SCTIMST E-Learning and Examination System

This is a compendium of the seminars of Ph.D. Scholars.

Each section will be devoted to one scholar each.

The individual section's access will be restricted to the Ph.D. scholar and his/her Guide.

Other members can attend the open seminars (through virtual meetings).

Regular guide-student interactive meetings will be exclusively for the guide and the scholar. 

Intermediate Epidemiology is a 2 credit course. 

Objectives

It consists of three parts:

1)Part 1: Theoretical aspects of Fundamental epidemiology

The first part will cover in detail the following aspects:

1.     Basic concepts in epidemiology revisited: Epidemiology as a population science, rates, risk and prevalence, measurement and comparison

2.     Deductive and inductive reasoning: The philosophical foundations of inference, induction and deduction as ways of knowing the world, induction and deduction as applied to epidemiological thinking

3.     Study design revised: focussing on survey, cohorts and case control designs

4.     Concepts of reliability and validity, effect measures and confidence intervals, epidemiology as a measurement science

5.     The role of chance and bias in interpreting effect measures

6.     Confounding, mediation and effect modification in epidemiology

7.     Stratified data analysis as an approach to understand causative pathways in epidemiology

8.     Multivariate modeling as a tool in epidemiology

 These sessions will introduce deduction and induction as different ways of knowing the world and how these concepts apply to epidemiology. Important readings relating to these will be recommended. Critical reading exercises elaborating on the concepts will be given as homework assignments and discussed in class.

2) Part-2: Practical exercises using R

The second phase will be a practical exercise involving data analysis and report writing. A detailed plan for these sessions will be provided. 

Method of teaching

Lectures and mentored self-work with examples worked out in class and practice on data sets. Exercises will be given as homework.

3) Part 3: Emerging field in Epidemiology 

Emerging fields such as molecular epidemiology will be discussed. 

Course Evaluation

Will be based on: 

·       Written examination for 70 marks (Part-1)

 ·       Assignments for 30 marks

 Ø  Part 2 – 20 marks – Practical exercises using R – 10 marks for generation of tables and interpretation, 10 marks for interpretation of the output10 marks – Emerging fields

 Ø  Part 3- Assignments of emerging topics 

Final grade will reflect the student’s comparative position in the class as also his/ her overall performance.

These are some introductory lectures for public health students.

This is a one credit module which introduces participants to the use of medical anthropological approaches for the study of particular health conditions and/or systems

This is the in-service training for doctors working with the Dept. of Health and Family Welfare, Govt. of Kerala on Health Technology Assessment. Enrollment is restricted to government doctors from the Kerala state health department or the National Health Mission Kerala, deputed for the workshop series.

RRH-HTAIn-SCTIMST conducts the training in collaboration with the National Health Mission, Kerala, Department of Health, Kerala and the Sree Chitra Tirunal Institute for Medical Sciences & Technology, Trivandrum. 

There are eight sessions, each of 90 minutes duration from 2:30-4:00 PM on the second and fourth Tuesdays for two months.  Certificates will be given to the participants who complete all eight sessions and completes the given assignments & tests.

The course aims at building recognition of the various concepts of ethical issues in health research and enablng participants to use methods of ethical analysis for decision making.

Course objectives:

The participants will be able to:

1.       To recognise the various concepts of ethical issues in health research

2.       To have knowledge of the existing guidelines for ethics in health research and

3.       To identify and use the ethical principles for decision making

Methods of teaching:

On line Lectures, case study discussions, audio-visual material and case study discussions.

Materials:

Existing ethical guidelines (soft copies)

Readings for each session (soft copies)

Viewing of films (mandatory and optional)

Case studies (these will be emailed)

Goal

To enable public health professionals to incorporate ethical reasoning into the practice of public health

Objectives

1. To sensitise participants to the ethical issues that come up in the course of public health practice
2. To facilitate ethically informed decisions, policies and programmes
3. To equip participants with skills to advocate for ethical decision making 

This module covers main principles of Infectious Disease Epidemiology and its current trends. This module is designed for the second year students of MPH programme at AMCHSS

Modelling Infectious Diseases using the principles of reproducible research.

This module is created as a supplementary resource to the session taken by Dr Biju Soman on 25 June 2020 for the Faculty Development Program(FDP) at the School of Public Health at the Kalinga Institute of Industrial Technology(KIIT). Bhubaneswar, India.

 This course aims to enable participants to identify the need for qualitative research in public health and develop the skills to undertake qualitative research.

The course consists of three  modules, the introductory module, the applications module and the analysis module. 

Introduction: Introduction to the relevance of qualitative methods in public health research, the anthropologist’s worldview, and the various methods available.

Applications: Ethnographic interviews, observations (participant and non-participant), group interviews and discussions, other methods less used such as case studies, pile sorts, ethno-physiological representations, etc

Analysis: Translation and transcription, coding, thematic linking and introduction to computer based qualitative data analysis.