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DTSTART;TZID=UTC:20240829T080000
DTEND;TZID=UTC:20240830T170000
DTSTAMP:20260430T074301
CREATED:20240809T054938Z
LAST-MODIFIED:20240809T054938Z
UID:15689-1724918400-1725037200@www.chuka.ac.ke
SUMMARY:Training on Malaria Modeling using R Software to Develop Practical Skills in Combating Malaria within the Kenyan Context
DESCRIPTION:Join us for two days training workshop organized by the Faculty of Science and Technology\, Chuka University Kenya and Sponsored by Applied Malaria Modeling Network (AMMnet). \n  \n\nAim of the Event\n\nThis training aim to introduce practical applications of malaria modeling using R Software. The training will Leverage learning and knowledge-sharing with the goal of improving the quality of analytical support offered to malaria programs and advancing general malaria research. \n\nImportant information\n\n  \nDate: 29th to 30th August 2024 \nTime: 8:00 a.m – 4:30 p.m daily \nVenue: Chuka University\, Kenya \n  \nExpected No. of Participant: 30-50 Participants \n  \n\nRegistration Details\n\nRegister Form at: https://forms.gle/VGsS7eiK5qEsrWVA8  \nRegistration Deadline: Before or on 14th August 2024 at 5:00 pm EAT \nRegistration Fee: Ksh. 2000/=  \n(Payable to Chuka University M-Pesa pay bill No:  247 247; A/C No: 0703142459 \n  \n\nEvent Highlights\n\n\nKey note presentations from the experts\nHands-on-workshop to enhance your skills in model development/simulations and data analysis\nNet-working opportunities\n\n\nPARTICIPANTS\n\n\nFaculty members\nResearch scientists\nData scientists\nMathematician/statistician\nHealth workers/Medical practitioners\nPost graduate students(PhD/MSc)\n\n\nDetailed schedule (Subject to change)\n\n\n\n\nDAY ONE\n\n\n9.00 – 9.30am\nRegistration\n\n\n9.30 – 10.00am\nSelf-Introduction – Networking\n\n\n10.00 – 10.10am\nWelcome Remarks:AMMnet mission and vision\, aim of the event and welcoming new members to AMMnet Kenya Chapter\n\n\n10.10 – 10.30am\nOpening Remarks – Official Welcome \n\n\n10.30 – 11.00am\nHealth Break\, Networking and Photography session\n\n\n11.00 – 11.30pm\nOverview of different types of Models (Dynamical\, Geospatial and Genomics Modelling) \n\n\n11.30 – 1.00pm\nIntroduction to R and Data Visualization \n\n\n1.00 – 2.00pm\nLunch Break\, and Networking\n\n\n2.00– 3.30pm\nComputational Malaria Modelling Techniques in Machine Learning Algorithms  using R\n\n\n3.30– 5.00pm\n\n\n\nDAY TWO\n\n\n8.30– 9.00am\nRegistration\n\n\n9.00 – 11.00am\nMalaria Modelling Techniques in Machine Learning Algorithms  in R & Rstudio using NMCP data\n\n\n11.00 – 11.30am\nHealth Break\, Networking and Photography session\n\n\n11.30– 1.00pm\nDevelopment/Formulation of Compartmental Models\n\n\n1.00 – 2.00pm\nLunch Break\, and Networking\n\n\n2.00 – 4.00pm\nSimulation and Validation of Compartmental Models in R Using NMCP data\n\n\n4.00 – 5.00pm\nIntegrating a Compartmental Model into a Shiny App with R software\n\n\n5.00 – 5.30pm\nEvaluation of the training – Online survey tool \n\n\n5.30 – 6.00pm\nClosing Remarks\n\n\n6.00pm\nDeparture\n\n\n\n\nORGANIZERS\n\nFaculty of Science and Technology\, \nChuka University\, Kenya \n\nHost Organizing committee\n\n\nProf. Paul Kamweru \nProf. Dennis Muriithi \nDr. Mark Okongo \nDr. Alice Lunani\n\n\nFacilitators & scientific organizer\n\nMark Okongo\, PhD \nMark Onyango is currently the head of Mathematics and Statistics section and senior lecturer in Applied mathematics at Chuka University\, Kenya. He holds a PhD in Applied Mathematics from Chuka University-Kenya\, M.Sc. in Applied Mathematics from Maseno University\, Kenya and a B.Ed in Mathematics and Economics from Kenyatta University\, Kenya. He specializes in Mathematical Modeling (Mathematical Epidemiology and Phytopathology). Currently\, his research focuses on Mathematical Modeling of Malaria Transmission. He actively collaborates with both academic and industry partners to address real-world challenges using statistical tools. \nDennis Muriithi\, PhD \nDennis K. Muriithi is an Associate Professor of Applied statistics in the Faculty of Science and Technology at the Chuka University\, Kenya. He holds a PhD in Biostatistics from Moi University\, Kenya and MSc in Applied statistics form JKUAT\, Kenya. He is a dedicated educator\, a researcher\, and a recognized expert in the field of Applied Statistics and data analytics. Prof. Muriithi is dedicated to advancing scientific knowledge\, mentoring future scientists\, and promoting interdisciplinary research. His work focuses on Applied Statistics and data analytics: Machine Learning and Predictive Inference with application to Agriculture\, Education\, Health science and economic studies. He actively collaborates with both academic and industry partners to address real-world challenges using statistical tools. \n \n\nContact details\n\nEmail: dataanalytics@chuka.ac.ke \nWebsite: https://fast.chuka.ac.ke/TMMS2024    \n    https://ammnet.org           
URL:https://www.chuka.ac.ke/event/training-on-malaria-modeling-using-r-software-to-develop-practical-skills-in-combating-malaria-within-the-kenyan-context/
LOCATION:Chuka University\, 109\, Chuka\, 60400\, Kenya
CATEGORIES:Training
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