Modeling the spatiotemporal questing density of Rhipicephalus bursa and Hyalomma lusitanicum in central-southern Spain: insights for tick-borne pathogen transmission risk DOI

Alfonso Peralbo‐Moreno,

Raúl Cuadrado‐Matías, Sara Baz‐Flores

и другие.

Опубликована: Апрель 22, 2025

Abstract Free-living ticks Rhipicephalus bursa and Hyalomma lusitanicum represent a significant risk to their hosts primarily due role as vectors of infectious diseases, with Crimean-Congo haemorrhagic fever an emerging public health concern in the Iberian Peninsula (IP). Both species are distributed across Peninsula, H. mainly central southern regions, R. throughout entire region. However, differences behaviour ecology both have been observed distribution ranges. Currently, factors determining spatiotemporal abundances two within areas remain unknown, well whether exist among populations. From 2004 2006 from 2019 2023, monthly/fortnightly samplings were conducted at eight sites regions central-southern Spain estimate variation questing density bursa. The temporal spatial modelled relation variations local biotic abiotic environmental conditions by employing generalized linear mixed models negative binomial for zero-inflated models. primary factor abundance pattern is seasonality, while influenced high habitat favourability red deer adequate humidity. result enables development maps species. Furthermore, could serve foundation constructing more precise predictive identify windows highest potential interactions between animals/humans lusitanicum, which may facilitate transmission tick-borne pathogens.

Язык: Английский

The Historical Baseline of Hard Tick Records in Spain (1985–2024) DOI Creative Commons
Agustín Estrada‐Peña, M. Habela,

Carlos Pradera

и другие.

Pathogens, Год журнала: 2025, Номер 14(2), С. 173 - 173

Опубликована: Фев. 9, 2025

Ticks are important vectors of pathogens, producing diseases in animals and humans. The planning information campaigns or prevention programs is heavily based on the knowledge highly detailed data tick distribution. This study reports unpublished distribution more than 30,000 specimens, collected by active surveys years 1985-2024 Spain, from 2285 1636 unique sites, providing coordinates with variable accuracy. report covers new records Dermacentor marginatus, reticulatus, Haemaphysalis punctata, sulcata, Hyalomma marginatum, lusitanicum, Ixodes ricinus, Rhipicephalus bursa, hibericus, sanguineus (either s.s. s.l.). Other species were sporadically collected. Many specimens have been re-examined for accurate identification according to current taxonomic views, mainly genus Rhipicephalus. We summarized this newly available using Köppen-Geiger climate classification. compilation pinpoints importance systematic monitoring ticks. It intended as baseline over which ongoing national collection program built order track long-term changes because land use changes, spread invasive vertebrates, trends.

Язык: Английский

Процитировано

0
Modelling the small spatial scale questing abundance of Hyalomma lusitanicum Koch, 1844 (Acari: Ixodidae), vector of Crimean-Congo haemorrhagic fever virus DOI

Alfonso Peralbo‐Moreno,

Raúl Cuadrado‐Matías, Sara Baz‐Flores

и другие.

International Journal for Parasitology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Modeling the spatiotemporal questing density of Rhipicephalus bursa and Hyalomma lusitanicum in central-southern Spain: insights for tick-borne pathogen transmission risk DOI

Alfonso Peralbo‐Moreno,

Raúl Cuadrado‐Matías, Sara Baz‐Flores

и другие.

Опубликована: Апрель 22, 2025

Abstract Free-living ticks Rhipicephalus bursa and Hyalomma lusitanicum represent a significant risk to their hosts primarily due role as vectors of infectious diseases, with Crimean-Congo haemorrhagic fever an emerging public health concern in the Iberian Peninsula (IP). Both species are distributed across Peninsula, H. mainly central southern regions, R. throughout entire region. However, differences behaviour ecology both have been observed distribution ranges. Currently, factors determining spatiotemporal abundances two within areas remain unknown, well whether exist among populations. From 2004 2006 from 2019 2023, monthly/fortnightly samplings were conducted at eight sites regions central-southern Spain estimate variation questing density bursa. The temporal spatial modelled relation variations local biotic abiotic environmental conditions by employing generalized linear mixed models negative binomial for zero-inflated models. primary factor abundance pattern is seasonality, while influenced high habitat favourability red deer adequate humidity. result enables development maps species. Furthermore, could serve foundation constructing more precise predictive identify windows highest potential interactions between animals/humans lusitanicum, which may facilitate transmission tick-borne pathogens.

Язык: Английский

Процитировано

0