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Are meteorological parameters associated with acute respiratory tract infections?
Clin Infect Dis. 2009 Sep 15; 49(6):861-8.CI

Abstract

BACKGROUND

Information on the onset of epidemics of acute respiratory tract infections (ARIs) is useful in timing preventive strategies (eg, the passive immunization of high-risk infants against respiratory syncytial virus [RSV]). Aiming at better predictions of the seasonal activity of ARI pathogens, we investigated the influence of climate on hospitalizations for ARIs.

METHODS

Samples obtained from 3044 children hospitalized with ARIs in Mainz, Germany, were tested for pathogens with a multiplex reverse-transcriptase polymerase chain reaction enzyme-linked immunosorbent assay from 2001 through 2006. Hospitalizations for ARIs were correlated with meteorological parameters recorded at the University of Mainz. The frequency of hospitalization for RSV infection was predicted on the basis of multiple time series analysis.

RESULTS

Influenza A, RSV, and adenovirus were correlated with temperature and rhinovirus to relative humidity. In a time series model that included seasonal and climatic conditions, RSV-associated hospitalizations were predictable.

CONCLUSIONS

Seasonality of certain ARI pathogens can be explained by meteorological influences. The model presented herein is a first step toward predicting annual RSV epidemics using weather forecast data.

Authors+Show Affiliations

Kinderklinik, Paediatrische Infektiologie & Zentrum Praeventive Paediatrie, Universitaetsmedizin, Johannes-Gutenberg-Universitaet, Mainz, Germany.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19663691

Citation

du Prel, Jean-Baptist, et al. "Are Meteorological Parameters Associated With Acute Respiratory Tract Infections?" Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America, vol. 49, no. 6, 2009, pp. 861-8.
du Prel JB, Puppe W, Gröndahl B, et al. Are meteorological parameters associated with acute respiratory tract infections? Clin Infect Dis. 2009;49(6):861-8.
du Prel, J. B., Puppe, W., Gröndahl, B., Knuf, M., Weigl, J. A., Schaaff, F., & Schmitt, H. J. (2009). Are meteorological parameters associated with acute respiratory tract infections? Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America, 49(6), 861-8. https://doi.org/10.1086/605435
du Prel JB, et al. Are Meteorological Parameters Associated With Acute Respiratory Tract Infections. Clin Infect Dis. 2009 Sep 15;49(6):861-8. PubMed PMID: 19663691.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Are meteorological parameters associated with acute respiratory tract infections? AU - du Prel,Jean-Baptist, AU - Puppe,Wolfram, AU - Gröndahl,Britta, AU - Knuf,Markus, AU - Weigl,Josef A I, AU - Schaaff,Franziska, AU - Schmitt,Heinz-Josef, PY - 2009/8/12/entrez PY - 2009/8/12/pubmed PY - 2009/11/6/medline SP - 861 EP - 8 JF - Clinical infectious diseases : an official publication of the Infectious Diseases Society of America JO - Clin Infect Dis VL - 49 IS - 6 N2 - BACKGROUND: Information on the onset of epidemics of acute respiratory tract infections (ARIs) is useful in timing preventive strategies (eg, the passive immunization of high-risk infants against respiratory syncytial virus [RSV]). Aiming at better predictions of the seasonal activity of ARI pathogens, we investigated the influence of climate on hospitalizations for ARIs. METHODS: Samples obtained from 3044 children hospitalized with ARIs in Mainz, Germany, were tested for pathogens with a multiplex reverse-transcriptase polymerase chain reaction enzyme-linked immunosorbent assay from 2001 through 2006. Hospitalizations for ARIs were correlated with meteorological parameters recorded at the University of Mainz. The frequency of hospitalization for RSV infection was predicted on the basis of multiple time series analysis. RESULTS: Influenza A, RSV, and adenovirus were correlated with temperature and rhinovirus to relative humidity. In a time series model that included seasonal and climatic conditions, RSV-associated hospitalizations were predictable. CONCLUSIONS: Seasonality of certain ARI pathogens can be explained by meteorological influences. The model presented herein is a first step toward predicting annual RSV epidemics using weather forecast data. SN - 1537-6591 UR - https://www.unboundmedicine.com/medline/citation/19663691/Are_meteorological_parameters_associated_with_acute_respiratory_tract_infections DB - PRIME DP - Unbound Medicine ER -