https://www.wsj.com/articles/what-covid-models-get-wrong-11592435169?mod=opinion_lead_pos1
Here we go again. The University of Washington’s Institute for Health Metrics and Evaluation has issued a new forecast that Covid-19 fatalities would spike over the summer in states that have moved faster to reopen. Cue the media drumbeat for another lockdown. Maybe someone should first explain why the models were wrong about so much the last time.
Take New York, where Gov. Andrew Cuomo locked down the state in mid-March based on dire warnings. His public health experts projected the state would need as many as 140,000 hospital beds and 40,000 intensive care units—two to three times more regular hospital beds and 10 times more ICU beds than were available. The UW model forecast that 49,000 regular beds and 8,000 ICU beds would be needed at the peak.
New York was hit hard, but Covid-19 hospital bed utilization in New York peaked at 18,825 and 5,225 for ICUs in mid-April. Even in New York City, hospital utilization never exceeded 85% of capacity and 89% for ICUs. Government-run hospitals in low-income neighborhoods with the most cases were unprepared, but they were ill-managed before the pandemic.
New York was the country’s frontline in the coronavirus attack, and caution was needed in the early days because so little was known about the virus. The original UW model, which was based on the experiences in Italy and Wuhan, assumed that strict lockdowns would curb infections, reduce hospitalizations and lower deaths faster than they actually did in the Northeast.
Asked last month about when fatalities and hospitalizations would meet state thresholds for reopening, Mr. Cuomo responded: “All the early national experts, ‘Here’s my projection model.’ . . . They were all wrong. They were all wrong. . . . There are a lot of variables. I understand that. We didn’t know what the social distancing would actually amount to. I get it, but we were all wrong.”