Public Health Intelligence is critical for achieving public health goals, including promoting health, preventing disease, and providing a timely response to critical public health events (e.g., disease outbreaks, bioterrorism). Digital knowledge exchange and real-time surveillance are can advance public ...
More recently, the emergence of public health intelligence as a specific public health discipline is a response to the increasing recognition of the need to ensure that the development of appropriate strategies and policies to improve the health of the population and reduce health inequalities is ...
Early life intelligence and adult health: Associations, plausible mechanisms, and public health importance are emerging Batty GD, Deary IJ (2004) Early life intelligence and adult health: associations, plausible mechanisms, and public health importance are emerging. BMJ 329......
aThe Global Public Health Intelligence Network(GPHIN) is a Canadian initiative that draws on the capacity of the internet and worldwide news coverage of health events. 全球性公共卫生智力网络(GPHIN) 是在健康事件互联网和全世界新闻报导容量画的加拿大主动性。[translate]...
As artificial intelligence (AI) can potentially enhance health outcomes, illness prevention, diagnosis, and treatment, its use in public health is gaining traction. AI can be used to personalize medical care, make data driven decisions, and expedite healthcare operations. Large datasets may be swift...
Public Health Observatories: The Key to Timely Public Health Intelligence in the New Century Recent UK health policies have consistently stressed the importance of basing local action on evidence and local intelligence. A suitably skilled workforce... JR Ashton - 《Journal of Epidemiology & Community...
The Epidemic Intelligence from Open Sources, or EIOS, is a collaboration between public health stakeholders around the globe to create a unified, all-hazards, “One Health” approach to early detection of threats to public health from publicly available
Artificial intelligence has the potential to improve epidemiological models of infectious diseases by incorporating diverse data sources and complex interactions. Here, the authors conduct a scoping review of the use of artificial intelligence in mechanistic models to summarise methodological advancements and ...
Data collection and reporting of public health intelligence during a mass gathering event is challenging because of the large numbers of attendees, the rapid and large-scale movements of people, and their fairly short stay at the mass gathering event. Smart technology and wireless communication are ...
Background Emerging and re-emerging infectious diseases are a significant public health concern, and early detection and immediate response is crucial for disease control. These challenges have led to the need for new approaches and technologies to reinforce the capacity of traditional surveillance system...