Literature DB >> 25703695

Operation Pied Piper: a geographical reappraisal of the impact of wartime evacuation on scarlet fever and diphtheria rates in England and Wales, 1939-1945.

M R Smallman-Raynor1, A D Cliff2.   

Abstract

This paper examines the geographical impact of the British Government's wartime evacuation scheme on notified rates of two common acute childhood diseases (scarlet fever and diphtheria) in the 1470 local government districts of England and Wales, 1939-1945. Drawing on the notifications of communicable diseases collated by the General Register Office (GRO), we establish pre-war (baseline) disease rates for the 1470 districts. For the war years, techniques of binary logistic regression analysis are used to assess the associations between (a) above-baseline ('raised') disease rates in evacuation, neutral and reception districts and (b) the major phases of the evacuation scheme. The analysis demonstrates that the evacuation was temporally associated with distinct national and regional effects on notified levels of disease activity. These effects were most pronounced in the early years of the dispersal (1939-1941) and corresponded with initial levels of evacuation-related population change at the regional and district scales.

Entities:  

Keywords:  Childhood evacuation; England and Wales; World War II; diphtheria; scarlet fever

Mesh:

Year:  2015        PMID: 25703695      PMCID: PMC9151053          DOI: 10.1017/S0950268815000175

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  6 in total

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Authors: 
Journal:  Br Med J       Date:  1940-11-30

2.  Epidemiological Reflections on the Air War.

Authors: 
Journal:  Br Med J       Date:  1940-11-16

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Authors:  A H GALE
Journal:  Mon Bull Minist Health Public Health Lab Serv       Date:  1948-06

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Authors:  J A Glover
Journal:  Proc R Soc Med       Date:  1940-05

Review 5.  Regression models for ordinal responses: a review of methods and applications.

Authors:  C V Ananth; D G Kleinbaum
Journal:  Int J Epidemiol       Date:  1997-12       Impact factor: 7.196

6.  An insight on the use of multiple logistic regression analysis to estimate association between risk factor and disease occurrence.

Authors:  J Lee
Journal:  Int J Epidemiol       Date:  1986-03       Impact factor: 7.196

  6 in total

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