[email protected] +91 9789129171
ICMMEPH · Registering as Listener

International Conference on Mathematical Modeling in Epidemiology and Public Health

15 - 16 Apr 2027 Prague, Czech Republic Standard / Physical Participation
Listener Registration
$125
virtual · $155 in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.


Coupon code

Have a code? Apply it here — the discount updates the total immediately.


Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICMMEPH
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

+91 9789129171

Benefits of Registering as Listener

Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICMMEPH conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 6 - Clean Water and Sanitation SDG 9 - Industry, Innovation and Infrastructure
01 Mathematical Modeling of Infectious Diseases +
This track focuses on the development and application of mathematical models to understand the dynamics of infectious diseases. Contributions may include novel modeling approaches, simulations, and analyses that inform public health interventions.
02 Statistical Methods in Epidemiology +
This session will explore advanced statistical techniques used in the analysis of epidemiological data. Topics may include survival analysis, regression models, and Bayesian approaches tailored for public health research.
03 Computational Approaches in Public Health +
This track emphasizes the role of computational methods in public health research, including simulations and algorithm development. Participants are encouraged to present studies that leverage computational tools to enhance health systems and policy-making.
04 Optimization Techniques in Health Systems +
This session will address optimization methods applied to improve health system performance and resource allocation. Contributions may focus on operational research, decision-making frameworks, and efficiency assessments in healthcare delivery.
05 Data Analytics for Epidemiological Research +
This track invites discussions on the application of data analytics techniques in epidemiology. Topics may include big data, machine learning, and predictive modeling to derive insights from health data.
06 Risk Analysis and Management in Public Health +
This session will cover methodologies for assessing and managing risks associated with public health threats. Contributions may include quantitative risk assessment models and frameworks for decision-making in health policy.
07 Biostatistics in Disease Modeling +
This track focuses on the integration of biostatistical methods with mathematical modeling to study disease dynamics. Participants are encouraged to present research that bridges statistical theory and practical applications in epidemiology.
08 Population Dynamics and Health Outcomes +
This session will explore the interplay between population dynamics and health outcomes through mathematical modeling. Contributions may include studies on demographic changes, migration patterns, and their implications for public health.
09 Simulation Techniques in Epidemiological Studies +
This track will highlight the use of simulation techniques to model complex epidemiological scenarios. Participants are invited to share innovative simulation frameworks that enhance understanding of disease spread and intervention strategies.
10 Policy Prediction and Public Health Interventions +
This session will focus on the role of mathematical modeling in predicting the outcomes of public health policies. Contributions may include case studies and theoretical frameworks that inform effective health interventions.
11 Emerging Trends in Applied Mathematics for Health +
This track will explore cutting-edge developments in applied mathematics that impact public health and epidemiology. Participants are encouraged to present novel mathematical approaches and their applications in real-world health challenges.