The 1918 influenza pandemic affected sex differentials in mortality: Comment on Sawchuk

2010 ◽  
Vol 143 (4) ◽  
pp. 499-500 ◽  
Author(s):  
Andrew Noymer
Keyword(s):  
Influenza Pandemic ◽  
Sex Differentials ◽  
1918 Influenza

scholarly journals History of the Military Nurse Corps and the 1918 Influenza Pandemic: Lessons for the 2019 Coronavirus Pandemic

2020 ◽  
Author(s):  
Laura A Talbot ◽  
E Jeffrey Metter ◽  
Heather King
Keyword(s):  
World War I ◽  
Patient Outcomes ◽  
Influenza Pandemic ◽  
Treatment Options ◽  
Primary Therapy ◽  
World War ◽  
Military Nursing ◽  
History Of ◽  
1918 Influenza ◽  
The Military

ABSTRACT During World War I, the 1918 influenza pandemic struck the fatigued combat troops serving on the Western Front. Medical treatment options were limited; thus, skilled military nursing care was the primary therapy and the best indicator of patient outcomes. This article examines the military nursing’s role in the care of the soldiers during the 1918 flu pandemic and compares this to the 2019 coronavirus pandemic.

scholarly journals The 1918 influenza pandemic and subsequent birth deficit in Japan

2015 ◽  
Vol 33 ◽  
pp. 313-326 ◽  
Author(s):  
Siddharth Chandra ◽  
Yan-Liang Yu
Keyword(s):  
Influenza Pandemic ◽  
Subsequent Birth ◽  
1918 Influenza

scholarly journals Tracking Pandemic Severity Using Data on the Age Structure of Mortality: Lessons From the 1918 Influenza Pandemic in Michigan

2021 ◽  
Vol 111 (S2) ◽  
pp. S149-S155
Author(s):  
Siddharth Chandra ◽  
Julia Christensen
Keyword(s):  
Public Health ◽  
Age Structure ◽  
Goodness Of Fit ◽  
Influenza Pandemic ◽  
Age Distribution ◽  
Test Statistic ◽  
Goodness Of Fit Test ◽  
1918 Influenza ◽  
Death Data ◽  
Excess Deaths

Objectives. To test whether distortions in the age structure of mortality during the 1918 influenza pandemic in Michigan tracked the severity of the pandemic. Methods. We calculated monthly excess deaths during the period of 1918 to 1920 by using monthly data on all-cause deaths for the period of 1912 to 1920 in Michigan. Next, we measured distortions in the age distribution of deaths by using the Kuiper goodness-of-fit test statistic comparing the monthly distribution of deaths by age in 1918 to 1920 with the baseline distribution for the corresponding month for 1912 to 1917. Results. Monthly distortions in the age distribution of deaths were correlated with excess deaths for the period of 1918 to 1920 in Michigan (r = 0.83; P < .001). Conclusions. Distortions in the age distribution of deaths tracked variations in the severity of the 1918 influenza pandemic. Public Health Implications. It may be possible to track the severity of pandemic activity with age-at-death data by identifying distortions in the age distribution of deaths. Public health authorities should explore the application of this approach to tracking the COVID-19 pandemic in the absence of complete data coverage or accurate cause-of-death data.

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