Training Course in Mathematical modeling for infectious diseases in Epidemiology

2 years ago Posted By : User Ref No: WURUR92524 0
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  • TypeWorkshop
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  • Location Nairobi, Kenya
  • Price
  • Date 12-09-2022 - 23-09-2022
Training Course in Mathematical modeling for infectious diseases in Epidemiology, Nairobi, Kenya
Workshop Title
Training Course in Mathematical modeling for infectious diseases in Epidemiology
Event Type
Workshop
Workshop Date
12-09-2022 to 23-09-2022
Last Date for Applying
12-09-2022
Location
Nairobi, Kenya
Organization Name / Organize By
fineresults
Organizing/Related Departments
Training
Organization Type
Company
WorkshopCategory
Both (Technical & Non Technical)
WorkshopLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Information Technology

Medical/Healthcare/Hospital

Location
Nairobi, Kenya

Introduction

Infectious diseases are disorders caused by organisms such as bacteria, viruses, fungi, protozoa, helminthes, prions or parasites and they include SARS-CoV-2, Zika, Ebola, HIV/AIDS, swine flu, MERS CoV, ringworm, trichinosis, influenza, rabies, measles, rubella, tuberculosis and malaria among others. With the increased emergence and re-emergence of these diseases, there has been equally increased use of mathematical modeling to support relevant infectious diseases stakeholders (public health, pharmaceutical industry professionals, policy makers, infectious diseases researchers) in understanding the transmission and control of these diseases. This is possible when professionals are capable of interpreting and effectively evaluating both epidemiological data and the findings of mathematical modeling studies. This 10 days course will equip participants with knowledge on infectious diseases and hands on skills on use of R studio software in mathematical modeling of infectious diseases.

 

Duration

10 days

 

Who should attend?

Public health, medical, pharmaceutical industry professionals, policy makers, veterinary scientists, medical statisticians and infectious disease researchers and anybody who is looking forward to analyzing and interpreting epidemiological data on infectious diseases and predicting the potential impact of infectious diseases control Programmes.

 

What you will learn

By the end of the training participants will be able to:

· Understand fundamental statistical concepts

· Analyze data by applying appropriate statistical techniques

· Write a simple mathematical model that is appropriate for a specific infectious disease and related research question

· Learn R Programming

· Analyze the dynamics of the model

· Use the model to consider varying cost and intervention scenarios

· Construct valid mathematical models capturing the natural history of a given infectious disease.

· Use a calibrated model to create model projections for different intervention scenarios

· Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters

· Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

 

Course outline

Module 1: R Programming

· Introduction to the R Statistical Software & R Studio

· Different Data Structures in R

· Reading in Data from Different Sources

· Indexing and Subletting of Data

· Data Cleaning: managing missing values, recoding to string variables to numeric variables

· Exploratory Data Analysis in R

 

Module 2: Understanding type of data and type of data analysis

· Descriptive Statistics

· Inferential statistics

· Test statistics- Test for normality

 

Module 3: Test statistics

· Test for independence for parametric data (one sample t test, independent sample t test, paired sample t-test, one way analysis of variance, and repeated measure anova)

· Test for independence of non-parametric data (Wilcoxon signed rank, Wilcoxon signed rank, Man Whitney, Friedman test and Kruskal Wallis test )

· Test for independence of dichotomous data- MCNemar test, Chis-quare test/ Fischers’ exact test, Cochran’s Q test

 

Module 4: Test of associations

· Tests of associations- Chis-square test of association, Pearson correlation, Speraman correlation

· Regression analysis

· Data reduction methods

 

Module 5: Developing infectious disease models

· Introduction to the major concepts used for studying the epidemiology of infectious diseases:

· Basic reproduction number

· Incubation periods

· Serial intervals, herd immunity

· Seasonal transmission

 

Module 6: Introduction to the main types of models that can be employed

· Application of model to determine optimal control strategies for outbreaks involving new pathogens as well as for endemic infection

· Learn methods for setting up deterministic models (difference and differential equations)

 

Module 7: Analysis of data and applications of modeling of seroprevalence data

· How to analyse and interpret seroprevalence data,

· Different fitting methodologies.

· estimate (age-dependent) infection incidences (“forces of infection”) for high and low infection transmission settings

· Determine how seroprevalence data can be used to estimate mixing patterns of subgroups in given populations and how different contact patterns between individuals affect the impact of control.

 

Module 8: Additional methods and dynamics - stochastic and network modeling, health economics and sensitivity analyses

· Stochastic and network models,

· Health economics

· Sensitivity analyses

 

Module 9: Applications of modeling

· Applications of mathematical models

· The extent of transmission of diseases such as malaria

 

Module 10: Case study of data analysis and modeling of infectious disease of participants’ choice

· Interpretation of results and presentation of results using tables, charts and figures

· Discussion of findings from data analysis

· Review of articles (Past papers) that have used methods and critique them

· Exercise to plan and develop a model

 

TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700/+254759285295 or Email: [email protected]

 

REQUIREMENTS

· Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

 

TRAINING FEE

· The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

 

ACCOMMODATION

· Accommodation is arranged upon request. For reservations contact us through

· Mobile: +254732776700 / +254759285295

· Or Email: [email protected]

Registration Fees
Available
Registration Fees Details
USD 1,600, KES 120,000
Registration Ways
Email
Phone
Website
Address/Venue
Fahari Palace Apartments, along Church Road, Nairobi Kenya  Fahari Palace Apartments, along Church Road, Nairobi Kenya 
Official Email ID
Contact
JOY NYONGESA

Fahari Palace Apartments, along Church Road, Nairobi Kenya

[email protected]

   +254 732 776 700      +254 732 776 700