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Media scanning and verification system as a supplemental tool to disease outbreak detection & reporting at National Centre for Disease Control, Delhi

tetano

Editor, Senior Moderator
J Commun Dis. 2012 Mar;44(1):9-14.
Media scanning and verification system as a supplemental tool to disease outbreak detection & reporting at National Centre for Disease Control, Delhi.
Sharma R1, Karad AB2, Dash B2, Dhariwal AC3, Chauhan LS4, Lal S5.
Author information
Abstract

Media scanning for unusual health events can efficiently supplement conventional communicable disease surveillance systems for early detection and response to outbreaks. There is a need to rapidly process and appropriately disseminate the media reports on unusual health events for timely action. Hence to address this need in India a Media Scanning & Verification Cell (MSVC) was established in July 2008 at the National Centre for Disease Control, Delhi. MSVC is supervised by Epidemiologists working in Central Surveillance Unit of IDSP. This unique system monitors Global and National Media sources such as National and Regional print media, news on internet, news wires and websites, news channels and news shared by partners like Global Public Health Intelligence Network (GPHIN), Canada, WHO and other International and national agencies. The information is shared to the districts affected and District Surveillance Officer (DSO) and his team is expected to investigate and revert through the internet about the correctness and action taken. A mean number of 4 Media Alert reports are generated each day. A total of 1685 alerts were reported in a period between July 2008 to December 2011. Of these 1241 (73.7%) were verified as real events and 183 (10.9%) were considered outbreaks by local health officials. Most events were captured through internet (57%) followed by the print media (24%). The most common disease events identified were food-borne and diarrhea (29.1%), dengue (10.68%), influenza & respiratory disease (8.1%) and malaria (7.4%). The sensitivity of MSVC to detect outbreaks was 14.8% with more than half of outbreaks detected before they were identified by the conventional surveillance system. It has proven to be a highly effective supplemental tool to official surveillance system in the detection of early warning signals and hence timely detection and management of public health threats in India.

PMID:
24455910
[PubMed - in process]

http://www.ncbi.nlm.nih.gov/pubmed/24455910
 
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