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Hybrid Event

4th - 5th June 2026 | Montreal, Canada

International Conference on Viral Epidemiology, Surveillance, and Public Health (ICVESPH - 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
SDG 11 — Sustainable Cities and Communities
Explore All Session Tracks
Track 01
Advancements in HIV Epidemiology

This track focuses on the latest research and methodologies in the epidemiology of HIV, emphasizing innovative approaches to understanding viral transmission dynamics. Participants will explore the implications of these advancements for public health strategies and interventions.

Track 02
Surveillance Systems for HIV/AIDS

This session will examine the effectiveness of current surveillance systems in monitoring HIV/AIDS trends and outbreaks. Discussions will highlight the integration of technology and data analytics in enhancing surveillance capabilities.

Track 03
Public Health Policy and HIV Prevention

This track addresses the role of public health policy in shaping HIV prevention strategies and responses to outbreaks. Experts will discuss policy frameworks that support effective intervention and community health initiatives.

Track 04
Community Health Approaches to HIV Control

Focusing on community-based strategies, this session will explore how local health initiatives can effectively control HIV transmission. Participants will share successful case studies and best practices from various regions.

Track 05
Data Analysis in HIV Research

This track will delve into advanced data analysis techniques used in HIV research, including statistical modeling and big data approaches. Attendees will learn how these methods can inform public health decisions and improve disease monitoring.

Track 06
Viral Outbreak Investigation Techniques

This session will cover methodologies for investigating viral outbreaks, with a specific focus on HIV/AIDS. Participants will gain insights into outbreak response strategies and the importance of timely data collection.

Track 07
Transmission Dynamics of HIV

This track will explore the complexities of HIV transmission dynamics, including factors that influence spread within populations. Researchers will present findings that enhance understanding of risk factors and transmission pathways.

Track 08
Infection Control Strategies for HIV

This session will highlight effective infection control strategies aimed at reducing HIV transmission in healthcare settings and communities. Discussions will include best practices and innovative approaches to infection prevention.

Track 09
Viral Risk Assessment and Management

This track will focus on methodologies for assessing and managing the risks associated with HIV transmission. Experts will discuss frameworks for evaluating risk factors and implementing targeted interventions.

Track 10
Epidemiological Methods in HIV Research

This session will provide an overview of epidemiological methods specifically tailored for HIV research. Participants will learn about various study designs and analytical techniques that enhance understanding of the epidemic.

Track 11
Global Perspectives on HIV/AIDS Surveillance

This track will examine global approaches to HIV/AIDS surveillance, highlighting successful models and challenges faced in different regions. Participants will engage in discussions about the importance of international collaboration in public health efforts.

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.