Improving the rates of Aspergillus detection: an update on current diagnostic strategies

Jeffrey D. Jenks; Helmut Salzer; Martin Hoenigl

doi:10.1080/14787210.2018.1558054

Improving the rates of Aspergillus detection: an update on current diagnostic strategies

Jeffrey D. Jenks
, Helmut Salzer^*
, Martin Hoenigl

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	39-50
Number of pages	12
Journal	Expert Review of Anti-Infective Therapy
Volume	17
Issue number	1
DOIs	https://doi.org/10.1080/14787210.2018.1558054
Publication status	Published - 02 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Fields of science

301 Medical-Theoretical Sciences, Pharmacy
302 Clinical Medicine
303041 Infectious diseases
302068 Pulmology
302014 Endocrinology
302013 Medical diagnostics
302030 Internal medicine
302054 Nuclear medicine

Access to Document

10.1080/14787210.2018.1558054

Cite this

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title = "Improving the rates of Aspergillus detection: an update on current diagnostic strategies",

author = "Jenks, \{Jeffrey D.\} and Helmut Salzer and Martin Hoenigl",

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T1 - Improving the rates of Aspergillus detection: an update on current diagnostic strategies

AU - Jenks, Jeffrey D.

AU - Salzer, Helmut

AU - Hoenigl, Martin

PY - 2019/1/2

Y1 - 2019/1/2

UR - https://www.ncbi.nlm.nih.gov/pubmed/30556438

UR - https://www.scopus.com/pages/publications/85059083992

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DO - 10.1080/14787210.2018.1558054

M3 - Article

SN - 1744-8336

VL - 17

SP - 39

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JO - Expert Review of Anti-Infective Therapy

JF - Expert Review of Anti-Infective Therapy

IS - 1

ER -

Improving the rates of Aspergillus detection: an update on current diagnostic strategies

UN SDGs

Fields of science

Access to Document

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Cite this