The DOI matches its Crossref record.
Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China
Open accessAbstract
OBJECTIVES: To identify the epidemiological characteristics and transmission patterns of pediatric patients with COVID-19 in China. METHODS: Nationwide case series of 2143 pediatric patients with COVID-19 reported to the Chinese Center for Disease Control and Prevention from January 16 to February 8, 2020 were included. The epidemic curves were constructed by key dates of disease onset and case diagnosis. Onset-to-diagnosis curves were constructed by fitting a log-normal distribution to data on both onset and diagnosis dates. RESULTS: There were 731 (34.1%) laboratory-confirmed cases and 1412 (65.9%) suspected cases. The median age of all patients was 7 years (interquartile range: 2-13), and 1213 cases (56.6%) were boys. Over 90% of all patients were asymptomatic, mild, or moderate cases. The median time from illness onset to diagnoses was 2 days (range: 0 to 42 days). There was a rapid increase of disease at the early stage of the epidemic and then there was a gradual and steady decrease. Disease rapidly spread from Hubei Province to surrounding provinces over time. More children were infected in Hubei province than any other province. CONCLUSIONS : Children at all ages appeared susceptible to COVID-19, and there was no significant gender difference. Although clinical manifestations of children’s COVID-19 cases were generally less severe than those of adults’ patients, young children, particularly infants, were vulnerable to infection. The distribution of children’s COVID-19 cases varied with time and space, and most of the cases concentrated in Hubei province and surrounding areas. Furthermore, this study provides strong evidence for human-to-human transmission.
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
Cited by
Systematic review of COVID‐19 in children shows milder cases and a better prognosis than adults
Ludvigsson, J. F. (2020) · Acta Paediatrica · doi:10.1111/apa.15270 · Cited by 2,301
Delayed access or provision of care in Italy resulting from fear of COVID-19
Lazzerini, M., Barbi, E., Apicella, A., Marchetti, F., Cardinale, F., & Trobia, G. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30108-5 · Cited by 1,299
COVID-19: Transmission, prevention, and potential therapeutic opportunities
Lotfi, M., Hamblin, M. R., & Rezaei, N. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.05.044 · Cited by 1,016
COVID-19 in 7780 pediatric patients: A systematic review
Hoang, A., Chorath, K., Moreira, A., Evans, M., Burmeister-Morton, F., Burmeister, F., Naqvi, R., Petershack, M., & Moreira, A. (2020) · eClinicalMedicine · doi:10.1016/j.eclinm.2020.100433 · Cited by 533
Ortiz-Prado, E., Simbaña-Rivera, K., Gómez- Barreno, L., Rubio-Neira, M., Guaman, L. P., Kyriakidis, N. C., Muslin, C., Jaramillo, A. M. G., Barba-Ostria, C., Cevallos-Robalino, D., et al. (2020) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2020.115094 · Cited by 458
Metadata
- Authors
- Eastin, C., & Eastin, T.
- Venue
- The Journal of Emergency Medicine
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 58
- Issue
- 4
- Pages
- 712-713
- ISSN
- 0736-4679 (ISSN-L)
- OpenAlex
- W3033084663
- Cited by
- 532
- References
- 0
- FWCI
- 15.57
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. https://app.cochat.ai/papers/10.1016/j.jemermed.2020.04.006
- The paper
- Eastin, C., & Eastin, T. (2020). Epidemiological characteristics of 2143 pediatric patients with 2019 coronavirus disease in China. The Journal of Emergency Medicine. https://doi.org/10.1016/j.jemermed.2020.04.006
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.