Scientists developing tool to help differentiate between bacterial and viral infections

Agencies
July 30, 2017

New Delhi, Jul 30: In a bid to stop the spread of antibiotic resistance, scientists are developing a tool to help physicians distinguish between bacterial and viral infections.

Researchers identified 11 genetic markers in blood that accurately distinguished between viral and bacterial infections.

Antibiotics help us fight bacterial infections, but are not effective and should not be used to treat viruses.

"It is extremely difficult to interpret what is causing a respiratory tract infection, especially in very ill patients who come to the hospital with a high fever, cough, shortness of breath and other concerning symptoms," said Ann R Falsey, professor at University of Rochester Medical Center (URMC) in the US.

Researchers studied 94 adults hospitalised with lower respiratory tract infections.

They gathered their clinical data, took blood from each patient, and conducted a battery of microbiologic tests to determine which individuals had a bacterial infection and which had a non-bacterial or viral infection.

The team then used complex genetic and statistical analysis to pinpoint markers in the blood that correctly classified the patients with bacterial infections 80 to 90 per cent of the time.

"Our genes react differently to a virus than they do to bacteria," said Thomas J Mariani, professor at URMC.

"Rather than trying to detect the specific organism that is making an individual sick, we are using genetic data to help us determine what is affecting the patient and when an antibiotic is appropriate or not," Mariani said.

 

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Agencies
July 2,2020

London, Jul 2: The World Health Organisation says smoking is linked to a higher risk of severe illness and death from the coronavirus in hospitalised patients, although it was unable to specify exactly how much greater those risks might be.

In a scientific brief published this week, the U.N. health agency reviewed 34 published studies on the association between smoking and Covid-19, including the probability of infection, hospitalisation, severity of disease and death.

WHO noted that smokers represent up to 18% of hospitalised coronavirus patients and that there appeared to be a significant link between whether or not patients smoked and the severity of disease they suffered, the type of hospital interventions required and patients' risk of dying.

In April, French researchers released a small study suggesting smokers were at less risk of catching Covid-19 and planned to test nicotine patches on patients and health workers — but their findings were questioned by many scientists at the time who cited the lack of definitive data.

WHO says "the available evidence suggests that smoking is associated with increased severity of disease and death in hospitalized Covid-19 patients. It recommends that smokers quit.

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News Network
May 11,2020

Panaji, May 11: Amid the COVID-19 outbreak, most of the people are more concerned about the health of their near and dear ones than their own well-being, says a study conducted by a leading business school in Goa.

People are now more conscious about any bodily changes, and even mild cold, cough and sneezing, it says.

The study, on public's reaction towards COVID-19 outbreak by gauging their psychological response in terms of anxiety and their coping behaviour, was conducted by the Goa Institute of Management's Dr Divya Singhal and Prof Padhmanabhan Vijayaraghavan.

It took into account inputs from 231 respondents residing in various parts of the country.

"Nearly 82.25 per cent of the respondents were more worried about the health of their loved ones than their own well-being," Singhal said.

"Majority of the respondents have become conscious of any bodily changes, sensations, a mild cold, cough, sneezing and experience concern, and attribute those changes to the symptoms of COVID-19," she said.

Besides, more than 50 per cent of the respondents said their social media usage has gone up as well as their time spent on watching movies and shows through online medium, the official said.

The respondents agreed that their technology usage to connect with friends and relatives has gone up, she said.

The study also indicated that a large group of respondents found it "depressing" to read forwarded messages on the deadly disease.

"An overwhelming majority of the respondentsagreed that they discourage unverified forwarded messages about COVID-19 on social media," says the study.

It also found that 41 per centof the respondents were not doing any physical activity, like yoga, during the lockown period, while another 19 per cent were not sure about engaging themselves in physical activities.

Besides, 57 per cent of the respondents were not engaged in any mind-calming practices like meditation, and 18 per cent were not sure about taking up meditative practices, the study said.

The respondents included 145 men and 86 women, aged 18 and above, with nearly 60 per cent of them residing in non- metro cities and rest from metros.

About 47.62 per cent of the respondents were employed in private or government sectors, and the remaining included students, retired persons and homemakers.

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Agencies
June 21,2020

Lower neighbourhood socioeconomic status and greater household crowding increase the risk of becoming infected with SARS-CoV-2, the virus that causes COVID-19, warn researchers.

"Our study shows that neighbourhood socioeconomic status and household crowding are strongly associated with risk of infection," said study lead author Alexander Melamed from Columbia University in the US.

"This may explain why Black and Hispanic people living in these neighbourhoods are disproportionately at risk for contracting the virus," Melamed added.

For the findings, published in the journal JAMA, the researchers examined the relationships between COVID-19 infection and neighbourhood characteristics in 396 women who gave birth during the peak of the Covid-19 outbreak in New York City. Since March 22, all women admitted to the hospitals for delivery have been tested for the virus, which gave the researchers the opportunity to detect all infections -- including infections with no symptoms -- in a defined population

The strongest predictor of COVID-19 infection among these women was residence in a neighbourhood where households with many people are common.The findings showed that women who lived in a neighbourhood with high household membership were three times more likely to be infected with the virus. Neighbourhood poverty also appeared to be a factor, the researchers said.Women were twice as likely to get COVID-19 if they lived in neighbourhoods with a high poverty rate, although that relationship was not statistically significant due to the small sample size.

The study revealed that there was no association between infection and population density.

"New York City has the highest population density of any city in the US, but our study found that the risks are related more to density in people's domestic environments rather than density in the city or within neighbourhoods," says co-author Cynthia Gyamfi-Bannerman."

The knowledge that SARS-CoV-2 infection rates are higher in disadvantaged neighbourhoods and among people who live in crowded households could help public health officials target preventive measures," the authors wrote.

Recently, another study published in the Journal of the American Planning Association, showed that dense areas were associated with lower COVID-19 death rates.

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