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
- Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa, A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment , Geospatial Health: Vol. 19 No. 1 (2024)
- Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko, Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record , Geospatial Health: Vol. 15 No. 1 (2020)
- Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo, Spatial-temporal risk factors in the occurrence of rabies in Mexico , Geospatial Health: Vol. 19 No. 1 (2024)
- Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição, Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016 , Geospatial Health: Vol. 15 No. 2 (2020)
- Kazuki Ohashi, Kensuke Fujiwara, Takumi Tanikawa, Kyohei Bando, Tomohiro Aoki, Katsuhiko Ogasawara, Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan , Geospatial Health: Vol. 17 No. 1 (2022)
- Carla Dieci, Giovanni Rinaldi, Role of geography in the reorganization of the Italian National Health Service: Implementation of geographic information in the logistics and resilience of organizational structures , Geospatial Health: Vol. 17 No. 1 (2022)
- Ellen-Wien Augustijn-Beckers, Sherif Amer, Rob Lemmens, Robert Bergquist, Does the Geohealth domain require a body of knowledge? , Geospatial Health: Vol. 17 No. 2 (2022)
- Simon Nusinovici, Thierry Hoch, Stefan Widgren, Alain Joly, Ann Lindberg, François Beaudeau, Relative contributions of neighbourhood and animal movements to Coxiella burnetii infection in dairy cattle herds , Geospatial Health: Vol. 8 No. 2 (2014)
- Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee, Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea , Geospatial Health: Vol. 11 No. 2 (2016)
- Giuseppe Cringoli, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Maria Paola Maurelli, Francesco Di Pietro, Michele Frisiello, Salvatore Di Pietro, Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy , Geospatial Health: Vol. 2 No. 1 (2007)
<< < 24 25 26 27 28 29 30 31 32 33 > >>
You may also start an advanced similarity search for this article.