WHO suspends HCQ clinical trial on COVID-19 patients

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.

The practice of washing your hands for 20 seconds is one of the best preventive measures you can take to avoid the spread of any virus including coronavirus as recommended by the WHO.

The modern day concept of handwashing was introduced by Hungaraian doctor Ignaz Semmelweis, in 19-th century Vienna. Semmelweis proposed the practice of washing hands with chlorinated lime solutions in 1847 while working in the city's general hospital.

Decades later, in the modern times too the practise has not lost it's relevance. To connect with savvy consumers the message is being sent through social media? But social media can also be a dark place where misinformation is rampant; consumers can end up being misguided and compromised on sensitive issues like health and hygiene.

Dettol, recently kickstarted its #HandWashChallenge on TikTok aiming to raise awareness on four simple steps of handwashing. Strategically aimed at creating awareness among audience, a unique song has been created pairing it extremely well with the hashtag #HandWashChallenge. The hashtag filter has a branded Dettol strip across the top with the hashtag and names the steps involved in washing hands. The user can dance out the steps to the challenge and share it with their friends to further amplify the message on hygiene and safety.

Commenting on the same, Pankaj Duhan, Chief Marketing Officer, RB Health South Asia said, "We are elated with the response to the #HandWashChallenge, it has definitely become one of the most successfully led initiatives by any of our brands at RB. Understanding the consumer's mindset is of the utmost importance to us, therefore our campaign communication is built in a way that creates meaningful conversations to drive awareness amongst consumers. The participation by TikTok users across India has helped deliver the right message in a more engaging and interactive manner.

"I personally would like to encourage more and more people to join this global health & hygiene educational exercise. Together, let us all build a healthier nation, four steps at a time."

He further said, "Over the past couple of weeks we have witnessed a lot of misinformation floating around hygiene practices, especially over the internet. Realizing the gravity of the issue and being the responsible brand, we felt it was our prerogative to initiate this awareness campaign."

The campaign witnessed several quirky activities on each day leading to increased consumer interest. Joining the force were some of Bollywood's popular celebrities like Kartik Aaryan and Urvashi Rautela among several other TikTok influencers who have millions of followers on the platform. As part of Phase II, Dettol plans to take the challenge global by encouraging more users to participate while the audience worldwide.

The challenge has witnessed over 18 Billion views and generated over 123K user participation videos in one week of starting the campaign.

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.