agreed we should warp speed, but not so warp as to pile hypothesis upon hypothesis.
This will change if pre-prints ever offer bona fide academic points, but for now, there is no difference in quality.
* determine whether the numbers are intentionally fudged.
* read the methods and results and check for possible systematic errors.
* see if the data supports the conclusions of the authors.
* make sure you understand the limits and implications of what the authors claim.
as a layperson, I can't really do this for biology. so inevitably, I give things a quick once-over, come up with questions and look to the people I trust for answers or contradictory data. so it's basically an ad-hoc peer review.
Of the papers I've submitted, exactly one received a quality peer review. The rest were nonsense. Both accepted and rejected papers clearly weren't read. All incentives align to giving a paper a quick skim and being done with it. NIPS showed the process is indistinguishable from noise in an experiment a few years back.
It's like QA testing with a six-sided die.
Peer review is more like code reviews... but the code is hidden and you can only see the comments.
Since this story ( which smells a lot like corruption and lobbyist work) i must say i'm a bit confused about the true value of publication for things related to covid
https://blogs.bmj.com/bmj/2021/07/05/time-to-assume-that-hea...
Fewer than half replicate. I would estimate a lot of that comes from softer research malpractice.
Being confused about the value is a fair reaction. It is high; without scientific research, though, we wouldn't have vaccines or monoclonal antibodies. On the other hand, it is lower than assumed, and trusting individual papers and peer review processes is a mistake.
How much value would Facebook have if it were your only source of information? A lot, actually. Imperfect information is valuable too.
I can't imagine the journal's reviewers being careless.
I haven't seen many careful reviewers. It's an anonymous process, and no reason to put in any effort at all. On the procrastination list, peer reviews are the very last thing scientists do.
it is an ongoing continuum of process
It's important to note the tremendous amount of evidence from a wide body of peer-reviewed literature which supports the fact that immunity acquired through natural infection provides protection against reinfection that is at least equally effective as vaccination. This fact has been repeatedly demonstrated in multiple large scale and long term serological studies [1][2][3][4][5].
- A previous history of SARS-CoV-2 infection was associated with an 84% lower risk of infection, with median protective effect observed 7 months following primary infection. This time period is the minimum probable effect because seroconversions were not included. This study shows that previous infection with SARS-CoV-2 induces effective immunity to future infections in most individuals. [1] (N=25,661)
- The study results suggest that reinfections are rare events and patients who have recovered from COVID-19 have a lower risk of reinfection. Natural immunity to SARS-CoV-2 appears to confer a protective effect for at least a year, which is similar to the protection reported in recent vaccine studies. [3] (N=15,075)
- Reinfection is rare in the young and international population of Qatar. Natural infection appears to elicit strong protection against reinfection with an efficacy ~95% for at least seven months. [4] (N=192,967)
- The degree of protection (10-fold) associated with seropositivity appears to be comparable to that observed in the initial reports of the efficacy of mRNA vaccines in large clinical trials. [5] (N=3,257,478)
The OP is one of the first and largest scale studies to evaluate the risk of reinfection - in the context of the delta variant which is currently dominant in many countries around the world - by directly comparing naturally acquired immunity to vaccine-induced immunity.
> those vaccinated are still at a 5.96-fold increased risk for breakthrough infection and at a 7.13-fold increased risk for symptomatic disease compared to those previously infected.
> SARS-CoV-2-naïve vaccinees were also at a greater risk for COVID-19-related-hospitalization compared to those who were previously infected.
If the OP study holds up to peer-review (which it likely will), then we can expect further studies attempting to replicate this finding, and even more studies attempting to explain why naturally acquired immunity induces a more robust immune response. The findings from those studies will be leveraged in the design of future vaccines - so these results will be a win just about any way you look at them.
[1] SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN) https://pubmed.ncbi.nlm.nih.gov/33844963/
[2] Risk of Reinfection After Seroconversion to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Population-based Propensity-score Matched Cohort Study https://academic.oup.com/cid/advance-article/doi/10.1093/cid...
[3] Assessment of SARS-CoV-2 Reinfection 1 Year After Primary Infection in a Population in Lombardy, Italy https://jamanetwork.com/journals/jamainternalmedicine/fullar...
[4] SARS-CoV-2 antibody-positivity protects against reinfection for at least seven months with 95% efficacy https://www.sciencedirect.com/science/article/pii/S258953702...
[5] Association of SARS-CoV-2 Seropositive Antibody Test With Risk of Future Infection https://jamanetwork.com/journals/jamainternalmedicine/fullar...
Other than that, I agree with pretty much everything you just said. One thing to keep in mind when it comes to policy however, is data quality. The vaccine trials were double blind, controlled studies, which are the highest quality of medical study. This is why the short term, vaccine efficacy results were quickly acted on. By necessity, the OP and the studies you linked are retrospective, observational studies which are considerably more difficult to analyze correctly, and usually provide lower confidence results. Which is why the Israel study is so important (they seem to have high data quality) and why we're waiting for so many of these studies to come in before changing public health recommendation.
One concern I do have about the Israeli data is that the paper on waning vaccine efficacy is using de-anonymized data, which means that for privacy and national security reasons, it's more difficult for the scientific community to double check their results.
Out of the people with natural immunity from previous infection: only 1 out of 337 unvaccinated people were reinfected, and 0 out of 343 vaccinated people were reinfected.
Admittedly they didn't have a large number of participants in this cohort, so their statistical power was limited in this respect, perhaps contributing to their rational for not mentioning it as a primary finding.
[1] Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine (Moderna) https://www.nejm.org/doi/full/10.1056/nejmoa2035389
[2] Table S17. Vaccine Efficacy by SARS-COV-2 Status, Modified Intent-to-Treat https://www.nejm.org/doi/suppl/10.1056/NEJMoa2035389/suppl_f...