A framework for quantifying the multisectoral burden of animal disease to support decision making
Animal diseases have wide-ranging impacts in multiple societal arenas, including agriculture, public health and the environment. These diseases cause significant economic losses for farmers, disrupt food security and present zoonotic risks to human populations. Additionally, they contribute to antim...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Veterinary Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2025.1476505/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832590795533713408 |
|---|---|
| author | Sara Lysholm Sara Lysholm Gemma L. Chaters Gemma L. Chaters Carlotta Di Bari Carlotta Di Bari Ellen C. Hughes Ellen C. Hughes Ben Huntington Ben Huntington Jonathan Rushton Jonathan Rushton Lian Thomas Lian Thomas |
| author_facet | Sara Lysholm Sara Lysholm Gemma L. Chaters Gemma L. Chaters Carlotta Di Bari Carlotta Di Bari Ellen C. Hughes Ellen C. Hughes Ben Huntington Ben Huntington Jonathan Rushton Jonathan Rushton Lian Thomas Lian Thomas |
| author_sort | Sara Lysholm |
| collection | DOAJ |
| description | Animal diseases have wide-ranging impacts in multiple societal arenas, including agriculture, public health and the environment. These diseases cause significant economic losses for farmers, disrupt food security and present zoonotic risks to human populations. Additionally, they contribute to antimicrobial resistance and a range of environmental issues such as greenhouse gas emissions. The societal and ecological costs of livestock diseases are frequently underrepresented or unaddressed in policy decisions and resource allocations. Social cost–benefit analysis (SCBA) offers a comprehensive framework to evaluate the broad impacts of animal diseases across different sectors. This approach aligns with the One Health concept, which seeks to integrate and optimize the health of humans, animals and the environment. Traditional economic evaluations often focus narrowly on profit maximization within the livestock sector, neglecting wider externalities such as public health and environmental impacts. In contrast, SCBA takes a multi-sectoral whole-system view, considering multiple factors to guide public and private sector investments toward maximizing societal benefits. This paper discusses three separate sector specific (Animal health, Human health, Environmental health) methodologies for quantifying the burden of animal diseases. It then discusses how these estimates can be combined to generate multisectoral estimates of the impacts of animal diseases on human societies and the environment using monetary values. Finally this paper explores how this framework can support the evaluation of interventions from a One Health perspective though SCBA. This integrated assessment framework supports informed decision-making and resource allocation, ultimately contributing to improved public health outcomes, enhanced animal welfare, and greater environmental sustainability. |
| format | Article |
| id | doaj-art-1b3f2cd89e86409a9d02480cf24c8652 |
| institution | Kabale University |
| issn | 2297-1769 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Veterinary Science |
| spelling | doaj-art-1b3f2cd89e86409a9d02480cf24c86522025-01-23T06:56:37ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692025-01-011210.3389/fvets.2025.14765051476505A framework for quantifying the multisectoral burden of animal disease to support decision makingSara Lysholm0Sara Lysholm1Gemma L. Chaters2Gemma L. Chaters3Carlotta Di Bari4Carlotta Di Bari5Ellen C. Hughes6Ellen C. Hughes7Ben Huntington8Ben Huntington9Jonathan Rushton10Jonathan Rushton11Lian Thomas12Lian Thomas13Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, SwedenAnimal and Human Health Program, Department of Biosciences, International Livestock Research Institute, Nairobi, KenyaCentre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Bailrigg, United KingdomLancaster Medical School, University of Lancaster, Lancaster, United KingdomDepartment of Epidemiology and Public Health, Sciensano, Brussels, BelgiumDepartment of Translational Physiology, Infectiology, and Public Health, Ghent University, Merelbeke, BelgiumGlobal Burden of Animal Diseases (GBADs) Programme, Liverpool, United KingdomDepartment of Livestock and One Health, University of Liverpool, Liverpool, United KingdomGlobal Burden of Animal Diseases (GBADs) Programme, Liverpool, United KingdomDepartment of Livestock and One Health, University of Liverpool, Liverpool, United KingdomGlobal Burden of Animal Diseases (GBADs) Programme, Liverpool, United KingdomDepartment of Livestock and One Health, University of Liverpool, Liverpool, United KingdomAnimal and Human Health Program, Department of Biosciences, International Livestock Research Institute, Nairobi, KenyaRoyal (Dick) School of Veterinary Studies (R(D)SVS), University of Edinburgh, Edinburgh, United KingdomAnimal diseases have wide-ranging impacts in multiple societal arenas, including agriculture, public health and the environment. These diseases cause significant economic losses for farmers, disrupt food security and present zoonotic risks to human populations. Additionally, they contribute to antimicrobial resistance and a range of environmental issues such as greenhouse gas emissions. The societal and ecological costs of livestock diseases are frequently underrepresented or unaddressed in policy decisions and resource allocations. Social cost–benefit analysis (SCBA) offers a comprehensive framework to evaluate the broad impacts of animal diseases across different sectors. This approach aligns with the One Health concept, which seeks to integrate and optimize the health of humans, animals and the environment. Traditional economic evaluations often focus narrowly on profit maximization within the livestock sector, neglecting wider externalities such as public health and environmental impacts. In contrast, SCBA takes a multi-sectoral whole-system view, considering multiple factors to guide public and private sector investments toward maximizing societal benefits. This paper discusses three separate sector specific (Animal health, Human health, Environmental health) methodologies for quantifying the burden of animal diseases. It then discusses how these estimates can be combined to generate multisectoral estimates of the impacts of animal diseases on human societies and the environment using monetary values. Finally this paper explores how this framework can support the evaluation of interventions from a One Health perspective though SCBA. This integrated assessment framework supports informed decision-making and resource allocation, ultimately contributing to improved public health outcomes, enhanced animal welfare, and greater environmental sustainability.https://www.frontiersin.org/articles/10.3389/fvets.2025.1476505/fullanimal healthdisease burdenenvironmental healthglobal burden of animal diseases programmeOne Healthpublic health |
| spellingShingle | Sara Lysholm Sara Lysholm Gemma L. Chaters Gemma L. Chaters Carlotta Di Bari Carlotta Di Bari Ellen C. Hughes Ellen C. Hughes Ben Huntington Ben Huntington Jonathan Rushton Jonathan Rushton Lian Thomas Lian Thomas A framework for quantifying the multisectoral burden of animal disease to support decision making Frontiers in Veterinary Science animal health disease burden environmental health global burden of animal diseases programme One Health public health |
| title | A framework for quantifying the multisectoral burden of animal disease to support decision making |
| title_full | A framework for quantifying the multisectoral burden of animal disease to support decision making |
| title_fullStr | A framework for quantifying the multisectoral burden of animal disease to support decision making |
| title_full_unstemmed | A framework for quantifying the multisectoral burden of animal disease to support decision making |
| title_short | A framework for quantifying the multisectoral burden of animal disease to support decision making |
| title_sort | framework for quantifying the multisectoral burden of animal disease to support decision making |
| topic | animal health disease burden environmental health global burden of animal diseases programme One Health public health |
| url | https://www.frontiersin.org/articles/10.3389/fvets.2025.1476505/full |
| work_keys_str_mv | AT saralysholm aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT saralysholm aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT gemmalchaters aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT gemmalchaters aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT carlottadibari aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT carlottadibari aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT ellenchughes aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT ellenchughes aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT benhuntington aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT benhuntington aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT jonathanrushton aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT jonathanrushton aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT lianthomas aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT lianthomas aframeworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT saralysholm frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT saralysholm frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT gemmalchaters frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT gemmalchaters frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT carlottadibari frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT carlottadibari frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT ellenchughes frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT ellenchughes frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT benhuntington frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT benhuntington frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT jonathanrushton frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT jonathanrushton frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT lianthomas frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking AT lianthomas frameworkforquantifyingthemultisectoralburdenofanimaldiseasetosupportdecisionmaking |