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Albert J. de Neeling

Researcher at Center for Infectious Disease Research and Policy

Publications -  39
Citations -  2539

Albert J. de Neeling is an academic researcher from Center for Infectious Disease Research and Policy. The author has contributed to research in topics: Gramicidin S & Mycobacterium tuberculosis complex. The author has an hindex of 20, co-authored 38 publications receiving 2315 citations. Previous affiliations of Albert J. de Neeling include University of Santiago de Compostela.

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Emergence of methicillin-resistant Staphylococcus aureus of animal origin in humans.

TL;DR: MRSA from an animal reservoir has recently entered the human population and is now responsible for >20% of all MRSA in the Netherlands.
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Community-acquired MRSA and pig-farming.

TL;DR: A MRSA cluster among family members of a pig-farmer, his co-workers and his pigs shows clonal spread and transmission between humans and pigs in the Netherlands and puts the until now successful Search and Destroy policy of the Netherlands at risk.
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The carbapenem inactivation method (CIM), a simple and low-cost alternative for the Carba NP test to assess phenotypic carbapenemase activity in gram-negative rods.

TL;DR: The CIM was shown to be a cost-effective and highly robust phenotypic screening method that can reliably detect carbapenemase activity.
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Methicillin-Resistant and -Susceptible Staphylococcus aureus Sequence Type 398 in Pigs and Humans

TL;DR: Methicillin-resistant Staphylococcus aureus sequence type 398 (ST398 MRSA) was identified in Dutch pigs and pig farmers and likely causes infections in humans.
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Multiple-Locus Variable Number Tandem Repeat Analysis of Staphylococcus Aureus: Comparison with Pulsed-Field Gel Electrophoresis and spa-Typing

TL;DR: The MLVA described in this study is a high throughput, relatively low cost genotyping method for S. aureus that yields discrete and unambiguous data that can be used to assign biological meaningful genotypes and complexes andCan be used for interlaboratory comparisons in network accessible databases.