Spatial analysis of antimicrobial resistance in the environment. A systematic review
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2023-05-01
|
| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1168 |
| _version_ | 1797820092322414592 |
|---|---|
| author | Patrick Spets Karin Ebert Patrik Dinnétz |
| author_facet | Patrick Spets Karin Ebert Patrik Dinnétz |
| author_sort | Patrick Spets |
| collection | DOAJ |
| description |
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.
|
| first_indexed | 2024-03-13T09:33:18Z |
| format | Article |
| id | doaj.art-4f5357fae8774ad5b39104aea47bf79e |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-03-13T09:33:18Z |
| publishDate | 2023-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-4f5357fae8774ad5b39104aea47bf79e2023-05-25T18:21:15ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962023-05-0118110.4081/gh.2023.1168Spatial analysis of antimicrobial resistance in the environment. A systematic reviewPatrick Spets0Karin Ebert1Patrik Dinnétz2Natural Sciences, Technology and Environmental Studies, Södertörn University, HuddingeNatural Sciences, Technology and Environmental Studies, Södertörn University, HuddingeNatural Sciences, Technology and Environmental Studies, Södertörn University, Huddinge 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. https://geospatialhealth.net/index.php/gh/article/view/1168antibiotic resistancespatial methodsGISland usenatural environment |
| spellingShingle | Patrick Spets Karin Ebert Patrik Dinnétz Spatial analysis of antimicrobial resistance in the environment. A systematic review Geospatial Health antibiotic resistance spatial methods GIS land use natural environment |
| title | Spatial analysis of antimicrobial resistance in the environment. A systematic review |
| title_full | Spatial analysis of antimicrobial resistance in the environment. A systematic review |
| title_fullStr | Spatial analysis of antimicrobial resistance in the environment. A systematic review |
| title_full_unstemmed | Spatial analysis of antimicrobial resistance in the environment. A systematic review |
| title_short | Spatial analysis of antimicrobial resistance in the environment. A systematic review |
| title_sort | spatial analysis of antimicrobial resistance in the environment a systematic review |
| topic | antibiotic resistance spatial methods GIS land use natural environment |
| url | https://geospatialhealth.net/index.php/gh/article/view/1168 |
| work_keys_str_mv | AT patrickspets spatialanalysisofantimicrobialresistanceintheenvironmentasystematicreview AT karinebert spatialanalysisofantimicrobialresistanceintheenvironmentasystematicreview AT patrikdinnetz spatialanalysisofantimicrobialresistanceintheenvironmentasystematicreview |