Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models-Reference-Cited by-同舟云学术

Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models

Published:2022-06 Issue:6 Volume:26 Page:2458-2468
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ma Chunfeng¹^ORCID,Li Xin²^ORCID,Zhao Zebin¹^ORCID,Liu Feng¹^ORCID,Zhang Kun³,Wu Adan¹^ORCID,Nie Xiaowei⁴

Affiliation:

1. Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

2. National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China

3. Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China

4. State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, The Alliance of International Science Organizations, Beijing, China

Funder

Alliance of International Science Organizations

National Natural Science Foundation of China

CAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9788469/09762018.pdf?arnumber=9762018

Reference42 articles.

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