文章基本信息

标题：Exploring the Effect of Misinformation on Infectious Disease Transmission
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作者：Nabeela Mumtaz ; Caroline Green ; Jim Duggan 等
期刊名称：Systems
电子版ISSN：2079-8954
出版年度：2022
卷号：10
期号：2
页码：50
DOI：10.3390/systems10020050
语种：English
出版社：MDPI Publishing
摘要：Vaccines are one of the safest medical interventions in history and can protect against infectious diseases and ensure important health benefits. Despite these advantages, health professionals and policymakers face significant challenges in terms of vaccine rollout, as vaccine hesitancy is a global challenge, and varies greatly with context, i.e., place, time, and vaccines. The internet has rapidly become a widely used information source for health-related issues, and a medium where misinformation in relation to vaccines on social media can spread rapidly and influence many. This research models the impact of vaccine confidence on the transmission of infectious diseases. This involves two interacting contagion models, one for the disease itself, and the other for the public’s views on vaccination. Sensitivity analysis and loop impact analysis are used to explore the effects of misinformation and vaccine confidence on the spread of infectious diseases. The analysis indicates that high vaccine confidence has a reinforcing effect on vaccination levels and helps to reduce the spread of an infectious disease. The results show that higher vaccine confidence can mitigate against the impact of misinformation, and by doing so can contribute to the enhanced control of an infectious disease outbreak.