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Li Y, McIntyre KM, Rasmussen P, Gilbert W, Chaters G, Raymond K, Jemberu WT, Larkins A, Patterson GT, Kwok S, Kappes AJ, Mayberry D, Schrobback P, Acosta MH, Stacey DA, Huntington B, Bruce M, Knight-Jones T, Rushton J. Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme. Res Vet Sci 2024; 168:105102. [PMID: 38215653 DOI: 10.1016/j.rvsc.2023.105102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/05/2023] [Accepted: 11/27/2023] [Indexed: 01/14/2024]
Abstract
The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems. This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale. The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
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Affiliation(s)
- Yin Li
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia.
| | - K Marie McIntyre
- Global Burden of Animal Diseases (GBADs) Programme; School of Natural and Environmental Sciences, Newcastle University, UK; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Philip Rasmussen
- Department of Veterinary and Animal Sciences, Section for Animal Welfare and Disease Control, University of Copenhagen, Copenhagen, Denmark; Section for Epidemiology, University of Zurich, Zurich, Switzerland
| | - William Gilbert
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Gemma Chaters
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Kassy Raymond
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Wudu T Jemberu
- Global Burden of Animal Diseases (GBADs) Programme; International Livestock Research Institute, P O Box 5689, Addis Ababa, Ethiopia; University of Gondar, P. O. Box 196, Gondar, Ethiopia
| | - Andrew Larkins
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Grace T Patterson
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Stephen Kwok
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Alexander James Kappes
- Global Burden of Animal Diseases (GBADs) Programme; School of Economic Sciences & Paul G. Allen School for Global Health, Washington State University, USA
| | - Dianne Mayberry
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia
| | - Peggy Schrobback
- Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia
| | - Mario Herrero Acosta
- College of Agriculture and Life Sciences, Cornell University, 250C Warren Hall, Ithaca, NY 14853, USA
| | - Deborah A Stacey
- Global Burden of Animal Diseases (GBADs) Programme; School of Computer Science, University of Guelph, Canada
| | - Benjamin Huntington
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
| | - Mieghan Bruce
- Global Burden of Animal Diseases (GBADs) Programme; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia
| | - Theodore Knight-Jones
- Global Burden of Animal Diseases (GBADs) Programme; International Livestock Research Institute, P O Box 5689, Addis Ababa, Ethiopia
| | - Jonathan Rushton
- Global Burden of Animal Diseases (GBADs) Programme; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK
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Hdaifeh A, Khalid T, Boué G, Cummins E, Guillou S, Federighi M, Tesson V. Critical Analysis of Pork QMRA Focusing on Slaughterhouses: Lessons from the Past and Future Trends. Foods 2020; 9:E1704. [PMID: 33233782 PMCID: PMC7699970 DOI: 10.3390/foods9111704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/09/2020] [Accepted: 11/18/2020] [Indexed: 01/27/2023] Open
Abstract
Foodborne microbial diseases have a significant impact on public health, leading to millions of human illnesses each year worldwide. Pork is one of the most consumed meat in Europe but may also be a major source of pathogens introduced all along the farm-to-fork chain. Several quantitative microbial risk assessment (QMRA) have been developed to assess human health risks associated with pork consumption and to evaluate the efficiency of different risk reduction strategies. The present critical analysis aims to review pork QMRA. An exhaustive search was conducted following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. It resulted in identification of a collection of 2489 papers including 42 on QMRA, after screening. Among them, a total of 29 studies focused on Salmonella spp. with clear concern on impacts at the slaughterhouse, modeling the spreading of contaminations and growth at critical stages along with potential reductions. Along with strict compliance with good hygiene practices, several potential risk mitigation pathways were highlighted for each slaughterhouse step. The slaughterhouse has a key role to play to ensure food safety of pork-based products but consideration of the whole farm-to-fork chain is necessary to enable better control of bacteria. This review provides an analysis of pork meat QMRA, to facilitate their reuse, and identify gaps to guide future research activities.
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Affiliation(s)
- Ammar Hdaifeh
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Tahreem Khalid
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Géraldine Boué
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Enda Cummins
- Biosystems and Food Engineering, University College Dublin, Dublin 4 Belfield, Ireland;
| | - Sandrine Guillou
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Michel Federighi
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Vincent Tesson
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
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Abstract
The EUFORA fellowship programme ‘Livestock Health and Food Chain Risk Assessment’ was proposed by the Animal and Plant Health Agency (APHA), a British governmental institution responsible for safeguarding animal and plant health in the UK. The working programme, which was organised into four different modules, covered a wide range of aspects related to risk assessment including identification of emerging risks, risk prioritisation methods, scanning surveillance, food production exposure assessment and import risk assessment of animal and human infectious diseases. Over the course of the year, the Fellow had the opportunity to work for international projects with experts in these disciplines. This allowed for significant opportunities to ‘learn‐by‐doing’ the methods and the techniques that are employed to assess animal health and food safety risks. Moreover, he consolidated his knowledge by attending several training courses and academic lessons, submitting scientific papers to peer‐reviewed journals and conferences, giving presentations and using modelling software.
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Vigre H, Barfoed K, Swart AN, Simons RRL, Hill AA, Snary EL, Hald T. Characterization of the Human Risk of Salmonellosis Related to Consumption of Pork Products in Different E.U. Countries Based on a QMRA. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2016; 36:531-545. [PMID: 26857423 DOI: 10.1111/risa.12499] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
In response to the European Food Safety Authority's wish to assess the reduction of human cases of salmonellosis by implementing control measures at different points in the farm-to-consumption chain for pork products, a quantitative microbiological risk assessment (QMRA) was developed. The model simulated the occurrence of Salmonella from the farm to consumption of pork cuts, minced meat, and fermented ready-to-eat sausage, respectively, and a dose-response model was used to estimate the probability of illness at consumption. The QMRA has a generic structure with a defined set of variables, whose values are changed according to the E.U. member state (MS) of interest. In this article we demonstrate the use of the QMRA in four MSs, representing different types of countries. The predicted probability of illness from the QMRA was between 1 in 100,000 and 1 in 10 million per serving across all three product types. Fermented ready-to-eat sausage imposed the highest probability of illness per serving in all countries, whereas the risks per serving of minced meat and pork chops were similar within each MS. For each of the products, the risk varied by a factor of 100 between the four MSs. The influence of lack of information for different variables was assessed by rerunning the model with alternative, more extreme, values. Out of the large number of uncertain variables, only a few of them have a strong influence on the probability of illness, in particular those describing the preparation at home and consumption.
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Affiliation(s)
- Håkan Vigre
- Food-DTU - National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - Kristen Barfoed
- Food-DTU - National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - Arno N Swart
- RIVM - Centre for Infectious Disease Control, Bilthoven, The Netherlands
| | - Robin R L Simons
- Epidemiology, Surveillance & Risk Group, Animal Health and Veterinary Laboratories Agency, New Haw, Addlestone, Surrey, UK
| | - Andrew A Hill
- Epidemiology, Surveillance & Risk Group, Animal Health and Veterinary Laboratories Agency, New Haw, Addlestone, Surrey, UK
| | - Emma L Snary
- Epidemiology, Surveillance & Risk Group, Animal Health and Veterinary Laboratories Agency, New Haw, Addlestone, Surrey, UK
| | - Tine Hald
- Food-DTU - National Food Institute, Technical University of Denmark, Søborg, Denmark
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Snary EL, Swart AN, Simons RRL, Domingues ARC, Vigre H, Evers EG, Hald T, Hill AA. A Quantitative Microbiological Risk Assessment for Salmonella in Pigs for the European Union. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2016; 36:437-49. [PMID: 27002672 DOI: 10.1111/risa.12586] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
A farm-to-consumption quantitative microbiological risk assessment (QMRA) for Salmonella in pigs in the European Union has been developed for the European Food Safety Authority. The primary aim of the QMRA was to assess the impact of hypothetical reductions of slaughter-pig prevalence and the impact of control measures on the risk of human Salmonella infection. A key consideration during the QMRA development was the characterization of variability between E.U. Member States (MSs), and therefore a generic MS model was developed that accounts for differences in pig production, slaughterhouse practices, and consumption patterns. To demonstrate the parameterization of the model, four case study MSs were selected that illustrate the variability in production of pork meat and products across MSs. For the case study MSs the average probability of illness was estimated to be between 1 in 100,000 and 1 in 10 million servings given consumption of one of the three product types considered (pork cuts, minced meat, and fermented ready-to-eat sausages). Further analyses of the farm-to-consumption QMRA suggest that the vast majority of human risk derives from infected pigs with a high concentration of Salmonella in their feces (≥10(4) CFU/g). Therefore, it is concluded that interventions should be focused on either decreasing the level of Salmonella in the feces of infected pigs, the introduction of a control step at the abattoir to reduce the transfer of feces to the exterior of the pig, or a control step to reduce the level of Salmonella on the carcass post-evisceration.
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Affiliation(s)
- Emma L Snary
- Department of Epidemiological Sciences, Animal and Plant Health Agency (APHA) Weybridge, New Haw, Addlestone, Surrey, UK
| | - Arno N Swart
- RIVM - Centre for Infectious Disease Control, Bilthoven, The Netherlands
| | - Robin R L Simons
- Department of Epidemiological Sciences, Animal and Plant Health Agency (APHA) Weybridge, New Haw, Addlestone, Surrey, UK
| | - Ana Rita Calado Domingues
- Food-DTU - National Food Institute, Technical University of Denmark, Mørkhøj Bygade, Søborg, Denmark
| | - Hakan Vigre
- Food-DTU - National Food Institute, Technical University of Denmark, Mørkhøj Bygade, Søborg, Denmark
| | - Eric G Evers
- RIVM - Centre for Infectious Disease Control, Bilthoven, The Netherlands
| | - Tine Hald
- Food-DTU - National Food Institute, Technical University of Denmark, Mørkhøj Bygade, Søborg, Denmark
| | - Andrew A Hill
- Department of Epidemiological Sciences, Animal and Plant Health Agency (APHA) Weybridge, New Haw, Addlestone, Surrey, UK
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