Hybrid Conferencee

International Conference on Mathematical Modeling in Epidemiology and Public Health (ICMMEPH - 27)

28th - 29th April 2027 | Sharjah, UAE
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Sharjah. 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 Sharjah 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 Sharjah conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sharjah, 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 Sharjah."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference 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.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 6
SDG 6 Clean Water and Sanitation
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.