How Antimicrobial Resistance Is Linked to Climate Change: An Overview of Two Intertwined Global Challenges

Int J Environ Res Public Health. 2023 Jan 17;20(3):1681. doi: 10.3390/ijerph20031681.

Abstract

Globally, antimicrobial resistance (AMR) and climate change (CC) are two of the top health emergencies, and can be considered as two interlinked public health priorities. The complex commonalities between AMR and CC should be deeply investigated in a One Health perspective. Here, we provided an overview of the current knowledge about the relationship between AMR and CC. Overall, the studies included pointed out the need for applying a systemic approach to planetary health. Firstly, CC increasingly brings humans and animals into contact, leading to outbreaks of zoonotic and vector-borne diseases with pandemic potential. Although it is well-established that antimicrobial use in human, animal and environmental sectors is one of the main drivers of AMR, the COVID-19 pandemic is exacerbating the current scenario, by influencing the use of antibiotics, personal protective equipment, and biocides. This also results in higher concentrations of contaminants (e.g., microplastics) in natural water bodies, which cannot be completely removed from wastewater treatment plants, and which could sustain the AMR spread. Our overview underlined the lack of studies on the direct relationship between AMR and CC, and encouraged further research to investigate the multiple aspects involved, and its effect on human health.

Keywords: One Health approach; antibiotics; antimicrobial resistance; climate change; environment; public health.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Anti-Bacterial Agents / pharmacology
  • Anti-Bacterial Agents / therapeutic use
  • Anti-Infective Agents*
  • COVID-19* / epidemiology
  • Climate Change
  • Drug Resistance, Bacterial
  • Humans
  • Pandemics
  • Plastics

Substances

  • Anti-Bacterial Agents
  • Plastics
  • Anti-Infective Agents

Grants and funding

This work has been partially funded by European Union (NextGeneration EU), through the MUR-PNRR project PE 00000007 INF-ACT (CUP: E63C22002090006).