基于Google Earth的碘缺乏病监测管理平台的建立与应用

目的利用Google Earth,构建碘缺乏病监测平台。方法在Google Earth的位置面板下建立树状目录,形成监测平台的基本框架。将碘缺乏病监测数据以地标的形式,在Google Earth上进行表达。结果成功构建了基于Google Earth建立了碘缺乏病监测管理平台。结论该监测管理平台构建简单、操作方便、表达具体,适合日常碘缺乏病监测工作的需要。     

Drugs on the Internet,Part III: Tobacco and Smoking on the Web

This study examines the types of tobacco- and smoking-related websites that are available on the Internet. The search terms used were nicotine, tobacco, and cigarette. These terms were searched in the engines Google and Yahoo as well as video-sharing website YouTube and analyzed based on the search engine results pages (SERPs) that were produced. The results returned the following categories of websites: health information and news, smoking cessation, product ads/sales, history of tobacco and smoking, prosmoking/pleasure, smoking prevention/control, and miscellaneous. Results showed fluctuations in the number of search engine results by search term and date. There also was variable quality and availability of informative resources for Internet users due to lack of quality control criteria and regulation.     

Use of Wearable Technology in Remote Evaluation of Acute Stroke Patients: Feasibility and Reliability of a Google Glass-Based Device

Background: Telestroke is an efficient, cost-effective way to standardize care and improve access to immediate neurologic expertise for rural hospitals and other underserved areas. Hands-free wearable technology potentially allows for faster evaluations that fit easily within prehospital workflows and could improve prehospital triage of stroke patients to appropriate receiving stroke centers. The goal of this study is to assess the feasibility and inter-rater reliability of wearable eyeglass video technology in assessing stroke-related neurologic deficits in patients with suspected acute stroke. Methods: Consecutive patients with suspected stroke were evaluated concurrently by an on-site neurologist using wearable eyeglass video technology and a remotely located neurologist viewing the patient through an online platform. Inter-rater reliability in assigning National Institutes of Health Stroke Scale (NIHSS) scores was evaluated using inter-rater correlation coefficient (ICC) and weighted kappa scores. Results: Among 17 enrolled patients, mean age was 58 (SD ± 20) and 29% were female. There was a high degree of correlation in total NIHSS score (ICC .99 and weighted kappa .88) and across all NIHSS subitems (ICC .81-1 and weighted kappa .68-1) between the examiner evaluating remotely via wearable eyeglass video technology with access to the patient and the in-person examiner. The maximum difference between the 2 NIHSS scores was 3. Conclusions: The use of wearable eyeglass video technology in telestroke is feasible and reliable. Use of this technology in the prehospital setting has the potential to improve early assessment of patients with acute stroke symptoms and to facilitate transfer to appropriate stroke centers in the regional systems of care.     

Google street view image availability in the Bronx and San Diego, 2007–2020: Understanding potential biases in virtual audits of urban built environments

Google Street View’s ‘Time Machine’ feature holds promise for longitudinal street audits of built and natural environments for urban health research. As images are only available when Google collected data, differential image availability over time and place could bias audit data quality. We assessed image availability at 2000 randomly selected locations within the Bronx and San Diego from which Hispanic Community Health Study/Study of Latinos (HCHS/SOL) participants were recruited. In the Bronx, a mean of 7.4 images (95% CI: 7.2,7.5) were available at each location, and 63% of those locations had imagery in 2007 and 2019. In San Diego, fewer images were available (mean 5.4, 95% CI: 5.2,5.6) especially on minor streets (mean 4.4, 95% CI: 4.1,4.6). Image availability was more spatially clustered in San Diego (Moran’s I 0.14) than the Bronx (Moran’s I 0.04). Differential image availability may affect precision of neighborhood change estimates assessed by longitudinal virtual audit.     

Estimation of Asthma Symptom Onset Using Internet Search Queries: Lag-Time Series Analysis

BackgroundAsthma affects over 330 million people worldwide. Timing of an asthma event is extremely important and lack of identification of asthma increases the risk of death. A major challenge for health systems is the length of time between symptom onset and care seeking, which could result in delayed treatment initiation and worsening of symptoms.ObjectiveThis study evaluates the utility of the internet search query data for the identification of the onset of asthma symptoms.MethodsPearson correlation coefficients between the time series of hospital admissions and Google searches were computed at lag times from 4 weeks before hospital admission to 4 weeks after hospital admission. An autoregressive integrated moving average (ARIMAX) model with an autoregressive process at lags of 1 and 2 and Google searches at weeks –1 and –2 as exogenous variables were conducted to validate our correlation results.ResultsGoogle search volume for asthma had the highest correlation at 2 weeks before hospital admission. The ARIMAX model using an autoregressive process showed that the relative searches from Google about asthma were significant at lags 1 (P<.001) and 2 (P=.04).ConclusionsOur findings demonstrate that internet search queries may provide a real-time signal for asthma events and may be useful to measure the timing of symptom onset.     

Trends and Seasonality of Information Searches Carried Out through Google on Nutrition and Healthy Diet in Relation to Occupational Health: Infodemiological Study

This study aimed to analyze and relate the population interest through information search trends on Nutrition and Healthy Diet (HD) with the Occupational Health (OH). Ecological and correlational study of the Relative Search Volume (RSV) obtained from Google Trends query, segmented in two searched periods concerning antiquity; date of query: 20 April 2021. The RSV trends for the analyzed three Topics were: Nutrition (R² = 0.02), HD (R² = 0.07) and OH (R² = −0.72). There was a good positive correlation between Nutrition and OH (R = 0.56, p < 0.001) and a moderate one between HD and OH (R = 0.32, p < 0.001). According to seasons, differences were verified between RSV means in the Topics HD (p < 0.01) and OH (p < 0.001). Temporal dependence was demonstrated on Nutrition searches (Augmented Dickey–Fuller = −2.35, p > 0.05). There was only a significant relationship between the RSV Topic HD (p < 0.05) for the Developing and Least Developed countries. The data on the analyzed RSV demonstrated diminishing interest in the search information on HD and OH as well as a clearly positive trend change in recent years for Nutrition. A good positive correlation was observed between the RSV of nutrition and OH whereas the correlation between HD and OH was moderate. There were no milestones found that may report a punctual event leading to the improvement of information searches. Temporal dependence was corroborated in the RSV on Nutrition, but not in the other two Topics. Strangely, only an association was found on HD searches between the Developing and Least Developed Countries. The study of information search trends may provide useful information on the population’s interest in the disease data, as well as would gradually allow the analysis of differences in popularity, or interest even between different countries. Thus, this information might be used as a guide for public health approaches regarding nutrition and a healthy diet at work.     

基于智能手机和Google Earth构建钉螺资料数据库

目的 目的 利用智能手机和Google Earth的数字化、 可视化功能, 构建钉螺资料数据库。方法 方法 先给智能手机加载 多点GPS软件。选择1块江滩查螺, 先通过手机端采集调查框的GPS数据, 将采集的原始数据以KML/KMZ格式导入计 算机, 将KML转化为Excel格式, 录入实验室检查结果, 实现原始螺情资料的数字化。再将Excel格式转化为KML/KMZ 格式文件, 导入Google Earth进行可视化展示。结果 结果 完成1块5 hm2 江滩螺情数据采集, 获得基于Google Earth的可视化 螺情分布图, 构建了钉螺资料数据库。通过钉螺资料数据库, 可查询每个调查框的钉螺数、 活螺数和感染螺数等数据。 结论 结论 利用智能手机和Google Earth, 实现了原始查螺数据的数字化管理。     

应用谷歌地球建立血吸虫病地理信息系统

目的 利用Google Earth平台,建立血吸虫病地理信息系统（GIS）。 方法 在Google Earth平台上,通过添加地标、路径、多边形、图像叠加层等方法,建立血吸虫防治相关的地理信息。 结果 建立了血吸虫病GIS。该系统包含“流行区”、“水系”、“流行示意图”、“有螺环境”、“新发及复现钉螺环境”、“急性血吸虫病”等6个模块。通过操作GIS平台,在3D地图上,实时查看血吸虫病相关信息。 结论 基于Google Earth的血吸虫病GIS,操作简单易学,功能比较完善,非常适合在血防基层机构推广使用。