| 来源类型 | Journal articles |
| 规范类型 | 论文 |
| DOI | 10.1016/S2542-5196(21)00179-0 |
| Systematic mapping of global research on climate and health: a machine learning review | |
| Neal Haddaway; Jan Minx | |
| 发表日期 | 2021-07-14 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 概述 | This article uses machine learning methods to create an evidence base on climate change and human health. |
| 摘要 | The effects of climate change on health are already evident in populations worldwide and threaten to undermine the past 50 years of global gains in public health. Health can be affected by the changing climate through many causal pathways. Climate change is also expected to weaken coping strategies, especially among poor communities in low-income countries. |
| 主题 | Climate : Climate policy ; Health : Climate services |
| 标签 | evidence synthesis ; food security |
| 区域 | Europe ; Africa ; Asia ; Americas |
| URL | https://www.sei.org/publications/global-research-on-climate-and-health/ |
| 来源智库 | Stockholm Environment Institute (Sweden) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/525368 |
| 推荐引用方式 GB/T 7714 | Neal Haddaway,Jan Minx. Systematic mapping of global research on climate and health: a machine learning review. 2021. |
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