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...
Main Authors: | , , , , |
---|---|
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 |
id |
doaj-76c1e8d3bc44405cb0bc0fb9798bc5e7 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT scottfdowell seasonalpatternsofinvasivepneumococcaldisease AT cynthiagwhitney seasonalpatternsofinvasivepneumococcaldisease AT carolynwright seasonalpatternsofinvasivepneumococcaldisease AT charleserose seasonalpatternsofinvasivepneumococcaldisease AT anneschuchat seasonalpatternsofinvasivepneumococcaldisease |
_version_ |
1725047516589719552 |