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Predicting the Impact of the COVID-19 Pandemic for the Low- and Middle-Income Countries
Zhiwei Ding; Feng Sha; Bingyu Li; Jing Kong; Yi Zhang; Yip Paul; Zhouwang Yang.
Afiliação
  • Zhiwei Ding; University of Science and Technology of China
  • Feng Sha; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Bingyu Li; Shenzhen University
  • Jing Kong; University of Science and Technology of China
  • Yi Zhang; Beijing Institute of Big Data Research
  • Yip Paul; University of Hong Kong
  • Zhouwang Yang; University of Science and Technology of China
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20167064
ABSTRACT
This study predicts the maximum hospital demand and number of infections for the LMICs in the first wave of COVID-19 pandemic. The epidemic is estimated to impose health care burden excessively exceeding the current capacity of hospitals in many LMICs, especially in Honduras, Central African Republic and Colombia.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 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: 2020 Tipo de documento: Preprint
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