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.
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