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Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Life Histories01:29

Life Histories

Overview
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Updated: May 28, 2026

Measurement of Lifespan in Drosophila melanogaster
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Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Mortality trends in Fiji.

Karen Carter1, Margaret Cornelius, Richard Taylor

  • 1School of Population Health, University of Queensland.

Australian and New Zealand Journal of Public Health
|October 7, 2011
PubMed
Summary

Fiji

Area of Science:

  • Public Health
  • Epidemiology
  • Demography

Background:

  • Understanding mortality trends is crucial for charting a nation's epidemiological transition.
  • Fiji's historical mortality data requires careful assessment to inform current health policies.

Purpose of the Study:

  • To evaluate mortality levels and cause of death trends in Fiji from 1940-2008.
  • To chart Fiji's epidemiological transition and discuss implications for health policy.

Main Methods:

  • Assessed published data on infant mortality rate (IMR) and life expectancy (LE) for quality.
  • Compared mortality indices from historical data with recent Ministry of Health records.
  • Analyzed trends in credible mortality estimates and proportional mortality by cause of death.

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Main Results:

  • Infant mortality rate (IMR) declined significantly, stabilizing below 20 deaths per 1,000 live births.
  • Life expectancy (LE) has plateaued since the late 1980s/early 1990s (males: 64, females: 69 years).
  • Circulatory diseases increased as a cause of death, rising from 20% to over 45% since the 1960s.
  • Identified significant inconsistencies in published mortality estimates for Fiji.

Conclusions:

  • Mortality decline in Fiji has stagnated, with chronic diseases, particularly cardiovascular diseases, being a major contributor.
  • Urgent reconciliation of Fiji's mortality data is needed to reduce uncertainty.
  • Increased emphasis on cardiovascular disease control strategies is recommended for Fiji's health services and partners.