ReviewInternational journal of emergency medicine2025
Climate change and the global food chain: a catalyst for emerging infectious diseases?
Review in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Engineering Plant-Associated Soil Microbiomes for Sustainable and Climate-Resilient Agriculture: Mechanisms, Technologies, and Applications.Microorganisms · 2026Review
- Climate-driven disruptions in local food systems and the transmission pathways of food-borne neglected tropical diseases in Sub-Saharan Africa: a scoping review.BMC public health · 2026Article
- Nutrition as a missing link in One Health: from conceptual invisibility to strategic action.Frontiers in nutrition · 2026Article
- Antimicrobial Resistance in the Era of Climate Change: Why We Should All Embrace and Integrate the One Health Approach in Clinical Practice?Antibiotics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClimate change is disrupting the global food chain, affecting food production, delivery and safety. Extreme weather events disrupt the quality of food and water, while rising temperatures accelerate the spread of microbes. Habitat destruction also forces wildlife in close proximity to people, increasing the risk of zoonotic diseases. Threatening global health seriously, these disturbances also increase the probability of infectious and food-borne diseases.
methodA narrative review of literature data from WHO publications, Google Scholar and PubMed. The review examines the impacts of climate change on agriculture, food supply systems, and the associated transmission of infectious disease - specifically zoonotic and food-borne diseases.
resultsAs temperatures increase, the germs multiply easily - and the risk of E. coli and Salmonella goes up. Waterborne diseases such as Norovirus and Hepatitis A are more likely to spread in typified extreme weather conditions such as floods. Ecosystem changes push humans and animals into a closer relationship that can lead to zoonotic spillovers, such as the Nipah virus and COVID-19. The growth of animal production and international trade exacerbates antimicrobial resistance (AMR) issues, imposing challenges to disease control.
conclusionClimate change is a critical public health emergency with risks of zoonotic and food-borne illnesses alarmingly on the rise. This is an important step toward a One Health approach, which also addresses the integration of human, animal, and environmental health, as well as strengthens food safety regulations and enhances disease surveillance. It needs immediate international cooperation to construct a robust and sustainable food system that reduces health hazards. CLINICAL TRIAL NUMBER: Not applicable.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.