Cargando…
Optimal parameterization of COVID-19 epidemic models: 新冠肺炎流行病学模型的最优参数化
At the time of writing, coronavirus disease 2019 (COVID-19) is seriously threatening human lives and health throughout the world. Many epidemic models have been developed to provide references for decision-making by governments and the World Health Organization. To capture and understand the charact...
Autores principales: | Zhang, Li, Huang, Jianping, Yu, Haipeng, Liu, Xiaoyue, Wei, Yun, Lian, Xinbo, Liu, Chuwei, Jing, Zhikun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744005/ http://dx.doi.org/10.1016/j.aosl.2020.100024 |
Ejemplares similares
-
广东地区血液内科血流感染的病原菌流行病学分析
Publicado: (2020) -
Improvement of the global prediction system of the COVID-19 pandemic based on the ensemble empirical mode decomposition (EEMD) and autoregressive moving average (ARMA) model in a hybrid approach 基于集合经验模态分解和自回归-移动平均模型的 COVID-19 流行病全球预测系统预测结果改进
por: Liu, Chuwei, et al.
Publicado: (2021) -
6, 058例肺癌患者病理类型和临床流行病学特征的分析
Publicado: (2016) -
免疫缺陷小鼠和人源化小鼠模型的发展及其在血液学研究中的应用
Publicado: (2015) -
中国血液病患者中性粒细胞缺乏伴发热的多中心、前瞻性流行病学研究
Publicado: (2016)