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首页> 外文期刊>Proceedings of the Royal Society. Biological sciences >Calling in sick: impacts of fever on infra-urban human mobility
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Calling in sick: impacts of fever on infra-urban human mobility

机译:呼唤病人:发烧对城市下人口流动性的影响

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摘要

Pathogens inflict a wide variety of disease manifestations on their hosts, yet the impacts of disease on the behaviour of infected hosts are rarely studied empirically and are seldom accounted for in mathematical models of transmission dynamics. We explored the potential impacts of one of the most common disease manifestations, fever, on a key determinant of pathogen transmission, host mobility, in residents of the Amazonian city of Iquitos, Peru. We did so by comparing two groups of febrile individuals (dengue positive and dengue-negative) with an afebrile control group. A retrospective, semi-structured interview allowed us to quantify multiple aspects of mobility during the two-week period preceding each interview. We fitted nested models of each aspect of mobility to data from interviews and compared models using likelihood ratio tests to determine whether there were statistically distinguishable differences in mobility attributable to fever or its aetiology. Compared with afebrile individuals, febrile study participants spent more time at home, visited fewer locations, and, in some cases, visited locations closer to home and spent less time at certain types of locations. These multifaceted impacts are consistent with the possibility that disease mediated changes in host mobility generate dynamic and complex changes in host contact network structure.
机译:病原体在其宿主上造成多种疾病表现,然而,疾病对受感染宿主行为的影响很少凭经验进行研究,并且很少在传播动力学的数学模型中得到解释。我们探索了秘鲁亚马逊河伊基托斯市居民中最常见的疾病表现之一发烧对病原体传播,宿主活动性的关键决定因素的潜在影响。为此,我们将两组发热人士(登革热阳性和登革热阴性)与发热对照组进行了比较。回顾性,半结构化访谈使我们能够在每次访谈之前的两周内量化流动性的多个方面。我们将流动性各个方面的嵌套模型与访谈数据进行了拟合,并使用似然比检验比较了模型,以确定由于发烧或其病因引起的流动性是否存在统计学上可区分的差异。与发热的人相比,发热的研究参与者在家里花费更多的时间,访问较少的位置,并且在某些情况下,访问了离家较近的位置并且在某些类型的位置花费的时间更少。这些多方面的影响与疾病介导的宿主移动性变化在宿主接触网络结构中产生动态而复杂的变化的可能性一致。

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