About Multidisciplinary approaches to historical health inequalities (1800 – 2022)

Health inequalities have been a persistent challenge across societies and time. This Collection, developed under the framework of COST Action The Great Leap: Multidisciplinary approaches to health inequalities, 1800–2022 (CA22116), brings together scholars from history, epidemiology, demography, data science, and public health to explore the long-term trajectories and mechanisms behind health disparities between 1800 and 2022 by using cause-specific mortality data.

The Collection welcomes a broad range of contributions - from Research Articles, Case Studies, Open Letters, Essays, and Reviews - as long as they fall within the general scope of the objectives of GREATLEAP: https://www.cost.eu/actions/CA22116/

In addition to welcoming submissions that broadly address historical health inequalities in this main collection, we also welcome articles addressing specific thematic and methodological aims below:

1. Coding and Classifying Historical Causes-of-Death
   1. This collection is focused on methodological work addressing how to code, standardize, and classify historical cause-of-death data.
   2. Recommended Article types: Data Notes, Methods Articles
2. Approaches and Tools for Individual-level Cause-specific Mortality Data
   1. This collection is dedicated to the application and development of analytical approaches, tools, and resources for analysing cause-specific mortality at the individual level
   2. Recommended Article types: Methods Articles, Brief Reports, Software Tools
3. Comparisons between Space and Time using Individual-level Cause-of-Death Data
   1. This collection concentrates on comparative research that uses individual-level cause-of-death data to study differences and changes across regions and historical periods.
   2. Requirement: At least two authors from two different countries must be involved, which compare areas between different countries.
   3. Recommended Article types: Research Articles, Brief Reports, Case Studies

Together, these contributions aim to build robust, comparative, and interdisciplinary evidence to better understand how health inequalities have evolved, the methodologies required to study them, and the broader implications for societies past and present.