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No of Days: 5

Price: Ksh 90000 / USD 1100

Training Course on The Use Of ICT Tools In Epidemiology; Nairobi and Mombasa, Kenya

The collection and integration of clinical data for the purpose of patient health management is becoming a reality at different aggregation levels. Although there is no world-wide Electronic Health Record format agreement, integration at regional and national levels is habitual in many countries. 

The use of ICT in epidemiology is traditionally considered from two complementary views. From one side, the collection of raw data through electronic means implies a big advance in the scalability, duration, and cost of the process. The use of the internet reduces costs, increases number of potential targets and enables a quick collection process. On the other side, ICT is used for developing and running mathematical methods to characterize and solve epidemiological models.

This course focuses on strengthening the knowledge and skills related to the utilization of software tools in investigating disease outbreaks. It is suitable for healthcare professionals.

Duration

5 days

Training Objectives

i. To create electronic entry forms from paper questionnaires

ii. To enter merge, validate and clean data, manage datasets

iii. To randomly select controls

iv. To create epidemic curves and work with dates and times in EpiData or Excel

v. To map epidemiological data

vi. To carry out analysis for cohort and case-control studies, including stratified and multivariable analysis

vii. To calculate study power and sample size for various study designs

viii. To produce a report of the outbreak study, interpreting results of the various analyses.

Course content

1. Importance of ICT tools in Epidemiology

2. Introduction to outbreak investigation, cohort and case-control studies

3. Descriptive analysis of epidemiological data using Excel/Stata

4. Creation of a questionnaire

5. Data entry and validation using EpiData

6. Analysis of place characteristics; mapping of cases using QGIS

7. Time series analysis; epidemic curve using Excel/Stata

8. Bivariate analysis of epidemiological data using Stata

Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Schedule

No Start Date End Date Action
1. 17/03/2025 21/03/2025 Register
2. 07/04/2025 11/04/2025 Register
3. 21/04/2025 25/04/2025 Register
4. 16/12/2024 20/12/2024 Register
5. 06/01/2025 10/01/2025 Register
6. 15/09/2025 19/09/2025 Register
7. 01/09/2025 05/09/2025 Register
8. 16/06/2025 20/06/2025 Register
9. 02/06/2025 06/06/2025 Register
10. 19/05/2025 23/05/2025 Register
11. 07/07/2025 11/07/2025 Register
12. 21/07/2025 25/07/2025 Register
13. 04/08/2025 08/08/2025 Register
14. 18/08/2025 22/08/2025 Register
16. 17/02/2025 21/02/2025 Register
17. 03/03/2025 07/03/2025 Register
21. 05/05/2025 09/05/2025 Register
22. 20/01/2025 24/01/2025 Register
23. 03/02/2025 07/02/2025 Register
25. 06/10/2025 10/10/2025 Register
26. 20/10/2025 24/10/2025 Register
27. 03/11/2025 07/11/2025 Register
28. 17/11/2025 21/11/2025 Register
29. 01/12/2025 05/12/2025 Register
30. 15/12/2025 19/12/2025 Register
Get In Touch

College House , Along University Way , Nairobi, Kenya

+254724527104/ +254734969612

info@datastatresearch.org

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