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Spatial transferability of an agent-based model to simulate Taenia solium control interventions

BACKGROUND: Models can be used to study and predict the impact of interventions aimed at controlling the spread of infectious agents, such as Taenia solium, a zoonotic parasite whose larval stage causes epilepsy and economic loss in many rural areas of the developing nations. To enhance the credibil...

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Autores principales: Pizzitutti, Francesco, Bonnet, Gabrielle, Gonzales-Gustavson, Eloy, Gabriël, Sarah, Pan, William K., Gonzalez, Armando E., Garcia, Hector H., O’Neal, Seth E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634186/
https://www.ncbi.nlm.nih.gov/pubmed/37941062
http://dx.doi.org/10.1186/s13071-023-06003-9
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author Pizzitutti, Francesco
Bonnet, Gabrielle
Gonzales-Gustavson, Eloy
Gabriël, Sarah
Pan, William K.
Gonzalez, Armando E.
Garcia, Hector H.
O’Neal, Seth E.
author_facet Pizzitutti, Francesco
Bonnet, Gabrielle
Gonzales-Gustavson, Eloy
Gabriël, Sarah
Pan, William K.
Gonzalez, Armando E.
Garcia, Hector H.
O’Neal, Seth E.
author_sort Pizzitutti, Francesco
collection PubMed
description BACKGROUND: Models can be used to study and predict the impact of interventions aimed at controlling the spread of infectious agents, such as Taenia solium, a zoonotic parasite whose larval stage causes epilepsy and economic loss in many rural areas of the developing nations. To enhance the credibility of model estimates, calibration against observed data is necessary. However, this process may lead to a paradoxical dependence of model parameters on location-specific data, thus limiting the model’s geographic transferability. METHODS: In this study, we adopted a non-local model calibration approach to assess whether it can improve the spatial transferability of CystiAgent, our agent-based model of local-scale T. solium transmission. The calibration dataset for CystiAgent consisted of cross-sectional data on human taeniasis, pig cysticercosis and pig serology collected in eight villages in Northwest Peru. After calibration, the model was transferred to a second group of 21 destination villages in the same area without recalibrating its parameters. Model outputs were compared to pig serology data collected over a period of 2 years in the destination villages during a trial of T. solium control interventions, based on mass and spatially targeted human and pig treatments. RESULTS: Considering the uncertainties associated with empirical data, the model produced simulated pre-intervention pig seroprevalences that were successfully validated against data collected in 81% of destination villages. Furthermore, the model outputs were able to reproduce validated pig seroincidence values in 76% of destination villages when compared to the data obtained after the interventions. The results demonstrate that the CystiAgent model, when calibrated using a non-local approach, can be successfully transferred without requiring additional calibration. CONCLUSIONS: This feature allows the model to simulate both baseline pre-intervention transmission conditions and the outcomes of control interventions across villages that form geographically homogeneous regions, providing a basis for developing large-scale models representing T. solium transmission at a regional level. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-023-06003-9.
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spelling pubmed-106341862023-11-10 Spatial transferability of an agent-based model to simulate Taenia solium control interventions Pizzitutti, Francesco Bonnet, Gabrielle Gonzales-Gustavson, Eloy Gabriël, Sarah Pan, William K. Gonzalez, Armando E. Garcia, Hector H. O’Neal, Seth E. Parasit Vectors Research BACKGROUND: Models can be used to study and predict the impact of interventions aimed at controlling the spread of infectious agents, such as Taenia solium, a zoonotic parasite whose larval stage causes epilepsy and economic loss in many rural areas of the developing nations. To enhance the credibility of model estimates, calibration against observed data is necessary. However, this process may lead to a paradoxical dependence of model parameters on location-specific data, thus limiting the model’s geographic transferability. METHODS: In this study, we adopted a non-local model calibration approach to assess whether it can improve the spatial transferability of CystiAgent, our agent-based model of local-scale T. solium transmission. The calibration dataset for CystiAgent consisted of cross-sectional data on human taeniasis, pig cysticercosis and pig serology collected in eight villages in Northwest Peru. After calibration, the model was transferred to a second group of 21 destination villages in the same area without recalibrating its parameters. Model outputs were compared to pig serology data collected over a period of 2 years in the destination villages during a trial of T. solium control interventions, based on mass and spatially targeted human and pig treatments. RESULTS: Considering the uncertainties associated with empirical data, the model produced simulated pre-intervention pig seroprevalences that were successfully validated against data collected in 81% of destination villages. Furthermore, the model outputs were able to reproduce validated pig seroincidence values in 76% of destination villages when compared to the data obtained after the interventions. The results demonstrate that the CystiAgent model, when calibrated using a non-local approach, can be successfully transferred without requiring additional calibration. CONCLUSIONS: This feature allows the model to simulate both baseline pre-intervention transmission conditions and the outcomes of control interventions across villages that form geographically homogeneous regions, providing a basis for developing large-scale models representing T. solium transmission at a regional level. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-023-06003-9. BioMed Central 2023-11-08 /pmc/articles/PMC10634186/ /pubmed/37941062 http://dx.doi.org/10.1186/s13071-023-06003-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pizzitutti, Francesco
Bonnet, Gabrielle
Gonzales-Gustavson, Eloy
Gabriël, Sarah
Pan, William K.
Gonzalez, Armando E.
Garcia, Hector H.
O’Neal, Seth E.
Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title_full Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title_fullStr Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title_full_unstemmed Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title_short Spatial transferability of an agent-based model to simulate Taenia solium control interventions
title_sort spatial transferability of an agent-based model to simulate taenia solium control interventions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634186/
https://www.ncbi.nlm.nih.gov/pubmed/37941062
http://dx.doi.org/10.1186/s13071-023-06003-9
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