Researcher:
Benkli, Barlas

Profile Picture
ORCID

Job Title

Undergraduate Student

First Name

Barlas

Last Name

Benkli

Name

Name Variants

Benkli, Barlas

Email Address

Birth Date

Filters

2014 - 20152

Advanced Search

Filter by

Settings

Researcher Of Publications: search.filters.isAuthorOfPublication.2242c84b-d8d0-4edf-9ba9-3455cec8ed2d

Search Results

Now showing 1 - 2 of 2
  • Placeholder
    PublicationMetadata only
    Crimean-Congo hemorrhagic fever infections reported by ProMED
    (Elsevier Sci Ltd, 2014) N/A; İnce, Hüseyin Yavuz; Yasa, Çağla; Metin, Mustafa Mert; Sönmez, Melda; Meram, Ece; Benkli, Barlas; Ergönül, Önder; Undergraduate Student; Undergraduate Student; Undergraduate Student; Master Student; Undergraduate Student; Undergraduate Student; Faculty Member; School of Medicine; School of Medicine; School of Medicine; Graduate School of Health Sciences; School of Medicine; School of Medicine; School of Medicine; N/A; N/A; N/A; N/A; N/A; N/A; 110398
    Objective: There are limited sources describing the global burden of emerging diseases. We reviewed the Crimean-Congo hemorrhagic fever virus (CCHFV) infections reported by ProMED and assessed the reliability of the data retrieved compared to published reports. We evaluated the effectiveness of ProMED as a source of epidemiological data by focusing on CCHFV infections. Methods: Using the keywords "Crimean Congo hemorrhagic fever'' and "Crimean Congo'' in the ProMED search engine, we reviewed all the information about the news and harvested data using a structured form, including year, country, gender, occupation, the number of infected individuals, and the number of fatal cases. Results: We identified 383 entries reported between January 1998 and October 2013. A total 3426 infected cases were reported, with 451 fatal cases, giving an overall case fatality rate (CFR) of 13%. Out of 144 cases for which the gender was reported, 97 (67%) were male. Most of the cases were reported from Turkey, followed by Russia, Iran, Pakistan, and Afghanistan. Conclusions: Case reporting systems such as ProMED are useful to gather information and synthesize knowledge on the emerging infections. Although certain areas need to be improved, ProMED provided good information about Crimean-Congo hemorrhagic fever. (C) 2014 Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license.
  • Placeholder
    PublicationMetadata only
    Diagnosing Balamuthia mandrillaris encephalitis with metagenomic deep sequencing
    (Wiley, 2015) Wilson, Michael R.; Shanbhag, Niraj M.; Reid, Michael J.; Singhal, Neel S.; Gelfand, Jeffrey M.; Sample, Hannah A.; O'Donovan, Brian D.; Ali, Ibne K. M.; Keating, M. Kelly; Dunnebacke, Thelma H.; Wood, Matthew D.; Bollen, Andrew; DeRisi, Joseph L.; Benkli, Barlas; Undergraduate Student; School of Medicine; N/A
    Objective:Identification of a particular cause of meningoencephalitis can be challenging owing to the myriad bacteria, viruses, fungi, and parasites that can produce overlapping clinical phenotypes, frequently delaying diagnosis and therapy. Metagenomic deep sequencing (MDS) approaches to infectious disease diagnostics are known for their ability to identify unusual or novel viruses and thus are well suited for investigating possible etiologies of meningoencephalitis. Methods: We present the case of a 74-year-old woman with endophthalmitis followed by meningoencephalitis. MDS of her cerebrospinal fluid (CSF) was performed to identify an infectious agent. Results: Sequences aligning to Balamuthia mandrillaris ribosomal RNA genes were identified in the CSF by MDS. Polymerase chain reaction subsequently confirmed the presence of B. mandrillaris in CSF, brain tissue, and vitreous fluid from the patient's infected eye. B. mandrillaris serology and immuno histo chemistry for free-living amoebas on the brain biopsy tissue were positive. InterpretationThe diagnosis was made using MDS after the patient had been hospitalized for several weeks and subjected to costly and invasive testing. MDS is a powerful diagnostic tool with the potential for rapid and unbiased pathogen identification leading to early therapeutic targeting. Ann Neurol 2015;78:Ann Neurol 2015;78:679-696