Training Course on The Use Of ICT Tools In Epidemiology
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.
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 |
College House , Along University Way , Nairobi, Kenya
+254724527104/ +254734969612
info@datastatresearch.org
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