Back

Modeling the USA Winter 2021 Resurgence

Eng, G.

2022-01-07 epidemiology
10.1101/2022.01.06.22268868 medRxiv
Show abstract

The current USA 2021 CoVID-19 Winter Resurgence is modeled here with the same function used for analyzing prior USA CoVID-19 waves: O_FD O_INLINEFIG[Formula 1]C_INLINEFIGM_FD(1)C_FD Here, N(t) gives the total number of CoVID-19 cases above the previous baseline, and tR sets the initial tdbl = tR (ln 2) pandemic tdbl doubling time. Larger S values indicate that uninfected people are improving their pandemic mitigation efforts, such as Social Distancing and vaccinations ; while{delta} 0 > 0 accelerates the post-peak [Formula] tail-off, and is empirically associated with mask-wearing. The pandemic wave end is when N(t) no longer increases. The USA Summer 2021 resurgence results from our prior medrxiv.org preprints* were used as a baseline. By 11/15/2021, an additional [Formula] cases above baseline were found, signaling the USA Winter 2021 resurgence. This CoVID-19 wave is still in its initial stages. Presently, our analysis indicates that this CoVID-19 wave can infect virtually all susceptible persons; just like the initial stage of the USA Summer 2021 resurgence. Data up through 12/30/2021 gives these paremeter values: O_FD O_INLINEFIG[Formula 2]C_INLINEFIGM_FD(2)C_FD These values are identical to the prior 2020 USA Winter Resurgence results. Also, the [Formula] and the [Formula] values are similar. However, while the Winter 2020 Resurgence showed a significant mask-wearing effect [Formula], this initial USA Winter 2021 Resurgence shows practically no mask-wearing effects [Formula]. If mask-wearing were to quickly rise to the Winter 2020 levels, it would give these projected totals: O_FD O_INLINEFIG[Formula 3]C_INLINEFIGM_FD(3)C_FD More robust mask-wearing and enhanced Social Distancing measures could further reduce these values (with 3 Figures).

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.