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Visualizing health inequality data: guidance for selecting and designing graphs and maps.

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Title: Visualizing health inequality data: guidance for selecting and designing graphs and maps.
Authors: Bergen N; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland., Kirkby K; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland., Nambiar D; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland., Schlotheuber A; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland., Hosseinpoor AR; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland. hosseinpoora@who.int.
Source: International journal for equity in health [Int J Equity Health] 2025 Dec 11; Vol. 24 (1), pp. 343. Date of Electronic Publication: 2025 Dec 11.
Publication Type: Journal Article; Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101147692 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-9276 (Electronic) Linking ISSN: 14759276 NLM ISO Abbreviation: Int J Equity Health Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: Visualizing health inequality data: guidance for selecting and designing graphs and maps.
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  Data: <searchLink fieldCode="AU" term="%22Bergen+N%22">Bergen N</searchLink>; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kirkby+K%22">Kirkby K</searchLink>; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland.<br /><searchLink fieldCode="AU" term="%22Nambiar+D%22">Nambiar D</searchLink>; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland.<br /><searchLink fieldCode="AU" term="%22Schlotheuber+A%22">Schlotheuber A</searchLink>; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hosseinpoor+AR%22">Hosseinpoor AR</searchLink>; Department of Data, Digital Health, Analytics and AI, World Health Organization, 20 Avenue Appia, Geneva 27, CH-1211, Switzerland. hosseinpoora@who.int.
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  Data: <searchLink fieldCode="JN" term="%22101147692%22">International journal for equity in health</searchLink> [Int J Equity Health] 2025 Dec 11; Vol. 24 (1), pp. 343. <i>Date of Electronic Publication: </i>2025 Dec 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101147692 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-9276 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214759276%22">14759276 </searchLink><i>NLM ISO Abbreviation: </i>Int J Equity Health <i>Subsets: </i>MEDLINE; In Process
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        Value: 10.1186/s12939-025-02667-0
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              Text: 2025 Dec 11
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