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

doi:10.1145/2442882.2442906

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013
DOIs	https://doi.org/10.1145/2442882.2442906
State	Published - 2013
Event	3rd ACM Symposium on Computing for Development, DEV 2013 - Bangalore, India Duration: Jan 11 2013 → Jan 12 2013

Publication series

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

Other

Other	3rd ACM Symposium on Computing for Development, DEV 2013
Country/Territory	India
City	Bangalore
Period	1/11/13 → 1/12/13

ASJC Scopus subject areas

Computational Theory and Mathematics

Access to Document

10.1145/2442882.2442906

Cite this

Ahmad, T., Rehman, N. A., Pervaiz, F., Kalyanaraman, S., Safeer, M. B., Chakraborty, S., Saif, U., & Subramanian, L. (2013). Characterizing dengue spread and severity using Internet media sources. In Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013 Article 2442906 (Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013). https://doi.org/10.1145/2442882.2442906

Characterizing dengue spread and severity using Internet media sources. / Ahmad, Talal; Rehman, Nabeel Abdur; Pervaiz, Fahad et al.
Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013. 2013. 2442906 (Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ahmad, T, Rehman, NA, Pervaiz, F, Kalyanaraman, S, Safeer, MB, Chakraborty, S, Saif, U & Subramanian, L 2013, Characterizing dengue spread and severity using Internet media sources. in Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013., 2442906, Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013, 3rd ACM Symposium on Computing for Development, DEV 2013, Bangalore, India, 1/11/13. https://doi.org/10.1145/2442882.2442906

@inproceedings{c90950666d6f486bada139ba35f24bb7,

title = "Characterizing dengue spread and severity using Internet media sources",

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.",

author = "Talal Ahmad and Rehman, {Nabeel Abdur} and Fahad Pervaiz and Shankar Kalyanaraman and Safeer, {Maaz Bin} and Sunandan Chakraborty and Umar Saif and Lakshminarayanan Subramanian",

year = "2013",

doi = "10.1145/2442882.2442906",

language = "English (US)",

isbn = "9781450318563",

series = "Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013",

booktitle = "Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013",

note = "3rd ACM Symposium on Computing for Development, DEV 2013 ; Conference date: 11-01-2013 Through 12-01-2013",

}

TY - GEN

T1 - Characterizing dengue spread and severity using Internet media sources

AU - Ahmad, Talal

AU - Rehman, Nabeel Abdur

AU - Pervaiz, Fahad

AU - Kalyanaraman, Shankar

AU - Safeer, Maaz Bin

AU - Chakraborty, Sunandan

AU - Saif, Umar

AU - Subramanian, Lakshminarayanan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84874886680&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874886680&partnerID=8YFLogxK

U2 - 10.1145/2442882.2442906

DO - 10.1145/2442882.2442906

M3 - Conference contribution

AN - SCOPUS:84874886680

SN - 9781450318563

T3 - Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013

BT - Proceedings of the 3rd ACM Symposium on Computing for Development, DEV 2013

T2 - 3rd ACM Symposium on Computing for Development, DEV 2013

Y2 - 11 January 2013 through 12 January 2013

ER -

Characterizing dengue spread and severity using Internet media sources

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this