CT now averaging more than 1,000 cases a day
Here are the most important things to know about the corona virus in Connecticut:
CT now averaging more than 1,000 cases a day
As of Monday, the state is averaging more than 1,000 new corona virus cases a day, a level not seen since April 26. There have been more than 1,000 new cases reported by the state every day this week. The highest number of average daily cases since the pandemic began was April 22 , when there were an average of 1,102 new cases. It is important to note, however, that many of these cases maybe asymptomatic. Early in the pandemic, the state was conducting sign ifi cant ly fewer tests, and then only on patients displaying symptoms consistent with a corona virus infection. More recently, the state has ramped up testing, which maybe id en tify in ga significantly larger number of positive cases.
Cases continue to climb: 1,574 new cases reported
The st at e announced 1,574 new COVID cases Wednesday and 36 new hospitalizations, bringing the number of patients currently hospitalized for the virus to a total of 584. Nine more deaths were reported, raising the cumulative amount to 4,716 deceased. The positivity rate is 4.7 percent, a decrease from a high of 6.7 percent on Tuesday.
‘Entitled’ people are less likely to comply with guidelines, research says
Are you entitled? If you have a sense of entitlement, you’ re less likely to comply with COVID-19 guidelines, according to a survey of three studies conducted by researchers from
Cornell University. Not only were“people higher in psychological entitlement” more likely to believe that“the threat of the virus was over blown ,” but they“were also more likely to report that they had contracted
COVID -19.”
Cellphone data uncovers ‘superspreader’ locations for infections
Using cellphone data, researchers mapped what they called “mobility networks ,” tracking and mapping the “hourly movements of 98 million people” from major metro areas across the United States as they went to and from “points of interest” such as restaurants and religious establishments. They found that “a small minority of‘ super spreader’ [points of interest) account for a large majority of infections .” The study, published this week in the journal Nature, also sug-gests that restricting occupancy at specific points of interest would be more effective than “uniformly reducing mobility .”
Researchers find rapid tests to be about 99 percent accurate
Researchers went to a public plaza in San Francisco and tested the Abbott Labs rapid corona virus test on 878 subjects, and found that it was spot on about 99 percent of the time, producing a false positive only very rarely. Connecticut has been expected to receive thousands of the $5,15- minute tests, as Gov. Ned La mont announced in October. The tests were accurate regardless of symptoms, researchers said.