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How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy

机译:公众对疾病信息的程度如何以及载体对照方法的影响影响疾病患病率和控制疗效

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With the development of social media, the information about vector-borne disease incidence over broad spatial scales can cause demand for local vector control before local risk exists. Anticipatory intervention may still benefit local disease control efforts; however, infection risks are not the only focal concerns governing public demand for vector control. Concern for environmental contamination from pesticides and economic limitations on the frequency and magnitude of control measures also play key roles. Further, public concern may be focused more on ecological factors (i.e., controlling mosquito populations) or on epidemiological factors (i.e., controlling infection-carrying mosquitoes), which may lead to very different control outcomes. Here we introduced a generic Ross-MacDonald model, incorporating these factors under three spatial scales of disease information: local, regional, and global. We tailored and parameterized the model for Zika virus transmitted by Aedes aegypti mosquito. We found that sensitive reactivity caused by larger-scale incidence information could decrease average human infections per patch breeding capacity, however, the associated increase in total control effort plays a larger role, which leads to an overall decrease in control efficacy. The shift of focal concerns from epidemiological to ecological risk could relax the negative effect of the sensitive reactivity on control efficacy when mosquito breeding capacity populations are expected to be large. This work demonstrates that, depending on expected total mosquito breeding capacity population size, and weights of different focal concerns, large-scale disease information can reduce disease infections without lowering control efficacy. Our findings provide guidance for vector-control strategies by considering public reaction through social media.
机译:随着社交媒体的发展,关于宽空间尺度的载体传播疾病发病率的信息可能导致局部风险存在前对局部载体控制的需求。预期干预仍可能有利于局部疾病控制努力;然而,感染风险不是对对载体控制的公共需求的唯一关键问题。对农药的环境污染和对控制措施的频率和程度的经济限制的关注也起到了关键作用。此外,公众关注可以更多地关注生态因素(即控制蚊子群)或流行病学因素(即控制感染携带的蚊子),这可能导致控制结果非常不同。在这里,我们介绍了一个通用的罗斯麦克唐纳模型,并在三个空间鳞片中纳入这些因素:地方,区域和全球。我们量身定制和参数化了Aedes Aegypti蚊子传播的Zika病毒模型。我们发现,由较大刻度入射信息引起的敏感反应性可以降低每个抗补丁能力的平均人类感染,然而,总控制效率的相关增加起着更大的作用,这导致控制效率的总体降低。当蚊子育种能力群体大大时,流行病学对生态风险的局部问题的转变可以放松敏感反应性对控制效能的负面影响。这项工作表明,根据预期的蚊虫育种能力人口大小,以及不同局灶性问题的重量,大规模疾病信息可以减少疾病感染而不会降低控制效能。我们的调查结果通过社交媒体考虑公众反应,为载体控制策略提供了指导。

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