Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context
Submitted: 30 July 2020
Accepted: 15 November 2020
Published: 11 March 2021
Accepted: 15 November 2020
Abstract Views: 2238
PDF: 768
HTML: 45
HTML: 45
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
- Ahmed Akakba, Belkacem Lahmar, Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria , Geospatial Health: Vol. 18 No. 2 (2023)
- Behzad Kiani, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Mastering geographically weighted regression: key considerations for building a robust model , Geospatial Health: Vol. 19 No. 1 (2024)
- Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó, A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina , Geospatial Health: Vol. 18 No. 2 (2023)
- Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla, Geospatial Health: achievements, innovations, priorities , Geospatial Health: Vol. 19 No. 2 (2024)
- Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek, Reducing bias in risk indices for COVID-19 , Geospatial Health: Vol. 17 No. s1 (2022): Special issue on COVID-19
- Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN), Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy , Geospatial Health: Vol. 17 No. 2 (2022)
- Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger, Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist , Geospatial Health: Vol. 2 No. 1 (2007)
- Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang, Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China , Geospatial Health: Vol. 18 No. 1 (2023)
- Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou, Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data , Geospatial Health: Vol. 10 No. 1 (2015)
- Michael T. Gebreslasie, A review of spatial technologies with applications for malaria transmission modelling and control in Africa , Geospatial Health: Vol. 10 No. 2 (2015)
<< < 11 12 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.