sh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Spatial analysis of antimicrobial resistance in the environment. A systematic review
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.ORCID iD: 0000-0001-5335-3158
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.ORCID iD: 0000-0002-1030-5268
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science.ORCID iD: 0000-0002-7043-9815
2023 (English)In: Geospatial Health, ISSN 1827-1987, Vol. 18, no 1, article id 1168Article, review/survey (Refereed) Published
Abstract [en]

Antimicrobial resistance (AMR) is a global major health concern. Spatial analysis is considered an invaluable method in health studies. Therefore, we explored the usage of spatial analysis in Geographic Information Systems (GIS) in studies on AMR in the environment. This systematic review is based on database searches, a content analysis, ranking of the included studies according to the preference ranking organization method for enrichment evaluations (PROMETHEE) and estimation of data points per km2. Initial database searches resulted in 524 records after removal of duplicates. After the last stage of full text screening, 13 greatly heterogeneous articles with diverse study origins, methods and design remained. In the majority of studies, the data density was considerably less than one sampling site per km2 but exceeded 1,000 sites per km2 in one study. The results of the content analysis and ranking showed a variation between studies that primarily used spatial analysis and those that used spatial analysis as a sec ondary method. We identified two distinct groups of GIS methods. The first was focused on sample collection and laboratory testing, with GIS as supporting method. The second group used overlay analysis as the primary method to combine datasets in a map. In one case, both methods were combined. The low number of articles that met our inclusion criteria highlights a research gap. Based on the findings of this study we encourage application of GIS to its full potential in studies of AMR in the environment.

Place, publisher, year, edition, pages
PAGEPress Publications , 2023. Vol. 18, no 1, article id 1168
National Category
Ecology
Research subject
Environmental Studies
Identifiers
URN: urn:nbn:se:sh:diva-51576DOI: 10.4081/gh.2023.1168ISI: 001000112600010PubMedID: 37246541Scopus ID: 2-s2.0-85160819946OAI: oai:DiVA.org:sh-51576DiVA, id: diva2:1761720
Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2023-07-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Spets, PatrickEbert, KarinDinnétz, Patrik

Search in DiVA

By author/editor
Spets, PatrickEbert, KarinDinnétz, Patrik
By organisation
Environmental Science
Ecology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 118 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf