Saturday January 18, 2020

WHO: Medicines Provided To Libya With Italian Govt’s Support

The World Health Organization (WHO) said that medicines have been provided to Libyan hospitals, with the support of the Italian government

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Libya, Italy, Who, Health, Medicines
Deliveries arrived today at Tripoli hospitals and clinics and were generously supported by the Italian government. VOA

The World Health Organization (WHO) said that medicines have been provided to Libyan hospitals, with the support of the Italian government.

“This week, the World Health Organization is providing medicines and supplies to treat thousands of patients across Libya,” WHO tweeted on Friday, Xinhua news agency reported.

“Deliveries arrived today at Tripoli hospitals and clinics and were generously supported by the Italian government,” the organization said.

Libya, Italy, Who, Health, Medicines
World Health Organization (WHO) said that medicines have been provided to Libyan hospitals. Wikimedia Commons

On Thursday, WHO said it provided essential medicines to Libyan hospitals, with the support of the German government and the US Office of Foreign Disaster Assistance.

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Due to years of armed conflicts and economic instability, Libyan authorities have been struggling to provide proper healthcare and education and other basic services for the people. (IANS)

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Here’s How Fitbit Smartwatch May Help You Predict Flu in Real-Time

The authors identify several limitations in their study

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Fitbit
Resting heart rate tends to spike during infectious episodes and this is captured by wearable devices such as Fitbit smartwatches and fitness trackers that track heart rate. Pixabay

In a first-ever study on wearable devices to improve surveillance of infectious disease, researchers in the US have achieved real-time flu prediction in five states, using resting heart rate and sleep tracking data from Fitbit users.

Resting heart rate tends to spike during infectious episodes and this is captured by wearable devices such as smartwatches and fitness trackers that track heart rate.

Influenza results in 650,000 deaths worldwide annually. And approximately 7 per cent of working adults and 20 per cent of children aged under five years get flu each year.

“Responding more quickly to influenza outbreaks can prevent further spread and infection, and we were curious to see if sensor data could improve real-time surveillance at the state level,” said study author Dr Jennifer Radin from Scripps Research Translational Institute.

The researchers reviewed de-identified data from 200,000 users who wore a Fitbit wearable device that tracks users’ activity, heart rate and sleep for at least 60 days during the study time.

fitbit
In a first-ever study on wearable devices to improve surveillance of infectious disease, researchers in the US have achieved real-time flu prediction in five states, using resting heart rate and sleep tracking data from Fitbit users. Pixabay

From the 200,000, 47,248 users from California, Texas, New York, Illinois and Pennsylvania wore a Fitbit device consistently during the study period, resulting in a total of 13,342,651 daily measurements evaluated.

The average user was 43 years old and 60 per cent were female.

De-identified data from the users retrospectively identified weeks with elevated resting heart rate and changes to routine sleep, said the research published in The Lancet Digital Health journal.

“In the future as these devices improve, and with access to 24/7 real-time data, it may be possible to identify rates of influenza on a daily instead of weekly basis,” said Radin.

This data was compared to weekly estimates for influenza-like illness rates reported by the U.S. Centers for Disease Control (CDC).

This is the first time heart rate trackers and sleep data have been used to predict flu, or any infectious disease, in real-time.

With greater volumes of data it may be possible to apply the method to more geographically refined areas, such as county or city-level.

The authors identify several limitations in their study.

Weekly resting heart rate averages may include days when an individual is both sick and not sick, and this may result in underestimation of illness by lowering the weekly averages.

Fitbit
This is the first time heart rate trackers and sleep data have been used to predict flu, or any infectious disease, in real-time. Pixabay

Other factors may also increase resting heart rate, including stress or other infections.

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Lastly, the authors noted that previous studies of sleep measuring devices have been found to have low accuracy, though they said that accuracy will continue to improve as technology evolves. (IANS)