Global Public Health Surveillance using Media Reports: Redesigning GPHIN
Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon, Rodier, Yunli Wang, Berry de Bruijn

TL;DR
This paper discusses the redesign of GPHIN, a global health surveillance system that uses media reports to detect health events more quickly and effectively, addressing previous barriers and enhancing its capabilities.
Contribution
The paper introduces the next generation of GPHIN, detailing new design features and innovations implemented in 2017 to improve global health surveillance.
Findings
Enhanced detection speed of health events
Improved reporting accuracy and reliability
New functionalities for real-time analysis
Abstract
Global public health surveillance relies on reporting structures and transmission of trustworthy health reports. But in practice, these processes may not always be fast enough, or are hindered by procedural, technical, or political barriers. GPHIN, the Global Public Health Intelligence Network, was designed in the late 1990s to scour mainstream news for health events, as that travels faster and more freely. This paper outlines the next generation of GPHIN, which went live in 2017, and reports on design decisions underpinning its new functions and innovations.
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Taxonomy
TopicsData-Driven Disease Surveillance · Viral Infections and Outbreaks Research · Public Health Policies and Education
