Displaying results 1 - 3 of 3
-
Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter
Content Type: Abstract
Traditionally, surveillance systems for dengue and other infectious diseases locate each individual case by home address, aggregate these locations to small areas, and monitor the number of cases in each area over time. However, human mobility plays… read more -
Multidimensional Semantic Scan for Pre-Syndromic Disease Surveillance
Content Type: Abstract
An interdisciplinary team convened by ISDS to translate public health use-case needs into well-defined technical problems recently identified the need for new pre-syndromic surveillance methods that do not rely on existing syndromes or pre-defined… read more -
Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter
Content Type: Abstract
Disease outbreak detection based on traditional surveillance datasets, such as disease cases reported from hospitals, is potentially limited in that the collection of clinic information is costly and time consuming. However, social media provides… read more