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New Delhi, Mar 16: A recent survey across 140 districts of the country shows that about 54 per cent of Indians are finding travelling to be unsafe as the deadly coronavirus (COVID-19) pandemic sweeps globally.

The big worry that people have is community transmission, something that researchers from around the world have approximated at 10 per cent of total infections and more common in places like Wuhan in China, South Korea, Iran and Italy.

The months of March to June have historically been high travel season for most Indians, largely due to the summer vacations in schools. "But it seems that Indians do not want to take a chance with this rather scary virus and are either cancelling or postponing their travel plans," concluded the survey by LocalCircles.

The survey gathered more than 22,000 responses from participants in tier one, two and three cities. It said 48 per cent Indians plan to cancel their international business travel for the next four months.

Besides, nearly 38 per cent of respondents said they had to pay cancellation fee to the website, travel agent, airline or railways.

"These are testing times for the entire travel and tourism industry -- airlines, hotels, travel agents as well as small tour and taxi operators. The best solution at this point is to adjust cost structures, stay flexible and work with a collective approach to minimise the period of impact to both citizens and business," said LocalCircles.

The Lockdown is not a cure but a critical strategy to prevent the geographical spread of COVID-19.

While pandemics at this level involves actual life threatening situations for individual's or significant others in one's immediate circle, it envisages a marked disruption in routine life. Even after the pandemic has been contained and will come to pass; it's aftermath will leave a trailblazer which demands planning and implementation of a post pandemic reconstruction of society with potentially traumatic experiences varying in intensity, multiplicity and duration.

Degree of Trauma

It would do well for each one of us to realise that the pandemic is "potentially traumatic", since not everyone will experience COVID -19 as a traumatic event in their lives. Yet, there will be those who may develop post pandemic stress reactions, depression and related dysfunction and pathological reactions while still other exhibit healthy reactions to the same set of circumstances.

"Psychological reactions to the pandemic can be distilled into four distinct prototypical patterns, namely, Resilience, Recovery, Chronic and Delayed patterns which may vary in intensity, multiplicity, and duration. Resilient individual have an ability to bounce back from adversity and experience modest or little disruption in normal functioning and are able to maintain a relatively stable, healthy levels of psychological functioning even after enduring the pandemic. Recovery pattern is characterised by relatively rapid reduction in symptoms and return to normal functioning whereas chronic pattern is characterised by symptoms and dysfunction of a long duration," says Pune-based military psychologist Lt Col Dr Samir Rawat.

Challenges at the Individual and Community Levels

From a psychological perspective, post pandemic reconstruction would entail catering to the problems, concerns and needs of those adversely impacted by the COVID -19 with stress symptoms typically characterised by individual's experiencing an overwhelming trauma of the pandemic (for example, recurring nightmares/ breaking into a cold sweat, flashback of stressful events, increasing irritability, low frustration tolerance or emotional numbing).

It could also manifest in depressive symptoms which may result in lack of interest or diminished pleasure in activities and things which you earlier liked to do, feelings of worthlessness or even survivor guilt in case of a loss of a loved one due to COVID-19, fleeting thoughts of death and suicidal ideation. Physical symptoms, on the other hand could be a decrease in appetite, weight and sleep problems, inability to focus and lack of concentration.

Undoubtedly, the pandemic will cause a financial loss of varying magnitude to many, especially the marginalised and economically disadvantaged strata of daily wage earners; it will also lead to loss of jobs (already beginning to show), homelessness, occupational difficulties and new challenges in interpersonal relations at work and on the home front, besides physical health problems and psychological barriers with new norms of accepted social behaviour (social distancing, handshakes, an obsession for cleanliness to name a few).

Emotional battles

Many factors may influence whether individuals come out stronger and more resilient or surrender to the pandemic. Emotion Regulation is one such long term critical factor that can play an important role in contributing to varying degrees of adaptation with negative or positive outcomes. While we know that primary emotions are fear, anger, disgust, joy, anticipation, acceptance, sadness and surprise, other basic emotions include wonder, love, desire, joy, hatred, sadness, attachment, disgust, rage and even expectancy .

To be able to regulate these emotions and avoid negativity , especially on social media platforms is likely to increase efforts in emotion regulation which involves initiating, increasing or maintaining an emotional response.

This means by regulating or on the other hand by stopping, decreasing or avoiding an emotional response, that is, by down-regulating, depending on the individual's objectives and goals or his /her ability to regulate emotions in the valued and given direction.

"One of the best ways to regulate emotions is through cognitive restructuring wherein we change the way we think; after all it is not the event but the interpretation of the event which is perceived as stressful and finding meaning promotes resilience and reduces risk and vulnerability to stress," advises Dr Rawat.

Adding, "Clearly, we need to have a psychological plan to prevent, mitigate and minimise negative outcomes by post pandemic reconstruction of society at an individual and community level all over the country; this has to be integrated by all leaders across verticals in diverse domains."

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.