Introduction

The COVID-19 pandemic highlighted significant disparities in health outcomes, with vulnerable populations—such as older adults, racial minorities, and low-income communities—experiencing higher mortality than other groups. Population health examines health outcomes within groups, considering demographic factors such as age, sex, ethnicity, socioeconomic status, and geographic location.
Understanding these demographic patterns helps policymakers and healthcare professionals develop targeted interventions, ensuring equitable healthcare access and improving public health responses

Participants Requirements

• Basic knowledge of demographic methods and data analysis.
• Experience with statistical software (R preferred).
• Laptop with R and R Studio installed.

Key Features

• Understanding Population Health – Demographic changes during COVID-19 pandemic
• Population Health using
  ‘R Programming Language’
• Group Activity Enhanced by
  the International Student Participation
• Use of international databases :
  - United Nations (World Population Prospects) and Global Burden of Disease,
  - Human Mortality Database, and others 

Sessions

• Session 1 (Mon): Excess deaths during pandemics - HIV/AIDS & COVID-19
• Session 2 (Tue): Functions of the life table and their disparities
• Session 3 (Wed): Causes of death analysis (life expectancy decomposition)
• Session 4 (Thu): Life years lost and cause eliminated/reduced method
• Session 5 (Fri): Observed vs expected life expectancy

Comments from Previous Participants