Characterizing dengue spread and severity using Internet media sources

Talal Ahmad, Nabeel Abdur Rehman, Fahad Pervaiz, Shankar Kalyanaraman, Maaz Bin Safeer, Sunandan Chakraborty, Umar Saif, Lakshminarayanan Subramanian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pakistan witnessed one of its deadliest dengue outbreaks in 2011 resulting in hundreds of deaths throughout the country. Prior to the outbreak, dengue awareness was relatively low and hospitals in the country were not completely prepared to handle the epidemic with limited knowledge about the spread of the disease in each locality. This poster aims to build a system that automatically characterizes the spread and severity of the dengue disease at a fine-grained location granularity based on analyzing news reports from Internet media sources. Based on a detailed analysis of news reports gathered from several leading dailies in Pakistan, we demonstrate the effectiveness of our system to accurately characterize the dengue spread and severity across different locations within Pakistan.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013
DOIs
StatePublished - 2013
Event3rd ACM Symposium on Computing for Development, DEV 2013 - Bangalore, India
Duration: Jan 11 2013Jan 12 2013

Publication series

NameProceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013

Other

Other3rd ACM Symposium on Computing for Development, DEV 2013
CountryIndia
CityBangalore
Period1/11/131/12/13

ASJC Scopus subject areas

  • Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'Characterizing dengue spread and severity using Internet media sources'. Together they form a unique fingerprint.

Cite this