Ecological niche modeling of Babesia sp infection in wildlife experimentally evaluated in questing Ixodes ricinus.
Submitted: 2 December 2019
Accepted: 4 February 2020
Published: 17 June 2020
Accepted: 4 February 2020
Abstract Views: 1329
PDF: 720
HTML: 64
HTML: 64
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett, Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events , Geospatial Health: Vol. 15 No. 2 (2020)
- Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams, Modelling recent and future climatic suitability for fasciolosis in Europe , Geospatial Health: Vol. 9 No. 2 (2015): GLOWORM Special Issue
- Michael Livingston, The ecology of domestic violence: the role of alcohol outlet density , Geospatial Health: Vol. 5 No. 1 (2010)
- Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang, Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China , Geospatial Health: Vol. 8 No. 1 (2013)
- Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel, Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 , Geospatial Health: Vol. 11 No. 2 (2016)
- Xiao Li, Amanda Staudt, Lung-Chang Chien, Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis , Geospatial Health: Vol. 11 No. 3 (2016)
- Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin, Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis , Geospatial Health: Vol. 17 No. 2 (2022)
- Kwang-Soo Lee, Kyeong-Jun Moon, Hospital distribution in a metropolitan city: assessment by a geographical information system grid modelling approach , Geospatial Health: Vol. 8 No. 2 (2014)
- Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné, Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire , Geospatial Health: Vol. 19 No. 2 (2024)
- Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri, Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution , Geospatial Health: Vol. 2 No. 2 (2008)
<< < 12 13 14 15 16 17 18 19 20 21 > >>
You may also start an advanced similarity search for this article.