The study, which has not been published in a peer-reviewed journal, was released on Monday by London’s Imperial College COVID-19 Response Team, which says it is advising the UK government on its response strategy. The study says it used modeling that has informed the approach of the British government in recent weeks; on Monday, the government abruptly called on vulnerable and elderly Britons to isolate themselves for 12 weeks, and introduced a variety of social distancing and quarantine recommendations that days earlier seemed distant prospects. Also on Monday, President Donald Trump unveiled a 15-day plan to slow new infections in the United States, including more stringent recommendations about staying home and avoiding groups of 10 people or more, among other steps.

An author of the study, Imperial College Professor Neil Ferguson, said in an email to CNN on Tuesday the study was given to the White House Coronavirus Task Force over the weekend and the US Centers for Disease Control and Prevention on Monday.

“The White House task force received it late Sunday afternoon, CDC yesterday,” Ferguson wrote to CNN. “To be honest, I don’t know how much it influenced decision making. But I hear Dr Birx cited it. We will be having a much more detailed discussion with the task force tomorrow morning.”

During a briefing on Monday, White House coronavirus response coordinator Dr. Deborah Birx said, “We have been working on models, day and night, around the globe … We’ve been working with groups in the United Kingdom. So we had new information coming out from a model.” She did not specify which model she was referring to.

CNN has reached out to government officials in the UK and United States about the report.

Epidemiological studies are based on modeling from available data, and rely on assumptions that can later prove false, and generate predictions that can appear alarming as they deal with the pandemic’s entire term. This is one of many models. While mitigation “focuses on slowing but not necessarily stopping epidemic spread,” the study explains, suppression, “aims to reverse epidemic growth, reducing case numbers to low levels and maintaining that situation indefinitely.”

The study says “the most effective mitigation strategy” would still lead to hospitals — even at surge capacity — needing eight times as many intensive care unit beds as they could provide in the UK. Yet the study also notes that “optimal mitigation policies” — such as combining the home isolation of suspected cases, home quarantine of those living with suspected cases and social distancing among the elderly and others at high risk of severe disease — might reduce peak health care demand in the UK by two-thirds and deaths by half.

“For countries able to achieve it, this leaves suppression as the preferred policy option,” the report concludes.

For the study, researchers used a simulation model that was originally developed to support pandemic flu planning and modified it to examine the impact of certain scenarios for the coronavirus pandemic. Their models show that under a mitigation strategy: “even if all patients were able to be treated, we predict there would still be in the order of 250,000 deaths in GB, and 1.1-1.2 million in the US.” It was not immediately clear what length of time researchers assumed to be the full course of the pandemic.

The study concludes that the suppression strategy will likely lead to the disease quickly spreading again once these measures are lifted, and that such measures will be needed periodically until a vaccine is found. It says: “The major challenge of suppression is that this type of intensive intervention package — or something equivalently effective at reducing transmission — will need to be maintained until a vaccine becomes available (potentially 18 months or more) — given that we predict that transmission will quickly rebound if interventions are relaxed.”

CNN’s Jacqueline Howard contributed to this report.

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