Correction to: Using decision fusion methods to improve outbreak detection in disease surveillance

被引：0

作者：

Gaëtan Texier

Rodrigue S. Allodji

Loty Diop

Jean-Baptiste Meynard

Liliane Pellegrin

Hervé Chaudet

机构：

[1] French Armed Forces Center for Epidemiology and Public Health (CESPA),Cancer and Radiation Team

[2] SSA,International Food Policy Research Institute (IFPRI)

[3] Camp de Sainte Marthe,undefined

[4] UMR VITROME,undefined

[5] IRD,undefined

[6] AP-HM,undefined

[7] SSA,undefined

[8] IHU-Méditerranée Infection,undefined

[9] Aix Marseille University,undefined

[10] CESP,undefined

[11] Univ. Paris-Sud,undefined

[12] UVSQ,undefined

[13] INSERM,undefined

[14] Université Paris-Saclay,undefined

[15] Gustave Roussy Cancer Center,undefined

[16] Regional Office for West and Central Africa Regional Office,undefined

[17] UMR 912 - SESSTIM - INSERM/IRD/Aix-Marseille Université,undefined

来源：

BMC Medical Informatics and Decision Making | / 19卷

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摘要：

Following publication of the original article [1], the authors reported that one of the authors’ names is spelled incorrectly.

引用

共 50 条

[1] Using decision fusion methods to improve outbreak detection in disease surveillance
Gaëtan Texier
Rodrigue S. Allodji
Loty Diop
Jean-Baptiste Meynard
Liliane Pellegrin
Hervé Chaudet
BMC Medical Informatics and Decision Making, 19
[2] Using decision fusion methods to improve outbreak detection in disease surveillance
Texier, Gaetan
Alldoji, Rodrigue S.
Diop, Loty
Meynard, Jean-Baptiste
Pellegrin, Liliane
Chaudet, Herve
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
[3] Using decision fusion methods to improve outbreak detection in disease surveillance (vol 19, 38, 2019)
Texier, Gaetan
Allodji, Rodrigue S.
Diop, Loty
Meynard, Jean-Baptiste
Pellegrin, Liliane
Chaudet, Herve
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
[4] Overview of molecular typing methods for outbreak detection and epidemiological surveillance
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[5] EWORS: using a syndromic-based surveillance tool for disease outbreak detection in Indonesia
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TRENDS IN MICROBIOLOGY, 2016, 24 (04) : 241 - 241
[7] Validity of Evaluation Approaches for Outbreak Detection Methods in Syndromic Surveillance Systems
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[8] Optimization of Event Detection Methods for Disease Surveillance
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EPIDEMIOLOGIE ET SANTE ANIMALE, NO 59-60, 2011, 59-60 : 196 - 198
[9] Disease outbreak detection and tracking for biosurveillance: A data fusion approach
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[10] DOT: a crowdsourcing Mobile application for disease outbreak detection and surveillance in Mauritius
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