Hybrid Conference (In Person / Virtual)

International Conference on Mathematical Modeling in Epidemiology and Public Health (ICMMEPH - 27)
5th - 6th January 2027 , Jakarta Raya, Indonesia
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Call For Papers

The ICMMEPH provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Applied Mathematics, Mathematical Modeling, encouraging participation from emerging researchers and fostering academic growth.

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

01
Mathematical modeling of infectious diseases
02
Statistical methods in epidemiological studies
03
Modeling public health interventions effectiveness
04
Mathematical modeling of vaccination strategies
05
Applications of machine learning in epidemiology
06
Mathematical modeling of disease transmission dynamics
07
Impact of social behavior on disease spread
08
Mathematical modeling of chronic diseases
09
Epidemiological modeling of health systems
10
Mathematical modeling of health disparities
11
Statistical analysis of health data
12
Mathematical modeling of outbreak responses
13
Applications of network theory in epidemiology
14
Mathematical modeling of mental health issues
15
Modeling the impact of environmental factors on health
16
Mathematical modeling of healthcare resource allocation
17
Epidemiological modeling of non-communicable diseases
18
Mathematical modeling of health policy impacts
19
Applications of data science in public health
20
Mathematical modeling of aging populations

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.