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Infectious diseases are still a major global burden for modern societycausing 13 million deaths annually. One way to reduce the morbidity andmortality rates from infectious diseases is through preventative or targetedvaccinations. Current vaccination strategies, however, rely on the highlyspecific individual contact information that is difficult and costly to obtain,in order to identify influential spreading individuals. Current approaches alsofocus only on direct contacts between individuals for spreading, and disregardindirect transmission where a pathogen can spread between one infectedindividual and one susceptible individual that visit the same location within ashort time-frame without meeting. This paper presents a novel vaccinationstrategy that relies on coarse-grained contact information, both direct andindirect, that can be easily and efficiently collected. Rather than trackingexact contact degrees of individuals, our strategy uses the types of placespeople visit to estimate a range of contact degrees for individuals,considering both direct and indirect contacts. We conduct extensive simulationsto evaluate the performance of our strategy in comparison to the state of theart's vaccination strategies. Results show that our strategy achievescomparable performance to the oracle approach and outperforms all existingstrategies when considering indirect links.

Vaccination strategies on dynamic networks with indirect transmission links and limited contact information