The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Impact of COVID-19 outbreaks and interventions on influenza in China and the United States
Open accessAbstract
Coronavirus disease 2019 (COVID-19) was detected in China during the 2019–2020 seasonal influenza epidemic. Non-pharmaceutical interventions (NPIs) and behavioral changes to mitigate COVID-19 could have affected transmission dynamics of influenza and other respiratory diseases. By comparing 2019–2020 seasonal influenza activity through March 29, 2020 with the 2011–2019 seasons, we found that COVID-19 outbreaks and related NPIs may have reduced influenza in Southern and Northern China and the United States by 79.2% (lower and upper bounds: 48.8%–87.2%), 79.4% (44.9%–87.4%) and 67.2% (11.5%–80.5%). Decreases in influenza virus infection were also associated with the timing of NPIs. Without COVID-19 NPIs, influenza activity in China and the United States would likely have remained high during the 2019–2020 season. Our findings provide evidence that NPIs can partially mitigate seasonal and, potentially, pandemic influenza.
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Cites
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Self-citationA new coronavirus associated with human respiratory disease in China
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Self-citationA novel coronavirus outbreak of global health concern
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Self-citationEstimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
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Effect of non-pharmaceutical interventions to contain COVID-19 in China
Lai, S., Ruktanonchai, N. W., Zhou, L., Prosper, O., Luo, W., Floyd, J. R., Wesolowski, A., Santillana, M., Zhang, C., Du, X., et al. (2020) · Nature · doi:10.1038/s41586-020-2293-x · Cited by 1,375
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Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., Wu, Q., Merler, S., Viboud, C., Vespignani, A., et al. (2020) · Science · doi:10.1126/science.abb8001 · Cited by 1,107
Inferring the effectiveness of government interventions against COVID-19
Brauner, J. M., Mindermann, S., Sharma, M., Johnston, D., Salvatier, J., Gavenčiak, T., Stephenson, A. B., Leech, G., Altman, G., Mikulik, V., et al. (2021) · Science · doi:10.1126/science.abd9338 · Cited by 1,065
Cited by
Uyeki, T. M., Hui, D. S., Zambon, M., Wentworth, D. E., & Monto, A. S. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00982-5 · Cited by 560
Jiang, Y., Yi, Z., Yao, Y., Hu, Y., Li, F., & Ma, H. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.991449 · Cited by 15
Metadata
- Authors
- Feng, L., Zhang, T., Wang, Q., Xie, Y., Peng, Z., Zheng, J., Qin, Y., Zhang, M., Lai, S., Wang, D., Feng, Z., Li, Z., & Gao, G. F.
- Venue
- Nature Communications
- Published
- 2021-05-31
- Volume
- 12
- Issue
- 1
- Pages
- 3249-3249
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3164443714
- Cited by
- 281
- References
- 32
- FWCI
- 31.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Feng, L., Zhang, T., Wang, Q., Xie, Y., Peng, Z., Zheng, J., Qin, Y., Zhang, M., Lai, S., Wang, D., Feng, Z., Li, Z., & Gao, G. F. (2021). Impact of COVID-19 outbreaks and interventions on influenza in China and the United States. Nature Communications. https://doi.org/10.1038/s41467-021-23440-1
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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.
