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Hybrid Event

29th - 30th August 2026 | Dublin, Ireland

International Conference on Epidemiology and Global Health (ICEGH - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
Explore All Session Tracks
Track 01
Advancements in Epidemiological Methods

This track focuses on innovative methodologies in epidemiology, including novel statistical techniques and data analysis approaches. Participants will explore how these advancements can enhance disease surveillance and public health interventions.

Track 02
Global Health Challenges and Responses

This session addresses pressing global health issues, including emerging infectious diseases and their socio-economic impacts. Discussions will center on collaborative strategies to mitigate these challenges through effective health policies.

Track 03
Disease Surveillance Systems: Innovations and Best Practices

This track will examine the latest technologies and practices in disease surveillance systems worldwide. Participants will discuss the importance of timely data collection and analysis in preventing disease outbreaks.

Track 04
Health Policy and Epidemiological Evidence

This session will explore the intersection of health policy and epidemiological research, emphasizing how data-driven decisions can improve public health outcomes. Participants will share case studies that illustrate successful policy implementations.

Track 05
Biostatistics in Public Health Research

This track focuses on the application of biostatistical methods in public health research, highlighting their role in analyzing health data. Attendees will learn about statistical modeling techniques that inform epidemiological studies.

Track 06
Infectious Diseases: Trends and Prevention Strategies

This session will delve into the latest trends in infectious diseases, including transmission dynamics and prevention strategies. Experts will discuss the role of vaccination, public awareness, and health education in controlling outbreaks.

Track 07
Health Data Analytics for Global Health Insights

This track emphasizes the importance of health data analytics in deriving insights for global health challenges. Participants will explore case studies demonstrating how data analytics can inform policy and practice.

Track 08
Epidemiology of Non-Communicable Diseases

This session will focus on the epidemiological patterns of non-communicable diseases, such as diabetes and cardiovascular diseases. Discussions will include risk factors, prevention strategies, and health system responses.

Track 09
Community Engagement in Public Health Initiatives

This track will highlight the importance of community engagement in the design and implementation of public health initiatives. Participants will share successful models of collaboration between health systems and communities.

Track 10
Global Health Equity and Epidemiological Research

This session will address the role of epidemiological research in promoting health equity across diverse populations. Discussions will focus on identifying disparities and implementing targeted interventions.

Track 11
Future Directions in Global Health and Epidemiology

This track will explore emerging trends and future directions in the fields of global health and epidemiology. Participants will discuss the implications of technological advancements and global collaboration for future health challenges.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.