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Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009
BACKGROUND: Influenza is a contagious respiratory disease responsible for annual seasonal epidemics in temperate climates. An understanding of how influenza spreads geographically and temporally within regions could result in improved public health prevention programs. The purpose of this study was...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314628/ https://www.ncbi.nlm.nih.gov/pubmed/22470544 http://dx.doi.org/10.1371/journal.pone.0034245 |
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author | Stark, James H. Sharma, Ravi Ostroff, Stephen Cummings, Derek A. T. Ermentrout, Bard Stebbins, Samuel Burke, Donald S. Wisniewski, Stephen R. |
author_facet | Stark, James H. Sharma, Ravi Ostroff, Stephen Cummings, Derek A. T. Ermentrout, Bard Stebbins, Samuel Burke, Donald S. Wisniewski, Stephen R. |
author_sort | Stark, James H. |
collection | PubMed |
description | BACKGROUND: Influenza is a contagious respiratory disease responsible for annual seasonal epidemics in temperate climates. An understanding of how influenza spreads geographically and temporally within regions could result in improved public health prevention programs. The purpose of this study was to summarize the spatial and temporal spread of influenza using data obtained from the Pennsylvania Department of Health's influenza surveillance system. METHODOLOGY AND FINDINGS: We evaluated the spatial and temporal patterns of laboratory-confirmed influenza cases in Pennsylvania, United States from six influenza seasons (2003–2009). Using a test of spatial autocorrelation, local clusters of elevated risk were identified in the South Central region of the state. Multivariable logistic regression indicated that lower monthly precipitation levels during the influenza season (OR = 0.52, 95% CI: 0.28, 0.94), fewer residents over age 64 (OR = 0.27, 95% CI: 0.10, 0.73) and fewer residents with more than a high school education (OR = 0.76, 95% CI: 0.61, 0.95) were significantly associated with membership in this cluster. In addition, time series analysis revealed a temporal lag in the peak timing of the influenza B epidemic compared to the influenza A epidemic. CONCLUSIONS: These findings illustrate a distinct spatial cluster of cases in the South Central region of Pennsylvania. Further examination of the regional transmission dynamics within these clusters may be useful in planning public health influenza prevention programs. |
format | Online Article Text |
id | pubmed-3314628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33146282012-04-02 Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 Stark, James H. Sharma, Ravi Ostroff, Stephen Cummings, Derek A. T. Ermentrout, Bard Stebbins, Samuel Burke, Donald S. Wisniewski, Stephen R. PLoS One Research Article BACKGROUND: Influenza is a contagious respiratory disease responsible for annual seasonal epidemics in temperate climates. An understanding of how influenza spreads geographically and temporally within regions could result in improved public health prevention programs. The purpose of this study was to summarize the spatial and temporal spread of influenza using data obtained from the Pennsylvania Department of Health's influenza surveillance system. METHODOLOGY AND FINDINGS: We evaluated the spatial and temporal patterns of laboratory-confirmed influenza cases in Pennsylvania, United States from six influenza seasons (2003–2009). Using a test of spatial autocorrelation, local clusters of elevated risk were identified in the South Central region of the state. Multivariable logistic regression indicated that lower monthly precipitation levels during the influenza season (OR = 0.52, 95% CI: 0.28, 0.94), fewer residents over age 64 (OR = 0.27, 95% CI: 0.10, 0.73) and fewer residents with more than a high school education (OR = 0.76, 95% CI: 0.61, 0.95) were significantly associated with membership in this cluster. In addition, time series analysis revealed a temporal lag in the peak timing of the influenza B epidemic compared to the influenza A epidemic. CONCLUSIONS: These findings illustrate a distinct spatial cluster of cases in the South Central region of Pennsylvania. Further examination of the regional transmission dynamics within these clusters may be useful in planning public health influenza prevention programs. Public Library of Science 2012-03-28 /pmc/articles/PMC3314628/ /pubmed/22470544 http://dx.doi.org/10.1371/journal.pone.0034245 Text en Stark et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Stark, James H. Sharma, Ravi Ostroff, Stephen Cummings, Derek A. T. Ermentrout, Bard Stebbins, Samuel Burke, Donald S. Wisniewski, Stephen R. Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title | Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title_full | Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title_fullStr | Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title_full_unstemmed | Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title_short | Local Spatial and Temporal Processes of Influenza in Pennsylvania, USA: 2003–2009 |
title_sort | local spatial and temporal processes of influenza in pennsylvania, usa: 2003–2009 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314628/ https://www.ncbi.nlm.nih.gov/pubmed/22470544 http://dx.doi.org/10.1371/journal.pone.0034245 |
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