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That article is drawing conclusions based on an incomplete data set. Suicide with covid is a covid death anyway.
nope, having covid when getting run over by a bus counts as a covid death in many places
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Would this only show up in the covid infected population?
Not necessarily. COVID might be so transmissible that the entire world has been exposed to it enough to trigger an immune response but only establishes itself and becomes an infection in those who get a large enough viral load over a short enough time period.
While I think this is most likely due to masking, distancing and staying home when sick, which were all far more effective against the flu than against SARS-CoV-2, I wonder how much this was affected by some of the deep cleans that cities were doing at the beginning of the pandemic where they basically sprayed entire cities with disinfectant trucks. Does anyone with more expertise have any thoughts about that?
This is stupid. Both my wife and I got sick and luckily it wasn't Covid. When we were tested, that's all everyone cared about so I'm sure they didn't mark us as having the flu even though we obviously had something.
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The likely explanation is that, because the flu is significantly less transmissible than COVID, even states with "no restrictions" were able to knock it out because enough people took enough measures to protect themselves from airborne/surface communicable disease in general. In other words, you can probably beat back the flu significantly by having enough of the population mask up, wash/sanitize their hands, etc.
But the flu has always been here, even when our country was significantly less populated, when we were significantly more rural, and when people were significantly less connected in many ways. Like, how did we get flu pandemics in the 1700s? Weren't we less connected back then, even after you account for all the social distancing that was done this year?
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In 2001, Canadian astronomer Ken Tapping showed that the influenza pandemics over the previous three centuries correlated with peaks in solar magnetic activity, on an 11- year cycle. It has also been found that some outbreaks of influenza spread over enormous areas in just a few days – a fact that is difficult to explain by contagion from one person to another. Also, numerous experiments seeking to prove direct contagion through close contact, droplets of mucus or other processes have proved fruitless.
From 1933 to the present day, virologists have been unable to present any experimental study proving that influenza spreads through normal contact between people. All attempts to do so have met with failure.
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source: https://www.5gexposed.com/wp-content/uploads/2019/04/English...
Just speculating here, but maybe because of false positives where flu cases get labeled as Covid? I've heard that PCR tests were not meant to be used for large scale virus detection. EDIT: The PCR test quote was fact checked and deemed to be misleading, but it still sounds like they are not very accurate [0]. [0]: https://www.reuters.com/article/uk-factcheck-pcr-idUSKBN2442...
An alternative explanation is that of "viral interference"[1,2], i.e., the most transmissible virus boosting up viral immunity in the population, and precluding transmission of the less transmissible/fit virus [1]: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489283/ [2]: https://www.thelancet.com/journals/lanmic/article/PIIS2666-5...
The lack of Flu infections in the population that did not contract COVID cannot be explained by viral interference. Viral interference would only explain a decreased influenza infection rate among those exposed to COVID.
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I don't know where you live but in Canada we have programs like FluWatchers which send sample groups a survey every week asking about flu-like symptoms, flu vaccinations (and COVID now) and such every flu season. They can also request a voluntary sample from you to help track these things. So the data is there :-)
Interesting, I've never (knowingly) been a part of an epidemiological survey like that.
Every community has a baseline mortality rate during "normal" times. During abnormal times like pandemic, famine and war, more people die than usual, but often the cause isn't known. If you subtract baseline mortality from actual mortality to get excess mortality, that's often a better estimate of the casualties from pandemic, famine and war than the death certificates for every person who died. Excess mortality in m…
Cleaned-up OCR'd data from https://www.cdc.gov/nchs/nvss/leading-causes-of-death.htm in TSV format: Year/Cause of death 2015 2016 2017 2018 2019 2020 Total deaths 2712630 2744248 2813503 2839205 2854838 3358814 Heart disease 633842 635260 647457 655381 659041 690882 Cancer 595930 598038 599108 599274 599601 598932 COVID-19 345323 Unintentional injuries 146571 161374 169936 167127 173040 192176 Stroke 140323 142142 14…