Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 927

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Hand, foot, and mouth disease in China, 2008–12: an epidemiological study

Open access
Xing, Weijia, Liao, Qiaohong, Viboud, Cécile, Zhang, Jing, Sun, Junling, Wu, Joseph T, Chang, Zhaorui, Liu, Fengfeng, Fang, Vicky J, Zheng, Yingdong, Cowling, Benjamin J, Varma, Jay K, Farrar, Jeremy J, Leung, Gabriel M, Yu, Hongjie·2014·The Lancet Infectious Diseases

Abstract

Summary Background Hand–foot–and–mouth disease (HFMD) is a common childhood illness caused by enteroviruses. Increasingly it imposes a substantial disease burden throughout East and Southeast Asia. To better inform vaccine and other interventions, we characterized the epidemiology of HFMD in China based on enhanced surveillance. Methods We extracted epidemiological, clinical and laboratory data from reported HFMD cases during 2008–2012 and compiled climatic, geographic and demographic information. All analyses were stratified by age, disease severity, laboratory confirmation status and enterovirus subtype. Findings The surveillance registry captured 7,200,092 probable HFMD cases (annualized incidence, 1·2 per 1,000), of whom 3·7% were laboratory–confirmed and 0·03% died. Incidence and mortality were highest in children aged 12–23 months (in 2012: 38·2 cases per 1,000 and 1·5 death per 100,000). Median durations from onset to diagnosis and death were 1·5 days and 3·5 days respectively. The risk of cardiopulmonary or neurological complications was 1·1% and the severe-case fatality risk was 3·0%, with >90% of deaths associated with enterovirus 71. HFMD peaked annually in June in the North, whereas Southern China experienced semi-annual outbreaks in May and September/October. Geographic differences in seasonal patterns were weakly associated with climate and demographic factors (variance explained 8-23% and 3–19%, respectively). Interpretation This is the largest population-based study to date of the epidemiology of HFMD. Future mitigation policies should take full account of the heterogeneities of disease burden identified. Additional epidemiologic and serologic studies are warranted to elucidate local HFMD dynamics and immunity patterns and optimize interventions. Funding China–US Collaborative Program on Emerging and Re-emerging Infectious Diseases; World Health Organization; The Li Ka Shing Oxford Global Health Programme and Wellcome Trust; Harvard Center for Communicable Disease Dynamics; Health and Medical Research Fund, Government of the Hong Kong Special Administrative Region.

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 · 10.1016/s1473-3099(13)70342-6

Cites

1 of 1 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

Show all 1 references

Cited by

See all 927

Metadata

Authors
Xing, W., Liao, Q., Viboud, C., Zhang, J., Sun, J., Wu, J. T., Chang, Z., Liu, F., Fang, V. J., Zheng, Y., Cowling, B. J., Varma, J. K., Farrar, J. J., Leung, G. M., & Yu, H.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2014-04
Volume
14
Issue
4
Pages
308-318
ISSN
1473-3099 (ISSN-L)
OpenAlex
W2124063640
Cited by
927
References
1
FWCI
55.17
Type
journal article
Language
en
Open access
green

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: Hand, foot, and mouth disease in China, 2008–12: an epidemiological study. https://app.cochat.ai/papers/10.1016/s1473-3099(13)70342-6
The paper
Xing, W., Liao, Q., Viboud, C., Zhang, J., Sun, J., Wu, J. T., Chang, Z., Liu, F., Fang, V. J., Zheng, Y., Cowling, B. J., Varma, J. K., Farrar, J. J., Leung, G. M., & Yu, H. (2014). Hand, foot, and mouth disease in China, 2008–12: an epidemiological study. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(13)70342-6

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.