Hybrid Conferencee

International Conference on Epidemiology, Data Analytics and Modelling (ICEDAM - 26)

17th - 18th October 2026 | Amsterdam, Netherlands

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Amsterdam. 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 Amsterdam 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 Amsterdam conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Amsterdam, 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 Amsterdam."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEDAM 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 analytics in public health decision making
02
Role of big data in epidemiological research
03
Modeling disease spread and health outcomes
04
Innovative data collection methods in health
05
Impact of data visualization on public health
06
Predictive analytics for disease prevention
07
Ethical considerations in health data usage
08
Integrating data sources for health insights
09
Training health professionals in data analytics
10
Public health surveillance using data analytics
11
Evaluating health interventions with data models
12
Data-driven public health policies and practices
13
Collaboration between data scientists and health experts
14
Future trends in health data analytics
15
Case studies of successful data applications
16
Health equity analysis through data analytics
17
Real-time data usage in public health emergencies
18
Community engagement in data-driven health initiatives
19
Data privacy and security in health research
20
Leveraging technology for health data collection