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Just Like Horror Movie! Man Dies Four Days After Exposure to Flesh-Eating Bacteria

The bacteria is called Vibrio vulnificus, the same bacteria that infected 57 in Ocean City in 2013.

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The Vibrio vulnificus is seen in this handout from the U.S. Centers for Disease Control and Prevention. VOA

October 27, 2016: In a story that could come straight from a horror movie, an Arizona man has died four days after developing a flesh-eating bacteria infection.

According to DelmarvaNow, Michael Funk began to feel ill on Sept. 11 in his Ocean City, Maryland, condo. He had been cleaning crab pots.

After being transported to a local hospital, surgeons removed a portion of infected skin from his leg. He was later sent to a shock trauma hospital in Baltimore where his leg was amputated.

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“It was very fast moving,” his widow, Marcia Funk, told DelmarvaNow. “He was in so much pain.”

The amputation failed to arrest the spread of the bacteria and Funk died on September 15.

The bacteria in question is called Vibrio vulnificus, the same bacteria that infected 57 in Ocean City in 2013.

The bacteria thrives in warm, brackish water with low levels of salinity. It can also be found in raw or undercooked seafood. The bacteria reportedly infected Funk though cuts according to the Centers for Disease Control and Prevention.

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Roughly 80,000 people contract the virus annually, according to The Washington Post.

“The bacterium can invade the bloodstream, causing a severe and life-threatening illness with symptoms like fever, chills, decreased blood pressure (septic shock) and blistering skin lesions,” according to the Florida Department of Health’s vibriosis page. “Aggressive attention should be given to the wound site; for patients with wound infections, amputation of the infected limb is sometimes necessary.”

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Officials from the Maryland Department of Health and Mental Hygiene are investigating Funk’s death, but have yet to issue an advisory. (VOA)

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Study: Friend Circle More Predictive of your Overall Health and Wellness than Fitbit Watches

According to the study published in the journal PLOS ONE, the researchers were interested in what the structure of social networks says about the state of health, happiness and stress

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Self-esteem, Social Relationship, Support, Acceptance
The authors found that positive social relationships, social support and social acceptance help shape the development of self-esteem in people over time across ages four to 76. Pixabay

To get a better reading on your overall health and wellness, you should be better off looking at the strength and structure of your circle of friends, says a study. According to the study published in the journal PLOS ONE, the researchers were interested in what the structure of social networks says about the state of health, happiness and stress.

“What we found was the social network structure provides a significant improvement in predictability of wellness states of an individual over just using the data derived from wearables, like the number of steps or heart rate,” said the study lead author Nitesh V. Chawla, a researcher of Indian origin from University of Notre Dame in the US.

fitbit, health
Fitbit watches have sensors that get information from air temperature and humidity, but also from the physiological response of the individual in that environment. Pixabay

For the study, participants wore Fitbit to capture health behaviour data — such as steps, sleep, heart rate and activity level and completed surveys and self-assessments about their feelings of stress, happiness and positivity.

The research team then analysed the data, using machine learning, alongside an individual’s social network characteristics, including degree, centrality, clustering coefficient and number of triangles.

fitbit, health
According to the study published in the journal PLOS ONE, the researchers were interested in what the structure of social networks says about the state of health, happiness and stress. Pixabay

The study showed a strong correlation between social network structures, heart rate, number of steps and level of activity. According to the researchers, social network structure provided significant improvement in predicting one’s health and well-being compared to just looking at health behaviour data from the Fitbit alone.

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For example, when social network structure is combined with the data derived from wearables, the machine learning model achieved a 65 per cent improvement in predicting happiness, 54 per cent improvement in predicting one’s self-assessed health prediction, 55 per cent improvement in predicting positive attitude, and 38 per cent improvement in predicting success.

“This study asserts that without social network information, we only have an incomplete view of an individual’s wellness state, and to be fully predictive or to be able to derive interventions, it is critical to be aware of the social network structural features as well,” Chawla said. (IANS)