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Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic

Identifieur interne : 001918 ( PascalFrancis/Curation ); précédent : 001917; suivant : 001919

Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic

Auteurs : Arthur W. Baker [États-Unis] ; Kyle Enfield [États-Unis] ; Beth Mehring [États-Unis] ; James C. Turner [États-Unis] ; Costi D. Sifri [États-Unis]

Source :

RBID : Pascal:12-0374056

Descripteurs français

English descriptors

Abstract

Background: The 2009 novel H1N1 influenza epidemic generated interest in regional and national influenza surveillance methods. Some systems revamped traditional syndromic and laboratory surveillance techniques, whereas others tracked influenza by Internet-based searches or other unique methods. We hypothesized that an influenza-like illness (ILI) surveillance system at a single university hospital would be accurate and useful for monitoring local influenza activity and impact. Methods: We developed a system of ILI surveillance at 8 sentinel sites associated with a university health care system before the pandemic 2009-10 influenza season. Most sentinel sites used a symptom-based definition of ILI, whereas others used electronic medical records-based definitions. Results: Results of the local ILI surveillance network correlated well with the onset and peak of the influenza season compared with state and regional ILI data, closely approximated cases of microbiologically confirmed influenza, demonstrated early onset of illness in one site in the sentinel site network, and were available several days sooner than data from existing surveillance systems. Conclusions: Local influenza surveillance at a single-institution level provided timely, useful, and accurate information, which helped guide resource utilization during the pandemic influenza season. The system was an important supplement to state and regional influenza surveillance.
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A11 02  1    @1 ENFIELD (Kyle)
A11 03  1    @1 MEHRING (Beth)
A11 04  1    @1 TURNER (James C.)
A11 05  1    @1 SIFRI (Costi D.)
A14 01      @1 Department of Medicine, University of Virginia Health System @2 Charlottesville, VA @3 USA @Z 1 aut. @Z 2 aut. @Z 5 aut.
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A14 03      @1 Center for Emergency Management, University of Virginia Health System @2 Charlottesville, VA @3 USA @Z 3 aut.
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C01 01    ENG  @0 Background: The 2009 novel H1N1 influenza epidemic generated interest in regional and national influenza surveillance methods. Some systems revamped traditional syndromic and laboratory surveillance techniques, whereas others tracked influenza by Internet-based searches or other unique methods. We hypothesized that an influenza-like illness (ILI) surveillance system at a single university hospital would be accurate and useful for monitoring local influenza activity and impact. Methods: We developed a system of ILI surveillance at 8 sentinel sites associated with a university health care system before the pandemic 2009-10 influenza season. Most sentinel sites used a symptom-based definition of ILI, whereas others used electronic medical records-based definitions. Results: Results of the local ILI surveillance network correlated well with the onset and peak of the influenza season compared with state and regional ILI data, closely approximated cases of microbiologically confirmed influenza, demonstrated early onset of illness in one site in the sentinel site network, and were available several days sooner than data from existing surveillance systems. Conclusions: Local influenza surveillance at a single-institution level provided timely, useful, and accurate information, which helped guide resource utilization during the pandemic influenza season. The system was an important supplement to state and regional influenza surveillance.
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C07 04  X  FRE  @0 Prévention @5 39
C07 04  X  ENG  @0 Prevention @5 39
C07 04  X  SPA  @0 Prevención @5 39
N21       @1 289
N44 01      @1 OTO
N82       @1 OTO

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Pascal:12-0374056

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<fC07 i1="03" i2="X" l="ENG">
<s0>Respiratory disease</s0>
<s5>37</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA">
<s0>Aparato respiratorio patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE">
<s0>Prévention</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG">
<s0>Prevention</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA">
<s0>Prevención</s0>
<s5>39</s5>
</fC07>
<fN21>
<s1>289</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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   |texte=   Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic
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