Big Data and the Global Public Health Intelligence Network (GPHIN).

摘要: Background Globalization and the potential for rapid spread of emerging infectious diseases have heightened need ongoing surveillance early detection. The Global Public Health Intelligence Network (GPHIN) was established to increase situational awareness capacity detection public health events. Objective To describe how GPHIN has used Big Data as an effective technique disease outbreaks worldwide identify future directions GPHIN. Findings Every day analyzes over more than 20,000 online news reports (over 30,000 sources) in nine languages worldwide. A web-based program aggregates data based on algorithm that provides signals events which are then reviewed by a multilingual, multidisciplinary team. An alert is sent out if risk identified. This process proved useful during Severe Acute Respiratory Syndrome (SARS) outbreak adopted shortly after number countries meet new International Regulations require each country reporting. identified SARS China, credited with first MERS-CoV played significant role monitoring Ebola West Africa. Future developments being considered advance GPHIN's light other sources such social media its analytical terms development. Conclusion adoption increased global detect international Integration additional advances could further strengthen capability timely warning.