Seasonal Patterns of Invasive Pneumococcal Disease

Pneumococcal infections increase each winter, a phenomenon that has not been well explained. We conducted population-based active surveillance for all cases of invasive pneumococcal disease in seven states; plotted annualized weekly rates by geographic location, age, and latitude; and assessed corre...

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Main Authors: Scott F. Dowell, Cynthia G. Whitney, Carolyn Wright, Charles E. Rose, Anne Schuchat
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2003-05-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/9/5/02-0556_article
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spelling doaj-76c1e8d3bc44405cb0bc0fb9798bc5e72020-11-25T01:40:02ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592003-05-019557457910.3201/eid0905.020556Seasonal Patterns of Invasive Pneumococcal DiseaseScott F. DowellCynthia G. WhitneyCarolyn WrightCharles E. RoseAnne SchuchatPneumococcal infections increase each winter, a phenomenon that has not been well explained. We conducted population-based active surveillance for all cases of invasive pneumococcal disease in seven states; plotted annualized weekly rates by geographic location, age, and latitude; and assessed correlations by time-series analysis. In all geographic areas, invasive pneumococcal disease exhibited a distinct winter seasonality, including an increase among children in the fall preceding that for adults and a sharp spike in incidence among adults each year between December 24 and January 7. Pneumococcal disease correlated inversely with temperature (r –0.82 with a 1-week lag; p<0.0001), but paradoxically the coldest states had the lowest rates, and no threshold temperature could be identified. The pattern of disease correlated directly with the sinusoidal variations in photoperiod (r +0.85 with a 5-week lag; p<0.0001). Seemingly unrelated seasonal phenomena were also somewhat correlated. The reproducible seasonal patterns in varied geographic locations are consistent with the hypothesis that nationwide seasonal changes such as photoperiod-dependent variation in host susceptibility may underlie pneumococcal seasonality, but caution is indicated in assigning causality as a result of such correlations.https://wwwnc.cdc.gov/eid/article/9/5/02-0556_articlechildcommunicable diseaseinfectionphotoperiodpneumoniaresearch
collection DOAJ
language English
format Article
sources DOAJ
author Scott F. Dowell
Cynthia G. Whitney
Carolyn Wright
Charles E. Rose
Anne Schuchat
spellingShingle Scott F. Dowell
Cynthia G. Whitney
Carolyn Wright
Charles E. Rose
Anne Schuchat
Seasonal Patterns of Invasive Pneumococcal Disease
Emerging Infectious Diseases
child
communicable disease
infection
photoperiod
pneumonia
research
author_facet Scott F. Dowell
Cynthia G. Whitney
Carolyn Wright
Charles E. Rose
Anne Schuchat
author_sort Scott F. Dowell
title Seasonal Patterns of Invasive Pneumococcal Disease
title_short Seasonal Patterns of Invasive Pneumococcal Disease
title_full Seasonal Patterns of Invasive Pneumococcal Disease
title_fullStr Seasonal Patterns of Invasive Pneumococcal Disease
title_full_unstemmed Seasonal Patterns of Invasive Pneumococcal Disease
title_sort seasonal patterns of invasive pneumococcal disease
publisher Centers for Disease Control and Prevention
series Emerging Infectious Diseases
issn 1080-6040
1080-6059
publishDate 2003-05-01
description Pneumococcal infections increase each winter, a phenomenon that has not been well explained. We conducted population-based active surveillance for all cases of invasive pneumococcal disease in seven states; plotted annualized weekly rates by geographic location, age, and latitude; and assessed correlations by time-series analysis. In all geographic areas, invasive pneumococcal disease exhibited a distinct winter seasonality, including an increase among children in the fall preceding that for adults and a sharp spike in incidence among adults each year between December 24 and January 7. Pneumococcal disease correlated inversely with temperature (r –0.82 with a 1-week lag; p<0.0001), but paradoxically the coldest states had the lowest rates, and no threshold temperature could be identified. The pattern of disease correlated directly with the sinusoidal variations in photoperiod (r +0.85 with a 5-week lag; p<0.0001). Seemingly unrelated seasonal phenomena were also somewhat correlated. The reproducible seasonal patterns in varied geographic locations are consistent with the hypothesis that nationwide seasonal changes such as photoperiod-dependent variation in host susceptibility may underlie pneumococcal seasonality, but caution is indicated in assigning causality as a result of such correlations.
topic child
communicable disease
infection
photoperiod
pneumonia
research
url https://wwwnc.cdc.gov/eid/article/9/5/02-0556_article
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