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The Impact of Weather on Influenza and Pneumonia Mortality in New York City, 1975–2002: A Retrospective Study

Overview of attention for article published in PLOS ONE, March 2012
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Title
The Impact of Weather on Influenza and Pneumonia Mortality in New York City, 1975–2002: A Retrospective Study
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0034091
Pubmed ID
Authors

Robert E. Davis, Colleen E. Rossier, Kyle B. Enfield

Abstract

The substantial winter influenza peak in temperate climates has lead to the hypothesis that cold and/or dry air is a causal factor in influenza variability. We examined the relationship between cold and/or dry air and daily influenza and pneumonia mortality in the cold season in the New York metropolitan area from 1975-2002. We conducted a retrospective study relating daily pneumonia and influenza mortality for New York City and surroundings from 1975-2002 to daily air temperature, dew point temperature (a measure of atmospheric humidity), and daily air mass type. We identified high mortality days and periods and employed temporal smoothers and lags to account for the latency period and the time between infection and death. Unpaired t-tests were used to compare high mortality events to non-events and nonparametric bootstrapped regression analysis was used to examine the characteristics of longer mortality episodes. We found a statistically significant (p = 0.003) association between periods of low dew point temperature and above normal pneumonia and influenza mortality 17 days later. The duration (r = -0.61) and severity (r = -0.56) of high mortality episodes was inversely correlated with morning dew point temperature prior to and during the episodes. Weeks in which moist polar air masses were common (air masses characterized by low dew point temperatures) were likewise followed by above normal mortality 17 days later (p = 0.019). This research supports the contention that cold, dry air may be related to influenza mortality and suggests that warning systems could provide enough lead time to be effective in mitigating the effects.

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Geographical breakdown

Country Count As %
Canada 2 2%
United States 1 1%
Israel 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 19%
Student > Master 12 14%
Student > Bachelor 11 13%
Student > Ph. D. Student 9 11%
Professor > Associate Professor 7 8%
Other 14 16%
Unknown 16 19%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Environmental Science 13 15%
Agricultural and Biological Sciences 8 9%
Nursing and Health Professions 6 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 19 22%
Unknown 16 19%