Submitted by Sara Serradas Duarte on Sat, 05/08/2017 - 22:12
Information about social networks in rural villages in the developing world is costly, time-consuming to collect and usually unavailable. Therefore, current immunisation strategies target people with established community roles: healthcare workers, teachers, and local officials.
Cambridge researches found that a network theory approach-based algorithm leading to the identification of those with "most connections to sick people" can be more effective and easier to deploy than current policies in preventing disease spread.
Please access the publication here.