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Page 94             Swedberg et al. One Health Implement Res 2023;3:77-96  https://dx.doi.org/10.20517/ohir.2023.02

               In conclusion, our findings demonstrate the wider benefits of integrating IBCM into national policy in the
               Philippines. If implemented effectively, IBCM has the potential to guide judicious PEP administration,
               thereby improving cost-effectiveness and allowing the reallocation of funds to the animal health sector for
               dog vaccination - the most effective way to eliminate rabies. Moreover, IBCM can provide more accurate
               data on the circulation of rabies to inform control through mass dog vaccination and help achieve and
                                      [30]
               maintain rabies elimination .
               DECLARATIONS
               Acknowledgments
               We would like to thank all staff and officials at the Provincial Health Office, Regional Animal Disease
               Diagnostic Laboratory, Animal Bite Treatment Centers and their affiliated hospitals or Municipal Health
               Offices, Provincial Veterinary Office, Municipal Agricultural Offices, local veterinarians, and local
               government officials in the province of Oriental Mindoro. We are extremely grateful for their support,
               collaboration, and assistance in implementing IBCM, collecting data, and being advocacy champions for
               our research project. In particular, we would like to extend our gratitude to Dr. Alfredo Manglicmot,
               Andrew Peregrine Arellano, Dr. Dave Christopher Viñas, and Eric Dilag. This work was funded by the
               Medical Research Council (MR/R025649/1), the Philippines Council for Health Research and Development
               and Wellcome (207569/Z/17/Z, 224520/Z/21/Z). SM is funded by a University of Edinburgh Chancellor’s
               Fellowship. CS was funded by the joint University of Glasgow and University of Edinburgh doctoral
               training programme in One Health. This manuscript is based on Chapter 4 of the first author’s (CS)
               doctoral dissertation (Swedberg, 2023), written under the supervision of KH.

               Authors’ contributions
               Conceptualization, methodology, writing - original draft, formal analysis, visualization: Swedberg C
               Project administration, supervision, conceptualization, methodology, writing - original draft, formal
               analysis, funding acquisition: Hampson K
               Project administration, methodology, investigation, funding acquisition: Miranda MEG
               Conceptualization, methodology: Bautista C
               Investigation: Anderson D, Maniszewska K
               Investigation, resources, project administration: Basa-Tulio M, Cruz VDD, Maestro J, Manalo D,
               Manzanilla DR, Pablo-Abarquez S, Telmo SVM, Yuson M
               Supervision, writing - review and editing: Chng NR, Mazeri S,  Mellanby RJ
               Data curation, investigation: Kundegorski M
               Writing - review and editing, project administration: Quiambao B
               Writing - review and editing: Trotter C


               Availability of data and materials
               De-identified data and R programming code to replicate analyses are provided via the GitHub repository:
               https://github.com/boydorr/OrMin_IBCM_decision_tree.

               Financial support and sponsorship
               This work was funded by the Medical Research Council (MR/R025649/1), the Philippines Council for
               Health Research and Development and Wellcome (207569/Z/17/Z, 224520/Z/21/Z). Mazeri S is funded by a
               University of Edinburgh Chancellor’s Fellowship. Swedberg C was funded by the joint University of
               Glasgow and University of Edinburgh doctoral training programme in One Health.
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