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Deaths in the Medical Officer of Health Reports, Glasgow 1898 - 1972
Creator
Angelopoulos, K, University of Glasgow
Lazarakis, S, Lancaster University
Mancy, R, University of Glasgow
Schroeder, M, University of Glasgow
Study number / PID
854730 (UKDA)
10.5255/UKDA-SN-854730 (DOI)
Data access
Open
Series
Not available
Abstract
The “Medical Officer of Health Reports”, provide valuable, historic insights into the state of public health in Glasgow. We utilize the reports compiled by the Medical Officer of Health (MOH) to gather information on mortality from different diseases.
We catalogue annual mortality rates for different diseases for the city covering the years 1898 to 1972.This research aims to assess the medium-run implications of COVID-19 on income and health inequality, and possible policies that aim to mitigate these effects. The medium run is important because the impacts of COVID-19 on inequality are expected to persist for many years. Understanding how inequality changes over the medium run, and assessing mitigation policies beyond the short term, requires information on the evolution of income and health inequalities several years after an outbreak. To achieve this, we will combine models typically applied to modern datasets with quantitative data from historical periods that, unlike contemporary data, cover extended post-outbreak periods. We will use records from Glasgow since the end of the 19th century, covering a period of intense and volatile economic activity, as well as multiple disease outbreaks. We choose Glasgow because it is a large city demonstrating similar inequalities to those seen today, and because administrative records for Glasgow provide detailed relevant information.
Our approach is the following. We will use a modelling framework that has been shown to be effective in capturing income inequality and the effects of recessions on this inequality. We will extend the modelling approach to also include health inequalities and ensure that both income and health inequalities are represented accurately using recent datasets. To set up the model so that it captures the effects of outbreaks on inequalities, we will use historical data from earlier times that include large disease outbreaks. The model will then allow us to examine the effects of different policy...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
30/06/2020 - 29/12/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
We have manually entered the data using MOH reports available at the Wellcome Library (https://wellcomelibrary.org/).Mortality from different causes is recorded as “Death/Million Living”, as reported in the relevant table in the MOH Report. For the years 1909-1913 this table is unavailable and therefore the figures have been compiled from the table containing “Total Deaths” and available population figures.Due to changing reporting requirements and inevitable progress in medical diagnostics, the classification of causes of death changes over time. Care has been taken to select aggregate categories of diseases that are consistent over time even when there are discrepancies in subcategories. For example, “Bronchitis” isn’t recorded as a separate cause of death until 1911; yet the category of “Respiratory Diseases” will include deaths from Bronchitis across all years. Irrespective of this, care should be taken, when comparing causes of death over long time periods.
Funding information
Grant number
ES/V005898/1
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.