English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The SARS-CoV-2 pandemic peaked very early in comparison to the thresholdspredicted by an analysis of prior lockdown regimes. The most convenientexplanation is that some, external factor changed the value of the basicreproduction number, $r_{\rm 0}$; and there certainly are arguments for this.Other factors could, nonetheless, have played a role. This research attempts toreconcile the observed peak with the thresholds predicted by lockdown regimessimilar to the one in force at the time. It contemplates the effect of two,different, hypothetical errors in the data: The first is that the true level ofinfection has been underestimated by a multiplicative factor, while the secondis that of an imperceptible, pre-existing, immune fraction of the population.While it is shown that it certainly is possible to manufacture the perceptionof an early peak as extreme as the one observed, solely by way of these twophenomena, the values need to be fairly high. The phenomena would not, by anymeasure, be insignificant. It also remains an inescapable fact that the earlypeak in infections coincided with a fairly profound change in $r_{\rm 0}$; inall the contemplated scenarios of data-deficiency.

Could Deficiencies in South African Data Be the Explanation for Its Early SARS-CoV-2 Peak?