Early life exposure to phthalates and immune response at one year of age in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort

2013 ◽  
Vol 2013 (1) ◽  
pp. 5836
Author(s):  
Tim K. Takaro ◽  
Huan Shu ◽  
Ryan W. Allen ◽  
Jeffrey Brook ◽  
Kathleen McLean ◽  
...  
2015 ◽  
Vol 2015 (1) ◽  
pp. 2608
Author(s):  
Tim K. Takaro ◽  
Meaghan Jones ◽  
Michael Kobor ◽  
Jeffrey Brook ◽  
Kathleen Mclean ◽  
...  

2019 ◽  
Vol 30 (1) ◽  
pp. 70-85 ◽  
Author(s):  
Garthika Navaranjan ◽  
Tim K. Takaro ◽  
Amanda J. Wheeler ◽  
Miriam L. Diamond ◽  
Huan Shu ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kim Abildgren

Purpose The Spanish Flu 1918–1920 saw a high degree of excess mortality among young and healthy adults. The purpose of this paper is a further exploration of the hypothesis that high mortality risk during The Spanish Flu in Copenhagen was associated with early life exposure to The Russian Flu 1889–1892. Design/methodology/approach Based on 37,000 individual-level death records in a new unique database from The Copenhagen City Archives combined with approximate cohort-specific population totals interpolated from official censuses of population, the author compiles monthly time series on all-cause mortality rates 1916–1922 in Copenhagen by gender and one-year birth cohorts. The author then analyses birth cohort effects on mortality risk during The Spanish Flu using regression analysis. Findings The author finds support for hypotheses relating early life exposure to The Russian Flu to mortality risk during The Spanish Flu. Some indications of possible gender heterogeneity during the first wave of The Spanish Flu – not found in previous studies – should be a topic for future research based on data from other countries. Originality/value Due to lack of individual-level death records with exact dates of birth and death, previous studies on The Spanish Flu in Denmark and many other countries have relied on data with lower birth cohort resolutions than the one-year birth cohorts used in this study. The analysis in this paper illustrates how archival Big Data can be used to gain new insights in studies on historical pandemics.


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