HEALTH ORGANISATION WELFARE

Mathematical Modeling Approaches to Malaria Elimination in Cameroon
2024-02-08 09:30 - 17:00 UTC | Hotel Yaahot, Yaoundé, Cameroon
REGISTER HERE

Background
The Malaria modelling symposium is a day event that seeks to favour scientific gathering and networking on malaria modelling works through oral and poster presentations belonging to a multitude of domains with interest on key topics:

Modeling the impacts of climate change
Modeling drug and insect resistance
Geospatial modelling
Modeling malaria interventions and vector control dynamics

The target for this symposium are PhD students, early career researches, postdocs, researchers and decision makers from diverse background working on malaria and have used modelling approaches who are affiliated to research institutions, Universities, community-based malaria organisations, NMCP and health centres.
The symposium has the objectives to share proposed work, work in progress, exchange knowledge and scientific ideas, strengthen local malaria modelers build collaborations within the regional AMMnet Cameroon chapter and boost interaction between modellers/analysts during discussion and networking sessions. This is in line with AMMnet mission that encourages fostering learning, connecting and career development of members from this local chapter such they may meet requirements on the field and link up to expectations, gain exposure, gain opportunities, and be more confident with AMMnet regional members modellers from Cameroon.
Date and Time
This meeting is scheduled on the 8th of February 2024 for a day starting from 9am to 5pm(CAT).
Venue
Yaoundé Cameroon, YAAHOT Hôtel, Rue Ceper
Agenda

TIME
ACTIVITIES
RESPONSIBLE

08:00 – 09:00AM
Registration and Material distribution
Secretariat

09:00–09:15AM
Welcome word HOW
Presentation of AMMnet
Isah Mohamad
Misonge Ivan

09:15–09:45AM
Keynote speaker: Malaria situation in Cameroon and gaps AND Input of modelling to Malaria Transmission
Dr Antonio Christophe

09:45 – 10:45 AM
Scientific session one: Modelling vector dynamics
-Charlotte Orneil
-Pavel Arnold
– Nadege Sonhafouo
– Junior Loic
Dr luther/Dr Kuipou

10:45 – 10:55 AM
Family Picture

10:55 – 11:30 AM
Coffee Break 1/networking

11:30 – 12:30 PM
Scientific session two
-Sylvere Kezeta
– Kaminsi Nenkam
-Ntembue Chadrac
– Pascal Sungu
Dr Hyacinth/Dr Yimga

12:30 – 01:00 PM
Keynote speaker on geospatial modelling
Prof Kamga Patrice

01:00 – 02:00 PM
Lunch

02:00 – 02:10 PM
Ice break 1

02:10 – 03:10 PM
Panel discussion: Experience sharing and practical approaches using mathematical modeling
-Dr Luther Mann: modelling climate change
-Dr Kuipou William: modelling vector dynamics
-Dr Hyacinth: Modelling bacterial infection
-Dr Yimga Michelle: modelling insecticide resistance/Machine learning

03:10 – 04:10 PM
Discussion Group Session – EGS on different thematic of the symposium
Leaded by each panel member

04:10 – 04:20 PM
Ice break 2

04:20 – 04:40 PM
Restitution of discussion groups
Any chosen member of the groups

04:40 – 04:50 PM
Brainstorming on developing plans for future regional AMMnet activities
Misonge Ivan

04:50 – 05:00 PM
Closing remarks (HOW)
Isah Mohamed

REGISTER HERE

Intensive Bootcamp Training on R - Package For Data Analysis and Statistical Modeling
2024-10-03 09:00 - 2024-10-05 17:00 | Blue Work, Rue Ceper, Elig-Essono, Yaoundé, Centre, Cameroon
EVENT PRESENTATION
This will be a 3-day hands-on workshop centered on the R software package. The training in data analytics and statistical modeling will equip participants with practical skills through direct experience and practice. Sample datasets and code will be provided to facilitate practical work and immerse participants in real-world contextual analysis. A dataset will be supplied by the trainer for use during the sessions. Group work will also be organized to engage participants in analyzing, interpreting, and making recommendations based on a real-life dataset related to a public health challenge. Group work manuscripts will be submitted, and corrections for the exercises will be provided and discussed with participants.
This training aims to provide participants with high-quality skills to master the R software package for data analysis and statistical modeling, particularly in the context of operational and implementation research related to malaria. We are confident that this workshop will advance the career development and capacity building of prospective trainees and significantly strengthen the technical and communication skills of early-career researchers interested in modeling.
DATE AND TIME
October 3rd to 5th, 2024, from 9:00 AM to 5:00 PM CAT.
VENUE
Blue Work, Rue Ceper, Yaoundé.
TARGET AUDIENCE

University students
Postdocs
Researchers
Healthcare practitioners
NMCP (National Malaria Control Program)
CBOs (Community-Based Organizations)
Local NGOs

Note: Priority will be given to registered local chapter members.
PROGRAM

Day 1 (hands-on)
Day 2 (hands on)
Day 3 (hands on)

Morning session
• General orientation and introduction to statistics
• Vectors
• Matrices
• Dataframes
Afternoon Session
• Installing packages
• setting working directory and Importing data into R (xls, csv etc)
• Data visualization (base plots)

Morning session
• Data wrangling/data cleaning
• Missing data
• One sample t.test and
Two sample t.test
Afternoon session
• One sample and two sample Test of proportion
• Chi-square test
• Odds ratio, and confidence interval
• Pearson Correlation

Group project – exercise on real life data with propose engaging solutions from participants

Morning session
• Linear regression models (simple One way Anova
• Two way Anova
• and multiple)
• Logistic regression model
Afternoon session
• Poisson regression model
• Survival analysis
• Non-parametric tests
(Sign test, Wilcoxon
Rank Test, KruskalWallis test, Friedman test)

Group project – exercise on real life data with propose engaging solutions from participants
