Systematic mapping of global research on climate and health: a machine learning 
review

Berrang-Ford, Lea; Sietsma, Anne J.; Callaghan, Max W.; Minx, Jan C.; Scheelbeek, Pauline F. D.; Haddaway, Neal R.; Haines, Andy; Dangour, Alan D.

doi:10.1016/s2542-5196(21)00179-0

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Systematic mapping of global research on climate and health: a machine learning review

Berrang-Ford, L., Sietsma, A. J., Callaghan, M. W., Minx, J. C., Scheelbeek, P. F. D., Haddaway, N. R., Haines, A., Dangour, A. D. (2021): Systematic mapping of global research on climate and health: a machine learning review. - The Lancet Planetary Health, 5, 8, e514-e525.
https://doi.org/10.1016/s2542-5196(21)00179-0

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_31030 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_31030_1

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Berrang-Ford, Lea¹, Author
Sietsma, Anne J., Author
Callaghan, Max W., Author
Minx, Jan C., Author
Scheelbeek, Pauline F. D., Author
Haddaway, Neal R., Author
Haines, Andy, Author
Dangour, Alan D., Author

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1External Organizations, ou_persistent22

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Dates: Finally published : 2021

Publication Status: Finally published

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Identifiers: DOI: 10.1016/s2542-5196(21)00179-0
BibTex Citekey: RN1210

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Title: The Lancet Planetary Health

Source Genre: Journal

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Pages: - Volume / Issue: 5 (8) Sequence Number: - Start / End Page: e514 - e525 Identifier: PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Evidence for Climate Solutions