2020
DOI: 10.3390/d12120484
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Cheilospirura hamulosa in the Rock Partridge (Alectoris graeca saxatilis): Epidemiological Patterns and Prediction of Parasite Distribution in France

Abstract: The rock partridge (Alectoris graeca saxatilis) is an alpine Galliform with high conservation value. Several factors, including parasitic helminths, play a role in population dynamics, and consequently in the conservation management of wild Galliformes. The aim of this study was to assess the epidemiological characteristics of Cheilospirura hamulosa (Nematoda, Acuarioidea) in the Rock partridge population in France. Machine learning modeling algorithms were applied to identify the environmental variables influ… Show more

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Cited by 9 publications
(6 citation statements)
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“…It is worth mentioning that, given the small scale of the study area and the low variability among the herd sites, we did not assess the environmental and climatic features associated with the risk of infection. In the context of animal disease surveillance, the application of spatial modelling has increasingly been employed to identify areas at high risk of pathogen circulation, providing valuable insights on the understanding of diseases epidemiology (Fanelli & Tizzani, 2020 ; Fanelli et al., 2020 ). Specifically, hotspot areas for CCHFV infection in humans have been detected in several countries, using spatial techniques, and incorporating abiotic and biotic risk factors which affect the tick density (Cuadrado‐Matías et al., 2021 ; Estrada‐Peña et al., 2008 ; Papa et al., 2013 ).…”
Section: Discussionmentioning
confidence: 99%
“…It is worth mentioning that, given the small scale of the study area and the low variability among the herd sites, we did not assess the environmental and climatic features associated with the risk of infection. In the context of animal disease surveillance, the application of spatial modelling has increasingly been employed to identify areas at high risk of pathogen circulation, providing valuable insights on the understanding of diseases epidemiology (Fanelli & Tizzani, 2020 ; Fanelli et al., 2020 ). Specifically, hotspot areas for CCHFV infection in humans have been detected in several countries, using spatial techniques, and incorporating abiotic and biotic risk factors which affect the tick density (Cuadrado‐Matías et al., 2021 ; Estrada‐Peña et al., 2008 ; Papa et al., 2013 ).…”
Section: Discussionmentioning
confidence: 99%
“…Also Esser et al [ 36 ] used geostatistical analyses to identify the areas at higher risk of CCHFV occurrence in Netherlands. Although spatial modelling has increasingly been employed as a support for decision makers and diseases surveillance [ [37] , [38] , [39] , [40] , [41] , [42] ], it requires quantitative (spatial) information, which is very rarely available, especially if large areas need to be covered. Considering this constrain, this study used a semi-quantitative risk assessment framework, which allows to incorporate not only environmental factors, influencing mainly vector suitability, but also data on livestock trade and proxy for wildlife cross-border movements.…”
Section: Discussionmentioning
confidence: 99%
“…With the aim of providing valuable insights on disease patterns, time-series analysis was performed, which is being widely implemented in the field of epidemiology (18)(19)(20)(21). For the purpose of this study, an outbreak was defined as one of more cases occurring in the same epidemiological unit and month.…”
Section: Methodsmentioning
confidence: 99%