Pretty amazing that, despite the spike in COVID-19 deaths from the Victorian outbreak, there was ~no~ excess mortality during winter because the number of deaths directly attributable to influenza fell from a yearly average of ~900 to 42
Also interesting - despite lockdowns and restrictions, at worst only very minor increases in deaths due to diabetes, cancer, or CVD, and a modest reduction in deaths due to COPD (probably flu related)
Small note of caution - this is provisional data, which the ABS warns may only represent ~95% of the total, so the numbers may change slightly before being finalized
Anyway, this provides quite strong evidence against the idea that government restrictions are necessarily associated with large numbers of non-COVID deaths, at least in the short term. The long term is of course still an open question
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There's been a lot of discussion recently about preprints and how we should interpret them as evidence
A few thoughts from my perspective as an epidemiologist and science communicator 1/7
2/7 The basic idea of preprints was originally twofold:
1. Put your research in the public domain, get feedback before publication 2. Get research up while it works its way through months/years of peer review
3/7 During the pandemic, given the absurd reality of months+ for studies to be peer-reviewed, preprints have become one of the primary ways for us to see new science
As an interesting note on this, the last time I contacted an author/editor to point out a study had mathematical errors, I was dismissed by the editor and insulted by the author
Conversely, I've had some really excellent discussions on Twitter about research, people are often happy to engage. Is this unprofessional?
Another important point to think about @apsmunro is that formal channels to critique research take at least months, and can easily stretch to years. The challenge with the status quo is that it often results in no action even for obvious mistakes
The United States recently reached 500,000 COVID-19 deaths
That means the POPULATION fatality rate (i.e. deaths/population) for the US is 0.15%
With an estimated ~25% infection rate, the INFECTION fatality rate is ~.6%
Really puts into perspective how wildly off the earlier estimates of very low IFRs in the US were. An IFR of 0.1% is numerically impossible at this point
Another important piece of perspective is that, in the 12 months from March 2020-March 2021, COVID-19 will likely be the leading cause of death in the US
A new study has hit the headlines claiming that eyeglasses can reduce your risk of catching COVID-19 by "2-3 times:
Unfortunately the science is...not good
Some peer-review on twitter 1/n
2/n The study is preprinted on medrxiv here. It is a single-author study on a survey done in India during COVID-19 medrxiv.org/content/10.110…
This will be a short thread, because...wow. Issues
3/n Some background here - traditionally, in epidemiology, to work out whether something is protective against disease, you need to know two basic things:
1. Likelihood of disease if exposed 2. Likelihood of disease if not exposed
The basic issue with influenza surveillance is that, JUST LIKE COVID-19, influenza can cause mild illness similar to a cold
Most people who have an infection don't get tested!
This raises a conundrum. We want to know how much influenza is around, but (based on research) only about 10-20% of people with infections get a test to see if it's influenza or something else
Headline: "COVID-19 pandemic impacts rich people less"
Epidemiologists everywhere: yes, this is true of ALL HUMAN DISEASE. WE'VE BEEN TRYING TO TELL YOU FOR YEARS
It'd be nice if from this global tragedy came a better understanding of the nightmarish social aspects of disease, but my guess is as soon as COVID-19 is gone most people will go back to not caring very much about it
If you want a quick introduction to the topic at a global scale, the @WHO produced this report in 2008 that is still very applicable today