What are the Primary Sources of Big Data in Epidemiology?

The primary sources of big data in Epidemiology include:

Electronic Health Records (EHRs): These records contain detailed patient health information, including diagnoses, treatments, and outcomes. EHRs are valuable for longitudinal studies and real-time surveillance.
Social Media: Platforms like Twitter and Facebook provide real-time data on public sentiment and behavior related to health issues. Social media data can be used for outbreak detection and monitoring public health interventions.
Genomic Data: With the advent of high-throughput sequencing technologies, genomic data has become a valuable resource for understanding the genetic basis of diseases and their spread.
Environmental Sensors: Devices that monitor environmental factors such as air quality, temperature, and humidity can help in studying the impact of environmental conditions on health.
Administrative Data: This includes insurance claims, hospital discharge records, and other administrative datasets that provide insights into healthcare utilization and costs.