Abstract
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.
| Original language | English |
|---|---|
| Article number | 737 |
| Pages (from-to) | 1-13 |
| Journal | Scientific Reports |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 14 Jan 2022 |
Bibliographical note
Funding Information:This research was supported in part by a 23k grant from the UU FSS COVID-19 fund to V.B. and A.v.d.R. H.N. acknowledges support from the Netherlands Organization for Health Research and Development (ZonMw; Grant No. 91216062). There was no further involvement of the funding organizations regarding the study’s conceptualization, design, data collection/generation, analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2022, The Author(s).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19/prevention & control
- Contact Tracing
- Disease Transmission, Infectious/prevention & control
- Humans
- Immunization Programs/ethics
- Occupational Health
- Occupations
- Pandemics/prevention & control
- Vaccination
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