On-location / Digital Conference

International Conference on Statistical Methods in Epidemiology and Public Health (ICSMEPH-27)

16th - 17th Jan 2027,Hamburg, Germany

In Association With:

Call for Paper


Important Dates


Early Bird Registration

17th Dec 2026

Paper Submission Deadline

22nd December 2026

Registration Deadline

1st January 2027

Conference Date

16th - 17th Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Hamburg ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Hamburg conference.
  • Peer Review Process:
    The peer review process will begin soon for Hamburg conference.
  • Networking with Global Experts:
    Join global experts at our conference in Hamburg.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICSMEPH bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistical Methods in Epidemiology and Public Health, encouraging applied research, case studies, and industry-driven innovations.

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

  • Statistical methods in epidemiological studies
  • Bayesian approaches in public health research
  • Survival analysis techniques in epidemiology
  • Statistical modeling of disease outbreaks
  • Longitudinal data analysis in public health
  • Statistical tools for health policy evaluation
  • Causal inference in epidemiological research
  • Statistical methods for health disparities analysis
  • Data visualization in public health statistics
  • Statistical methods for infectious disease modeling
  • Statistical approaches to chronic disease epidemiology
  • Health risk assessment using statistical methods
  • Meta-analysis in epidemiological studies
  • Statistical education for public health professionals
  • Machine learning applications in epidemiology
  • Statistical methods for health surveys
  • Statistical analysis of health interventions
  • Statistical modeling of environmental health risks
  • Ethical considerations in epidemiological statistics
  • Future trends in public health statistics

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Academic Institutions Whose Scholars Have Contributed

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Copyright © . All Rights Reserved Terms and Conditions