Not sure why this is getting so many upvotes - the title would be good news to hear, but perhaps not many have been able to review the paper thoroughly. This i

Not sure why this is getting so many upvotes - the title would be good news to hear, but perhaps not many have been able to review the paper thoroughly. This is a relatively low quality paper that presents very tenuous supporting evidence of it's claims & conclusions. There is no randomization, placebo-control, or blinding - nor any serious consideration or analysis of confounding factors such as natural immunity, comorbidities, and other demographic biases. Evidence that doesn't fit their hypothesis (eg Australia) is dismissed with barely a hand wave. The P-values & correlation coefficients are borderline statistically insignificant, the citations are comically sparse, and the conclusions lack a critical & balanced evaluation with respect to the existing literature. We shall see if the paper passes any legitimate peer review - I'd bet against it. Quoting from OP: > we first analyzed the correlation between the rates of full vaccination and the point mutation frequency (Mf) of COVID-19 delta variants’ genome in 20 countries > Complete SARS-CoV-2 genome sequences with high coverage from June 20 to July 3 2021 in 20 countries were collected from the Global Initiative on Sharing All Influenza Data (GISAID) > We found that Mf was logarithmically reduced as the full vaccination rate increased in 16 of the 20 countries (R2=0.878, Figure 1A) > With 10.8% vaccinated rate, Mf was exceptionally low in Australia, likely as a result of the national lockdown restrictions. > In contrast, Mf is higher in Japan, Switzerland, and United States, suggesting that their mitigation strategies have been less successful > We chronologically analyzed SARS-CoV-2 delta variant sequences in the UK (N=27,344), India (N=4,451) and Australia (N=305) from 13 February to 3 July 2021, respectively in the GISAID > Genome alignments and analysis using the Tajima D test, a neutrality statistic widely used in population genetics, were carried out > The Tajima D test (D’) compares pairwise nucleotide diversity (π, the average number of nucleotide differences per site between two sequences) and total polymorphism to infer selection and demographic events > We observed that π was significantly lower in the UK (π< 1.5 × 10−4) than others which emerged after April 24, 2021 (π> 2.0 × 10−4; p<0.01) > we recommend that: 1) universal vaccination should be administered as soon as possible to suppress the generation of deadly mutations