Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment.
Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment.
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DOI：
10.1371/journal.pone.0058802
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Kitron U
中科院分区：
文献类型：
--
作者：
Vazquez-Prokopec GM;Bisanzio D;Stoddard ST;Paz-Soldan V;Morrison AC;Elder JP;Ramirez-Paredes J;Halsey ES;Kochel TJ;Scott TW;Kitron U
人类流动模式的经验量化对于更好的城市规划、了解社会网络结构和应对传染病威胁至关重要，特别是在城市化和全球化快速增长的情况下。这一需要对发展中国家特别重要，因为它们拥有全球大部分城市人口，并受到疾病负担的严重影响。我们使用全球定位系统（GPS）数据记录器来跟踪来自秘鲁伊基托斯市两个社区的582名居民的精细尺度（城市内）移动模式。我们使用了1230万个GPS数据点来量化所有被跟踪个体之间的特定年龄的移动参数和动态协同定位网络。地理空间显著影响人类的流动性，从而产生高度本地化的移动内核。大多数（约80%）迁移发生在离家1公里以内。个体之间的潜在小时接触是高度不规则的，时间上是非结构化的。只有高达38%的被跟踪者表现出规律和可预测的流动性，这与发达国家的情况形成鲜明对比。作为一个案例研究，我们量化的影响，空间和时间上的非结构化例程的动态传播的流感样病原体在伊基托斯附近。时间上非结构化的日常生活（例如，与模拟时间结构接触的情景相比，不受单一地点（如工作场所，其中个人重复花费大量时间）主导的流行病的最终规模和有效繁殖数量增加了20%。我们的研究结果提供了对资源匮乏的城市中心内人类流动性基本规则的机械描述，并有助于理解个人移动和协同定位的细尺度模式在传染病动态中的作用。更一般地说，这项研究强调，在设计传染病缓解战略时，特别是在资源贫乏的城市环境中，需要仔细考虑人类社会的相互作用。
Empiric quantification of human mobility patterns is paramount for better urban planning, understanding social network structure and responding to infectious disease threats, especially in light of rapid growth in urbanization and globalization. This need is of particular relevance for developing countries, since they host the majority of the global urban population and are disproportionally affected by the burden of disease. We used Global Positioning System (GPS) data-loggers to track the fine-scale (within city) mobility patterns of 582 residents from two neighborhoods from the city of Iquitos, Peru. We used ∼2.3 million GPS data-points to quantify age-specific mobility parameters and dynamic co-location networks among all tracked individuals. Geographic space significantly affected human mobility, giving rise to highly local mobility kernels. Most (∼80%) movements occurred within 1 km of an individual’s home. Potential hourly contacts among individuals were highly irregular and temporally unstructured. Only up to 38% of the tracked participants showed a regular and predictable mobility routine, a sharp contrast to the situation in the developed world. As a case study, we quantified the impact of spatially and temporally unstructured routines on the dynamics of transmission of an influenza-like pathogen within an Iquitos neighborhood. Temporally unstructured daily routines (e.g., not dominated by a single location, such as a workplace, where an individual repeatedly spent significant amount of time) increased an epidemic’s final size and effective reproduction number by 20% in comparison to scenarios modeling temporally structured contacts. Our findings provide a mechanistic description of the basic rules that shape human mobility within a resource-poor urban center, and contribute to the understanding of the role of fine-scale patterns of individual movement and co-location in infectious disease dynamics. More generally, this study emphasizes the need for careful consideration of human social interactions when designing infectious disease mitigation strategies, particularly within resource-poor urban environments.
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DOI：
10.1073/pnas.0906910106
发表时间：
2009-12-22
影响因子：
11.1
作者：
Balcan, Duygu;Colizza, Vittoria;Vespignani, Alessandro
通讯作者：
Vespignani, Alessandro
DOI：
10.1073/pnas.0706849105
发表时间：
2008-03-25
影响因子：
11.1
作者：
Halloran, M. Elizabeth;Ferguson, Neil M.;Cooley, Philip
通讯作者：
Cooley, Philip
影响因子：
4.3
作者：
Buliung, Ron N.;Roorda, Matthew J.;Remmel, Tarmo K.
通讯作者：
Remmel, Tarmo K.
DOI：
10.1073/pnas.0507309102
发表时间：
2005-10-25
影响因子：
11.1
作者：
Hanson, S
通讯作者：
Hanson, S
影响因子：
2.1
作者：
Morrison, AC;Gray, K;Scott, TV
通讯作者：
Scott, TV