Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890889106> ?p ?o ?g. }
- W2890889106 endingPage "e0202580" @default.
- W2890889106 startingPage "e0202580" @default.
- W2890889106 abstract "Currently, separate measures are used to estimate the impact of animal diseases on mortality and animal welfare. This article introduces a novel metric, the Welfare-Adjusted Life Year (WALY), to estimate disease impact by combining welfare compromise and premature death components. Adapting the Disability-Adjusted Life Year approach used in human health audits, we propose WALY as the sum of a) the years lived with impaired welfare due to a particular cause and b) the years of life lost due to the premature death from the same cause. The years lived with impaired welfare are the product of the average duration of each welfare impediment, reflecting the actual condition that compromises animal welfare, the probability of an incident case developing and impaired welfare weights, representing the degree of impaired welfare. The years of life lost are calculated using the standard expected lifespan at the time of premature death. To demonstrate the concept, we estimated WALYs for 10 common canine diseases, namely mitral valve disease, dilated cardiomyopathy, chronic kidney disease, diabetes mellitus, atopic dermatitis, splenic haemangiosarcoma, appendicular osteosarcoma, cranial cruciate ligament disease, thoracolumbar intervertebral disc disease and cervical spondylomyelopathy. A survey of veterinarians (n = 61) was conducted to elicit impaired welfare weights for 35 welfare impediments. Paired comparison was the primary method to elicit weights, whereas visual analogue scale and time trade-off approaches rescaled these weights onto the desired scale, from 0 (the optimal welfare imaginable) to 1 (the worst welfare imaginable). WALYs for the 10 diseases were then estimated using the impaired welfare weights and published epidemiological data on disease impacts. Welfare impediment “amputation: one limb” and “respiratory distress” had the lowest and highest impaired welfare weights at 0.134 and 0.796, rescaled with a visual analogue scale, and 0.117 and 0.857, rescaled with time trade-off. Among the 10 diseases, thoracolumbar intervertebral disc disease and atopic dermatitis had the smallest and greatest adverse impact on dogs with WALYs at 2.83 (95% UI: 1.54–3.94) and 9.73 (95% uncertainty interval [UI]: 7.17–11.8), respectively. This study developed the WALY metric and demonstrated that it summarises welfare compromise as perceived by humans and total impact of diseases in individual animals. The WALY can potentially be used for prioritisation of disease eradication and control programs, quantification of population welfare and longitudinal surveillance of animal welfare in companion animals and may possibly be extended to production animals." @default.
- W2890889106 created "2018-09-27" @default.
- W2890889106 creator A5006349203 @default.
- W2890889106 creator A5007330276 @default.
- W2890889106 creator A5011681283 @default.
- W2890889106 creator A5015863982 @default.
- W2890889106 creator A5023571921 @default.
- W2890889106 creator A5045934988 @default.
- W2890889106 creator A5083147563 @default.
- W2890889106 creator A5087531886 @default.
- W2890889106 date "2018-09-12" @default.
- W2890889106 modified "2023-10-04" @default.
- W2890889106 title "Welfare-Adjusted Life Years (WALY): A novel metric of animal welfare that combines the impacts of impaired welfare and abbreviated lifespan" @default.
- W2890889106 cites W1551970180 @default.
- W2890889106 cites W1585641842 @default.
- W2890889106 cites W1765908961 @default.
- W2890889106 cites W1865096132 @default.
- W2890889106 cites W1964094397 @default.
- W2890889106 cites W1968303285 @default.
- W2890889106 cites W1969457437 @default.
- W2890889106 cites W1978644011 @default.
- W2890889106 cites W1981368365 @default.
- W2890889106 cites W1982290306 @default.
- W2890889106 cites W1986289069 @default.
- W2890889106 cites W1986535737 @default.
- W2890889106 cites W1986739902 @default.
- W2890889106 cites W2002608522 @default.
- W2890889106 cites W2008162164 @default.
- W2890889106 cites W2013067747 @default.
- W2890889106 cites W2022629209 @default.
- W2890889106 cites W2022997084 @default.
- W2890889106 cites W2023081448 @default.
- W2890889106 cites W2023562831 @default.
- W2890889106 cites W2029036450 @default.
- W2890889106 cites W2029748915 @default.
- W2890889106 cites W2030243320 @default.
- W2890889106 cites W2033921873 @default.
- W2890889106 cites W2042336984 @default.
- W2890889106 cites W2049668639 @default.
- W2890889106 cites W2049780111 @default.
- W2890889106 cites W2062352779 @default.
- W2890889106 cites W2073320314 @default.
- W2890889106 cites W2074483722 @default.
- W2890889106 cites W2075057733 @default.
- W2890889106 cites W2081985136 @default.
- W2890889106 cites W2087449743 @default.
- W2890889106 cites W2090532888 @default.
- W2890889106 cites W2091278357 @default.
- W2890889106 cites W2091425017 @default.
- W2890889106 cites W2092640720 @default.
- W2890889106 cites W2094469163 @default.
- W2890889106 cites W2095110830 @default.
- W2890889106 cites W2096228153 @default.
- W2890889106 cites W2105528413 @default.
- W2890889106 cites W2105584505 @default.
- W2890889106 cites W2108215795 @default.
- W2890889106 cites W2113237624 @default.
- W2890889106 cites W2118492091 @default.
- W2890889106 cites W2120391710 @default.
- W2890889106 cites W2122161420 @default.
- W2890889106 cites W2125306701 @default.
- W2890889106 cites W2137757923 @default.
- W2890889106 cites W2147829794 @default.
- W2890889106 cites W2153077966 @default.
- W2890889106 cites W2156639627 @default.
- W2890889106 cites W2157400091 @default.
- W2890889106 cites W2158543557 @default.
- W2890889106 cites W2160570085 @default.
- W2890889106 cites W2167758302 @default.
- W2890889106 cites W2170891311 @default.
- W2890889106 cites W2170962561 @default.
- W2890889106 cites W2171186399 @default.
- W2890889106 cites W2175937161 @default.
- W2890889106 cites W2191908927 @default.
- W2890889106 cites W2225865610 @default.
- W2890889106 cites W2438478799 @default.
- W2890889106 cites W2504120104 @default.
- W2890889106 cites W2505069401 @default.
- W2890889106 cites W2580266662 @default.
- W2890889106 cites W2756769063 @default.
- W2890889106 cites W2760270932 @default.
- W2890889106 cites W3007585590 @default.
- W2890889106 cites W4233448338 @default.
- W2890889106 cites W4246276282 @default.
- W2890889106 cites W4256087699 @default.
- W2890889106 doi "https://doi.org/10.1371/journal.pone.0202580" @default.
- W2890889106 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6135394" @default.
- W2890889106 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30208045" @default.
- W2890889106 hasPublicationYear "2018" @default.
- W2890889106 type Work @default.
- W2890889106 sameAs 2890889106 @default.
- W2890889106 citedByCount "14" @default.
- W2890889106 countsByYear W28908891062019 @default.
- W2890889106 countsByYear W28908891062020 @default.
- W2890889106 countsByYear W28908891062021 @default.
- W2890889106 countsByYear W28908891062022 @default.
- W2890889106 countsByYear W28908891062023 @default.
- W2890889106 crossrefType "journal-article" @default.