Vaccination to Reduce Antimicrobial Resistance Burden—Data Gaps and Future Research

Author:

Tadesse Birkneh Tilahun123ORCID,Keddy Karen H4,Rickett Natasha Y1,Zhusupbekova Aidai1,Poudyal Nimesh1,Lawley Trevor5,Osman Majdi6,Dougan Gordon6,Kim Jerome H17,Lee Jung-Seok1,Jeon Hyon Jin168,Marks Florian1689

Affiliation:

1. International Vaccine Institute , Seoul , Republic of Korea

2. Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm , Sweden

3. Center for Innovative Drug Development and Therapeutic Trials for Africa, College of Health Sciences, Addis Ababa University , Addis Ababa , Ethiopia

4. Independent Consultant , Johannesburg , South Africa

5. Wellcome Sanger Institute and Microbiotica , Cambridge , United Kingdom

6. Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine , Cambridge , United Kingdom

7. Seoul National University , College of Natural Sciences, Seoul , Republic of Korea

8. Madagascar Institute for Vaccine Research, University of Antananarivo , Antananarivo , Madagascar

9. Heidelberg Institute of Global Health, University of Heidelberg , Heidelberg , Germany

Abstract

Abstract Antimicrobial resistance (AMR) poses an immediate danger to global health. If unaddressed, the current upsurge in AMR threatens to reverse the achievements in reducing the infectious disease–associated mortality and morbidity associated with antimicrobial treatment. Consequently, there is an urgent need for strategies to prevent or slow the progress of AMR. Vaccines potentially contribute both directly and indirectly to combating AMR. Modeling studies have indicated significant gains from vaccination in reducing AMR burdens for specific pathogens, reducing mortality/morbidity, and economic loss. However, quantifying the real impact of vaccines in these reductions is challenging because many of the study designs used to evaluate the contribution of vaccination programs are affected by significant background confounding, and potential selection and information bias. Here, we discuss challenges in assessing vaccine impact to reduce AMR burdens and suggest potential approaches for vaccine impact evaluation nested in vaccine trials.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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