Keratitis antimicrobial resistance surveillance program, Sydney, Australia: 2016 Annual Report

2018 ◽  
Vol 47 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Stephanie Watson ◽  
Maria Cabrera-Aguas ◽  
Pauline Khoo ◽  
Ryanbi Pratama ◽  
Barrie J Gatus ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Annual Report ◽  
Surveillance Program ◽  
Antimicrobial Resistance Surveillance ◽  
Sydney Australia

scholarly journals Integrating whole-genome sequencing within the National Antimicrobial Resistance Surveillance Program in the Philippines

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Silvia Argimón ◽  
Melissa A. L. Masim ◽  
June M. Gayeta ◽  
Marietta L. Lagrada ◽  
Polle K. V. Macaranas ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
The Philippines ◽  
Surveillance Program ◽  
Whole Genome ◽  
Antimicrobial Resistance Surveillance

scholarly journals The Experience of Implementing a National Antimicrobial Resistance Surveillance System in Brazil

2021 ◽  
Vol 8 ◽  
Author(s):  
Marcelo Pillonetto ◽  
Regiane Tigulini de Souza Jordão ◽  
Gabriel Savogin Andraus ◽  
Ricardo Bergamo ◽  
Fabiano Barreto Rocha ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Antimicrobial Resistance ◽  
Antimicrobial Susceptibility ◽  
Surveillance System ◽  
The Other ◽  
World Health ◽  
Surveillance Program ◽  
Blood Samples ◽  
Antimicrobial Resistance Surveillance ◽  
The Impact

Antimicrobial resistance (AMR) is a major public health threat of global proportions, which has the potential to lead to approximately ten million deaths per year by 2050. Pressured by this wicked problem, in 2014, the World Health Organization launched a call for member states to share AMR data through the implementation of the Global Antimicrobial Resistance Surveillance System (GLASS), to appropriately scale and monitor the general situation world-widely. In 2017, Brazil joined GLASS and, in 2018, started its own national antimicrobial surveillance program (BR-GLASS) to understand the impact of resistance in the country. We compiled data obtained from the complete routine of three hospitals' microbiology labs during the year of 2018. This pilot data sums up to 200,874 antimicrobial susceptibility test results from 11,347 isolates. It represents 119 different microorganisms recovered from 44 distinct types of clinical samples. Specimens came from patients originating from 301 Brazilian cities, with 4,950 of these isolates from presumed Healthcare-Associated Infections (HAIs) and the other 6,397 community-acquired cases. The female population offered 58% of the collected samples, while the other 42% were of male origin. The urinary tract was the most common topography (6,372/11,347 isolates), followed by blood samples (2,072/11,347). Gram-negative predominated the bacterial isolates: Escherichia coli was the most prevalent in general, representing 4,030 isolates (89.0% of these from the urinary tract). Coagulase-negative Staphylococci were the most prevalent bacteria in blood samples. Besides these two species, the ESKAPE group have consolidated their prevalence. Regarding drug susceptibility results, 141,648 (70.5%) were susceptible, 9,950 (4.9%) intermediate, and 49,276 (24.5%) resistant. Acinetobacter baumannii was the most worrisome microorganism, with 65.3% of the overall antimicrobial susceptibility tests showing resistance, followed by ESBL-producing Klebsiella pneumoniae, with a global resistance rate of 59%. Although this is a pilot project (still limited to one state), this database shows the importance of a nation-wide surveillance program,[153mm][-12mm] Q14 especially considering it already had patients coming from 301 distinct counties and 18 different states. The BR-GLASS Program is an ongoing project that intends to encompass at least 95 hospitals distributed in all five geographical regions in Brazil within the next 5 years.

scholarly journals Integration of Molecular Characterization of Microorganisms in a Global Antimicrobial Resistance Surveillance Program

2001 ◽  
Vol 32 (s2) ◽  
pp. S156-S167 ◽  
Author(s):  
M. A. Pfaller ◽  
J. Acar ◽  
R. N. Jones ◽  
J. Verhoef ◽  
J. Turnidge ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Molecular Characterization ◽  
Surveillance Program ◽  
Antimicrobial Resistance Surveillance

scholarly journals Annual report from the European Antimicrobial Resistance Surveillance System

2002 ◽  
Vol 6 (41) ◽  
Author(s):  
Paul Schrijnemakers
Keyword(s):  
Public Health ◽  
Antimicrobial Resistance ◽  
Infection Control ◽  
Surveillance System ◽  
Annual Report ◽  
European Countries ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Antimicrobial Resistance Surveillance ◽  
Hospital Infection Control

The European Antimicrobial Resistance Surveillance System (EARSS) annual report 2001 has recently been published and widely distributed among all EARSS participants, public health institutes, ministries of health and other collaborating projects and organisations in Europe and beyond (1). From EARSS data it can be concluded that proportions of antimicrobial resistance vary markedly between European countries (figures 1 and 2). This is most likely to be as a result of differences in hospital infection control activities and the antibiotic prescribing practices. However, many other variables exist, some of which can interact with those mentioned above.

scholarly journals Quality Assessment of an Antimicrobial Resistance Surveillance System in a Province of Nepal

2021 ◽  
Vol 6 (2) ◽  
pp. 60
Author(s):  
Jyoti Acharya ◽  
Maria Zolfo ◽  
Wendemagegn Enbiale ◽  
Khine Wut Yee Kyaw ◽  
Meika Bhattachan ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Surveillance System ◽  
Surveillance Data ◽  
World Health ◽  
Cross Sectional ◽  
Antimicrobial Resistance Surveillance ◽  
Data Collection Process ◽  
Data Compilation ◽  
Site Variation ◽  
Health Organization

Antimicrobial resistance (AMR) is a global problem, and Nepal is no exception. Countries are expected to report annually to the World Health Organization on their AMR surveillance progress through a Global Antimicrobial Resistance Surveillance System, in which Nepal enrolled in 2017. We assessed the quality of AMR surveillance data during 2019–2020 at nine surveillance sites in Province 3 of Nepal for completeness, consistency, and timeliness and examined barriers for non-reporting sites. Here, we present the results of this cross-sectional descriptive study of secondary AMR data from five reporting sites and barriers identified through a structured questionnaire completed by representatives at the five reporting and four non-reporting sites. Among the 1584 records from the reporting sites assessed for consistency and completeness, 77–92% were consistent and 88–100% were complete, with inter-site variation. Data from two sites were received by the 15th day of the following month, whereas receipt was delayed by a mean of 175 days at three other sites. All four non-reporting sites lacked dedicated data personnel, and two lacked computers. The AMR surveillance data collection process needs improvement in completeness, consistency, and timeliness. Non-reporting sites need support to meet the specific requirements for data compilation and sharing.

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