ArticlePLoS neglected tropical diseases2024
Tick species diversity and potential distribution alternation of dominant ticks under different climate scenarios in Xinjiang, China.
Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Molecular Survey ofVeterinary sciences · 2026Article
- Species diversity, distribution and habitat suitability modeling of ixodid ticks infesting cattle in selected districts of the North Wollo Zone, northeast Ethiopia.Experimental & applied acarology · 2026Article
- Drivers of tick community structure in a rhinoceros meta-population in Kenya.International journal for parasitology. Parasites and wildlife · 2026Article
- Identification and distribution of hard tick species in Waglasta, Amhara, Ethiopia: modeling of local habitat suitability of dominant species.Parasitology research · 2026Article
- Ecological niche and rickettsial risk mapping ofFrontiers in cellular and infection microbiology · 2026Article
- Molecular characterization of livestock-associated ticks and tick-borne bacteria in Xinjiang, northwestern China.Parasites & vectors · 2025Article
- Molecular Study ofVeterinary sciences · 2025Article
- Metagenomic Detection of RNA Viruses ofMicroorganisms · 2025Article
- Expanding the molecular understanding of Theileria infections in cattle and yaks from Gansu and Qinghai, China.Parasitology research · 2025Article
- Molecular characterization of tick-borne bacterial and protozoan pathogens in parasitic ticks from Xinjiang, China.Parasites & vectors · 2025Article
- First Molecular Detection ofPathogens (Basel, Switzerland) · 2025Article
- Integrative morpho-molecular delineation of five medically significant tick species: facilitating precision-based vector surveillance.Frontiers in veterinary science · 2025Article
- Virome ofVirus evolution · 2025Article
- Impact of climate change on the tick-host-pathogen complex: distribution patterns, disease incidence, and host infestation.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025Review
- Genomic characterization of an emergingEmerging microbes & infections · 2024Article
- Review
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Abstract
Ticks are a hematophagous parasite and a vector of pathogens for numerous human and animal diseases of significant importance. The expansion of tick distribution and the increased risk of tick-borne diseases due to global climate change necessitates further study of the spatial distribution trend of ticks and their potential influencing factors. This study constructed a dataset of tick species distribution in Xinjiang for 60 years based on literature database retrieval and historical data collection (January 1963-January 2023). The distribution data were extracted, corrected, and deduplicated. The dominant tick species were selected for analysis using the MaxEnt model to assess their potential distribution in different periods under the current and BCC-CSM2.MR mode scenarios. The results indicated that there are eight genera and 48 species of ticks in 108 cities and counties of Xinjiang, with Hyalomma asiaticum, Rhipicephalus turanicus, Dermacentor marginatus, and Haemaphysalis punctatus being the top four dominant species. The MaxEnt model analysis revealed that the suitability areas of the four dominant ticks were mainly distributed in the north of Xinjiang, in areas such as Altay and Tacheng Prefecture. Over the next four periods, the medium and high suitable areas within the potential distribution range of the four tick species will expand towards the northwest. Additionally, new suitability areas will emerge in Altay, Changji Hui Autonomous Prefecture, and other local areas. The 60-year tick dataset in this study provides a map of preliminary tick distribution in Xinjiang, with a diverse array of tick species and distribution patterns throughout the area. In addition, the MaxEnt model revealed the spatial change characteristics and future distribution trend of ticks in Xinjiang, which can provide an instrumental data reference for tick monitoring and tick-borne disease risk prediction not only in the region but also in other countries participating in the Belt and Road Initiative.
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