Procedia Computer Science · 2015 · 75 citations · 8 references
Public HealthInfectious DiseasesPreventive MedicineDisease SurveillanceOutbreak DetectionPublic Health SurveillanceDisease Surveillance SystemsEpidemic ForecastingHealth SurveillanceInfectious Disease SurveillanceInfluenza-like Illness SurveillanceSurveillance Data AnalysisBurden Of Communicable DiseasesDisease Outbreak ForecastingForecasting Disease OutbreaksForecasting Epidemic TrajectoriesPandemic Influenza SurveillancePublic Awareness SystemsSurveillance System DesignText Mining For Surveillance
India is one of the fasted economies in the world, having the second largest population. Communicable diseases in the 21st century remain a major public health threat due to the globalization. The emergence of new diseases and the reappearance of older infectious disease cause great impact towards public health. It is very important to monitor this disease early and take a rapid decision to overcome the damage. In this paper, we suggest an approach based on tweets using Twitter to make a good surveillance system. We examine important issues related to 2015 H1N1 pandemic in India like symptoms, prevention steps and availability of medicine. Our study focused on different parameters to find the relevant information towards Influenza-A (H1N1) and the public general awareness towards it. Our analysis shows the use of twitter may allow the detection of disease outbreaks through analysis of data generated by social media.
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Rumi Chunara, Jason R. Andrews, John S. Brownstein · American Journal of Tropical Medicine and Hygiene · 2012 · 445 citations · Full text
Veterinary Medicine, Infectious Diseases, Disease Surveillance +13