Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 846

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The Economic Burden of Non–Influenza-Related Viral Respiratory Tract Infection in the United States

Fendrick, A. Mark, Monto, Arnold S., Nightengale, Brian, Sarnes, Matthew·2003·Archives of Internal Medicine

Abstract

BACKGROUND: Viral respiratory tract infection (VRTI) is the most common illness in humans. Despite the high incidence, the economic impact of non-influenza-related VRTI has not been rigorously explored. Our objectives were to obtain an updated incidence of non-influenza-related VRTI in the United States and to quantify the health care resource use (direct costs) and productivity losses (indirect costs) associated with these infections. METHODS: A nationwide telephone survey of US households (N = 4051) was conducted between November 3, 2000, and February 12, 2001 to obtain a representative estimate of the self-reported incidence of non-influenza-related VRTI and related treatment patterns. Direct treatment costs measured included outpatient clinician encounters, use of over-the-counter and prescription drugs, and associated infectious complications of non-influenza-related VRTI. Absenteeism estimates for infected individuals and parents of infected children were extrapolated from National Health Interview Survey data. RESULTS: Of survey respondents, 72% reported a non-influenza-related VRTI within the past year. Respondents who experienced a self-reported non-influenza-related VRTI averaged 2.5 episodes annually. When these rates are extrapolated to the entire US population, approximately 500 million non-influenza-related VRTI episodes occur per year. Similarly, if the treatment patterns reported by the respondents are extended to the population, the total economic impact of non-influenza-related VRTI approaches $40 billion annually (direct costs, $17 billion per year; and indirect costs, $22.5 billion per year). CONCLUSIONS: Largely because of the high attack rate, non-influenza-related VRTI imposes a greater economic burden than many other clinical conditions. The pending availability of effective antiviral therapies warrants increased attention be paid to this common and expensive illness.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/archinte.163.4.487

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 846

Metadata

Authors
Fendrick, A. M., Monto, A. S., Nightengale, B., & Sarnes, M.
Venue
Archives of Internal Medicine
Published
2003-02-24
Volume
163
Issue
4
Pages
487
ISSN
0003-9926 (ISSN-L)
OpenAlex
W2107533173
Cited by
846
References
5
FWCI
12.33
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.