Tackling AMR: A Call for a(n Even) More Integrated and Transdisciplinary Approach between Planetary Health and Earth Scientists

Challenges Pub Date : 2022-12-15 DOI:10.3390/challe13020066
J. Cole, A. Eskdale, J. Paul
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Abstract

Antibiotic resistance is a pressing global, one health and planetary health challenge. Links between climate change, antibiotic use, and the emergence of antibiotic resistance have been well documented, but less attention has been given to the impact(s) of earth systems on specific bacterial livestock diseases at a more granular level. Understanding the precise impacts of climate change on livestock health—and in turn the use of antibiotics to address that ill-health—is important in providing an evidence base from which to tackle such impacts and to develop practical, implementable, and locally acceptable solutions within and beyond current antibiotic stewardship programs. In this paper, we set out the case for better integration of earth scientists and their specific disciplinary skill set (specifically, problem-solving with incomplete/fragmentary data; the ability to work across four dimensions and at the interface between the present and deep/geological time) into planetary health research. Then, using a case study from our own research, we discuss a methodology that makes use of risk mapping, a common methodology in earth science but less frequently used in health science, to map disease risk against changing climatic conditions at a granular level. The aim of this exercise is to argue that, by enabling livestock farmers, veterinarians, and animal health observatories to better predict future disease risk and risk impacts based on predicted future climate conditions, earth science can help to provide an evidence base from which to influence policy and develop mitigations. Our example—of climate conditions’ impact on livestock health in Karnataka, India—clearly evidences the benefit of integrating earth scientists into planetary health research.
应对抗菌素耐药性:呼吁行星健康和地球科学家之间采取(甚至)更加综合和跨学科的方法
抗生素耐药性是一项紧迫的全球性、单一健康和全球健康挑战。气候变化、抗生素使用和抗生素耐药性之间的联系已经得到了充分的记录,但对土壤系统对特定细菌性牲畜疾病的影响在更细粒度的层面上的关注较少。了解气候变化对牲畜健康的确切影响,进而使用抗生素来解决这种健康不良问题,对于提供一个证据基础,以解决这种影响,并在当前抗生素管理计划内外制定实际、可实施和当地可接受的解决方案,具有重要意义。在本文中,我们提出了更好地整合地球科学家及其特定学科技能的案例(具体而言,解决不完整/碎片数据的问题;能够跨越四个维度,并在当前和深层(地质时间)之间的界面上进行行星健康研究。然后,通过我们自己研究中的一个案例研究,我们讨论了一种利用风险制图的方法,这是地球科学中的一种常用方法,但在健康科学中使用的频率较低,可以在颗粒水平上根据不断变化的气候条件绘制疾病风险图。这项工作的目的是论证,通过使畜牧农民、兽医和动物卫生观察站能够根据预测的未来气候条件更好地预测未来的疾病风险和风险影响,地球科学可以帮助提供影响政策和制定缓解措施的证据基础。我们的例子——印度卡纳塔克邦气候条件对牲畜健康的影响——清楚地证明了将地球科学家纳入地球健康研究的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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