Related Experiment Video
Updated: May 12, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
A multi-centre study on quality of routine data collection on relapses
1Medical & Scientific Department, AIFO, Italy. sunil.deepak@aifo.it
Objectives:
To assess the quality of routine data collection on relapses in leprosy programmes in six countries.
Design:
Through a questionnaire for project managers.
Results:
The number of reported relapse cases did not correlate with number of new cases in the individual projects. Even where available, skin smears were not always used for diagnosis of MB cases and relapses. The diagnosis of relapses in the participating projects was exclusively on clinical basis - in 91.8% on the basis of new lesions.
Conclusion:
Criteria for identification of relapses were not known or not applied in uniform manner in the projects involved in the research.
Related Concept Videos
Data Collection I
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Reliability and Validity
Principles of Disease Surveillance
Data Collection III
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
