Regional differences in historical diphtheria and scarlet fever notification rates in The Netherlands, 1905-1925: a spatial-temporal analysis

Scott A McDonald; Maarten van Wijhe; Hester de Melker; Dimphey van Meijeren; Jacco Wallinga

doi:10.1098/rsos.230966

Regional differences in historical diphtheria and scarlet fever notification rates in The Netherlands, 1905-1925: a spatial-temporal analysis

R Soc Open Sci. 2023 Nov 29;10(11):230966. doi: 10.1098/rsos.230966. eCollection 2023 Nov.

Authors

Scott A McDonald¹, Maarten van Wijhe², Hester de Melker¹, Dimphey van Meijeren¹, Jacco Wallinga^{1

3}

Affiliations

¹ Centre for Infectious Disease Control, Netherlands National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
² PandemiX Center, Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
³ Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.

Abstract

Background: We describe how rates of two frequently occurring notifiable diseases-diphtheria and scarlet fever-varied between regions of The Netherlands in the early twentieth century, and identify potential factors underlying this variation.

Methods: Digitized weekly mandatory notification data for 1905-1925, municipality level, were aggregated into 27 'spatial units' defined by unique combinations of province and population density category (high: more than 4500; mid : 1250-4500; low: less than 1250 inhabitants km^-²). Generalized additive regression models were fitted to estimate the associations between notification rates and population density, infant mortality rate and household income, while adjusting for temporal trends per spatial unit.

Results: Annual per capita notification rates for both diphtheria and scarlet fever tended to rise from the beginning of the period 1905-1925 until peaking around 1918/1919. Adjusted diphtheria notification rates were higher for high- and mid- compared with low-density municipalities (by 71.6 cases per 100 000, 95% confidence interval (CI) : 52.7-90.5; 39.0/100 k, 95% CI : 24.7-53.3, respectively). Scarlet fever showed similar associations with population density (35.7 cases per 100 000, 95% CI : 9.4-62.0; 21.4/100 k, 95% CI: 1.5-41.3).

Conclusions: There was considerable spatial variation in notification rates for both diseases in early twentieth century Netherlands, which could partly be explained by factors capturing variation in living conditions and socio-economic circumstances. These findings aid understanding of contemporary respiratory infection transmission.

Keywords: Corynebacterium diphtheriae; Netherlands; Streptococcus pyogenes; diphtheria; historical epidemiology; scarlet fever.

Associated data

figshare/10.6084/m9.figshare.c.6935827