The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, thematic granularity was not achievable until now. Such data-driven approaches open up additional, complementary perspectives how systems function, especially if they user-generated content (UGC). While the sources, such as social media, introduce specific biases, also new possibilities for scientists broader public. For instance,...

We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate tracking ideas events disseminated cyberspace from spatial-temporal perspective. Thousands millions tweets associated same keywords were converted into visualization maps using commercial search engines (Yahoo application programming...

Existing influenza surveillance in the United States is focused on collection of data from sentinel physicians and hospitals; however, compilation distribution reports are usually delayed by up to 2 weeks. With popularity social media growing, Internet a source for syndromic due availability large amounts data. In this study, tweets, or posts 140 characters less, website Twitter were collected analyzed their potential as seasonal influenza.There three aims: (1) improve correlation tweets...

Surveillance plays a vital role in disease detection, but traditional methods of collecting patient data, reporting to health officials, and compiling reports are costly time consuming. In recent years, syndromic surveillance tools have expanded researchers able exploit the vast amount data available real on Internet at minimal cost. Many sources for infoveillance exist, this study focuses status updates (tweets) from Twitter microblogging website.The aim was explore interaction between...

Cognitive regions and places are notoriously difficult to represent in geographic information science systems. The exact delineation of cognitive is challenging insofar as borders vague, membership within the varies non-monotonically, raters cannot be assumed assess consistently homogeneously. In a study published this journal 2014, researchers devised novel grid-based task which participants rated individual cells given region contrasted approach standard boundary-drawing task....

BACKGROUND Hypertension (HTN) is a prevalent chronic health condition that significantly increases the risk of cardiovascular diseases-associated mortalities. Despite use antihypertensive medications, numerous patients fail to achieve guideline-recommended blood pressure (BP) targets. AIM To evaluates efficacy catheter-based ultrasound renal denervation (uRDN) for treatment HTN. METHODS Relevant studies were identified through searches in PubMed, Embase, Cochrane Library, Web Science, and...

Evidence linking traffic noise to insulin resistance and diabetes is limited unanswered questions remain regarding the potential effect modification by neighborhood socioeconomic status (nSES). We aimed assess inequalities in exposure, whether road aircraft exposures were associated with or diabetes, nSES modified these relationships. Among Community of Mine Study San Diego County, exposure at enrollment was calculated based on static (participant's administrative boundary, circular buffer...

We developed a social media analytics and research testbed (SMART) dashboard for monitoring Twitter messages tracking the diffusion of information in different cities. SMART is an online geo-targeted search tool, including automatic data processing procedure to help researchers 1) tweets cities; 2) filter noise (such as removing redundant retweets using machine learning methods improve precision); 3) analyze from spatiotemporal perspective, 4) visualize various ways weekly monthly trends,...

The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application implementing the diffusion, we developed social media analytics research testbed to monitor Twitter track information in across different cities geographic regions. Social is an online geo-targeted search tool, including automatic data processing procedure at backend interactive frontend user interface. initially designed facilitate (1) searching geo-locating tweet...

Time-weighted spatial averaging approaches (TWSA) are an increasingly utilized method for calculating exposure using global positioning system (GPS) mobility data health-related research. They can provide a time-weighted measure of exposure, or dose, to various environments health hazards. However, little work has been done compare existing methodologies, nor assess how sensitive these methods inputs (e.g., walking vs driving), the type environmental being assessed as continuous surfaces...

Exposure to air pollution disproportionately affects racial/ethnic minorities that could contribute health inequalities including metabolic disorders. However, most existing studies used a static assessment of exposure (mostly using the residential address) and do not account for activity space when modelling pollution. The aim this study is understand how impacts disorders biomarkers, effect differs according ethnicity, first time compare these findings with two methods assessment: dynamic...

Abstract Understanding diverse characteristics of human mobility provides profound knowledge urban dynamics and complexity. Human movements are recorded in a variety data sources each describes unique characteristics. Revealing similarity difference facilitates grasping comprehensive patterns. This study introduces new method to measure similarities on two origin–destination (OD) matrices by spatially extending an image‐assessment tool, the structural index (SSIM). The measurement, weighted...

We introduce a new method for visualizing and analyzing information landscapes of ideas events posted on public web pages through customized web-search engines keywords. This research integrates GIScience to track analyze their contents with associated spatial relationships. Web searched by clusters keywords were mapped real-world coordinates (by geolocating Internet Protocol addresses). The resulting maps represent consisting hundreds populated selected By creating Spatial Automatic...

Accumulating evidence links cardiometabolic health with social and environmental neighborhood exposures, which may contribute to inequities. We examined whether characteristics were individually or jointly associated insulin resistance, hypertension, obesity, type 2 diabetes, metabolic syndrome in San Diego County, CA. As part of the Community Mine Study, outcomes BMI, collected 570 participants. Seven census tract level participants' residential environment assessed grouped as follows:...

Preterm birth (<37 weeks gestation) continues to be a significant cause of disease and death in the United States. Its complex causes are associated with several genetic, biological, environmental, sociodemographic factors. Organizing visualizing various data that may related preterm is an essential step for pattern exploration hypothesis generation presents opportunity increase public stakeholder involvement. In this article, we describe collaborative effort create online geographic...