GrippeAllemagneV3, Main, Exploration, bibRecord, 000415

Are meteorological parameters associated with acute respiratory tract infections?

Identifieur interne : 000415 ( Main/Exploration ); précédent : 000414; suivant : 000416

Are meteorological parameters associated with acute respiratory tract infections?

Auteurs : Jean-Baptist Du Prel [Allemagne] ; Wolfram Puppe ; Britta Gröndahl ; Markus Knuf ; Josef A I. Weigl ; Franziska Schaaff ; Heinz-Josef Schmitt

Source :

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [ 1537-6591 ] ; 2009.

RBID : pubmed:19663691

Descripteurs français

English descriptors

KwdEn :
- Acute Disease, Adenoviridae (isolation & purification), Adenovirus Infections, Human (epidemiology), Adenovirus Infections, Human (etiology), Child, Climate, Disease Outbreaks, Germany (epidemiology), Hospitalization (statistics & numerical data), Humans, Humidity, Influenza A virus (isolation & purification), Influenza, Human (epidemiology), Influenza, Human (etiology), Picornaviridae Infections (epidemiology), Picornaviridae Infections (etiology), Predictive Value of Tests, Respiratory Syncytial Virus Infections (epidemiology), Respiratory Syncytial Virus Infections (etiology), Respiratory Syncytial Viruses (isolation & purification), Respiratory Tract Infections (epidemiology), Respiratory Tract Infections (etiology), Respiratory Tract Infections (virology), Retrospective Studies, Reverse Transcriptase Polymerase Chain Reaction, Rhinovirus (isolation & purification), Seasons, Temperature.
MESH :
- geographic , epidemiology : Germany.
- epidemiology : Adenovirus Infections, Human, Influenza, Human, Picornaviridae Infections, Respiratory Syncytial Virus Infections, Respiratory Tract Infections.
- etiology : Adenovirus Infections, Human, Influenza, Human, Picornaviridae Infections, Respiratory Syncytial Virus Infections, Respiratory Tract Infections.
- isolation & purification : Adenoviridae, Influenza A virus, Respiratory Syncytial Viruses, Rhinovirus.
- statistics & numerical data : Hospitalization.
- virology : Respiratory Tract Infections.
- Acute Disease, Child, Climate, Disease Outbreaks, Humans, Humidity, Predictive Value of Tests, Retrospective Studies, Reverse Transcriptase Polymerase Chain Reaction, Seasons, Temperature.

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.

DOI: 10.1086/605435
PubMed: 19663691

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000396
to stream Main, to step Curation: 000396

Le document en format XML

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<term>Humidity</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>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.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>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.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>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.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>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.</p>
</div>
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<Month>11</Month>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="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.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="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.</AbstractText>
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<name sortKey="Weigl, Josef A I" sort="Weigl, Josef A I" uniqKey="Weigl J" first="Josef A I" last="Weigl">Josef A I. Weigl</name>
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   |texte=   Are meteorological parameters associated with acute respiratory tract infections?
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Are meteorological parameters associated with acute respiratory tract infections?

Are meteorological parameters associated with acute respiratory tract infections?

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