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Andrew Noymer

Researcher at University of California, Irvine

Publications -  48
Citations -  1034

Andrew Noymer is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Population & Life expectancy. The author has an hindex of 15, co-authored 47 publications receiving 873 citations. Previous affiliations of Andrew Noymer include International Institute for Applied Systems Analysis & University of California.

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The 1918 influenza epidemic's effects on sex differentials in mortality in the United States.

TL;DR: It is conjecture the existence of a selection effect, whereby many 1918 influenza deaths were among tuberculous persons, so that tuberculosis death rates dropped in later years, disproportionately among males, and an analysis of causes of deaths shows a link with tuberculosis.
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Vitamin D (25OHD) Serum Seasonality in the United States

TL;DR: Serum vitamin D levels can be modeled as a function of date, working through a double-log transformation of minimal solar airmass (easily calculated from solar altitude, retrievable from an online solar altitude/azimuth table).
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The 1918 influenza pandemic hastened the decline of tuberculosis in the United States: An age, period, cohort analysis

TL;DR: The hypothesis that the influenza pandemic affected the long-term decline of tuberculosis through selective mortality, such that many people with tuberculosis were killed in 1918, depressing subsequent tuberculosis mortality and transmission is taken up.
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Testing the influenza-tuberculosis selective mortality hypothesis with Union Army data.

TL;DR: Using Cox regression, this paper shows a weak association between having tuberculosis and dying from influenza among Union Army veterans in late nineteenth-century America, cautiously point toward an explanation of Noymer and Garenne's selection effect in terms of age-overlap of the 1918 pandemic mortality and tuberculosis morbidity.
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The transmission and persistence of ‘urban legends’: sociological application of age-structured epidemic models

TL;DR: In this paper, the authors describe two related epidemic models of rumor transmission in an age-structured population, where skeptics are modeled to take an active role in trying to convince others that the rumor is false.