Related Experiment Video
Updated: Nov 1, 2025

08:53
Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
Published on: January 26, 2024
1.3K
Mortality, migration and epidemiological change in English cities, 1600-1870
1Cambridge Group for the History of Population and Social Structure, Department of Geography, University of Cambridge, CB2 3EN, Cambridge, UK.
International Journal of Paleopathology
|June 19, 2021
Summary
Urban health in England did not dramatically worsen during industrialisation. Instead, mortality declined from 1750-1820, influenced by infant care and pathogen evolution, not just sanitation.
Area of Science:
- Historical epidemiology
- Demographic history
- Public health
Background:
- The prevailing argument suggests industrialisation led to a severe decline in urban health in England.
- Understanding historical urban health impacts is crucial for contemporary public health policy.
Purpose of the Study:
- To test the hypothesis that industrialisation caused a dramatic worsening of urban health in England.
- To analyze long-term trends in urban mortality and their determinants.
Main Methods:
- Utilized family reconstitutions from pre-1837 records (baptism, marriage, burial).
- Analyzed civil registration of deaths and census data from 1837-1900.
- Employed age-specific mortality rates as key indicators of population health.
Main Results:
- Observed a decline in urban mortality between c.1750-1820, particularly for infants and migrants.
- Infant and young child mortality rates (ages 1-4) initially fell but rose sharply by the mid-nineteenth century.
- Mortality patterns among young adult migrants shifted from acute to chronic infectious diseases.
Conclusions:
- Changes in breastfeeding practices and pathogen virulence better explain mortality patterns than sanitation or poverty.
- Infant care, pathogen evolution, and migration significantly influenced mortality trends during industrialisation.
- Historical studies of industrialisation's health impacts should prioritize these factors.
Related Concept Videos
Applications of Life Tables
151
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...
151
Introduction to Epidemiology
1.2K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.2K
Life Tables
259
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,...
259
Statistical Methods for Analyzing Epidemiological Data
648
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
648
Introduction To Survival Analysis
463
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
463
Migration
8.2K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
8.2K

