News From Italy

[Zam-Zam]

Some positive signs?

Italy sees signs of slowing contagion despite heavy toll

Italy reported fresh evidence Monday that weeks of life spent under a national lockdown could slow the spread of the coronavirus, although the country's death toll continued to grow.

Figures from Italy's civil protection service showed the rate of new COVID-19 infections hitting a new low of just 4.1 percent.

The number of people currently sick with the illness at its epicenter in the northern Lombardy region around Milan also dropped for the first time.

And the number of people who have recovered from COVID-19 across the nation of 60 million people reached a new high.

"We saw 1,590 people recover in the past 24 hours," civil protection service chief Angelo Borrelli told reporters.

"This is the highest number of recoveries recorded since the start of the pandemic."



Complete text: https://www.msn.com/en-us/health/health-news/italy-sees-signs-of-slowing-contagion-despite-heavy-toll/ar-BB11VqMV?li=BBnb7Kz




How do you eat an elephant?

One bite at a time.....

 

[Raoul_Luke]

I just heard a report that there's a type of thermometer that transmits readings to a national database, and that it has shown a decline in average temperatures in recent days. Now, it could be that they are simply taking more temperatures and so are capturing more people who aren't sick, but it bears watching.

 

[Zam-Zam]

I just heard a report that there's a type of thermometer that transmits readings to a national database, and that it has shown a decline in average temperatures in recent days. Now, it could be that they are simply taking more temperatures and so are capturing more people who aren't sick, but it bears watching.

That would be interesting.

If you happen to come across a link for that, it would make for good reading.

 

[Raoul_Luke]

That would be interesting.

If you happen to come across a link for that, it would make for good reading.

Heard it on TV, unfortunately. Hopefully we'll hear more about it going forward.

 

[Zam-Zam]

Heard it on TV, unfortunately. Hopefully we'll hear more about it going forward.

I did find this from 2018:

A new approach tested by researchers at the University of Iowa shows that de-identified data from a "smart thermometer" connected to a mobile phone app can track flu activity in real time at both population and individual levels and the data can be used to significantly improve flu forecasting. The findings are published online Feb. 8 in the journal Clinical Infectious Diseases.

"We found the smart thermometer data are highly correlated with information obtained from traditional public health surveillance systems and can be used to improve forecasting of influenza-like illness activity, possibly giving warnings of changes in disease activity weeks in advance," says lead study author Aaron Miller, PhD, a UI postdoctoral scholar in computer science. "Using simple forecasting models, we showed that thermometer data could be effectively used to predict influenza levels up to two to three weeks into the future. Given that traditional surveillance systems provide data with a lag time of one to two weeks, this means that estimates of future flu activity may actually be improved up to four or five weeks earlier."


Complete text: https://www.sciencedaily.com/releases/2018/02/180208120828.htm

 

[Winston]

That would be interesting.

If you happen to come across a link for that, it would make for good reading.

The link is called high school math

Jesus Christ people are stupid

 

[Winston]

I did find this from 2018:

A new approach tested by researchers at the University of Iowa shows that de-identified data from a "smart thermometer" connected to a mobile phone app can track flu activity in real time at both population and individual levels and the data can be used to significantly improve flu forecasting. The findings are published online Feb. 8 in the journal Clinical Infectious Diseases.

"We found the smart thermometer data are highly correlated with information obtained from traditional public health surveillance systems and can be used to improve forecasting of influenza-like illness activity, possibly giving warnings of changes in disease activity weeks in advance," says lead study author Aaron Miller, PhD, a UI postdoctoral scholar in computer science. "Using simple forecasting models, we showed that thermometer data could be effectively used to predict influenza levels up to two to three weeks into the future. Given that traditional surveillance systems provide data with a lag time of one to two weeks, this means that estimates of future flu activity may actually be improved up to four or five weeks earlier."


Complete text: https://www.sciencedaily.com/releases/2018/02/180208120828.htm

LOL you forget that when you use the smart thermometer and the temp is high they come and either nail your doors shut with you inside or take you away to the field hospital where you are 100 percent guaranteed to catch the contagion then you die

You first kid