Spatiotemporal Zoning: A Framework for Enhancing Spatial and Temporal Granularity in a Web-based Health Surveillance System

A framework for enhancing spatial and temporal granularity in report-based health surveillance systems

BACKGROUND Current public concern over the spread of infectious diseases has underscored the importance of health surveillance systems for the speedy detection of disease outbreaks. Several international report-based monitoring systems have been developed, including GPHIN, Argus, HealthMap, and BioCaster. A vital feature of these report-based systems is the geo-temporal encoding of outbreak-rel...

Document Zoning for Enhancing Spatial and Temporal Understanding in Web-based Health Surveillance Systems

Spatial, temporal, and spatiotemporal analysis of cutaneous leishmaniasis in North Khuzestan Province, Iran, from 2011 to 2015: brief report

Background: Leishmaniasis is a zoonosis disease. About 350 million people are at risk of developing a disease, with 1.5 to 2 million new cases every year in the world. The aim of this study was to determine the space-time clusters of cutaneous leishmaniasis in north of Khuzestan Province, Iran. Methods: In this cross-sectional study, the annual cutaneous leishmaniasis incidence per 100,000 ind...

Granularity Analysis for Spatio-Temporal Web Sensors

In recent years, many researches to mine the exploding Web world, especially User Generated Content (UGC) such as weblogs, for knowledge about various phenomena and events in the physical world have been done actively, and also Web services with the Web-mined knowledge have begun to be developed for the public. However, there are few detailed investigations on how accurately Web-mined data refl...

Spatiotemporal trend of ambient air particulate matter with aerodynamic diameter less than 2.5 and 10 μm and ozone in Tabriz city, Iran, during 2006–2017

Background and Objective: This study was conducted to investigate the long-term temporal trends and spatial variations of ambient PM10, PM2.5, O3, concentrations in Tabriz city during the years 2006-2017. Materials and Methods: Real-time hourly concentrations of PM10, PM2.5, O3 measured at nine air quality monitoring stations (AQMSs) were obtained from the Tabriz Department of Environment (TDo...