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Climate change and cancer: converging policies

Intervening on risk factors for noncommunicable diseases (including cancer) in industrialized countries could achieve a reduction of between 30% and 40% of premature deaths. In the meantime, the need to intervene against the threat of climate change has become obvious. CO2 emissions must be reduced by 45% by the year 2030 and to zero by 2050 according to recent agreements. We propose an approach in which interventions are designed to prevent diseases and jointly mitigate climate change, the so‐called cobenefits. The present article describes some examples of how climate change mitigation and cancer prevention could go hand in hand: tobacco control, food production, and transportation (air pollution). Many others can be identified. The advantage of the proposed approach is that both long‐term (climate) and short‐term (health) benefits can be accrued with appropriate intersectoral policies.
- International Agency For Research On Cancer France
- Imperial College London United Kingdom
570, Climate Change, air pollution, DIVERSITY, Reviews, ultraprocessed food, Risk Factors, Neoplasms, Food Quality, Animals, Humans, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, RC254-282, biodiversity, Science & Technology, externalities, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Carcinogens, Environmental, climate change, Oncology, Fast Foods, HEALTH, cobenefits, Life Sciences & Biomedicine
570, Climate Change, air pollution, DIVERSITY, Reviews, ultraprocessed food, Risk Factors, Neoplasms, Food Quality, Animals, Humans, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, RC254-282, biodiversity, Science & Technology, externalities, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Carcinogens, Environmental, climate change, Oncology, Fast Foods, HEALTH, cobenefits, Life Sciences & Biomedicine
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
