Back

A Divide and Conquer Strategy against the Covid-19 Pandemic?!

Mangat, P. S.

2020-05-09 epidemiology
10.1101/2020.05.05.20092155 medRxiv
Show abstract

The concern about (socio-)economic consequences of collective lockdowns in the Covid-19 pandemic calls for alternative strategies. We consider a divide and conquer strategy in which a high risk group (HRG) is put on strict isolation, whereas the remainder of the population is exposed to the virus, building up immunity against Covid-19. The question is whether this strategy may suppress the effective reproduction number below the critical value of [Formula] without further lockdown once the HRG is released from isolation. While this proposal appears already rather academic, we show that [Formula] can only be obtained provided that the HRG is less than ~ 20 - 30% of the total population. Hence, this strategy is likely to fail in countries with a HRG larger than the given upper bound. In addition, we argue that the maximum infection rate occurring in this strategy is likely to exceed realistic capacities of most health care systems. While the conclusion is rather negative in this regard, we emphasise that the strategy of stopping the curve at an early stage of the Covid-19 pandemic has a chance to work out. The required duration of the lockdown is estimated to be {tau} ~ 14 days/[Formula] (up to some order one factor) for [Formula], provided a systematic tracing strategy of new infections exists for the subsequent relaxation phase. In this context we also argue why [Formula] remains the crucial parameter which needs to be accurately monitored and controlled.

Matching journals

The top 10 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.