PropertyValue
?:abstract
  • BACKGROUND: COVID-19 has been impacting on the whole world critically and constantly since late December 2019. Rapidly increasing infections has raised intense worldwide attention. How to model the evolution of COVID-19 effectively and efficiently is of great significance for prevention and control. METHODS: We propose the multi-chain Fudan-CCDC model based on the original single-chain model in [Shao et al. 2020] to describe the evolution of COVID-19 in Singapore. Multi-chains can be considered as the superposition of several single chains with different characteristics. We identify the parameters of models by minimizing the penalty function. RESULTS: The numerical simulation results exhibit the multi-chain model performs well on data fitting. Though unsteady the increments are, they could still fall within the range of _30% fluctuation from simulation results. CONCLUSION: The multi-chain Fudan-CCDC model provides an effective way to early detect the appearance of imported infectors and super spreaders and forecast a second outbreak. It can also explain the data from those countries where the single-chain model shows deviation from the data. [Image: see text]
is ?:annotates of
?:creator
?:doi
  • 10.1007/s40484-020-0224-3
?:doi
?:journal
  • Quant_Biol
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/ffa0cb3f379fde05b36586c425efa19a4d653add.json
?:pmcid
?:pmid
?:pmid
  • 33251030.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Medline; PMC
?:title
  • Multi-chain Fudan-CCDC model for COVID-19—a revisit to Singapore’s case
?:type
?:year
  • 2020-11-23

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