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The Dawn is Coming -- the Description and Prediction of Omicron SARS-CoV-2 Epidemic Outbreak in Shanghai by Mathematical Modeling
Minghao Jiang; Guoyu Meng; Geng Wu.
Afiliação
  • Minghao Jiang; Shanghai Institute of Hematology, Ruijin Hospital
  • Guoyu Meng; Rujin Hospital, Shanghai
  • Geng Wu; Shanghai Jiaotong University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22273788
ABSTRACT
The COVID-19 Omicron outbreak in Shanghai has been going on for >1 month and 25 million population is subjected to strict lock-down quarantine. Until now, it is not clear how long this epidemic might end. Here, we present a time-delayed differentiation equation model to evaluate and forecast the spreading trend. Our model provides important parameters such as the average quarantine ratio, the detection interval from being infected to being tested positive, and the spreading coefficient to better understand the omicron progression. After data fitting, we concluded on 11 April that the maximum overall number infected in Shanghai would exceed 300,000 on 14 April and the turning point would be in the coming days around 13-15 April, 2022, which is perfectly in line with the real-life infection number. Furthermore, the quarantine ratio in Shanghai was found to be greater than 1, supportive of the effectiveness of the strict lockdown policy. Altogether, our mathematical model helps to define how COVID-19 epidemic progresses under the Shanghai lock-down unprecedented in human history and the Chinese zero tolerance policy.
Licença
cc_by_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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