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Cited by 158

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Incidence of Acute Gastroenteritis and Role of Norovirus, Georgia, USA, 2004-2005

Open access
Hall, Aron·2011·Emerging Infectious Diseases

Abstract

Approximately 179 million cases of acute gastroenteritis (AGE) occur annually in the United States. However, lack of routine clinical testing for viruses limits understanding of their role among persons seeking medical care. Fecal specimens submitted for routine bacterial culture through a health maintenance organization in Georgia, USA, were tested with molecular diagnostic assays for norovirus, rotavirus, astrovirus, sapovirus, and adenovirus. Incidence was estimated by using national health care utilization rates. Routine clinical diagnostics identified a pathogen in 42 (7.3%) of 572 specimens; inclusion of molecular viral testing increased pathogen detection to 15.7%. Community AGE incidence was 41,000 cases/100,000 person-years and outpatient incidence was 5,400/100,000 person-years. Norovirus was the most common pathogen, accounting for 6,500 (16%) and 640 (12%) per 100,000 person-years of community and outpatient AGE episodes, respectively. This study demonstrates that noroviruses are leading causes of AGE among persons seeking medical care.

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Metadata

Authors
Hall, A.
Venue
Emerging Infectious Diseases
Published
2011-08
Volume
17
Issue
8
Pages
1381-8
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W1978458207
Cited by
158
References
3
FWCI
10.01
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Incidence of Acute Gastroenteritis and Role of Norovirus, Georgia, USA, 2004-2005. https://app.cochat.ai/papers/10.3201/eid1708.101533
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Hall, A. (2011). Incidence of Acute Gastroenteritis and Role of Norovirus, Georgia, USA, 2004-2005. Emerging Infectious Diseases. https://doi.org/10.3201/eid1708.101533

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.