ArticleJournal of biosafety and biosecurity2022
Coronavirus disease 2019 epidemic prediction in Shanghai under the "dynamic zero-COVID policy" using time-dependent SEAIQR model.
Article in Journal of biosafety and biosecurity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 28 citations in OpenAlex.
- A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction.Scientific reports · 2025Article
- A vaccination-based COVID-19 model: Analysis and prediction using Hamiltonian Monte Carlo.Heliyon · 2024Article
- The mediating effect of resilience and COVID-19 anxiety on the relationship between social support and insomnia among healthcare workers: a cross-sectional study.Frontiers in psychiatry · 2024Article
- Assessing the impact of vaccination and medical resource allocation on infectious disease outbreak management: a case study of COVID-19 in Taiyuan City.Frontiers in public health · 2024Article
- Characteristics of humoral responses to the first coronavirus disease booster vaccine and breakthrough infection in central China: a multicentre, prospective, longitudinal cohort study.Frontiers in immunology · 2024Article
- Model-based analysis of the incidence trends and transmission dynamics of COVID-19 associated with the Omicron variant in representative cities in China.BMC public health · 2023Article
- Reflections on the dynamic zero-COVID policy in China.Preventive medicine reports · 2023Review
- Psychometric properties of the Coronavirus Anxiety Scale based on Classical Test Theory (CTT) and Item Response Theory (IRT) models among Chinese front-line healthcare workers.BMC psychology · 2023Article
- Article
- Feasible intervention combinations for achieving a safe exit of the Zero-COVID policy in China and its determinants: an individual-based model study.BMC infectious diseases · 2023Article
- Predicting the transmission dynamics of novel coronavirus infection in Shanxi province after the implementation of the "Class B infectious disease Class B management" policy.Frontiers in public health · 2023Article
- Epidemiological characteristics and transmission dynamics of the COVID-19 outbreak in Hohhot, China: a time-varying SQEIAHR model analysis.Frontiers in public health · 2023Article
- The impact of the COVID-19 pandemic on undergraduate and postgraduate students: A cross-sectional survey.Frontiers in psychiatry · 2023Article
- Emergence of SARS-CoV-2 Omicron variant and strategies for tackling the infection.Immunity, inflammation and disease · 2022Review
- Optimizing the dynamic zero-COVID policy in China.International journal of biological sciences · 2022Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It's urgently needed to assess the COVID-19 epidemic under the "dynamic zero-COVID policy" in China, which provides a scientific basis for evaluating the effectiveness of this strategy in COVID-19 control. Here, we developed a time-dependent susceptible-exposed-asymptomatic-infected-quarantined-removed (SEAIQR) model with stage-specific interventions based on recent Shanghai epidemic data, considering a large number of asymptomatic infectious, the changing parameters, and control procedures. The data collected from March 1st, 2022 to April 15th, 2022 were used to fit the model, and the data of subsequent 7 days and 14 days were used to evaluate the model performance of forecasting. We then calculated the effective regeneration number (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.