I think people are searching for answers that no one has yet, and also for leaders to gauge both sides of the impact of any response.
We must admit that a severe economic impact is also a severe health impact. That much is settled science.
So one reasonable question becomes how much damage, not just in terms of dollars, but in terms of lives, would for example a GDP of -25% cause?
The impact of the virus to the percentage of the population that requires treatment is magnified significantly by an overrun healthcare system. That is a salient point. It means that spreading out infections over a longer time will allow better treatment for hospitalized COVID patients on average and save lives.
But graphics like the famous “flatten the curve” animation [1] are unfortunately quite misleading. The “capacity” line is drawn crossing some point on the y-axis which makes the graphic look compelling. The true ICU/ventilator capacity line is perhaps 4 pixels off the y-axis on that chart. We also don’t have any x-axis units, how many months would the curve have to stretch to keep the number of cases under capacity? And there’s another factor, for as long as hospital ICUs and healthcare dollar spend is dominated by COVID cases, there are all the other healthcare needs of the country / world which are suffering.
It’s reasonable to expect a macro level analysis of the net health impact of non-pharmaceutical interventions (NPI) such as widespread and long-term suppression. I have yet to see a compelling scientific analysis on this topic.
Even the UK Imperial College report admits that there is not a clear cut moral or ethical “answer” based on the severe economic and health impacts of taking dramatic action to populations that otherwise would not be severely impacted by COVID.
The thing right now that’s confounding me is trying to comprehend how China and South Korea were able to, not flatten, but stop exponential growth, given the level of spread that we would expect to have occurred before suppressive measures were taken, based on the unmitigated R0 range. There were a lot of people traveling out of Wuhan before the lockdown [2], and yet the impact to greater China was relatively minimal, while most of China is now back to work.
Frankly it gives me hope that there’s reason to believe, particularly with warmer weather coming, that it’s easier to get R0 below 1 than we might otherwise suspect. It would be a welcome relief to be spared having to make the extremely difficult choice for or against long-term suppressive measures.
[1] - https://images.app.goo.gl/FtdN3kYowN2bSD3HA
[2] - https://www.nytimes.com/interactive/2020/03/22/world/coronav...