ArticleFrontiers in public health2023
Predicting the transmission dynamics of novel coronavirus infection in Shanxi province after the implementation of the "Class B infectious disease Class B management" policy.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Epidemiological characteristics and transmission dynamics of COVID-19 outbreaks in China: a four-year retrospective analysis using extended SEIR models.BMC public health · 2026Article
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- China's post-zero-COVID Omicron wave: A Bayesian analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- ACE2-Decoy-Conjugated PLGA-PEG Nanoparticles Loaded with Nafamostat for Potent Antiviral Activity.Viruses · 2025Article
- Article
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13 authors at 1 institution in 1 country.
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Abstract
Background: China managed coronavirus disease 2019 (COVID-19) with measures against Class B infectious diseases, instead of Class A infectious diseases, in a major shift of its epidemic response policies. We aimed to generate robust information on the transmission dynamics of novel coronavirus infection in Shanxi, a province located in northern China, after the implementation of the "Class B infectious disease Class B management" policy. Methods: We consolidated infection data in Shanxi province from December 6, 2022 to January 14, 2023 through a network questionnaire survey and sentinel surveillance. A dynamics model of the SEIQHCVR was developed to track the infection curves and effective reproduction number ( Results: Our model was effective in estimating the trends of novel coronavirus infection, with the coefficient of determination ( Conclusion: The outbreak in Shanxi province is currently at a low prevalence level. In the face of possible future waves of infection, there is a strong need to strengthen surveillance and early warning.
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