Introduction to Mathematical modelling short course, 4th – 7th July 2023

Mathematical modelling

Introduction to Mathematical modelling short course, 4th – 7th July 2023

Meetings

IDEMU team meeting with David L Smith, University of Washington

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IDEMU team meeting with David L Smith, University of Washington

IDM Symposium

Infectious Diseases Modelling Symposium 2023
22nd to 24th May 2023

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IDEMU Director Abel Walekhwa at IDM Symposium 2023

Mathematical modelling

Introduction to Mathematical modelling short course, 4th – 7th July 2023 at Resilient Africa Network, Makerere University School of Public Health-Kololo

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Mathematical modelling short course

Vision

To create a platform for modelers’ contribution to national health policy agenda

Mission

To create a platform for knowledge exchange and mentorship in Infectious diseases Epidemiology and Modelling in Uganda

Core Values (RICE)

1. Research
2. Innovation
3. Collaboration
4. Excellence

Who We Are

Infectious Diseases Epidemiology and Modelling Unit is institutionalized at Department of Epidemiology and Biostatistics, Makerere University School of Public Health

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What We Do

Build capacity (Trainings) in Mathematical Modelling in Uganda
Create a platform for knowledge exchange and mentorship in Infectious diseases

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How We Do It

Training, Supervision, Capacity building, and Mentorship.

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Testimonials

5

I am deeply grateful to IDEMU, IDM, and the Gates Foundation for making the COHORT 2023 Mathematical Modelling Short Course a reality. This course has not only equipped me with valuable skills but has also empowered me to contribute meaningfully to projects that have a positive impact on society.

Thank you for your dedication to advancing the field of epidemiology and mathematical modeling. I look forward to continued learning and collaboration with IDEMU in the future. Read More

Noah Kiwanuka

Kiwanuka Noah Ssekamatte

Pharmacist

5

Am writing to share my feedback on the Mathematical Modeling training (2023), a transformative experience. This training, with its hands-on group work, has prepared me to model diseases like dengue fever and malaria, making it a comprehensive and enriching program.

I appreciate the guidance and support from instructors, and I believe the acquired knowledge and skills have practical applications in addressing real-world challenges, particularly in infectious disease modeling. Thank you for this invaluable learning opportunity. Read More

Nakalanzi Victoria

Nakalanzi Victoria

Master of Biostatistics student

5

During the Mathematical Modeling training (2023), we delved into modeling the impact of temperature and rainfall on the prevalence of Dengue fever, which significantly expanded our expertise in mathematical modeling, particularly within the Python software environment.

Furthermore, under the guidance of our skilled facilitators, we had the privilege of modeling the cost-effectiveness of interventions such as insecticide-treated nets and vaccines in the control of malaria among children aged less than 5 years. This experience not only honed my skills in cost-effective analysis but also introduced me to the use of software tools like Tree Age for this purpose.

I look forward to the prospect of more training opportunities and to further contribute to the field of mathematical modeling in the context of public health. Read More

Nakasujja Proscovia

Nakasujja Proscovia

Master of Biostatistics student

5

Testimony from mathematical modeling July 2023
I was faced with a challenge in handling repeated predictors and a single outcome binary variable. Within 1-1 session, I advised to apply machine learning. This was a new concept, however, I was given a hint about starting out in Python.
Within the teaching sessions, I was introduced to ChatGPT. This was my game-changer. At the moment, I have more knowledge in machine learning and applied it as a solution to the previous problem. ChatGPT has eased machine learning in R.
The training was quite beneficial to my side. Thanks for organizing the team, Abel and our facilitators, MakSPH, and the Bill & Melinda Gates Foundation. Read More

Rogers Nsubuga

Rogers Nsubuga