Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology.
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| Title: | Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology. |
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| Authors: | Kapwata T; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa. Thandi.Kapwata@mrc.ac.za., Webster C; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa., Chen WGG; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa., Suder MI; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa., Jarvis D; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa.; Machine Intelligence and Neural Discovery Unit, University of the Witwatersrand, Johannesburg, South Africa., Vogt A; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa., Mahlangeni N; Department of Environmental Health, University of Johannesburg, Johannesburg, South Africa.; Environment and Health Research Unit, South African Medical Research Council, Cape Town, South Africa., Laban T; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa., Naidoo N; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa., Mudu P; Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland., Shairsingh K; Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland., Wright CY; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.; Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa. |
| Source: | Environmental monitoring and assessment [Environ Monit Assess] 2026 May 18; Vol. 198 (6). Date of Electronic Publication: 2026 May 18. |
| Publication Type: | Journal Article; Scoping Review; Review |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42149274 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kapwata+T%22">Kapwata T</searchLink>; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa. Thandi.Kapwata@mrc.ac.za.<br /><searchLink fieldCode="AU" term="%22Webster+C%22">Webster C</searchLink>; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.<br /><searchLink fieldCode="AU" term="%22Chen+WGG%22">Chen WGG</searchLink>; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Suder+MI%22">Suder MI</searchLink>; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Jarvis+D%22">Jarvis D</searchLink>; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa.; Machine Intelligence and Neural Discovery Unit, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Vogt+A%22">Vogt A</searchLink>; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Mahlangeni+N%22">Mahlangeni N</searchLink>; Department of Environmental Health, University of Johannesburg, Johannesburg, South Africa.; Environment and Health Research Unit, South African Medical Research Council, Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Laban+T%22">Laban T</searchLink>; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.<br /><searchLink fieldCode="AU" term="%22Naidoo+N%22">Naidoo N</searchLink>; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.<br /><searchLink fieldCode="AU" term="%22Mudu+P%22">Mudu P</searchLink>; Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Shairsingh+K%22">Shairsingh K</searchLink>; Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Wright+CY%22">Wright CY</searchLink>; Climate Change and Health Research Programme, Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.; Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228508350%22">Environmental monitoring and assessment</searchLink> [Environ Monit Assess] 2026 May 18; Vol. 198 (6). <i>Date of Electronic Publication: </i>2026 May 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Scoping Review; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8508350 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2959 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676369%22">01676369 </searchLink><i>NLM ISO Abbreviation: </i>Environ Monit Assess <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42149274 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10661-026-15376-0 Languages: – Code: eng Text: English Titles: – TitleFull: Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kapwata T – PersonEntity: Name: NameFull: Webster C – PersonEntity: Name: NameFull: Chen WGG – PersonEntity: Name: NameFull: Suder MI – PersonEntity: Name: NameFull: Jarvis D – PersonEntity: Name: NameFull: Vogt A – PersonEntity: Name: NameFull: Mahlangeni N – PersonEntity: Name: NameFull: Laban T – PersonEntity: Name: NameFull: Naidoo N – PersonEntity: Name: NameFull: Mudu P – PersonEntity: Name: NameFull: Shairsingh K – PersonEntity: Name: NameFull: Wright CY IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 05 Text: 2026 May 18 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-2959 Numbering: – Type: volume Value: 198 – Type: issue Value: 6 Titles: – TitleFull: Environmental monitoring and assessment Type: main |
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