Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis-Reference-Cited by-同舟云学术

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Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis

Published:2020-10-02 Issue:10 Volume:15 Page:e0240153
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Eshragh Ali^ORCID,Alizamir Saed,Howley Peter,Stojanovski Elizabeth

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference24 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;H Huang;Lancet,2020

2. The outbreak of COVID-19: An overview;Y Wu;Journal of the Chinese Medical Association,2020

3. A mathematical model for simulating the phase-based transmissibility of a novel coronavirus;TM Chen;Infectious Diseases of Poverty,2020

4. Interventions to mitigate early spread of SARS-CoV-2 in Singapore: A modelling study;KR Koo;Infectious Diseases of Poverty,2020

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1. Modeling Methods;Data Analytics;2023-12-18

2. Smart energy management system framework for population dynamics modelling and suitable energy trajectories identification in islanded micro-grids;Energy and AI;2023-07

3. Testing, Voluntary Social Distancing, and the Spread of an Infection;Operations Research;2023-06-19

4. Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

5. Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model;Heliyon;2023-03

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