Unfortunately, the radio location isn't marked on your map, so you'll need to hunt around for it. In these cases, people who are untreated can infect others over a lifetime, but enough health care providers and resources can move the infection rate toward zero.To begin the Easter egg, you need to find the radio. The team’s underlying goal is to explore the impact of medical intervention on the infection rate of diseases like HIV and hepatitis C. The zombie scenario is an interesting way to encourage out-of-the-box thinking and raise awareness, Hengartner says. But that doesn’t really matter to the researchers. Whether clerics could actually heal zombies is up for debate most universes don’t allow the undead to come back to life. Adding some clerics to deal with zombies one-on-one might seem like a small intervention, she says, but you can “pull the levers of how effective your clerics are” to swing from one outcome to another. The SCZR model allows you to study how health care resources affect the outcome of such an outbreak, Hengartner explains.Ĭlerics are a fascinating addition to the SI model, says Stacey Smith?, a math and statistics professor at the University of Ottawa and coauthor of the first zombie apocalypse modeling paper, published in 2009 (the question mark is part of her name). But when the number of clerics or recovery rate was high, the clerics healed all the zombies to save humanity. When the number of clerics or recovery rate was low, the SCZR epidemic behaved like an SI epidemic and the zombies prevailed. Its predictions revealed two fundamentally different paths. They ran the SCZR model for different infection rates, recovery rates, and numbers of clerics. The researchers call their model the susceptible-cleric-zombie-recovered (SCZR) model. Clerics could heal infected people or reduce the rate of infection, but they could also be infected. The team also added a new category of susceptibles to the mix: Clerics (C). To capture this, the team treated people (and zombies) as active matter - as self-propelled, interacting particles that behave like birds in a flock or fish in a school - where clustering naturally emerges. “But there is some clustering in how we interact,” he says. Typical SI models treat people like molecules in an ideal gas, bumping into each other randomly, explains Hengartner. In an SI epidemic, the number of uninfected people always falls to zero over time. This model applies to lifelong infectious diseases for which there is no recovery. In this latest work, led by Cynthia Olson Reichhardt, also a senior scientist at LANL, researchers modified the susceptible-zombie (SZ) model - or, more generally, the susceptible-infected (SI) model of an epidemic. Researchers have applied epidemiology models to a zombie outbreak for more than a decade, and it doesn’t look good. In terms of modeling, an epidemic is “a chain reaction on a set of interacting particles,” explains Nicholas Hengartner, a senior scientist at LANL and coauthor of the new paper. And, like other diseases, its spread can be mathematically modeled. Less the drama of plot twists and characters fighting for survival, the zombie apocalypse tells the story of an uncontrolled epidemic. With no medical or magical intervention, all people are eventually zombified. After a bite, humans become ravaging zombies looking for their next meal. In most fictional stories of a zombie apocalypse, the reanimated corpses feed on humans. Researchers from Los Alamos National Lab (LANL) and Babeᶊ-Bolyai University in Romania have developed a model for investigating this surprisingly relevant question, which they published in Physical Review E on Feb. How many doctors does it take to control a zombie outbreak? A modified epidemiology model highlights the role of medical treatment in countering the spread of infections.
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