Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru.
Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru.
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DOI：
10.1371/journal.pntd.0002888
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发表时间：
2014-06
影响因子：
3.8
通讯作者：
Vazquez-Prokopec GM
中科院分区：
文献类型：
--
作者：
Paz-Soldan VA;Reiner RC Jr;Morrison AC;Stoddard ST;Kitron U;Scott TW;Elder JP;Halsey ES;Kochel TJ;Astete H;Vazquez-Prokopec GM
量化人类流动性对于研究身体活动、接触病原体和生成更真实的传染病模型具有重大影响。位置感知技术，如全球定位系统（GPS）设备，越来越多地被用作移动研究的黄金标准。这项观察性研究的主要目标是比较和对比通过GPS和半结构化访谈（SSI）获得的信息，以评估影响数据质量的问题，并最终评估我们测量精细规模人类流动性的能力。使用全球定位系统数据记录器对来自秘鲁伊基托斯的160名年龄在7岁至74岁之间的人进行了为期14天的跟踪，随后使用SSI对他们在跟踪期间访问过的地方进行了访谈。SSI报告的和GPS确定的地点分别为2，047个和886个。方法之间一致性的差异由位置类型、所选距离阈值（在给定半径内被视为匹配）、GPS数据收集频率（即，30、90或150秒）和被认为定义匹配的SSI地点附近的GPS点的数量。这两种方法都有完美的一致性，确定每个参与者的房子，其次是80-100%的一致性确定学校和住宿，和50-80%的一致性住宅和商业和宗教场所。随着所选距离阈值的增加，SSI和原始GPS数据之间的一致性增加（超过20米，大多数位置达到最大一致性）。使用信号聚类算法处理原始GPS数据将总体一致性降低到14.3%。我们随访的子样本（n =101）描述的最常见的不一致原因是GPS装置意外关闭（30%）、离家时忘记或故意不带装置（24.8%）、信号可能存在障碍（4.7%）和将装置留在家中充电（4.6%）。 我们提供了一个定量评估的优点和缺点，这两种方法捕捉精细规模的人类流动性。能够量化人类运动对于研究活动模式、接触病原体和开发现实的传染病模型非常重要。我们比较了从秘鲁伊基托斯的160个人通过全球定位系统（GPS）设备和半结构化访谈（SSI）获得的精细规模人类流动数据，以评估使用这两种不同方法的数据质量和我们在资源贫乏的城市环境中测量精细规模人类流动模式的能力。使用各种方法来处理GPS数据，我们发现SSI比GPS识别出更多的人访问过的位置。虽然GPS提供了更精确的数据，但存在行为，技术和分析障碍。SSI提供了更丰富的上下文，更容易处理，但也有更多的误报。SSI是追溯识别位置的唯一选择。
Quantifying human mobility has significant consequences for studying physical activity, exposure to pathogens, and generating more realistic infectious disease models. Location-aware technologies such as Global Positioning System (GPS)-enabled devices are used increasingly as a gold standard for mobility research. The main goal of this observational study was to compare and contrast the information obtained through GPS and semi-structured interviews (SSI) to assess issues affecting data quality and, ultimately, our ability to measure fine-scale human mobility. A total of 160 individuals, ages 7 to 74, from Iquitos, Peru, were tracked using GPS data-loggers for 14 days and later interviewed using the SSI about places they visited while tracked. A total of 2,047 and 886 places were reported in the SSI and identified by GPS, respectively. Differences in the concordance between methods occurred by location type, distance threshold (within a given radius to be considered a match) selected, GPS data collection frequency (i.e., 30, 90 or 150 seconds) and number of GPS points near the SSI place considered to define a match. Both methods had perfect concordance identifying each participant's house, followed by 80–100% concordance for identifying schools and lodgings, and 50–80% concordance for residences and commercial and religious locations. As the distance threshold selected increased, the concordance between SSI and raw GPS data increased (beyond 20 meters most locations reached their maximum concordance). Processing raw GPS data using a signal-clustering algorithm decreased overall concordance to 14.3%. The most common causes of discordance as described by a sub-sample (n = 101) with whom we followed-up were GPS units being accidentally off (30%), forgetting or purposely not taking the units when leaving home (24.8%), possible barriers to the signal (4.7%) and leaving units home to recharge (4.6%). We provide a quantitative assessment of the strengths and weaknesses of both methods for capturing fine-scale human mobility. Being able to quantify human movement is important for studying activity patterns, exposure to pathogens and developing realistic infectious disease models. We compared fine-scale human mobility data obtained by Global Positioning System (GPS)-enabled devices and semi-structured interviews (SSI) from 160 individuals in Iquitos, Peru, in order to assess the quality of data using these two different approaches and our ability to measure fine-scale human mobility patterns in a resource-poor urban environment. Using various methods to process the GPS data, we found the SSI identified more locations a person had visited than GPS. Though the GPS gave more precise data, there were behavioral, technical, and analytical barriers. The SSI provided richer context and was easier to process, but also had more false positives. SSI was the only option for identifying locations retrospectively.
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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
影响因子：
5.9
作者：
Murray, Kris A.;Daszak, Peter
通讯作者：
Daszak, Peter
DOI：
10.1068/a030353
发表时间：
1971-01-01
期刊：
ENVIRONMENT AND PLANNING
影响因子：
--
作者：
ANDERSON, J
通讯作者：
ANDERSON, J
影响因子：
3.8
作者：
Morrison AC;Minnick SL;Rocha C;Forshey BM;Stoddard ST;Getis A;Focks DA;Russell KL;Olson JG;Blair PJ;Watts DM;Sihuincha M;Scott TW;Kochel TJ
通讯作者：
Kochel TJ
影响因子：
64.8
作者：
Lloyd-Smith JO;Schreiber SJ;Kopp PE;Getz WM
通讯作者：
Getz WM