Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands
This study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variables and the prevalence of infection was constructed. Flukefind...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Parasite Epidemiology and Control |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405673123000466 |
| _version_ | 1797385192192606208 |
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| author | Daniel Alexis Zárate-Rendón David Godoy Padilla Samuel Pizarro Carcausto Alberto del Águila Eric Wetzel Javier Ñaupari Vásquez |
| author_facet | Daniel Alexis Zárate-Rendón David Godoy Padilla Samuel Pizarro Carcausto Alberto del Águila Eric Wetzel Javier Ñaupari Vásquez |
| author_sort | Daniel Alexis Zárate-Rendón |
| collection | DOAJ |
| description | This study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variables and the prevalence of infection was constructed. Flukefinder® coprological test were performed in samples from dairy cattle from 8 herds, during both the rainy and wet season. Grazing plots were geo-referenced to obtain information on environmental variables. Monthly temperature, monthly rainfall, elevation, slope, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized difference water index (NDWI), distance to rivers, urban areas and roads were obtained by using remote sensor images and ArcGIS®. Multilayer perceptron Artificial Neural Networks modeling were applied to construct a predictive model for the occurrence of fasciolosis, based on the relationship between environmental variables and level of infection. Kappa coefficient (k > 0.6) was used to evaluate concordance between observed and forecasted risk by the model. Coprological results demonstrated an average prevalence from 20% to 100%, in Matahuasi, and between 0 and 87.5%, in Baños. A model with a high level of concordance between predicted and observed infection risk (k = 0.77) was obtained, having as major predicting variables: slope, NDWI, NDVI and EVI. Fasciolosis risk was categorized as low (p < 20%), medium (20% < p < 50%) and high (p ≥ 50%) level. Using ArcGIS 10.4.1, risk maps were developed for each risk level of fasciolosis. Maps of fasciolosis occurrence showed that 87.2% of Matahuasi area presented a high risk for bovine fasciolosis during the dry season, and 76.6% in the wet season. In contrast, 21.9% of Baños area had a high risk of infection during the dry season and 12.1% during the wet season. In conclusion, our model showed areas with high risk for fasciolosis occurrence in both districts during both dry and rainy periods. Slope, NDWI, NDVI and EVI were the major predictors for fasciolosis occurrence. |
| first_indexed | 2024-03-08T21:50:36Z |
| format | Article |
| id | doaj.art-001281c40c5a4076b87a1d392ca90c81 |
| institution | Directory Open Access Journal |
| issn | 2405-6731 |
| language | English |
| last_indexed | 2024-03-08T21:50:36Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Parasite Epidemiology and Control |
| spelling | doaj.art-001281c40c5a4076b87a1d392ca90c812023-12-20T07:34:41ZengElsevierParasite Epidemiology and Control2405-67312023-11-0123e00329Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlandsDaniel Alexis Zárate-Rendón0David Godoy Padilla1Samuel Pizarro Carcausto2Alberto del Águila3Eric Wetzel4Javier Ñaupari Vásquez5Laboratorio de Parasitología, Departamento Académico de Nutrición, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima, Peru; Corresponding author at: Laboratorio de Parasitología, Departamento Académico de Nutrición, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Avenida La Universidad s/n, La Molina, Lima 12, Peru.Laboratorio de Parasitología, Departamento Académico de Nutrición, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima, PeruLaboratorio de Ecología y Utilización de Pastizales, Departamento Académico de Producción Animal, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima, PeruGlobal Health Initiative, Wabash College, 301 W Wabash Ave, Crawfordsville, IN 47933, USAGlobal Health Initiative, Wabash College, 301 W Wabash Ave, Crawfordsville, IN 47933, USALaboratorio de Ecología y Utilización de Pastizales, Departamento Académico de Producción Animal, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima, PeruThis study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variables and the prevalence of infection was constructed. Flukefinder® coprological test were performed in samples from dairy cattle from 8 herds, during both the rainy and wet season. Grazing plots were geo-referenced to obtain information on environmental variables. Monthly temperature, monthly rainfall, elevation, slope, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized difference water index (NDWI), distance to rivers, urban areas and roads were obtained by using remote sensor images and ArcGIS®. Multilayer perceptron Artificial Neural Networks modeling were applied to construct a predictive model for the occurrence of fasciolosis, based on the relationship between environmental variables and level of infection. Kappa coefficient (k > 0.6) was used to evaluate concordance between observed and forecasted risk by the model. Coprological results demonstrated an average prevalence from 20% to 100%, in Matahuasi, and between 0 and 87.5%, in Baños. A model with a high level of concordance between predicted and observed infection risk (k = 0.77) was obtained, having as major predicting variables: slope, NDWI, NDVI and EVI. Fasciolosis risk was categorized as low (p < 20%), medium (20% < p < 50%) and high (p ≥ 50%) level. Using ArcGIS 10.4.1, risk maps were developed for each risk level of fasciolosis. Maps of fasciolosis occurrence showed that 87.2% of Matahuasi area presented a high risk for bovine fasciolosis during the dry season, and 76.6% in the wet season. In contrast, 21.9% of Baños area had a high risk of infection during the dry season and 12.1% during the wet season. In conclusion, our model showed areas with high risk for fasciolosis occurrence in both districts during both dry and rainy periods. Slope, NDWI, NDVI and EVI were the major predictors for fasciolosis occurrence.http://www.sciencedirect.com/science/article/pii/S2405673123000466Fasciola hepaticaCattleGISRemote sensorsPeruCentral highlands |
| spellingShingle | Daniel Alexis Zárate-Rendón David Godoy Padilla Samuel Pizarro Carcausto Alberto del Águila Eric Wetzel Javier Ñaupari Vásquez Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands Parasite Epidemiology and Control Fasciola hepatica Cattle GIS Remote sensors Peru Central highlands |
| title | Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands |
| title_full | Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands |
| title_fullStr | Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands |
| title_full_unstemmed | Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands |
| title_short | Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands |
| title_sort | spatial analysis and risk mapping of fasciola hepatica infection in dairy cattle at the peruvian central highlands |
| topic | Fasciola hepatica Cattle GIS Remote sensors Peru Central highlands |
| url | http://www.sciencedirect.com/science/article/pii/S2405673123000466 |
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