ArticleFrontiers in public health2022
Strengthening the Surveillance of Antimicrobial Resistance in India Using Integrative Technologies.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Comprehensive review of One Health systems for emerging infectious disease detection and management.One health (Amsterdam, Netherlands) · 2025Review
- Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.EcoHealth · 2025Review
- Mapping the AMR Infection Landscape in Bihar: Implications for Strengthening Policy and Clinical Practice.Antibiotics (Basel, Switzerland) · 2025Article
- Epidemiologic analysis of antimicrobial resistance in hospital departments in China from 2022 to 2023.Journal of health, population, and nutrition · 2024Article
- Integrative Digital Tools to Strengthen Data Management for Antimicrobial Resistance Surveillance in the "One Health" Domain in Nepal.Tropical medicine and infectious disease · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: The antimicrobial resistance (AMR) situation in India is alarming. In the absence of newer antibiotics, the best possible approach is to efficiently use the existing antimicrobials through surveillance of resistance. The data generated by AMR surveillance across the country has immense potential to drive policy decisions. However, this data is available in a variety of sources. It is imperative to have tools to integrate the data generated across the country into a single data repository. Methods: An ensemble of tools ( Results: The Discussion: The tools are being used in ICMR's AMR Network and have collected over 0.4 million patient records to date. The complete system is presently being used to capture human susceptibility testing data and can be extended for capturing data using the 'One Health' approach. The authors plan to make the system compliant with FHIR standards to enable interoperability with other countries.
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Registered trials
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