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GEOS1100 LEC3

Introduction

  • Instructor welcomes students and mentions the purpose of the session.

  • Addressing questions from the previous lecture before diving into today’s content.

Blackboard Overview

  • Navigation on Blackboard

    • All course materials can be found under "Learning Resources."

    • Resources are organized by lectures and modules.

    • Lecture slides are typically uploaded the day before lecture.

Demographic Transition Model

  • Understanding the stages of the Demographic Transition Model is crucial.

  • Stages:

    • Stage 1: High birth and death rates stabilize population at young, rural societies.

    • Stage 2: Decline in mortality leads to rapid population growth.

    • Stage 3: Fertility rates decline, population growth starts to stabilize.

    • Stage 4/5: Population becomes older and stable or declines in urban settings.

  • Key Understanding:

    • Decline in mortality precedes decline in fertility.

    • Population growth can increase by ratios of three to four times during stages two and three.

Case Study: Palestine

  • Instructor discusses demographic transition in Palestine as a UN observer state.

  • Relevant data includes information from East Jerusalem, West Bank, and Gaza.

  • Demographic Stage Classification: Likely between Stage 2 and 3 based on fertility and mortality rates.

Dynamics of Demographic Change

  • Crude Birth Rate (CBR) and Crude Death Rate (CDR):

    • Important metrics on demographic transition graph.

    • Death rates show spikes due to conflicts such as the recent war.

  • Natural Increase: Difference between births and deaths that can be positive or negative.

  • Migration:

    • Migration needs to be added to the population model for accuracy.

    • Net Migration: More immigrants than emigrants results in a positive net migration.

Mortality Decline and Population Change

  • Focus on mortality as the initiating factor in demographic transitions.

  • Discussing the importance of understanding fertility, mortality, and migration for population changes.

  • Demographic Accounting Equation:

    • Population at future time = Population at present time + Births - Deaths.

  • Breaking down the components of this equation at country and regional levels.

Measuring Mortality

  • Overview of critical measures of mortality and their limitations.

  • Importance of the Crude Death Rate (CDR):

    • Calculated as the number of deaths per 1,000 individuals.

    • May misrepresent actual mortality trends because it ignores population age structure.

  • Introduction to Infant Mortality Rate (IMR):

    • Critical indicator reflecting health conditions in a country; higher in less developed regions.

  • Life Expectancy: Average life years expected at birth, and can be misleading depending on current death conditions.

Historical Changes in Life Expectancy

  • Patterns of life expectancy changes throughout history.

  • Increasing life expectancy correlated to agricultural advancements, living conditions, and healthcare milestones over time.

  • Notable declines due to pandemics and wars (e.g., Black Death, Spanish Influenza).

Epidemiological Transition Theory

  • Related to demographic transition, focusing on changes in causes of death over time.

  • Four stages of epidemiological transition reflect shifts in mortality causes:

    • Stage 1: Infectious disease and famine.

    • Stage 2: Decline of pandemics but prevalence of infectious diseases still high.

    • Stage 3: Rise of degenerative diseases linked to lifestyle choices (e.g., heart disease, diabetes).

    • Stage 4: Continued prevalence of degenerative diseases, but with delayed age at death due to medical advancements.

Impact of Pandemics on Mortality

  • Discussion on recent pandemics including COVID-19 and HIV/AIDS.

  • Analysis of how pandemics have historically affected life expectancy and demographic shifts, particularly in Sub-Saharan Africa.

  • Importance of data analysis in understanding the current pandemic's impact on mortality.

Conclusion

  • Importance of considering both historical context and current data in demographic studies.

  • Encouragement to ask questions as part of the learning process.

  • Reminder for workshops and final exam preparation focusing on demographic and epidemiological transitions.

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