Multivariate Symbolic Transfer Entropy Analysis of Different Age Groups

Existing methods to infer the relative roles of age groups in epidemic transmission can normally only accommodate a few age classes, and/or require data that are highly specific for the disease being studied. Here, symbolic transfer entropy (STE), a measure developed to identify asymmetric transfer of information between stochastic processes, is presented as a way to reveal asymmetric transmission patterns between age groups in an epidemic. STE provides a ranking of which age groups may dominate transmission, rather than a reconstruction of the explicit between-age-group transmission matrix. Using simulations, we establish that STE can identify which age groups dominate transmission even when there are differences in reporting rates between age groups and even if the data are noisy. Then, the pairwise STE is calculated between time series of influenza-like illness for 12 age groups in 884 US cities during the autumn of 2009. Elevated STE from 5 to 19 year-olds indicates that school-aged children were likely the most important transmitters of infection during the autumn wave of the 2009 pandemic in the USA. The results may be partially confounded by higher rates of physician-seeking behaviour in children compared to adults, but it is unlikely that differences in reporting rates can explain the observed differences in STE.

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Multi-scale symbolic transfer entropy analysis of EEG

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2017.04.181 ◽

2017 ◽

Vol 484 ◽

pp. 276-281 ◽

Cited By ~ 9

Author(s):

Wenpo Yao ◽

Jun Wang

Keyword(s):

Transfer Entropy ◽

Entropy Analysis ◽

Multi Scale ◽

Symbolic Transfer Entropy

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Energy consumption, economic growth, foreign direct investment and globalization causality nexus in OECD countries: a symbolic transfer entropy analysis

Economics and Business Letters ◽

10.17811/ebl.10.4.2021.408-415 ◽

2021 ◽

Vol 10 (4) ◽

pp. 408-415

Author(s):

Ahdi Noomen AJMI ◽

Seyi Saint Akadiri

Keyword(s):

Economic Growth ◽

Foreign Direct Investment ◽

Energy Consumption ◽

Direct Investment ◽

Oecd Countries ◽

Transfer Entropy ◽

Entropy Analysis ◽

Causality Test ◽

Symbolic Transfer Entropy

In this paper, we investigate the validity and usefulness of the symbolic transfer entropy (STE) test for longitudinal data by examining causality relationships among foreign direct investment, energy consumption, globalization and economic growth respectively, between the periods 1970-2015 using Organization for Economic Co-operation and Development (OECD) countries as a case study. Also, a comparison to validate or contrast with other existing studies results generated using other forms of causality test is given. Our findings suggest that the STE causality test is suitable approach for our OECD panel of countries.

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Symbolic transfer entropy reveals the age structure of pandemic influenza transmission from high-volume influenza-like illness data

10.1101/19005710 ◽

2019 ◽

Author(s):

Stephen M Kissler ◽

Cécile Viboud ◽

Bryan T Grenfell ◽

Julia R Gog

Keyword(s):

Age Groups ◽

High Volume ◽

Transfer Entropy ◽

Influenza Like Illness ◽

School Aged Children ◽

The Us ◽

Symbolic Transfer Entropy ◽

Transfer Of Information ◽

Reporting Rates ◽

Us Cities

AbstractExisting methods to infer the relative roles of age groups in epidemic transmission can normally only accommodate a few age classes, and/or require data that are highly specific for the disease being studied. Here, symbolic transfer entropy (STE), a measure developed to identify asymmetric transfer of information between stochastic processes, is presented as a way to determine which age groups drive an epidemic. STE provides a ranking of which age groups dominate transmission, rather than a reconstruction of the explicit between-age-group transmission matrix. Using simulations, we establish that STE can identify which age groups dominate transmission, even when there are differences in reporting rates between age groups and even if the data is noisy. Then, the pairwise STE is calculated between time series of influenza-like illness for 12 age groups in 884 US cities during the autumn of 2009. Elevated STE from 5-19 year-olds indicates that school-aged children were the most important transmitters of infection during the autumn wave of the 2009 pandemic in the US. The results may be partially confounded by higher rates of physician-seeking behaviour in children compared to adults, but it is unlikely that differences in reporting rates can explain the observed differences in STE.

Download Full-text