Temporal and geographical research trends of antimicrobial resistance in wildlife - A bibliometric analysis

Abstract

Antimicrobial resistance (AMR) is a complex and global problem. Despite the growing literature on AMR in the medical and veterinary settings, there is still a lack of knowledge on the wildlife compartment. The main aim of this study was to report the global trends in AMR research in wildlife, through a bibliometric study of articles found in the Web of Science database. Search terms were "ANTIMICROBIAL" OR "ANTIBIOTIC" AND "RESISTANT" OR "RESISTANCE" and "WILDLIFE" "MAMMAL" "BIRD" "REPTILE" "FERAL" "FREE RANGE". A total of 219 articles were obtained, published between 1979 and 2019. A rising interest in the last decades towards this topic becomes evident. During this period, the scientific literature was distributed among several scientific areas, however it became more multidisciplinary in the last years, focusing on the "One Health" paradigm. There was a geographical bias in the research outputs: most published documents were from the United States, followed by Spain, Portugal and the United Kingdom. The most productive institutions in terms of publication number were located in Portugal and Spain. An important level of international collaboration was identified. An analysis of the main keywords showed an overall dominance of "AMR", "E. coli", "genes", "prevalence", "bacteria", "Salmonella spp." and "wild birds". This is the first study providing a global overview of the spatial and temporal trends of research related to AMR in wildlife. Given the growth tendency over the last years, it is envisaged that scientific production will expand in the future. In addition to offering a broad view of the existing research trends, this study identifies research gaps both in terms of geographical incidence and in relation to unexplored subtopics. Unearthing scientific areas that should be explored in the future is key to designing new strategic research agendas in AMR research in wildlife and to inform funding programs.

Keywords: AMR; Bibliometric analysis; E. coli; Genes; One health; Wildlife.

Graphical abstract

Fig. 1

Scoping review flowchart of the dataset selection process. The PRISMA flow diagram of the search strategy, study selection and data management procedure.

Fig. 2

Evolution of published papers on AMR in wildlife from 1979 to 2019.

Fig. 3

Evolution of published papers in subject categories, from 1979 to 2019.

Fig. 4

Global scientific production and international collaboration on AMR in wildlife.

Fig. 5

Word cloud based on the main keywords related to worldwide research focused on AMR in wildlife for the 1979 to 2019 period (left) and its evolution (right).

Fig. 6

Number of publications by host taxon group.