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确定用于监测和免疫支持性监督的电子数据收集中的不准确坐标:以尼日利亚扩大免疫规划支持性监督模块为例

Determining Inaccurate Coordinates in Electronic Data Collection for Surveillance and Immunization Supportive Supervision: A Case Study of Nigeria EPI Supportive Supervision Module.

作者信息

Bello Isah Mohammed, Akpan Godwin Ubong, Gital Abdulsalam Yau, Iliyasu Musa, Mohammed Danlami, Barau Faysal Shehu, Rasheed Daniel Oyaole, Bedada Erbeto Tesfaye, Maleghemi Sylvester

机构信息

Inter-Country Support Team Office for East and Southern Africa, World Health Organization (WHO), Harare, Zimbabwe.

Regional Office for Africa, World Health Organization (WHO), Brazzaville, Republic of Congo.

出版信息

Front Digit Health. 2022 Jun 9;4:907004. doi: 10.3389/fdgth.2022.907004. eCollection 2022.

Abstract

The mobile phone global positioning system (GPS) is used to reconnaissance a mobile phone user's location, e.g., at work, home, shops, etc. Such information can be used to feed data gathering expeditions, the actual position of the interviewer/surveyor using the mobile phone inert settings of location mode GPS, WIFI, and Mobile networks. Mobile devices are becoming progressively erudite and now integrate diverse and robust sensors. The new generation of smartphones is multi-laden with sensors, including GPS sensors. The study describes and evaluates a data-gathering process used by the World Health Organization (WHO-Nigeria, EPI Program) that uses phone-based in-built GPS sensors to identify the position of users while they undergo supportive supervision. This form of spatial data is collected intrinsically using the Open Data Kit (ODK) GPS interface, which interlaces with the mobile phone GPS sensor to fetch the geo-coordinates during the process. It represents a step in building a methodology of matching places on the map with the geo-coordinates received from the mobile phones to investigate deviation patterns by devices and location mode. The empirical results can help us to understand the variation in geospatial data collation across devices and highlight critical criteria for choosing mobile phones for mobile surveys and data campaigns. This study reviewed the existing data gathered inadvertently from 10 brands of smartphones over 1 year of using the mobile data collection with over 80,000 field visits to predict the deviation pattern for spatial data acquisition mobile phones by different brands.

摘要

手机全球定位系统(GPS)用于勘测手机用户的位置,例如在工作场所、家中、商店等地。此类信息可用于为数据收集考察提供数据,即利用手机位置模式(GPS、WIFI和移动网络)的内置设置确定访问员/调查员的实际位置。移动设备正变得越来越智能,现在集成了各种强大的传感器。新一代智能手机配备了多种传感器,包括GPS传感器。该研究描述并评估了世界卫生组织(尼日利亚,扩大免疫规划项目)使用的一种数据收集过程,该过程利用基于手机的内置GPS传感器在用户接受支持性监督时确定其位置。这种空间数据是通过开放数据工具包(ODK)GPS接口自动收集的,该接口与手机GPS传感器交织,在过程中获取地理坐标。这代表了构建一种方法的一个步骤,即把地图上的地点与从手机接收的地理坐标相匹配,以调查设备和位置模式的偏差模式。实证结果可以帮助我们了解不同设备地理空间数据整理的差异,并突出为移动调查和数据活动选择手机的关键标准。本研究回顾了在1年时间里从10个品牌智能手机无意中收集的现有数据,这些数据来自超过80000次实地访问的移动数据收集,以预测不同品牌手机空间数据采集的偏差模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f98/9218187/aec943a919c3/fdgth-04-907004-g0001.jpg

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