On the use of chance-adjusted agreement statistic to measure the assortative transmission of infectious diseases

DOI10.1007/S40314-013-0017-7zbMath1322.92069OpenAlexW2009328836WikidataQ56880184 ScholiaQ56880184MaRDI QIDQ361989

Hiroshi Nishiura, Keisuke Ejima, Kazuyuki Aihara

Publication date: 20 August 2013

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-013-0017-7

zbMATH Keywords

clusternetworkmathematical modelepidemiologyinter-observer variation

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

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Cites Work

• The time required to estimate the case fatality ratio of influenza using only the tip of an iceberg: joint estimation of the virulence and the transmission potential
• Mixing in age-structured population models of infectious diseases
• A contact-network-based formulation of a preferential mixing model
• Heterogeneity in disease-transmission modeling
• Modeling and analyzing HIV transmission: The effect of contact patterns
• Predicting epidemics on directed contact networks
• Measures of Disassortativeness and their Application to Directly Transmitted Infections
• Contact Surface Models for Infectious Diseases

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