Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Leveraging disease outbreak news to strengthen the global response to antimicrobial resistance

A call for action

Bibliographic Data

ID22069768
AuthorsReuben Kiggundu (0000-0001-6141-9436, Infectious Diseases Institute), J P Waswa (Infectious Diseases Institute, corresponding author), Herman Mwanja (0009-0003-8085-1015, Infectious Diseases Institute), Mackline Hope (Infectious Diseases Institute), Andrew Kambugu (0000-0002-3075-0211, Infectious Diseases Institute), Francis Kakooza (0000-0003-4047-6620, Infectious Diseases Institute), Dathan M Byonanebye (0000-0001-9862-4724, Infectious Diseases Institute)
Year2026
Volume13
Pages1710596-1710596
Publication date2026-01-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1710596
PMID41573792
OpenAlexW7118427130
LanguageEN
References cited54

Antimicrobial resistance (AMR) is an escalating global health threat, with low- and middle-income countries (LMICs) bearing the greatest burden as healthcare facilities become breeding grounds for resistant pathogens, leading to increased morbidity, mortality, and straining of already limited resources. The World Health Organization’s Disease Outbreak News (DONs) has proven invaluable for early warnings and coordinated responses to infectious disease outbreaks like Ebola and COVID-19, yet AMR events remain largely absent from this system, leading to under-detection, limited global visibility, and ineffective interventions. In this paper, we review the historical evolution of DONs, its supporting frameworks, and the dynamics of AMR outbreaks in LMIC healthcare settings to explore how DONs could be adapted for AMR. We recommend standardizing AMR outbreaks reporting, integrating DONs into response efforts, linking AMR surveillance to DONs workflows, and expanding the definition of Public Health Emergencies of International Concern (PHEIC) to include high-morbidity AMR events, steps that would elevate AMR from a “silent pandemic” to a visible priority

Call to action · Disease · Global health · Health care · Outbreak · Public health · Antibiotic Use and Resistance · Data-Driven Disease Surveillance · Zoonotic diseases and public health

  • Global burden of bacterial antimicrobial resistance 1990–2021

    Open Access•Mohsen Naghavi, Stein Emil Vollset et al.•The Lancet•2024

  • Global burden of bacterial antimicrobial resistance in 2019

    Open Access•Christopher J L Murray, Kevin S Ikuta et al.•The Lancet•2022

  • Access to effective antimicrobials

    Open Access•Ramanan Laxminarayan, Precious Matsoso et al.•The Lancet•2016

  • Prediction and prevention of the next pandemic zoonosis

    Open Access•Stephen S Morse, Jonna A K Mazet et al.•The Lancet•2012

  • Enhancing infection prevention and control through hand hygiene compliance in six Ugandan hospitals using quality improvement approaches

    Open Access•Hassan Kasujja, J P Waswa et al.•Frontiers in Public Health•2024

  • Emerging infectious disease outbreaks in Sub-Saharan Africa

    Open Access•Enos Moyo, Malizgani Mhango et al.•Frontiers in Public Health•2023

  • Impact of wars and natural disasters on emerging and re-emerging infectious diseases

    Open Access•Seher Topluoglu, Aysegul Taylan-Ozkan et al.•Frontiers in Public Health•2023

  • Informing the pandemic response

    Open Access•Juniorcaius Ikejezie, Alessandro Miglietta et al.•BMJ Global Health•2024

  • The World Health Organization’s Disease Outbreak News

    Open Access•Colin J Carlson, Matthew R Boyce et al.•PLOS Global Public Health•2023

  • The Global Outbreak Alert and Response Network

    Open Access•J S Mackenzie, Patrick Drury et al.•Global Public Health•2014

  • Beyond early warning

    Open Access•Carl Jason McKnight, Ahmed Taha Aboushady et al.•BMC Public Health•2024

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae