LSTM Home > LSTM Research > LSTM Online Archive

Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings.

Downloads

Downloads per month over past year

Ashley, Elizabeth A, Shetty, Nandini, Patel, Jean, van Doorn, Rogier, Limmathurotsakul, Direk, Feasey, Nicholas ORCID: https://orcid.org/0000-0003-4041-1405, Okeke, Iruka N and Peacock, Sharon J (2018) 'Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings.'. The Journal of Antimicrobial Chemotherapy, Issue dky487.

[img]
Preview
Text
dky487.pdf - Published Version
Available under License Creative Commons Attribution.

Download (373kB) | Preview

Abstract

One of the most pressing challenges facing the global surveillance of antimicrobial resistance (AMR) is the generation, sharing, systematic analysis and dissemination of data in low-resource settings. Numerous agencies and initiatives are working to support the development of globally distributed microbiology capacity, but the routine generation of a sustainable flow of reliable data will take time to establish before it can deliver a clinical and public health impact. By contrast, there are a large number of pharma- and academia-led initiatives that have generated a wealth of data on AMR and drug-resistant infections in low-resource settings, together with high-volume data generation by private laboratories. Here, we explore how untapped sources of data could provide a short-term solution that bridges the gap between now and the time when routine surveillance capacity will have been established and how this could continue to support surveillance efforts in the future. We discuss the benefits and limitations of data generated by these sources, the mechanisms and barriers to making this accessible and how academia and pharma might support the development of laboratory and analytical capacity. We provide key actions that will be required to harness these data, including: a mapping exercise; creating mechanisms for data sharing; use of data to support national action plans; facilitating access to and use of data by the WHO Global Antimicrobial Resistance Surveillance System; and innovation in data capture, analysis and sharing.

Item Type: Article
Subjects: QW Microbiology and Immunology > QW 45 Microbial drug resistance. General or not elsewhere classified.
WA Public Health > WA 30 Socioeconomic factors in public health (General)
WA Public Health > Health Problems of Special Population Groups > WA 395 Health in developing countries
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Clinical Sciences & International Health > International Public Health Department
Digital Object Identifer (DOI): https://doi.org/10.1093/jac/dky487
Depositing User: Stacy Murtagh
Date Deposited: 19 Dec 2018 09:53
Last Modified: 19 Dec 2018 09:53
URI: http://archive.lstmed.ac.uk/id/eprint/9852

Statistics

View details

Actions (login required)

Edit Item Edit Item