The NYC Preparedness & Recovery Institute (PRI) is reflecting on the city’s response to the COVID-19 public health emergency and pandemic.A newly published article, COVID-19, Five Years Later: What We’re Learning About NYC’s Societal Response to Emergencies, outlines interim insights from PRI’s ongoing COVID-19 Review, which draws from hundreds of reports, interviews, and community discussions to assess the city’s response and identify strategies to strengthen emergency preparedness moving forward.

Almost one in ten people (9.1%) in England think they could have Long Covid but aren’t sure, according to a new analysis of NHS England survey data by the University of Southampton.

Researchers also found that 4.8% of people reported having Long Covid, with higher rates among people living in deprived areas, people with particular ethnic backgrounds, parents or carers, and those with another long-term condition.

Artificial intelligence (AI) deep learning models can help businesses set optimal prices for goods or service by extrapolating prices from historical sales data, which generally show that sales go down as prices go up. But these predictions become unreliable when circumstances differ from the time the source data was generated, such as when the COVID-19 pandemic disrupted manufacturing supply chains and drastically altered consumer demands.

UC Riverside School of Business scholars and their collaborators solved this problem by developing a deep learning model that considers both historical sales data and the economic theory of demand. Economic theory of demand accounts for factors such as income levels, consumer preferences, and consumption patterns under various circumstances such as holidays or extreme events like pandemics and natural disasters.