The Effects of Media Reports on Disease Spread and Important Public Health Measurements.
The Effects of Media Reports on Disease Spread and Important Public Health Measurements.
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DOI：
10.1371/journal.pone.0141423
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Heffernan JM
中科院分区：
文献类型：
--
作者：
Collinson S;Khan K;Heffernan JM
控制流感传播以减少感染对人群的影响是公共卫生的一项重要任务。大众媒体对流行病或大流行病的报道可以向公众提供重要信息，反过来，可以诱导积极的健康行为习惯（即，洗手，保持社交距离），这将减少感染这种疾病的可能性。然而，大众媒体的疲劳会削弱这些影响。数学模型可用于研究大众媒体报道对流行病/大流行结果的影响。在这项研究中，我们采用了一个随机代理模型，提供了一个量化的大众媒体报道的变异性，在重要的公共卫生测量。我们还包括由全球公共卫生情报网络汇编的大众媒体报道数据，以研究大众媒体报道对2009年H1N1流感大流行的影响。我们发现，报告率和个人放松健康行为（媒体疲劳）的速度极大地影响了重要的公共卫生指标的变化。当将媒体报道数据纳入模型时，出现了两个感染高峰。
Controlling the spread of influenza to reduce the effects of infection on a population is an important mandate of public health. Mass media reports on an epidemic or pandemic can provide important information to the public, and in turn, can induce positive healthy behaviour practices (i.e., handwashing, social distancing) in the individuals, that will reduce the probability of contracting the disease. Mass media fatigue, however, can dampen these effects. Mathematical models can be used to study the effects of mass media reports on epidemic/pandemic outcomes. In this study we employ a stochastic agent based model to provide a quantification of mass media reports on the variability in important public health measurements. We also include mass media report data compiled by the Global Public Health Intelligence Network, to study the effects of mass media reports in the 2009 H1N1 pandemic. We find that the report rate and the rate at which individuals relax their healthy behaviours (media fatigue) greatly affect the variability in important public health measurements. When the mass media reporting data is included in the model, two peaks of infection result.