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通过绘制南亚综合气候驱动型早期预警预报系统需求和潜力图为气候健康适应选项提供信息——范围综述。

Informing climate-health adaptation options through mapping the needs and potential for integrated climate-driven early warning forecasting systems in South Asia-A scoping review.

机构信息

UK Centre for Ecology & Hydrology, Wallingford, United Kingdom.

出版信息

PLoS One. 2024 Oct 24;19(10):e0309757. doi: 10.1371/journal.pone.0309757. eCollection 2024.

DOI:10.1371/journal.pone.0309757
PMID:39446805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11500899/
Abstract

BACKGROUND

Climate change is widely recognised to threaten human health, wellbeing and livelihoods, including through its effects on the emergence, spread and burdens of climate-and water-sensitive infectious diseases. However, the scale and mechanisms of the impacts are uncertain and it is unclear whether existing forecasting capacities will foster successful local-level adaptation planning, particularly in climate vulnerable regions in developing countries. The purpose of this scoping review was to characterise and map priority climate- and water-sensitive diseases, map existing forecasting and surveillance systems in climate and health sectors and scope out the needs and potential to develop integrated climate-driven early warning forecasting systems for long-term adaptation planning and interventions in the south Asia region.

METHODS

We searched Web of Science Core Collection, Scopus and PubMed using title, abstract and keywords only for papers focussing on climate-and water-sensitive diseases and explicit mention of either forecasting or surveillance systems in south Asia. We conducted further internet search of relevant national climate adaptation plans and health policies affecting disease management. We identified 187 studies reporting on climate-sensitive diseases and information systems in the south Asia context published between 1992 and 2024.

RESULTS

We found very few robust, evidenced-based forecasting systems for climate- and water- sensitive infectious diseases, which suggests limited operationalisation of decision-support tools that could inform actions to reduce disease burdens in the region. Many of the information systems platforms identified focussed on climate-sensitive vector-borne disease systems, with limited tools for water-sensitive diseases. This reveals an opportunity to develop tools for these neglected disease groups. Of the 34 operational platforms identified across the focal countries, only 13 (representing 38.2%) are freely available online and all were developed and implemented by the human health sector. Tools are needed for other south Asian countries (Afghanistan, Sri Lanka, Bhutan) where the risks of infectious diseases are predicted to increase substantially due to climate change, drought and shifts in human demography and use of ecosystems.

CONCLUSION

Altogether, the findings highlight clear opportunities to invest in the co-development and implementation of contextually relevant climate-driven early warning tools and research priorities for disease control and adaptation planning.

摘要

背景

气候变化被广泛认为威胁着人类健康、福祉和生计,包括其对气候和水敏感传染病的出现、传播和负担的影响。然而,影响的规模和机制尚不确定,也不清楚现有的预测能力是否会促进成功的地方层面适应规划,特别是在发展中国家的气候脆弱地区。本范围审查的目的是描述和绘制优先考虑的气候和水敏感疾病,绘制气候和卫生部门现有的预测和监测系统,并概述为南亚地区的长期适应规划和干预措施开发综合气候驱动早期预警预测系统的需求和潜力。

方法

我们仅使用标题、摘要和关键词在 Web of Science Core Collection、Scopus 和 PubMed 上进行搜索,以搜索关注气候和水敏感疾病且明确提及南亚预测或监测系统的论文。我们还对影响疾病管理的相关国家气候适应计划和卫生政策进行了进一步的互联网搜索。我们确定了 187 项报告 1992 年至 2024 年期间南亚背景下气候敏感疾病和信息系统的研究。

结果

我们发现针对气候和水敏感传染病的稳健、基于证据的预测系统非常少,这表明该地区减少疾病负担的决策支持工具的运作有限。确定的许多信息系统平台都侧重于气候敏感的病媒传播疾病系统,而针对水敏感疾病的工具有限。这为开发针对这些被忽视疾病群体的工具提供了机会。在所关注的国家中确定的 34 个运营平台中,只有 13 个(占 38.2%)可在线免费获取,并且全部由人类健康部门开发和实施。其他南亚国家(阿富汗、斯里兰卡、不丹)也需要工具,这些国家由于气候变化、干旱以及人类人口结构和生态系统利用方式的变化,预计传染病风险会大大增加。

结论

总的来说,这些发现突出表明,有明显的机会投资于共同开发和实施与上下文相关的气候驱动早期预警工具和疾病控制与适应规划的研究重点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/8b3ccdc51755/pone.0309757.g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/3e634b1b2931/pone.0309757.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/8b3ccdc51755/pone.0309757.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/5d9b7327f18f/pone.0309757.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/826b50350047/pone.0309757.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/11500899/8b3ccdc51755/pone.0309757.g007.jpg

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