The Rhythm of Death. Seasonality of Mortality in Amsterdam, 1812–1931

Between 1812 and 1931, Amsterdam experienced profound demographic, social, and epidemiological changes that reshaped how, when, and why people died. By tracing seasonal mortality patterns over this time period, trends in the rhythm of death are explored in our study. Using monthly death counts from municipal yearbooks and the Amsterdam Cause-of-Death Database, and applying wavelet power spectrum analysis, we identify both persistent winter excess mortality and key disruptions caused by epidemics. For the period 1856–1891, for which continuous cause-specific data is available, our findings reveal that, although airborne infectious diseases largely shaped the winter mortality peak, excess winter deaths remained evident even after their removal. This suggests the important role of other causes-of-death, such as cardiovascular diseases, which are caused by other factors than seasonal viruses. Beyond these findings, it is argued that environmental exposures, such as temperature and reduced sunlight, alongside social inequalities in shaping seasonal vulnerability should be taken into account in future research.

Authors

Institutions

Publication Details

Journal
Historical Life Course Studies
Published
2025-09-01
DOI
https://doi.org/10.51964/hlcs23092
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Rhythm of Death. Seasonality of Mortality in Amsterdam, 1812–1931

Katalin Buzási, Tim Riswick
Historical Life Course Studies
Climate Change and Health Impacts
article

The Rhythm of Death. Seasonality of Mortality in Amsterdam, 1812–1931

Katalin Buzási, Tim Riswick
article en

Abstract

Between 1812 and 1931, Amsterdam experienced profound demographic, social, and epidemiological changes that reshaped how, when, and why people died. By tracing seasonal mortality patterns over this time period, trends in the rhythm of death are explored in our study. Using monthly death counts from municipal yearbooks and the Amsterdam Cause-of-Death Database, and applying wavelet power spectrum analysis, we identify both persistent winter excess mortality and key disruptions caused by epidemics. For the period 1856–1891, for which continuous cause-specific data is available, our findings reveal that, although airborne infectious diseases largely shaped the winter mortality peak, excess winter deaths remained evident even after their removal. This suggests the important role of other causes-of-death, such as cardiovascular diseases, which are caused by other factors than seasonal viruses. Beyond these findings, it is argued that environmental exposures, such as temperature and reduced sunlight, alongside social inequalities in shaping seasonal vulnerability should be taken into account in future research.

Historical Life Course StudiesVol. 15
Radboud University Nijmegen (NL)
Nationaal Regieorgaan Onderwijsonderzoek
Openalex Percentile: Top 69%
Climate Change and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.