Displaying results 1 - 8 of 19
-
Accurate Detection of Arbitrarily-Shaped Spatial Disease Clusters
Content Type: Abstract
Methods for locating spatial clusters of diseases are typically variations of the circular scan statistic method. They restrict the number of potential clusters by considering all circular, rectangular, or elliptical regions, and then apply a… read more -
Advanced Modular Design for Scalable Biosurveillance Systems
Content Type: Abstract
This paper describes a modular approach to surveillance system design, ensuring flexibility, scalability and fault tolerance. -
Characterizing Socioeconomic Disparities in the Burden of Influenza and RSV Using Surveillance Data
Content Type: Abstract
To measure the impact, within administrative geographic areas, of household income on rates of visits due influenza and RSV among children using real-time syndromic surveillance. -
Does Climate Predict the Timing of Peak Influenza Activity in the United States?
Content Type: Abstract
Though spatio-temporal patterns of influenza spread have often suggested that environmental factors, such as temperature, solar radiation and humidity play a key role, few studies have directly assessed their effect on the timing… read more -
Evaluation of Online Media Reports for Global Infectious Disease Intelligence
Content Type: Abstract
While traditional means of surveillance by governments, multi-national agencies, and institutional networks assist in reporting and confirming infectious disease outbreaks, these formal sources of information are limited by their… read more -
Expanding a Gazetteer-based Approach for Geo-Parsing Text from Media Reports on Global Disease Outbreaks
Content Type: Abstract
HealthMap (www.healthmap.org) is a freely accessible, automated real-time system that monitors, organizes, integrates, filters, and maps online news about emerging diseases. The system performs geographic parsing (“geo-parsing”) of disease… read more -
Traveling Epidemic Waves in Biosurveillance Data: Identifying Early Hotspots of Respiratory Illness
Content Type: Abstract
We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more -
Digital Surveillance of the Illegal Wildlife Trade: Identifying Hot-spots for Emerging Zoonoses
Content Type: Abstract
The illegal wildlife trade is a multi-faceted, clandestine industry that has led to the disruption of fragile ecosystems, facilitated the spread of pathogens, and has led to the emergence of novel infectious diseases in humans, domestic animals, and… read more