Evidence map›Paper›PMID 40295742›Full record

ArticleNature medicine2025

Changing climate and socioeconomic factors contribute to global antimicrobial resistance.

Weibin Li, Tingting Huang, Chaojie Liu, Haishaerjiang Wushouer, Xinyi Yang, Ruonan Wang, Haohai Xia, Xiying Li, Shengyue Qiu, Shanquan Chen and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Climate change and antimicrobial resistance.Nature reviews. Microbiology · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Weibin Li *School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-9725-7157
Tingting Huang *Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Chaojie LiuSchool of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-0877-0424
Haishaerjiang WushouerDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Xinyi YangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Ruonan WangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Haohai XiaSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiying LiSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Shengyue QiuSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Shanquan ChenFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Hung Chak HoDepartment of Public and International Affairs, City University of Hong Kong, Hong Kong SAR, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-9139-8354
Luwen ShiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Xiaodong GuanDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1290-3827
Guobao TianSchool of Medicine, Sun Yat-sen University, Shenzhen, China.ORCID http://orcid.org/0000-0001-6750-5482
Gordon LiuNational School of Development, Peking University, Beijing, China.
Kristie L EbiCenter for Health and the Global Environment, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4746-8236
Lianping YangSchool of Public Health, Sun Yat-sen University, Guangzhou, China. yanglp7@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-6201-4318

Funding

China Medical Board (CMB) CMB-OC-19-337National Natural Science Foundation of China (National Science Foundation of China) 72074234National Natural Science Foundation of China (National Science Foundation of China) 72374228
6 · The paper itself

Abstract

Climate change poses substantial challenges in containing antimicrobial resistance (AMR) from a One Health perspective. Using 4,502 AMR surveillance records involving 32 million tested isolates from 101 countries (1999-2022), we analyzed the impact of socioeconomic and environmental factors on AMR. We also established forecast models based on several scenarios, considering antimicrobial consumption reduction, sustainable development initiatives and different shared socioeconomic pathways under climate change. Our findings reveal growing AMR disparities between high-income countries and low- and middle-income countries under different shared socioeconomic pathway scenarios. By 2050, compared with the baseline, sustainable development efforts showed the most prominent effect by reducing AMR prevalence by 5.1% (95% confidence interval (CI): 0.0-26.6%), surpassing the effect of antimicrobial consumption reduction. Key contributors include reducing out-of-pocket health expenses (3.6% (95% CI: -0.5 to 21.4%)); comprehensive immunization coverage (1.2% (95% CI: -0.1% to 8.2%)); adequate health investments (0.2% (95% CI: 0.0-2.4%)) and universal access to water, sanitation and hygiene services (0.1% (95% CI: 0.0-0.4%)). These findings highlight the importance of sustainable development strategies as the most effective approach to help low- and middle-income countries address the dual challenges of climate change and AMR.

Indexed as

Climate ChangeDrug Resistance, BacterialAnti-Bacterial AgentsGlobal HealthHumansSocioeconomic FactorsAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

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Registered trials

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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.