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在线用户信息共享与政府疫情防控策略——基于演化博弈模型。

Online User Information Sharing and Government Pandemic Prevention and Control Strategies-Based on Evolutionary Game Model.

机构信息

Center for Innovation and Development Studies, Beijing Normal University, Zhuhai, China.

Economics and Resource Management, Beijing Normal University, Beijing, China.

出版信息

Front Public Health. 2021 Nov 15;9:747239. doi: 10.3389/fpubh.2021.747239. eCollection 2021.

DOI:10.3389/fpubh.2021.747239
PMID:34869164
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8636129/
Abstract

The sharing and utilization of online users' information has become an important resource for governments to manage COVID-19; however, it also involves the risk of leakage of users' personal information. Online users' sharing decisions regarding personal information and the government's COVID-19 prevention and control decisions influence each other and jointly determine the efficiency of COVID-19 control and prevention. Using the evolutionary game models, this paper examines the behavioral patterns of online users and governments with regard to the sharing and disclosure of COVID-19 information for its prevention and control. This paper deduce the reasons and solutions underlying the contradiction between the privacy risks faced by online users in sharing information and COVID-19 prevention and control efforts. The inconsistency between individual and collective rationality is the root cause of the inefficiency of COVID-19 prevention and control. The reconciliation of privacy protection with COVID-19 prevention and control efficiency can be achieved by providing guidance and incentives to modulate internet users' behavioral expectations.

摘要

在线用户信息的共享和利用已成为政府管理 COVID-19 的重要资源；然而，这也涉及到用户个人信息泄露的风险。在线用户个人信息共享决策和政府 COVID-19 防控决策相互影响，共同决定 COVID-19 防控的效率。本文使用进化博弈模型，考察了在线用户和政府在 COVID-19 防控中信息共享和披露的行为模式。本文推导出了在线用户在信息共享方面面临的隐私风险与 COVID-19 防控努力之间矛盾的原因和解决方案。个体理性与集体理性之间的不一致是 COVID-19 防控效率低下的根本原因。通过为调节互联网用户的行为预期提供指导和激励，可以实现隐私保护与 COVID-19 防控效率的协调。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/d1cab5b89375/fpubh-09-747239-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/514401c5e4d6/fpubh-09-747239-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/6b5e6db54dbd/fpubh-09-747239-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/493f3471e3c1/fpubh-09-747239-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/d1cab5b89375/fpubh-09-747239-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/514401c5e4d6/fpubh-09-747239-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/6b5e6db54dbd/fpubh-09-747239-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/493f3471e3c1/fpubh-09-747239-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a362/8636129/d1cab5b89375/fpubh-09-747239-g0004.jpg

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