In this visualization showing how disease spreads through transportation networks, red and black represent the most densely infected areas, which run pretty much along I-95. Image: Christos Nicolaides/Juanes Research GroupIn an epidemic or a bioterrorist attack, the response of government officials could range from a drastic restriction of mobility—imposed isolation or total lockdown of a city—to moderate travel restrictions in some areas or simple suggestions that people remain at home. Deciding to institute any measure would require officials to weigh the costs and benefits of action, but at present there’s little data to guide them on the question of how disease spreads through transportation networks.

However, a new Massachusetts Institute of Technology (MIT) study comparing contagion rates in two scenarios—with and without travel restrictions—shows that even moderate measures of mobility restriction would be effective in controlling contagion in densely populated areas with highly interconnected road and transit networks. The researchers called the difference between infection rates in the two scenarios the “price of anarchy,” a concept from game theory that’s frequently used as a metric in studies of the controlled use of transportation networks.

The study, published online in the Journal of the Royal Society Interface, is the first to link the concept of price of anarchy to the spread of contagion. It assumes that transmission of the news of the epidemic (which influences how people select travel routes) and the epidemic itself follow the same mobility network, and uses standard epidemiological models to simulate the flow of contagion.

The researchers—Ruben Juanes, the ARCO Assoc. Prof. in Energy Studies in MIT’s Dept. of Civil and Environmental Engineering, graduate student Christos Nicolaides and research assoc. Luis Cueto-Felgueroso—used data from the 2000 U.S. census to establish the aggregate daily flux of people commuting between counties.

Previous research had shown that when individuals become aware of an epidemic, they travel not by taking the shortest route, but by taking the shortest route that avoids infected areas—even if they’re already infected—a strategy that exposes people in uninfected areas to disease. Such “selfish behavior,” as it’s called in game theory, is in direct opposition to the strategy of policymakers, who presumably would act in the benefit of the greater social good by routing infected individuals through areas where infection rates were already high.

The MIT study shows that the price of anarchy in some regions of the U.S., such as along Interstate 95 in the Northeast, would be considerable. For a moderately contagious disease—one in which every infected person infects, on average, two others—restricting individuals to specific travel routes would decrease infection rates by as much as 50%.

“In an area with high connectivity, the outcome of action coordinated by officials is going to be better than selfish action, but the economic and social costs of disruption could sometimes be too high,” Juanes says. “In other cases, there would be an enormous benefit to having authorities impose travel restrictions. The price of anarchy is a quantitative measure that identifies areas where intervention might pay off.”

“Although the study is an idealized scenario, it does give insight to authorities about when and where it would be important to impose route restrictions on human mobility in the case of an emergent outbreak or in the extreme case of bioterrorism,” says Nicolaides, the paper’s first author, who was funded by a Vergottis Fellowship from the MIT School of Engineering. “But you have to take into account the structure of the underlying mobility network and its traffic properties. Imposing policy-initiated action in areas with low traffic would not render substantial benefits for the containment of an epidemic.”

In their models, the researchers tracked an infectious disease as it spread via commuting networks in the contiguous U.S., and found that the price of anarchy for contagion varies depending on the proximity of a network to major commuting corridors.

“A commuting network may be very local, but some contagion is related to more distant travel networks,” Cueto-Felgueroso says. “That’s why we see a higher price of anarchy near major arteries, like Interstate 95 in the northeastern U.S.”

The researchers had previously studied the spread of disease through the air transportation network and found that the interconnectivity and location of an airport in the network, not just the number of travelers moving through it, were key to its ability to spread disease.

Juanes says the next step in this work is to measure the price of anarchy for contagion in the world’s 7,000 airports.

Source: Massachusetts Institute of Technology