International Conference on Mathematical Modeling of Infectious Diseases

ICMMID

16th Apr – 17th Apr 2027 Nairobi, Kenya

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Registration Summary

Conference ICMMID

Date 16th Apr – 17th Apr 2027

Location Nairobi, Kenya

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Mathematical Approaches to Disease Dynamics +

This track focuses on the development and application of mathematical models to understand the dynamics of infectious diseases. Emphasis will be placed on both deterministic and stochastic models that capture the complexities of disease transmission and progression.

SDG 3 SDG 4

02 Epidemiological Modeling Techniques +

This session will explore various epidemiological modeling techniques used to predict disease spread and inform public health interventions. Participants will discuss case studies and methodologies that enhance the accuracy of epidemiological forecasts.

SDG 3 SDG 9

03 Computational Methods in Infectious Disease Modeling +

This track will highlight computational approaches and algorithms used in the simulation of infectious disease models. Topics will include numerical methods, software tools, and high-performance computing applications.

SDG 3 SDG 9

04 Biostatistical Methods for Infectious Disease Research +

This session will cover biostatistical techniques that support the analysis of infectious disease data. Discussions will include statistical inference, risk assessment, and the evaluation of intervention strategies.

SDG 3 SDG 4

05 Public Health Implications of Mathematical Models +

This track will examine how mathematical modeling informs public health policy and decision-making. Participants will explore case studies where models have guided interventions and resource allocation.

SDG 3 SDG 10

06 Simulation Techniques in Disease Spread Analysis +

This session will focus on simulation techniques used to analyze the spread of infectious diseases. Participants will discuss agent-based models, Monte Carlo simulations, and their applications in real-world scenarios.

SDG 3 SDG 9

07 Predictive Modeling in Epidemiology +

This track will delve into predictive modeling techniques that forecast the future trajectory of infectious diseases. Emphasis will be placed on model validation, uncertainty quantification, and scenario analysis.

SDG 3 SDG 9

08 Stochastic Models in Infectious Disease Dynamics +

This session will explore the role of stochastic models in capturing the randomness inherent in disease transmission. Participants will discuss the implications of stochasticity for understanding outbreaks and intervention outcomes.

SDG 3 SDG 4

09 Health Informatics and Disease Modeling +

This track will investigate the intersection of health informatics and mathematical modeling of infectious diseases. Topics will include data integration, real-time surveillance, and the use of electronic health records in model development.

SDG 3 SDG 9

10 Population Dynamics and Infectious Diseases +

This session will focus on the interplay between population dynamics and the spread of infectious diseases. Discussions will include demographic factors, migration patterns, and their impact on disease transmission.

SDG 3 SDG 10

11 Risk Analysis and Management in Infectious Disease +

This track will cover risk analysis methodologies applied to infectious disease modeling. Participants will explore frameworks for assessing risk and developing management strategies to mitigate disease outbreaks.

SDG 3 SDG 4