Call For Papers
The ICMMEPH 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 Applied Mathematics,Mathematical Modeling, 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:
- Mathematical modeling of infectious diseases
- Statistical methods in epidemiological studies
- Modeling public health interventions effectiveness
- Mathematical modeling of vaccination strategies
- Applications of machine learning in epidemiology
- Mathematical modeling of disease transmission dynamics
- Impact of social behavior on disease spread
- Mathematical modeling of chronic diseases
- Epidemiological modeling of health systems
- Mathematical modeling of health disparities
- Statistical analysis of health data
- Mathematical modeling of outbreak responses
- Applications of network theory in epidemiology
- Mathematical modeling of mental health issues
- Modeling the impact of environmental factors on health
- Mathematical modeling of healthcare resource allocation
- Epidemiological modeling of non-communicable diseases
- Mathematical modeling of health policy impacts
- Applications of data science in public health
- Mathematical modeling of aging populations
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.