12/19/2025 | News release | Distributed by Public on 12/19/2025 16:14
Buenos Aires, Argentina, December 19, 2025 (PAHO) - As part of the Epidemic Intelligence Strategy 2024-2029, led by the Pan American Health Organization (PAHO/WHO) to strengthen national capacities for the early detection of public health threats and in alignment with the International Health Regulations (IHR 2005), a training on the use of the Epidemic Intelligence from Open Sources system in its new version (EIOS v2) was held in Argentina.
The training was designed for technical teams from Argentina's Ministry of Health, with participants from the National Food Institute (INAL) under ANMAT; the Communications Unit of the Secretariat for Health Management; the National Directorate of Health Emergencies (DINESA); the National Service for Agri-Food Health and Quality (SENASA); the Directorate of Border Health and Transport Terminals (DSFTyT); the Directorate for Immunopreventable Disease Control (DiCEI); the Directorate of Epidemiology; the Operational Unit for the Biological Containment Center (UOCCB); ANLIS Malbrán's Operational Unit for Artificial Intelligence and Public Health Data Science; and ANLIS Malbrán. The Ministries of Health of Salta and Jujuy also participated.
During the sessions, participants explored both theoretical and practical aspects of EIOS v2 functionalities. This collaborative web-based platform collects, filters, and categorizes publicly available information from digital media, social networks, and other open sources in real time to strengthen event-based surveillance and improve early warning capacity for health threats at both national and international levels.
The three sessions-two in-person on November 27 and 28, and one virtual on December 9-were facilitated by the Health Emergency Information Management and Risk Assessment Unit (HIM) of PAHO's Health Emergencies Department (PHE), with support from PAHO's Country Office in Argentina and the Directorate of Epidemiology of Argentina's Ministry of Health. The methodology combined technical presentations, hands-on exercises, and collaborative work sessions, enabling teams to adapt the system's use to their national operational workflows.
Key outcomes of the training included strengthened technical capacities for using the tool, identification of priority sources for the country, and development of automated reports for event-based surveillance.