In recent weeks, the COVID-19 fear porn propaganda urged frightened sheople to get tested. Herds flocked to hospitals and testing centers to the tune of more than 2.1 million tests nationwide. Here in Connecticut, the flock waited in long lines at hospitals and designated testing centers to have a swab shoved up their noses into their brainwashed dumbed downed brains.
If only these people could think out side the box of their political ideology, or and cult of personality belief in leaders whose words they treat as Gospel without any reflection or investigation into the validity of what they has been proposed. Is this a harsh assessment? Yes. Is it justified. Yes.
Mass herds believed the ever changing lies from a corrupt, power hungry collectivist force, believing bureaucrats and political operatives lies and willingly gave up give up their jobs, businesses and livelihoods on their word.
Christmas Holiday gatherings have been demonized by so called “experts” and corrupt politicians drunk on their authoritarian executive power and numb to their constitutional oaths. These totalitarians like Gov. Cuomo of New York and Gov. Whitmer of Wisconsin have become the poster children of government overreach and tyranny. Millions have lost their jobs and businesses while these corrupt politicians still receive their paychecks and continue to dole out totalitarian measures against the very people who they are supposed to represent, not rule over.
This is what these establishment thugs think of the American people and the people of the world:
Quote from 1979 social engineering manual SILENT WEAPONS FOR QUIET WARS:
“Anyone who doesn’t use their intellect are no better than animals who have no intellect and are therefore beasts of burden and steaks on the table by choice and consent”
And many consented. Believing the words of the World Health Oganization, a globalist United Nations entity openly promoting and working to institute Agenda 21 protocts and create a world government. Tyrants whose goal is rule over and control society while culling the herd. Tyrants who message their intent. Tyrants who could care less than 30% of American small businesses, which reprent 70% of the American workforce lost their jobs and their fortunes. Why isn’t this aspect of the COVID nightmare ever addressed by the media? Because it doesn’t fit the narrative of the psyop.
Connecticut COVID-19 Summary
Summary for the most recent day of reporting. Includes confirmed plus probable cases; probable cases include persons with positive antigen results
|COVID-19 Cases (confirmed and probable)||181,967||+||767|
|COVID-19 Tests Reported (molecular and antigen)||4,268,277||+||13,603|
|Daily Test Positivity*||5.64%|
|Patients Currently Hospitalized with COVID-19||1,226||+||7|
Daily test positivity is the number of new positive molecular and antigen cases divided by the number of new molecular and antigen tests reported in the past 24 hours. Table: Ver 12.1.2020 Source: CT Department of Public HealthGet the data Created with Datawrapper
See dashboards on topics relating to COVID-19 using the buttons below. The Daily Public Health COVID-19 Report is the daily report from the Department of Public Health and contains data on the number of cases, hospitalizations, and deaths due to COVID-19 in Connecticut. This report is updated once per day usually around 4:00 p.m.
Daily test positivity is the number of new positive molecular and antigen cases divided by the number of new molecular and antigen tests reported in the past 24 hours.Source: CT Department of Public HealthGet the data Created with Datawrapper
SOURCE: COVID-19 data | Connecticut Data
What test positivity tells you — and what it doesn’t
The positivity rate is a “fairly crude way to see if we’re doing enough testing,” according to Yale Professor of Epidemiology Ted Cohen. In Connecticut, the positivity rate is defined as the number of cases divided by the number of tests reported each day. It’s often talked about in the context of assessing COVID-19 spread, but it is highly influenced by fluctuations in testing patterns.
For instance, high positivity rates in March and April reflect the relative scarcity of testing over that period, and any comparison to present-day rates must keep that in mind, he said.
“The pool of people we were testing in the spring is totally different from who is being tested now. The tests were more restricted to people who were severely ill, and there were shortages of tests. Therefore, you can’t directly compare the numbers of positive tests between the spring and now,” said Yale Associate Professor of Epidemiology Dan Weinberger.
The World Health Organization’s 5% positivity threshold for reopening is somewhat arbitrary, Cohen said, but in general, a high positivity rate indicates that testing data isn’t capturing the full case count.
Daily case data is a snapshot of the past — not a reflection of the present
The governor’s briefings and the CT Mirror’s case-count charts report test data based on the day that the result comes back from a lab. As there is a variable time delay between getting tested and getting a result back, these data will be showing the past, not the present.
The case rate data by town, on the other hand, releases data by the date that a person was tested. Therefore, the case numbers in the town-by-town bubble chart reflect active COVID-cases over the previous two weeks. The data are updated weekly.
Deaths trail behind cases
While the case data on a given day is a snapshot of the past, it is also a clue to what people might eventually see in the death data.
In general, deaths trail behind cases by about two to three weeks, Cohen said. The delay is because of the nature of the disease and the time it takes to prove fatal; it is also influenced by the process of recording deaths. “This lag has been abused by many people” to question the severity of the disease, Cohen said, but only time can reveal the full impact of the pandemic.
That said, the extent of the spike in deaths following a spike in cases may not be the same as it was in March, Cohen said. In part, this is because doctors and nurses are better equipped to handle the virus now than they were then. Those infected today might also be less vulnerable, particularly if they are younger.
Case rates by town do not include nursing homes and correctional facilities
While this means that the town map does not provide a comprehensive picture of the virus in an area, separating out nursing home and prison data can provide most town residents with a more accurate understanding of their risk of exposure “if these are truly isolated populations within these community where there’s little to no interaction,” Cohen said.
Case rates by town don’t normalize for testing variation
The sheer number of tests might differ by town, and “that is a potential source of bias,” Cohen said. College towns, for instance, may see higher testing numbers because universities are testing communities on a regular basis. The town-by-town case rate data includes cases from schools and universities, confirmed Pauline Zaldonis, the dataset’s manager.
That means that some towns may be doing a better job of identifying cases than others, resulting in higher case rates.
Connecticut Case Overview
The Connecticut Department of Public Health (DPH) provides regular updates on confirmed and probable cases of COVID-19, hospitalizations, and deaths. All data in the daily reports are preliminary and data for previous dates may be updated as new reports are received and data errors are corrected. Data include patients tested at the State Public Health Laboratory, hospital, and commercial laboratories.
The average daily rate of new cases of COVID-19 during the past two weeks. Only cases among persons living in community settings are included. This DOES NOT include cases among people who reside in nursing home, assisted living, or correctional facilities. (BECAUSE THEY DON’T WANT THE PUBLIC TO FOCUS ON THESE STATISTICS)
Hospitalization data are collected by the Connecticut Hospital Association. Deaths reported to either the Officer of the Chief Medical Examiner (OCME) or DPH are included in the daily COVID-19 update.
For public health surveillance, laboratory-confirmed COVID-19-associated deaths are defined as patients who tested positive for COVID-19 around the time of death; this is not a determination of the cause of death.
The charts and datasets below provide statewide, county and town data, and additional disaggregations:
- COVID-19 Tests, Cases, Hospitalizations, and Deaths (Statewide)
- COVID-19 Cases, Hospitalizations, and Deaths (By County)
- COVID-19 Tests, Cases, and Deaths (By Town)
- COVID-19 Cases and Deaths by Gender
- COVID-19 Cases and Deaths by Race/Ethnicity
- COVID-19 Cases and Deaths by Age Group
- COVID-19 Test Results by Date of Specimen Collection (By County)
- COVID-19 Cases by Date of First Positive Specimen
- COVID-19 case rate per 100,000 population and percent test positivity in the last 14 days by town
- COVID-19 Daily DPH Reports Library
Additional documentation on the data sources and methods are available via daily updates from DPH; a repository of daily update reports is posted here. Rate calculations are based on population estimates from DPH. A report on COVID-19 race and ethnicity data at the state level and in the ten largest towns can be downloaded here.
Department of Public Health, Connecticut Data Collaborative, DataHaven, University of Connecticut Department of Geography, FEMA Region 1, Connecticut Conference of Municipalities, Yale University COVID-19 mapping team.
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