Literature DB >> 17282008

Modelling the SARS epidemic by a lattice-based Monte-Carlo simulation.

Haiping Fang1, Jixiu Chen, Jun Hu.   

Abstract

We have analyzed the SARS data and the effect of the control measure in HongKong, based on a spatial Monte-Carlo model (SEIR) with susceptibles, exposed(latent), infective, and recovered. The SARS data can be well fit by numerical simulations. The control measure is effective to decreasing the transmission by reducing the contact rate. The average value of the reproductive number is consistent with many of the previous models.

Entities:  

Year:  2005        PMID： 17282008     DOI： 10.1109/IEMBS.2005.1616239

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN： 1557-170X


  8 in total

1.  Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.

Authors:  Huwen Wang; Zezhou Wang; Yinqiao Dong; Ruijie Chang; Chen Xu; Xiaoyue Yu; Shuxian Zhang; Lhakpa Tsamlag; Meili Shang; Jinyan Huang; Ying Wang; Gang Xu; Tian Shen; Xinxin Zhang; Yong Cai
Journal:  Cell Discov       Date:  2020-02-24       Impact factor: 10.849

2.  Phase- and epidemic region-adjusted estimation of the number of coronavirus disease 2019 cases in China.

Authors:  Ruijie Chang; Huwen Wang; Shuxian Zhang; Zezhou Wang; Yinqiao Dong; Lhakpa Tsamlag; Xiaoyue Yu; Chen Xu; Yuelin Yu; Rusi Long; Ning-Ning Liu; Qiao Chu; Ying Wang; Gang Xu; Tian Shen; Suping Wang; Xiaobei Deng; Jinyan Huang; Xinxin Zhang; Hui Wang; Yong Cai
Journal:  Front Med       Date:  2020-03-31       Impact factor: 4.592

3.  Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.

Authors:  Huwen Wang; Zezhou Wang; Yinqiao Dong; Ruijie Chang; Chen Xu; Xiaoyue Yu; Shuxian Zhang; Lhakpa Tsamlag; Meili Shang; Jinyan Huang; Ying Wang; Gang Xu; Tian Shen; Xinxin Zhang; Yong Cai
Journal:  Cell Discov       Date:  2020-02-24       Impact factor: 10.849

4.  A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread.

Authors:  Raj Dandekar; Chris Rackauckas; George Barbastathis
Journal:  Patterns (N Y)       Date:  2020-11-17

5.  Simple epidemic models with segmentation can be better than complex ones.

Authors:  Geon Lee; Se-Eun Yoon; Kijung Shin
Journal:  PLoS One       Date:  2022-01-12       Impact factor: 3.240

Review 6.  Current epidemiological and clinical features of COVID-19; a global perspective from China.

Authors:  Huilan Tu; Sheng Tu; Shiqi Gao; Anwen Shao; Jifang Sheng
Journal:  J Infect       Date:  2020-04-18       Impact factor: 38.637

Review 7.  Artificial intelligence for COVID-19: battling the pandemic with computational intelligence.

Authors:  Zhenxing Xu; Chang Su; Yunyu Xiao; Fei Wang
Journal:  Intell Med       Date:  2021-10-21

8.  Estimation of reproduction numbers of COVID-19 in typical countries and epidemic trends under different prevention and control scenarios.

Authors:  Chen Xu; Yinqiao Dong; Xiaoyue Yu; Huwen Wang; Lhakpa Tsamlag; Shuxian Zhang; Ruijie Chang; Zezhou Wang; Yuelin Yu; Rusi Long; Ying Wang; Gang Xu; Tian Shen; Suping Wang; Xinxin Zhang; Hui Wang; Yong Cai
Journal:  Front Med       Date:  2020-05-28       Impact factor: 9.927
  8 in total

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