SARS-CoV-2 containment was achievable during the early stage of the pandemic: a retrospective modelling study of the Xinfadi outbreak in Beijing
Wang, Y.; Sun, K.; Pan, Y.; Yi, L.; Huo, D.; Wu, Y.; Dong, S.; Guo, J.; Dou, X.; Wang, W.; Wu, S.; Bai, X.; Yu, H.; Wang, Q.
Show abstract
Prior to the emergence of the Omicron variant, many cities in China had been able to maintain a "Zero-COVID" policy. They were able to achieve this without blanket city-wide lockdown and through widespread testing and an extensive set of nonpharmaceutical interventions (NPIs), such as mask wearing, contact tracing, and social distancing. We wanted to examine the effectiveness of such a policy in containing SARS-CoV-2 in the early stage of the pandemic. Therefore, we developed a fully stochastic, spatially structured, agent-based model of SARS-CoV-2 ancestral strain and reconstructed the Beijing Xinfadi outbreak through computational simulations. We found that screening for symptoms and among high-risk populations served as methods to discover cryptic community transmission in the early stage of the outbreak. Effective contact tracing could greatly reduce transmission. Targeted community lockdown and temporal mobility restriction could slow down the spatial spread of the virus, with much less of the population being affected. Population-wide mass testing could further improve the speed at which the outbreak is contained. Our analysis suggests that the containment of SARS-CoV-2 ancestral strains was certainly possible. Outbreak suppression and containment at the beginning of the pandemic, before the virus had the opportunity to undergo extensive adaptive evolution with increasing fitness in the human population, could be much more cost-effective in averting the overall pandemic disease burden and socioeconomic cost.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Predicting the impact of COVID-19 non-pharmaceutical intervention on short- and medium-term dynamics of enterovirus D68 in the US 96%
- Modeling the transmission dynamics of African swine fever virus within commercial swine barns: Quantifying the contribution of multiple transmission pathways 95%
- Gaps in mobility data and implications for modelling epidemic spread: a scoping review and simulation study 95%
Similar papers in this journal
- A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2 95%
- Dynamics of COVID-19 under social distancing measures are driven by transmission network structure 95%
- Rural-to-Urban Migrant Worker Mobility Shaped Measles Epidemics in China 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.