File:Prevalence of topics within articles included in mapping of global research on climate and health, organised by meta-topic.jpg

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From the study "Systematic mapping of global research on climate and health: a machine learning review"

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English: "The axis is a normalised scale that reflects topic prevalence relative to the mean score (reference=1). For example, a bar with a value on the axis of 2 would mean that topic is twice as prevalent as the mean of all topics. A bar with a value of 0·5 would be a topic that occurs half as often as the mean. Topics are identified based on words used in article titles, keywords, and abstracts, and can thus reflect several meanings. Community, for example, includes articles related to community resilience, community perceptions, community-level studies, and community participation. Viewing the detailed words within this topic (appendix 1 p 7) shows that much of the literature driving this topic is associated with community and resilience as dominant co-occurring words."
Date
Source https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(21)00179-0/fulltext
Author

Authors of the study:

    Prof Lea Berrang-Ford, PhD
   Anne J Sietsma, MSc
   Max Callaghan, PhD
   Prof Jan C Minx, PhD
   Pauline F D Scheelbeek, PhD
   Neal R Haddaway, PhD
   Prof Sir Andy Haines, FMedSci
Prof Alan D Dangour, PhD

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w:en:Creative Commons
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current15:07, 12 September 2023Thumbnail for version as of 15:07, 12 September 20232,855 × 3,030 (1.13 MB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Prof Lea Berrang-Ford, PhD Anne J Sietsma, MSc Max Callaghan, PhD Prof Jan C Minx, PhD Pauline F D Scheelbeek, PhD Neal R Haddaway, PhD Prof Sir Andy Haines, FMedSci Prof Alan D Dangour, PhD from https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(21)00179-0/fulltext with UploadWizard

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