Hybrid Conferencee

International Conference on Epidemiology and Health Data Science (ICEHDS - 26)

30th - 31st December 2026 | Vienna, Austria

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Vienna. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Vienna event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Vienna conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Vienna, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Vienna."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEHDS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Epidemiology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data science applications in epidemiology
02
Big data and health outcomes analysis
03
Machine learning in health data research
04
Epidemiology of health data privacy issues
05
Health informatics and epidemiological insights
06
Predictive analytics in public health
07
Data visualization techniques in epidemiology
08
Integration of health data sources
09
Challenges in health data collection
10
Epidemiological research using electronic health records
11
Data-driven decision making in healthcare
12
Role of AI in health data science
13
Ethics of data use in epidemiology
14
Health data interoperability and standards
15
Community health data initiatives
16
Impact of data on health policy
17
Future trends in health data science
18
Collaborative data sharing in public health
19
Epidemiology of data-driven health interventions
20
Innovative methodologies in health data research