days. After 30 days, the figure would rise to a devastating 406 new infections. The number can be significantly reduced though by engaging in less social contact. With a 50 percent reduction, the number of new infections caused by the average person after 30 days is just 15 people. A 75 percent change would result in an even lower 2.5 new cases – greatly reducing the burden on health services and, if followed by everybody, allowing a country to ‘flatten the curve’ of new infections.
Health Reports: CDC Finds That 35,000 Americans Die Of Antibiotic-Resistant Infections Each Year
More than 2.8 million antibiotic-resistant infections occur in the United States each year, and more than 35,000 people die as a result. In addition, nearly 223,900 people in the United States required hospital care for C. difficile and at least 12,800 people died in 2017.
Germs continue to spread and develop new types of resistance, and progress may be undermined by some community-associated infections that are on the rise. More action is needed to address antibiotic resistance. While the development of new treatments is one of these key actions, such investments must be coupled with dedicated efforts toward preventing infections in the first place, slowing the development of resistance through better antibiotic use, and stopping the spread of resistance when it does develop to protect American lives now and in the future.
CDC’s Antibiotic Resistance Threats in the United States, 2019 (2019 AR Threats Report) includes updated national death and infection estimates that underscore the continued threat of antibiotic resistance in the United States. New CDC data show that while the burden of antibiotic-resistance threats in the United States was greater than initially understood, deaths are decreasing since the 2013 report. This suggests that U.S. efforts—preventing infections, stopping spread of bacteria and fungi, and improving use of antibiotics in humans, animals, and the environment—are working, especially in hospitals. Vaccination, where possible, has also shown to be an effective tool of preventing infections, including those that can be resistant, in the community.
To read the report: https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf
Future Of Health Care: New Machine Learning System Detects Infections 48 Hours In Advance
From a Health IT Analytics online release:
The prototype revealed that using artificial intelligence and machine learning to examine certain combinations of vital signs and other biomarkers could strongly predict the likelihood of infection up to 48 hours in advance of clinical suspicion, including observable symptoms.
Royal Philips, in collaboration with the Defense Threat Reduction Agency (DTRA) and Defense Innovation Unit (DIU) of the US Department of Defense (DoD), are building a machine learning algorithm that will be able to detect an infection before a patient shows signs or symptoms.
The partnering organizations recently announced results from an 18-month project, called Rapid Analysis of Threat Exposure (RATE), the first large-scale exploration of pre-symptomatic infection in humans. The project aims to develop an early warning system that accelerates diagnosis and treatment of infection, containing the spread of communicable disease.
To read more: https://healthitanalytics.com/news/philips-dod-build-machine-learning-system-to-detect-infection
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