Integrating Epidemiological Modeling and Surveillance Data Feeds: A Kalman Filter Based Approach-Reference-Cited by-同舟云学术

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Integrating Epidemiological Modeling and Surveillance Data Feeds: A Kalman Filter Based Approach

Published:2014 Issue: Volume: Page:145-152
ISSN:0302-9743
Container-title:Social Computing, Behavioral-Cultural Modeling and Prediction
language:
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Author:

Qian Weicheng,Osgood Nathaniel D.,Stanley Kevin G.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-05579-4_18

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia;PLOS Global Public Health;2024-07-25

2. Impacts of observation frequency on proximity contact data and modeled transmission dynamics;PLOS Computational Biology;2023-02-27

3. A Categorical Framework for Modeling with Stock and Flow Diagrams;Mathematics of Public Health;2023

4. Modified EKF for Covid-19 prediction with 3 mobility restrictions (Study Case: Indonesia);7TH INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: Mathematics of Quantum Computing;2022

5. Dynamics of Transmission and Control of COVID-19: A Real-time Estimation Using the Kalman Filter;2020-04-22

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