title: Using the H-index to assess disease priorities for salmon aquaculture.
abstract: Atlantic salmon's (Salmo salar) annual aquaculture production exceeds 2M tonnes globally, and for the UK forms the largest single food export. However, aquaculture production is negatively affected by a range of different diseases and parasites. Effort to control pathogens should be focused on those which are most "important" to aquaculture. It is difficult to specify what makes a pathogen important; this is particularly true in the aquatic sector where data capture systems are less developed than for human or terrestrial animal diseases. Mortality levels might be one indicator, but these can cause a range of different problems such as persistent endemic losses, occasional large epidemics or control/treatment costs. Economic and multi-criteria decision methods can incorporate this range of impacts, however these have not been consistently applied to aquaculture and the quantity and quality of data required is large, so their potential for comparing aquatic pathogens is currently limited. A method that has been developed and applied to both human and terrestrial animal diseases is the analysis of published scientific literature using the H-index method. We applied this method to salmon pathogens using Web of Science searches for 23 pathogens. The top 3 H-indices were obtained for: sea lice, furunculosis, and infectious salmon anaemia; post 2000, Amoebic Gill Disease (AGD) replaced furunculosis. The number of publications per year describing bacterial disease declined significantly, while those for viruses and sea lice increased significantly. This reflects effective bacterial control by vaccination, while problems related to viruses and sea lice have increased. H-indices by country reflected different national concerns (e.g. AGD ranked top for Australia). Averaged national H-indices for salmon diseases tend to increase with log of salmon production; countries with H-Indices significantly below the trend line have suffered particularly large disease losses. The H-index method, supported by other literature analyses, is consistent with the nature and history of salmon diseases and so provides a useful quantitative measure for comparing different diseases in the absence of other measures.
authors.affiliation: Marine Laboratory Marine Scotland Science, 375 Victoria Road, Aberdeen AB11 9DB, UK. Electronic address: sandy.murray@gov.scot.
authors.forename: Alexander G
authors.initials: AG
authors.lastname: Murray
authors.affiliation: Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, L69 7BE, UK; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK.
authors.forename: Maya
authors.initials: M
authors.lastname: Wardeh
authors.affiliation: Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, L69 7BE, UK; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK.
authors.forename: K Marie
authors.initials: KM
authors.lastname: McIntyre
mesh_terms: D000043:Abstracting and Indexing; D000818:Animals; D017756:Aquaculture / Q000379:methods; D001315:Australia; D005393:Fish Diseases; D006292:Health Priorities; D020317:Salmo salar; D012693:Serial Publications
keywords: Aquaculture; Atlantic salmon; H-index; Pathogens