Visual tools to assess the plausibility of algorithm-identified infectious disease clusters: an application to mumps data from the Netherlands dating from January 2009 to June 2016

INTRODUCTION: With growing amounts of data available, identification of clusters of persons linked to each other by transmission of an infectious disease increasingly relies on automated algorithms. We propose cluster finding to be a two-step process: first, possible transmission clusters are identi...

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Detalles Bibliográficos
Autores principales: Soetens, Loes, Backer, Jantien A., Hahné, Susan, van Binnendijk, Rob, Gouma, Sigrid, Wallinga, Jacco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440581/
https://www.ncbi.nlm.nih.gov/pubmed/30914076
http://dx.doi.org/10.2807/1560-7917.ES.2019.24.12.1800331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440581/
https://www.ncbi.nlm.nih.gov/pubmed/30914076
http://dx.doi.org/10.2807/1560-7917.ES.2019.24.12.1800331

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