Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-19

Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-19

Abstract Background In infectious disease transmission dynamics, the high heterogeneity in individual infectiousness indicates that few index cases generate large numbers of secondary cases, which is commonly known as superspreading events. The heterogeneity in transmission can be measured by descri...

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Bibliographic Details
Main Authors: Shi Zhao, Mingwang Shen, Salihu S. Musa, Zihao Guo, Jinjun Ran, Zhihang Peng, Yu Zhao, Marc K. C. Chong, Daihai He, Maggie H. Wang
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Research Methodology
Subjects:
COVID-19
Transmission
Superspreading
Heterogeneity in infectiousness
Contact tracing
Statistical inference
Online Access:https://doi.org/10.1186/s12874-021-01225-w

Internet

https://doi.org/10.1186/s12874-021-01225-w

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