The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery
Submitted: 13 June 2015
Accepted: 29 August 2015
Published: 4 November 2015
Accepted: 29 August 2015
Abstract Views: 2783
PDF: 958
HTML: 1192
HTML: 1192
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
- Manuela Signorini, Anna-Sofie Stensgaard, Michele Drigo, Giulia Simonato, Federica Marcer, Fabrizio Montarsi, Marco Martini, Rudi Cassini, Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling , Geospatial Health: Vol. 14 No. 1 (2019)
- Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan, Dynamic location model for designated COVID-19 hospitals in China , Geospatial Health: Vol. 19 No. 2 (2024)
- Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa, The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation , Geospatial Health: Vol. 19 No. 2 (2024)
- Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann, Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia , Geospatial Health: Vol. 20 No. 1 (2025)
- Zhang Zeng, Huomei Xiong, Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022 , Geospatial Health: Vol. 19 No. 2 (2024)
- Al Asyary, Aries Prasetyo, Tris Eryando, Yodi Mahendradhata, Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia , Geospatial Health: Vol. 14 No. 1 (2019)
- Felipa de Mello-Sampayo, Spatial heterogeneity of quality, use and spending on medicare for the elderly , Geospatial Health: Vol. 13 No. 1 (2018)
- Bart Roelofs, Gerd Weitkamp, Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping , Geospatial Health: Vol. 19 No. 2 (2024)
- Vestine Uwiringiyimana, Antonie Veldkamp, Sherif Amer, Stunting spatial pattern in Rwanda: An examination of the demographic, socio-economic and environmental determinants , Geospatial Health: Vol. 14 No. 2 (2019)
- Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo, A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico , Geospatial Health: Vol. 17 No. s1 (2022): Special issue on COVID-19
<< < 30 31 32 33 34 35 36 37 38 > >>
You may also start an advanced similarity search for this article.