A twenty-year-old idea from network science is that vaccination campaigns would be more effective if high-contact individuals were preferentially targeted. Implementation is impeded by the ethical and practical problem of differentiating vaccine access based on a personal characteristic that is hard-to-measure and private. Here, we propose the use of occupational category as a proxy for connectedness in a contact network. Using survey data on occupation-specific contact frequencies, we calibrate a model of disease propagation in populations undergoing varying vaccination campaigns. We find that vaccination campaigns that prioritize high-contact occupational groups achieve similar infection levels with half the number of vaccines, while also reducing and delaying peaks. The paper thus identifies a concrete, operational strategy for dramatically improving vaccination efficiency in ongoing pandemics.
【저자키워드】 Risk factors, Infectious diseases, Epidemiology, Mathematics and computing, 【초록키워드】 Vaccine, vaccination, Vaccines, Population, Pandemics, group, disease, Contact, Efficiency, frequencies, individual, effective, identify, reducing, infection level, personal characteristic, 【제목키워드】 vaccination, Effectiveness, raise,