The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies
Open accessAbstract
The dynamics of viral shedding and symptoms following influenza virus infection are key factors when considering epidemic control measures. The authors reviewed published studies describing the course of influenza virus infection in placebo-treated and untreated volunteers challenged with wild-type influenza virus. A total of 56 different studies with 1,280 healthy participants were considered. Viral shedding increased sharply between 0.5 and 1 day after challenge and consistently peaked on day 2. The duration of viral shedding averaged over 375 participants was 4.80 days (95% confidence interval: 4.31, 5.29). The frequency of symptomatic infection was 66.9% (95% confidence interval: 58.3, 74.5). Fever was observed in 37.0% of A/H1N1, 40.6% of A/H3N2 (p = 0.86), and 7.5% of B infections (p = 0.001). The total symptoms scores increased on day 1 and peaked on day 3. Systemic symptoms peaked on day 2. No such data exist for children or elderly subjects, but epidemiologic studies suggest that the natural history might differ. The present analysis confirms prior expert opinion on the duration of viral shedding or the frequency of asymptomatic influenza infection, extends prior knowledge on the dynamics of viral shedding and symptoms, and provides original results on the frequency of respiratory symptoms or fever.
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.
Integrity signals
Registry
Cites
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.
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
The combination of estimates from different experiments
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001666 · Cited by 5,380
Influenza-Associated Hospitalizations in the United States
Thompson, W. W. (2004) · JAMA · doi:10.1001/jama.292.11.1333 · Cited by 2,213
Review of Aerosol Transmission of Influenza A virus
Tellier, R. (2006) · Emerging Infectious Diseases · doi:10.3201/eid1211.060426 · Cited by 803
Transmissibility of 1918 pandemic influenza
Mills, C. E., Robins, J. M., & Lipsitch, M. (2004) · Nature · doi:10.1038/nature03063 · Cited by 796
Ecological and immunological determinants of influenza evolution.
Ferguson, N. M., Galvani, A. P., & Bush, R. M. (2003) · Nature · doi:10.1038/nature01509 · Cited by 746
Self-citationHayden, F. G., Treanor, J. J., Fritz, R. S., Lobo, M., Betts, R. F., Miller, M., Kinnersley, N., Mills, R. G., Ward, P., & Straus, S. E. (1999) · JAMA · doi:10.1001/jama.282.13.1240 · Cited by 550
Cited by
Airborne transmission of respiratory viruses
Wang, C. C., Prather, K. A., Sznitman, J., Jimenez, J. L., Lakdawala, S. S., Tufekci, Z., & Marr, L. C. (2021) · Science · doi:10.1126/science.abd9149 · Cited by 1,543
Critically Ill patients with 2009 influenza A(H1N1) in Mexico
Domínguez-Cherit, G. (2009) · JAMA · doi:10.1001/jama.2009.1536 · Cited by 840
Milton, D. K., Fabian, M. P., Cowling, B. J., Grantham, M. L., & McDevitt, J. J. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003205 · Cited by 669
Harper, S. A., Bradley, J. S., Englund, J. A., File, T. M., Gravenstein, S., Hayden, F. G., McGeer, A. J., Neuzil, K. M., Pavia, A. T., Tapper, M. L., et al. (2009) · Clinical Infectious Diseases · doi:10.1086/598513 · Cited by 647
Measurements of Airborne Influenza Virus in Aerosol Particles from Human Coughs
Lindsley, W. G., Blachere, F. M., Thewlis, R. E., Vishnu, A., Davis, K. A., Cao, G., Palmer, J. E., Clark, K. E., Fisher, M. A., Khakoo, R., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015100 · Cited by 423
Metadata
- Authors
- Carrat, F., Vergu, E., Ferguson, N. M., Lemaitre, M., Cauchemez, S., Leach, S., & Valleron, A.-J.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-01-29
- Volume
- 167
- Issue
- 7
- Pages
- 775-785
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2119950877
- Cited by
- 1,133
- References
- 6
- FWCI
- 59.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies. https://app.cochat.ai/papers/10.1093/aje/kwm375
- The paper
- Carrat, F., Vergu, E., Ferguson, N. M., Lemaitre, M., Cauchemez, S., Leach, S., & Valleron, A.-J. (2008). Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwm375
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.