The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Etiological and epidemiological features of acute respiratory infections in China
Open accessAbstract
Nationwide prospective surveillance of all-age patients with acute respiratory infections was conducted in China between 2009‒2019. Here we report the etiological and epidemiological features of the 231,107 eligible patients enrolled in this analysis. Children <5 years old and school-age children have the highest viral positivity rate (46.9%) and bacterial positivity rate (30.9%). Influenza virus, respiratory syncytial virus and human rhinovirus are the three leading viral pathogens with proportions of 28.5%, 16.8% and 16.7%, and Streptococcus pneumoniae, Mycoplasma pneumoniae and Klebsiella pneumoniae are the three leading bacterial pathogens (29.9%, 18.6% and 15.8%). Negative interactions between viruses and positive interactions between viral and bacterial pathogens are common. A Join-Point analysis reveals the age-specific positivity rate and how this varied for individual pathogens. These data indicate that differential priorities for diagnosis, prevention and control should be highlighted in terms of acute respiratory tract infection patients’ demography, geographic locations and season of illness in China.
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
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Self-citationEarly transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Self-citationvan den Bergh, M. R., Biesbroek, G., Rossen, J. W. A., de Steenhuijsen Piters, W. A. A., Bosch, A. A. T. M., van Gils, E. J. M., Wang, X., Boonacker, C. W. B., Veenhoven, R. H., Bruin, J. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047711 · Cited by 208
Self-citationJacoby, P., Watson, K., Bowman, J., Taylor, A., Riley, T. V., Smith, D. W., & Lehmann, D. (2007) · Vaccine · doi:10.1016/j.vaccine.2006.09.020 · Cited by 96
Karppinen, S., Teräsjärvi, J., Auranen, K., Schuez-Havupalo, L., Siira, L., He, Q., Waris, M., & Peltola, V. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201702-0357oc · Cited by 50
Cited by
Liu, Y.-N., Zhang, Y.-F., Xu, Q., Qiu, Y., Lu, Q.-B., Wang, T., Zhang, X.-A., Lin, S.-H., Lv, C.-L., Jiang, B.-G., et al. (2023) · The Lancet Microbe · doi:10.1016/s2666-5247(23)00031-9 · Cited by 291
Self-citation
Metadata
- Authors
- Li, Z.-J., Zhang, H.-Y., Ren, L.-L., Lu, Q.-B., Ren, X., Zhang, C.-H., Wang, Y.-F., Lin, S.-H., Zhang, X.-A., Li, J., Zhao, S.-W., Yi, Z.-G., Chen, X., Yang, Z.-S., Meng, L., Wang, X.-H., Liu, Y.-L., Wang, X., Cui, A.-L., Lai, S.-J., Jiang, T., Yuan, Y., Shi, L.-S., Liu, M.-Y., Zhu, Y.-L., Zhang, A.-R., Zhang, Z.-J., Yang, Y., Ward, M. P., Feng, L.-Z., Jing, H.-Q., Huang, L.-Y., Xu, W.-B., Chen, Y., Wu, J.-G., Yuan, Z.-H., Li, M.-F., Wang, Y., Wang, L.-P., Fang, L.-Q., Liu, W., Hay, S. I., Gao, G. F., Yang, W.-Z., The Chinese Centers for Disease Control and Prevention (CDC) Etiology of Respiratory Infection Surveillance Study Team, Yang, W.-Z., Gao, G. F., Li, Z.-J., Wang, L.-P., Ren, X., Wang, Y.-F., Lin, S.-H., Zhang, C.-H., Geng, M.-J., Wang, X., Jing, H.-Q., Xu, W.-B., Cui, A.-L., Shen, Y.-J., Jiang, Y.-Y., Sun, Q., Hao, L.-P., Ye, C.-C., Liu, W., Zhang, X.-A., Huang, L.-Y., Wang, Y., Zhang, W.-Y., Zhang, Q., Liu, W.-Y., Sun, Z.-Y., Zhan, F.-X., Xiong, Y., Yu, D.-S., Wang, C.-X., Zhao, S.-C., Wang, W.-R., Lei, X., Li, J.-S., Wang, Y.-H., Zhang, Y., Yang, J.-P., Wang, Y.-B., Quan, F.-C., Xiong, Z.-J., Liang, L.-P., Chang, Q.-E., Wang, Y., Wang, P., Mao, L.-L., Li, J.-M., Lv, L.-K., Xu, J., Shu, C., Chen, X., Chen, Y., Zhang, Y.-J., Cui, L.-B., Zheng, K.-C., Zhang, X.-G., Zhang, X., Tu, L.-H., Wang, W., Zhou, X.-F., Pei, X.-F., Zheng, T.-L., Zhong, X.-N., Li, Q., Ling, H., Wang, D.-M., Li, S.-J., He, S.-S., Zhu, X., Ke, C.-W., Xiao, H., Di, B., Zhang, Y., Zhou, H.-W., Yu, N., Li, H.-J., Yang, F., Wang, F.-X., & Wang, J.
- Venue
- Nature Communications
- Published
- 2021-08-18
- Volume
- 12
- Issue
- 1
- Pages
- 5026-5026
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3194441010
- Cited by
- 530
- References
- 5
- FWCI
- 36.00
- Type
- journal article
- Language
- en
- Open access
- gold
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: Etiological and epidemiological features of acute respiratory infections in China. https://app.cochat.ai/papers/10.1038/s41467-021-25120-6
- The paper
- Li, Z.-J., Zhang, H.-Y., Ren, L.-L., Lu, Q.-B., Ren, X., Zhang, C.-H., Wang, Y.-F., Lin, S.-H., Zhang, X.-A., Li, J., Zhao, S.-W., Yi, Z.-G., Chen, X., Yang, Z.-S., Meng, L., Wang, X.-H., Liu, Y.-L., Wang, X., Cui, A.-L., . . . Wang, J. (2021). Etiological and epidemiological features of acute respiratory infections in China. Nature Communications. https://doi.org/10.1038/s41467-021-25120-6
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.
