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Review
. 2021 Jan;6(1):e64-e81.
doi: 10.1016/S2468-2667(20)30256-5. Epub 2020 Dec 2.

The 2020 China report of the Lancet Countdown on health and climate change

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Review

The 2020 China report of the Lancet Countdown on health and climate change

Wenjia Cai et al. Lancet Public Health. 2021 Jan.

Erratum in

  • Correction to Lancet Public Health 2021; 6: e64-81.
    [No authors listed] [No authors listed] Lancet Public Health. 2021 Feb;6(2):e87. doi: 10.1016/S2468-2667(21)00003-7. Epub 2021 Jan 8. Lancet Public Health. 2021. PMID: 33428863 Free PMC article. No abstract available.
No abstract available

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Figures

Figure 1
Figure 1
Change in the number of days of heatwave exposure for each person aged 65 years or older in China, relative to the 1986–2005 average. (A) Country-level trend. (B) Provincial-level results in 2019.
Figure 2
Figure 2
Heatwave-related mortality in China (A) Trend of heatwave-related mortality in 1990–2019. (B) Heatwave-related mortality in different provinces in 2019.
Figure 3
Figure 3
The key rising health risks from climate change in each province in China Each province in the map is coloured according to the number of indicators with a growth rate larger than 10% between 2000 and 2019. Each colour in the pie chart represents one of the indicators tracked. With each indicator weighted equally, the size of the slice is proportional to the size of the growth rate of each indicator.
Figure 4
Figure 4
Comprehensive index measuring health emergencies management ability in different provinces in China
Figure 5
Figure 5
Prevented fraction of heatwave-related mortality caused by household air-conditioning use and energy consumption of urban household air-conditioning in China
Figure 6
Figure 6
Premature deaths attributable to exposure to PM2·5 in 2015 and 2018, by key sources of pollution in China PM2·5=particulate matter with an aerodynamic diameter of 2·5 μm or less.
Figure 7
Figure 7
Air pollution emissions intensity of road transport in China from 2000 to 2018 for carbon monoxide, hydrocarbons, nitrogen oxide, and PM10 PM10=particulate matter with an aerodynamic diameter of 10 μm or less.
Figure 8
Figure 8
Monetised value of heat-related mortality, by region in China $2015=based on the value of the US$ in 2015.
Figure 9
Figure 9
Economic costs of heat-related labour productivity loss. (A) National-level results, by year and industry, in $US billions of $2015. (B) Provincial-level results in 2015, relative to GDP. $2015=based on the value of the US$ in 2015. GDP=gross domestic product.
Figure 10
Figure 10
Economic costs of premature deaths from ambient PM2·5 pollution. (A) National-level result, by year and industry, in $US billions of $2015. (B) Provincial-level result in 2015, relative to GDP. $2015=based on the value of the US$ in 2015. GDP=gross domestic product. PM2·5=particulate matter with an aerodynamic diameter of 2·5 μm or less.
Figure 11
Figure 11
Annual coverage of climate change and health and climate change on Weibo between 2010 and 2019
Figure 12
Figure 12
An overview of indicator trends For each indicator, an index is created, ranging from 0 to 1, with the colour in each block representing its score. Darker colours indicate a more concerning effect, and a more ambitious response. For example, index score 1 represents the worst case in the past 20 years for impact factors and the best possible case for response factors.

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