Fine-grained dengue forecasting using telephone triage services-Reference-Cited by-同舟云学术

Fine-grained dengue forecasting using telephone triage services

Published:2016-07 Issue:7 Volume:2 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Abdur Rehman Nabeel¹²^ORCID,Kalyanaraman Shankar³⁴,Ahmad Talal³⁴,Pervaiz Fahad⁵,Saif Umar¹⁶^ORCID,Subramanian Lakshminarayanan³⁴

Affiliation:

1. Information Technology University, Lahore 54000, Pakistan.

2. Computer Science and Engineering, New York University, New York, NY 11201, USA.

3. Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA.

4. Center for Technology and Economic Development, NYU Abu Dhabi, Abu Dhabi PO Box 129188, United Arab Emirates.

5. Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.

6. Punjab Information Technology Board, Lahore 54000, Pakistan.

Abstract

Calling patterns on a health hotline can accurately forecast dengue cases, 2 to 3 weeks ahead of time, at a subcity level.

Funder

Center for Technology and Economic Development, New York University

Division of Computer and Network Systems

Punjab Information Technology Board

Information Technology University, Pakistan

Center For Technology and Economic Development, New York University

University of Washington

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference21 articles.

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3. Dangerous Dengue Provocation

4. National Institute of Allergy and Infectious Diseases Dengue fever treatment; www.niaid.nih.gov/topics/denguefever/understanding/pages/treatment.aspx [accessed September 1 2015].

5. World Health Organization Planning social mobilization and communication for dengue fever prevention and control; www.who.int/tdr/publications/documents/planning_dengue.pdf [accessed September 1 2015].

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