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Spets, P., Ebert, K. & Dinnétz, P. (2023). Spatial analysis of antimicrobial resistance in the environment. A systematic review. Geospatial Health, 18(1), Article ID 1168.
Open this publication in new window or tab >>Spatial analysis of antimicrobial resistance in the environment. A systematic review
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
National Category
Ecology
Research subject
Environmental Studies
Identifiers
urn:nbn:se:sh:diva-51576 (URN)10.4081/gh.2023.1168 (DOI)001000112600010 ()37246541 (PubMedID)2-s2.0-85160819946 (Scopus ID)
Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2023-07-06Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5335-3158

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