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2023 | OriginalPaper | Chapter

Overcoming Vaccine Hesitancy by Multiplex Social Network Targeting

Authors : Marzena Fügenschuh, Feng Fu

Published in: Complex Networks and Their Applications XI

Publisher: Springer International Publishing

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Abstract

Understanding the impact of social factors on disease prevention and control is one of the key questions in behavioral epidemiology. The interactions of disease spreading and human health behavior such as vaccine uptake give rise to rich dueling dynamics of biological and social contagions. In light of this, it remains largely an open problem for optimal network targeting in order to harness the power of social contagion for behavior and attitude changes. Here we address this question explicitly in a multiplex network setting. Individuals are situated on two layers of networks. On the disease transmission network layer, they are exposed to infection risks. In the meantime, their opinions and vaccine uptake behavior are driven by the social discourse of their peer influence network layer. While the disease transmits through direct close contacts, vaccine views and uptake behaviors spread interpersonally within a long-range potentially virtual network. Our comprehensive simulation results demonstrate that network-based targeting with initial seeds of pro-vaccine supporters significantly influences the ultimate adoption rates of vaccination and thus the extent of the epidemic outbreak.

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Footnotes
1
This method is designed to find communities in, among others, scale-free networks.
 
2
The computations were conducted on 3.2 GHz 16-Core Intel Xeon W with Turbo Boost up to 4.4 GHz and 768 GB RAM.
 
Literature
1.
go back to reference Bedson, J., et al.: A review and agenda for integrated disease models including social and behavioural factors. Nature Human Beh. 5(7), 834–846 (2021)CrossRef Bedson, J., et al.: A review and agenda for integrated disease models including social and behavioural factors. Nature Human Beh. 5(7), 834–846 (2021)CrossRef
2.
go back to reference Bhattacharyya, S., Bauch, C.: Mathematical models of the interplay between individual vaccinating decisions etc. Hum. Vac. Immun. 8(6), 842–844 (2012)CrossRef Bhattacharyya, S., Bauch, C.: Mathematical models of the interplay between individual vaccinating decisions etc. Hum. Vac. Immun. 8(6), 842–844 (2012)CrossRef
3.
go back to reference Bhattacharyya, S. et al.: The impact of rare but severe vaccine adverse events on behaviour-disease dynamics: a network model. Sci. Rep. 9(1) (2019) Bhattacharyya, S. et al.: The impact of rare but severe vaccine adverse events on behaviour-disease dynamics: a network model. Sci. Rep. 9(1) (2019)
4.
go back to reference Campbell, E., Galvani, A.P.: Complex social contagion makes networks more vulnerable to disease outbreaks. Sci. Rep. 3(1) (2013) Campbell, E., Galvani, A.P.: Complex social contagion makes networks more vulnerable to disease outbreaks. Sci. Rep. 3(1) (2013)
5.
go back to reference Cardillo, A. et al.: Evolutionary vaccination dilemma in complex networks. Phys. Rev. E 88 (2013) Cardillo, A. et al.: Evolutionary vaccination dilemma in complex networks. Phys. Rev. E 88 (2013)
6.
go back to reference Cascini, F. et al.: Attitudes, acceptance and hesitancy among the general population worldwide to receive the covid-19 vaccines. EClin. Med. 40 (2021) Cascini, F. et al.: Attitudes, acceptance and hesitancy among the general population worldwide to receive the covid-19 vaccines. EClin. Med. 40 (2021)
7.
go back to reference Chang, H.H., Fu, F.: Co-contagion diffusion on multilayer networks. Appl. Netw. Sci. 4(1) (2019) Chang, H.H., Fu, F.: Co-contagion diffusion on multilayer networks. Appl. Netw. Sci. 4(1) (2019)
8.
go back to reference Chen, X., Feng, F.: Imperfect vaccine and hysteresis. Proc. R. Soc. B 286(1894), 20182406 (2019)CrossRef Chen, X., Feng, F.: Imperfect vaccine and hysteresis. Proc. R. Soc. B 286(1894), 20182406 (2019)CrossRef
9.
go back to reference Cohen, R., Havlin, S., ben Avraham, D.: Efficient immunization strategies for computer networks and populations. Phys. Rev. Lett. 91(24) (2003) Cohen, R., Havlin, S., ben Avraham, D.: Efficient immunization strategies for computer networks and populations. Phys. Rev. Lett. 91(24) (2003)
10.
go back to reference Cohen, R., Havlin, S., ben Avraham, D.: Epidemic processes in complex networks. Phys. Rev. Lett. 91(24) (2003) Cohen, R., Havlin, S., ben Avraham, D.: Epidemic processes in complex networks. Phys. Rev. Lett. 91(24) (2003)
11.
go back to reference Coustasse, A., Kimble, C., Maxik, K.: Covid-19 and vaccine hesitancy. J. Ambulatory Care Manage. 44(1) (2021) Coustasse, A., Kimble, C., Maxik, K.: Covid-19 and vaccine hesitancy. J. Ambulatory Care Manage. 44(1) (2021)
12.
go back to reference Determann, D. et al.: Acceptance of vaccinations in pandemic outbreaks: a discrete choice experiment. PLOS ONE 9(7) (2014) Determann, D. et al.: Acceptance of vaccinations in pandemic outbreaks: a discrete choice experiment. PLOS ONE 9(7) (2014)
13.
go back to reference Fu, F. et al.: Imitation dynamics of vaccination behaviour on social networks. Proc. R. Soc. B 278(1702) (2011) Fu, F. et al.: Imitation dynamics of vaccination behaviour on social networks. Proc. R. Soc. B 278(1702) (2011)
14.
go back to reference Gómez, S. et al.: Diffusion dynamics on multiplex networks. Phys. Rev. Lett. 110(2) (2013) Gómez, S. et al.: Diffusion dynamics on multiplex networks. Phys. Rev. Lett. 110(2) (2013)
15.
go back to reference Gupta, N., Singh, A., Cherifi, H.: Centrality measures for networks with community structure. Phys. A Stat. Mech. Appl. 452 (2016) Gupta, N., Singh, A., Cherifi, H.: Centrality measures for networks with community structure. Phys. A Stat. Mech. Appl. 452 (2016)
16.
go back to reference Hens, N. et al.: The SIR Model, pp. 25–58. Springer New York (2012) Hens, N. et al.: The SIR Model, pp. 25–58. Springer New York (2012)
17.
go back to reference Himelboim, I., Golan, G.J.: A social networks approach to viral advertising: the role of primary, contextual, and low influencers. Soc. Med. + Soc. 5(3) (2019) Himelboim, I., Golan, G.J.: A social networks approach to viral advertising: the role of primary, contextual, and low influencers. Soc. Med. + Soc. 5(3) (2019)
18.
go back to reference Hudson, A., Montelpare, W.J.: Predictors of vaccine hesitancy: implications for covid-19 public health messaging. Int. J. Env. Res. Pub. Health 18(15) (2021) Hudson, A., Montelpare, W.J.: Predictors of vaccine hesitancy: implications for covid-19 public health messaging. Int. J. Env. Res. Pub. Health 18(15) (2021)
19.
go back to reference Jedrzejewski, A., Sznajd-Weron, K.: Statistical physics of opinion formation: is it a spoof? Comptes Rendus Physique 20(4) (2019) Jedrzejewski, A., Sznajd-Weron, K.: Statistical physics of opinion formation: is it a spoof? Comptes Rendus Physique 20(4) (2019)
20.
go back to reference Kahana, D., Yamin, D.: Accounting for the spread of vaccination behavior to optimize influenza vaccination programs. PLOS ONE 16, 1–15 (2021)CrossRef Kahana, D., Yamin, D.: Accounting for the spread of vaccination behavior to optimize influenza vaccination programs. PLOS ONE 16, 1–15 (2021)CrossRef
21.
go back to reference Kennedy, J.: Vaccine hesitancy: a growing concern. Pediatric Drugs 22(2) (2020) Kennedy, J.: Vaccine hesitancy: a growing concern. Pediatric Drugs 22(2) (2020)
22.
go back to reference Kostygina, G. et al.: Boosting health campaign reach and engagement through use of social media influencers and memes. Social Media + Society 6(2) (2020) Kostygina, G. et al.: Boosting health campaign reach and engagement through use of social media influencers and memes. Social Media + Society 6(2) (2020)
23.
go back to reference Larson, H.J.: Negotiating vaccine acceptance in an era of reluctance. Human Vaccines Immunotherapeutics 9(8) (2013) Larson, H.J.: Negotiating vaccine acceptance in an era of reluctance. Human Vaccines Immunotherapeutics 9(8) (2013)
24.
go back to reference Mao, L.: Modeling triple-diffusions of infectious diseases, information, and preventive behaviors etc. Appl. Geography 50 (2014) Mao, L.: Modeling triple-diffusions of infectious diseases, information, and preventive behaviors etc. Appl. Geography 50 (2014)
25.
go back to reference Mao, L., Yang, Y.: Coupling infectious diseases, human preventive behavior, and networks. Soc. Sc. Med. 74(2) (2012) Mao, L., Yang, Y.: Coupling infectious diseases, human preventive behavior, and networks. Soc. Sc. Med. 74(2) (2012)
26.
go back to reference Masuda, N.: Immunization of networks with community structure. New J. Phys. 11(12) (2009) Masuda, N.: Immunization of networks with community structure. New J. Phys. 11(12) (2009)
27.
go back to reference Nayar, R.K. et al.: Methods to overcome vaccine hesitancy. Lancet 393(10177) (2019) Nayar, R.K. et al.: Methods to overcome vaccine hesitancy. Lancet 393(10177) (2019)
28.
go back to reference Newman, M.E.J.: Spread of epidemic disease on networks. Phys. Rev. E 66 (2002) Newman, M.E.J.: Spread of epidemic disease on networks. Phys. Rev. E 66 (2002)
29.
go back to reference Nguyen, V.X. et al.: Opinion formation on multiplex scale-free networks. EPL (Europhys. Lett.) 121(2) (2018) Nguyen, V.X. et al.: Opinion formation on multiplex scale-free networks. EPL (Europhys. Lett.) 121(2) (2018)
30.
go back to reference Pastor-Satorras, R., Castellano, C., Van Mieghem, P., Vespignani, A.: Epidemic processes in complex networks. Rev. Mod. Phys. 87 (2015) Pastor-Satorras, R., Castellano, C., Van Mieghem, P., Vespignani, A.: Epidemic processes in complex networks. Rev. Mod. Phys. 87 (2015)
31.
go back to reference Pastor-Satorras, R., Vespignani, A.: Immunization of complex networks. Phys. Rev. E 65(3) (2002) Pastor-Satorras, R., Vespignani, A.: Immunization of complex networks. Phys. Rev. E 65(3) (2002)
32.
go back to reference Salathé, M., Khandelwal, S.: Assessing vaccination sentiments with online social media. PLOS Comp. Biol. 7, 1–7 (2011)CrossRef Salathé, M., Khandelwal, S.: Assessing vaccination sentiments with online social media. PLOS Comp. Biol. 7, 1–7 (2011)CrossRef
33.
go back to reference Shaham, A. et al.: Personal and social patterns predict influenza vaccination decision. BMC Public Health 20 (2020) Shaham, A. et al.: Personal and social patterns predict influenza vaccination decision. BMC Public Health 20 (2020)
34.
go back to reference Sîrbu, A. et al.: Opinion Dynamics: Models, Extensions and External Effects, pp. 363–401. Springer International Publishing (2017) Sîrbu, A. et al.: Opinion Dynamics: Models, Extensions and External Effects, pp. 363–401. Springer International Publishing (2017)
35.
go back to reference WHO: Ten threats to global health in 2019 (2019). Accessed on 20 Jan 2021 WHO: Ten threats to global health in 2019 (2019). Accessed on 20 Jan 2021
36.
go back to reference Zhang, H.-F. et al.: Effects of behavioral response and vaccination policy on epidemic spreading. Sci. Rep. 4(1) (2014) Zhang, H.-F. et al.: Effects of behavioral response and vaccination policy on epidemic spreading. Sci. Rep. 4(1) (2014)
37.
go back to reference Zhao, D. et al.: Immunization of epidemics in multiplex networks. PLOS ONE 9(11) (2014) Zhao, D. et al.: Immunization of epidemics in multiplex networks. PLOS ONE 9(11) (2014)
Metadata
Title
Overcoming Vaccine Hesitancy by Multiplex Social Network Targeting
Authors
Marzena Fügenschuh
Feng Fu
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-21127-0_47

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