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.
To date, there is no comprehensive evidence base that captures the breadth of the literature on this topic. To fill this gap, this article uses machine learning methods to systematically synthesize an evidence base on climate change and human health.
The findings show the importance of using automated machine learning to comprehensively map the science on climate change and human health in the age of big literature. These results can provide key inputs into global climate and health assessments.
Design and development by Soapbox.