Academic Journal
View in EDS

Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.

Bibliographic Details
Title: Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.
Authors: Burke TA; Department for Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany. thomas.burke@uni-goettingen.de., Risius A; Department for Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany.; Department of Nutrition, Division of Sustainable Nutrition and Distribution, University of Applied Sciences Fulda, Leipzigerstr. 123, 36037, Fulda, Germany.
Source: BMC public health [BMC Public Health] 2026 Oct 03; Vol. 26 (1). Date of Electronic Publication: 2026 Oct 03.
Publication Type: Journal Article; Scoping Review
Language: English
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
Imprint Name(s): Original Publication: London : BioMed Central, [2001-
MeSH Terms: Agriculture* , Food Supply* , Models, Theoretical* , One Health*, Humans
Abstract: Background: Increasingly, the One Health approach must be applied to a changing food system to simultaneously support nutritional, infectious disease, and environmental outcomes. Successful interventions by public health authorities will require quantitative modelling for evaluating trade-offs and prioritization. Herein, we reviewed methodologies for One Health modelling relevant to the food system and proposed a framework for supporting international and national One Health initiatives within governmental institutions.
Methods: This study first identified an operational scope of One Health by reviewing the One Health Joint Plan of Action (OH-JPA) for proposed activities related to the food system. Then we cross-referenced their implementation within the Group of 20 countries through a review of their publicly available One Health resources. We next conducted a PRIMSA scoping review on One Health quantitative modelling with relevance to the food system from 2021 to 2026 to determine interdisciplinary collaboration, data types, and modelling methodologies. Lastly, we developed a conceptual framework for modelling within One Health initiatives involving the food system.
Results: We found a narrow scope of institutional initiatives at the intersection of One Health and the food system. The activities proposed in the OH-JPA and executed in G20 governments focused on coordination, interoperability, and data sharing to support programs on antimicrobial resistance, zoonoses, and vector-borne diseases. The scoping review produced 129 relevant One Health research articles. In addition to epidemiologic data, One Health modelling used agricultural, geospatial, and ecological data for supporting food system topics. Quantitative modelling approaches either used heterogenous data, incorporated mixed effects, or integrated multiple models for scenario analysis. We proposed a modular framework for the operationalization of modelling in institutions to support interdisciplinary collaboration between food systems and One Health research.
Conclusions: One Health is a holistic approach, but in practice is narrowly implemented. Quantitative modelling in One Health reflects the complex dynamics in the animal-human-environment interface. Infrastructure for genomic, geospatial, and agricultural data would facilitate interdisciplinary modelling approaches beneficial for One Health in the food system.
(© 2026. The Author(s).)
Competing Interests: Declarations. Ethics approval and consent to participate: As a scoping review and conceptual paper, ethical approval for this research was not needed and consents to participate were not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
References: Microorganisms. 2025 Dec 05;13(12):. (PMID: 41471975)
Prev Vet Med. 2011 Sep 1;101(3-4):148-56. (PMID: 20832879)
One Health. 2024 Apr 10;18:100727. (PMID: 38628630)
Sci Rep. 2022 Nov 19;12(1):19967. (PMID: 36402889)
BMC Health Serv Res. 2023 Dec 15;23(1):1416. (PMID: 38102620)
One Health. 2016 Nov 16;3:5-10. (PMID: 28616496)
Nature. 2018 Oct;562(7728):519-525. (PMID: 30305731)
Lancet Planet Health. 2018 Oct;2(10):e451-e461. (PMID: 30318102)
Isis. 2023 Sep;114(Suppl 1):S26-S49. (PMID: 37808219)
Sci One Health. 2023 Nov 04;2:100051. (PMID: 39077050)
Lancet. 2019 Feb 2;393(10170):447-492. (PMID: 30660336)
Animals (Basel). 2023 Sep 18;13(18):. (PMID: 37760355)
One Health. 2025 Jun 11;21:101104. (PMID: 40599645)
Philos Trans R Soc Lond B Biol Sci. 2017 Jul 19;372(1725):. (PMID: 28584172)
Sci Adv. 2022 Nov 4;8(44):eadd6681. (PMID: 36322670)
Lancet. 2025 Aug 2;406(10502):501-570. (PMID: 40683291)
Front Vet Sci. 2024 Jul 25;11:1415423. (PMID: 39119353)
BMC Infect Dis. 2023 Nov 6;23(1):764. (PMID: 37932678)
Parasit Vectors. 2025 Nov 19;18(1):472. (PMID: 41257957)
Euro Surveill. 2026 Apr;31(16):. (PMID: 42141884)
J Nutr. 2025 Jun 30;:. (PMID: 40602723)
PLoS Comput Biol. 2024 Feb 21;20(2):e1011375. (PMID: 38381804)
Ann Intern Med. 2018 Oct 2;169(7):467-473. (PMID: 30178033)
Int J Health Policy Manag. 2022 Apr 01;11(4):409-413. (PMID: 32702802)
One Health. 2022 Nov 19;15:100464. (PMID: 36561708)
One Health. 2017 Mar 24;3:44-50. (PMID: 28616503)
Lancet Planet Health. 2023 Apr;7(4):e291-e303. (PMID: 37019570)
JMIR Public Health Surveill. 2025 Sep 10;11:e68437. (PMID: 40929714)
J Adv Res. 2026 Apr;82:657-666. (PMID: 40669598)
One Health. 2025 Oct 11;21:101238. (PMID: 41141933)
Grant Information: 01EA2209 Bundesministerium für Bildung und Forschung
Contributed Indexing: Keywords: Epidemiology; Food; Foodborne; Modelling; One Health; Systems
Entry Date(s): Date Created: 20261003 Date Completed: 20261003 Latest Revision: 20261005
Update Code: 20261006
PubMed Central ID: PMC13633621
DOI: 10.1186/s12889-026-29666-2
PMID: 42829435
Database: MEDLINE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:cmedm&genre=article&issn=14712458&ISBN=&volume=26&issue=1&date=20261003&spage=&pages=&title=BMC public health&atitle=Interdisciplinary%20modelling%20approaches%20for%20One%20Health%20in%20agri-food%20systems%3A%20a%20scoping%20review%20and%20conceptual%20analysis.&aulast=Burke%20TA&id=DOI:10.1186/s12889-026-29666-2
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: cmedm
DbLabel: MEDLINE
An: 42829435
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Burke+TA%22">Burke TA</searchLink>; Department for Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany. thomas.burke@uni-goettingen.de.<br /><searchLink fieldCode="AU" term="%22Risius+A%22">Risius A</searchLink>; Department for Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany.; Department of Nutrition, Division of Sustainable Nutrition and Distribution, University of Applied Sciences Fulda, Leipzigerstr. 123, 36037, Fulda, Germany.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100968562%22">BMC public health</searchLink> [BMC Public Health] 2026 Oct 03; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Oct 03.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Scoping Review
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968562 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2458 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712458%22">14712458 </searchLink><i>NLM ISO Abbreviation: </i>BMC Public Health <i>Subsets: </i>MEDLINE
– Name: PublisherInfo
  Label: Imprint Name(s)
  Group: PubInfo
  Data: <i>Original Publication</i>: London : BioMed Central, [2001-
– Name: SubjectMESH
  Label: MeSH Terms
  Group: Su
  Data: <searchLink fieldCode="MM" term="%22Agriculture%22">Agriculture*</searchLink> <br /><searchLink fieldCode="MM" term="%22Food+Supply%22">Food Supply*</searchLink> <br /><searchLink fieldCode="MM" term="%22Models%2C+Theoretical%22">Models, Theoretical*</searchLink> <br /><searchLink fieldCode="MM" term="%22One+Health%22">One Health*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Increasingly, the One Health approach must be applied to a changing food system to simultaneously support nutritional, infectious disease, and environmental outcomes. Successful interventions by public health authorities will require quantitative modelling for evaluating trade-offs and prioritization. Herein, we reviewed methodologies for One Health modelling relevant to the food system and proposed a framework for supporting international and national One Health initiatives within governmental institutions.<br />Methods: This study first identified an operational scope of One Health by reviewing the One Health Joint Plan of Action (OH-JPA) for proposed activities related to the food system. Then we cross-referenced their implementation within the Group of 20 countries through a review of their publicly available One Health resources. We next conducted a PRIMSA scoping review on One Health quantitative modelling with relevance to the food system from 2021 to 2026 to determine interdisciplinary collaboration, data types, and modelling methodologies. Lastly, we developed a conceptual framework for modelling within One Health initiatives involving the food system.<br />Results: We found a narrow scope of institutional initiatives at the intersection of One Health and the food system. The activities proposed in the OH-JPA and executed in G20 governments focused on coordination, interoperability, and data sharing to support programs on antimicrobial resistance, zoonoses, and vector-borne diseases. The scoping review produced 129 relevant One Health research articles. In addition to epidemiologic data, One Health modelling used agricultural, geospatial, and ecological data for supporting food system topics. Quantitative modelling approaches either used heterogenous data, incorporated mixed effects, or integrated multiple models for scenario analysis. We proposed a modular framework for the operationalization of modelling in institutions to support interdisciplinary collaboration between food systems and One Health research.<br />Conclusions: One Health is a holistic approach, but in practice is narrowly implemented. Quantitative modelling in One Health reflects the complex dynamics in the animal-human-environment interface. Infrastructure for genomic, geospatial, and agricultural data would facilitate interdisciplinary modelling approaches beneficial for One Health in the food system.<br /> (© 2026. The Author(s).)
– Name: Abstract
  Label: Competing Interests
  Group: Ab
  Data: Declarations. Ethics approval and consent to participate: As a scoping review and conceptual paper, ethical approval for this research was not needed and consents to participate were not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
– Name: Ref
  Label: References
  Group: RefInfo
  Data: Microorganisms. 2025 Dec 05;13(12):. (PMID: <searchLink fieldCode="PM" term="%2241471975%22">41471975)</searchLink><br />Prev Vet Med. 2011 Sep 1;101(3-4):148-56. (PMID: <searchLink fieldCode="PM" term="%2220832879%22">20832879)</searchLink><br />One Health. 2024 Apr 10;18:100727. (PMID: <searchLink fieldCode="PM" term="%2238628630%22">38628630)</searchLink><br />Sci Rep. 2022 Nov 19;12(1):19967. (PMID: <searchLink fieldCode="PM" term="%2236402889%22">36402889)</searchLink><br />BMC Health Serv Res. 2023 Dec 15;23(1):1416. (PMID: <searchLink fieldCode="PM" term="%2238102620%22">38102620)</searchLink><br />One Health. 2016 Nov 16;3:5-10. (PMID: <searchLink fieldCode="PM" term="%2228616496%22">28616496)</searchLink><br />Nature. 2018 Oct;562(7728):519-525. (PMID: <searchLink fieldCode="PM" term="%2230305731%22">30305731)</searchLink><br />Lancet Planet Health. 2018 Oct;2(10):e451-e461. (PMID: <searchLink fieldCode="PM" term="%2230318102%22">30318102)</searchLink><br />Isis. 2023 Sep;114(Suppl 1):S26-S49. (PMID: <searchLink fieldCode="PM" term="%2237808219%22">37808219)</searchLink><br />Sci One Health. 2023 Nov 04;2:100051. (PMID: <searchLink fieldCode="PM" term="%2239077050%22">39077050)</searchLink><br />Lancet. 2019 Feb 2;393(10170):447-492. (PMID: <searchLink fieldCode="PM" term="%2230660336%22">30660336)</searchLink><br />Animals (Basel). 2023 Sep 18;13(18):. (PMID: <searchLink fieldCode="PM" term="%2237760355%22">37760355)</searchLink><br />One Health. 2025 Jun 11;21:101104. (PMID: <searchLink fieldCode="PM" term="%2240599645%22">40599645)</searchLink><br />Philos Trans R Soc Lond B Biol Sci. 2017 Jul 19;372(1725):. (PMID: <searchLink fieldCode="PM" term="%2228584172%22">28584172)</searchLink><br />Sci Adv. 2022 Nov 4;8(44):eadd6681. (PMID: <searchLink fieldCode="PM" term="%2236322670%22">36322670)</searchLink><br />Lancet. 2025 Aug 2;406(10502):501-570. (PMID: <searchLink fieldCode="PM" term="%2240683291%22">40683291)</searchLink><br />Front Vet Sci. 2024 Jul 25;11:1415423. (PMID: <searchLink fieldCode="PM" term="%2239119353%22">39119353)</searchLink><br />BMC Infect Dis. 2023 Nov 6;23(1):764. (PMID: <searchLink fieldCode="PM" term="%2237932678%22">37932678)</searchLink><br />Parasit Vectors. 2025 Nov 19;18(1):472. (PMID: <searchLink fieldCode="PM" term="%2241257957%22">41257957)</searchLink><br />Euro Surveill. 2026 Apr;31(16):. (PMID: <searchLink fieldCode="PM" term="%2242141884%22">42141884)</searchLink><br />J Nutr. 2025 Jun 30;:. (PMID: <searchLink fieldCode="PM" term="%2240602723%22">40602723)</searchLink><br />PLoS Comput Biol. 2024 Feb 21;20(2):e1011375. (PMID: <searchLink fieldCode="PM" term="%2238381804%22">38381804)</searchLink><br />Ann Intern Med. 2018 Oct 2;169(7):467-473. (PMID: <searchLink fieldCode="PM" term="%2230178033%22">30178033)</searchLink><br />Int J Health Policy Manag. 2022 Apr 01;11(4):409-413. (PMID: <searchLink fieldCode="PM" term="%2232702802%22">32702802)</searchLink><br />One Health. 2022 Nov 19;15:100464. (PMID: <searchLink fieldCode="PM" term="%2236561708%22">36561708)</searchLink><br />One Health. 2017 Mar 24;3:44-50. (PMID: <searchLink fieldCode="PM" term="%2228616503%22">28616503)</searchLink><br />Lancet Planet Health. 2023 Apr;7(4):e291-e303. (PMID: <searchLink fieldCode="PM" term="%2237019570%22">37019570)</searchLink><br />JMIR Public Health Surveill. 2025 Sep 10;11:e68437. (PMID: <searchLink fieldCode="PM" term="%2240929714%22">40929714)</searchLink><br />J Adv Res. 2026 Apr;82:657-666. (PMID: <searchLink fieldCode="PM" term="%2240669598%22">40669598)</searchLink><br />One Health. 2025 Oct 11;21:101238. (PMID: <searchLink fieldCode="PM" term="%2241141933%22">41141933)</searchLink>
– Name: GrantInfo
  Label: Grant Information
  Group: Grant
  Data: 01EA2209 Bundesministerium für Bildung und Forschung
– Name: SubjectMinor
  Label: Contributed Indexing
  Group:
  Data: <i>Keywords: </i>Epidemiology; Food; Foodborne; Modelling; One Health; Systems
– Name: DateEntry
  Label: Entry Date(s)
  Group: Date
  Data: <i>Date Created: </i>20261003 <i>Date Completed: </i>20261003 <i>Latest Revision: </i>20261005
– Name: DateUpdate
  Label: Update Code
  Group: Date
  Data: 20261006
– Name: PubmedCentralID
  Label: PubMed Central ID
  Group: ID
  Data: PMC13633621
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1186/s12889-026-29666-2
– Name: AN
  Label: PMID
  Group: ID
  Data: 42829435
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=cmedm&AN=42829435
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s12889-026-29666-2
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Agriculture
        Type: general
      – SubjectFull: Food Supply
        Type: general
      – SubjectFull: Models, Theoretical
        Type: general
      – SubjectFull: One Health
        Type: general
    Titles:
      – TitleFull: Interdisciplinary modelling approaches for One Health in agri-food systems: a scoping review and conceptual analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Burke TA
      – PersonEntity:
          Name:
            NameFull: Risius A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 10
              Text: 2026 Oct 03
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1471-2458
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMC public health
              Type: main
ResultId 1