Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran
Submitted: 7 June 2020
Accepted: 15 November 2020
Published: 11 May 2021
Accepted: 15 November 2020
Abstract Views: 1888
PDF: 721
HTML: 112
HTML: 112
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
- Rita Roquette, Marco Painho, Baltazar Nunes, Spatial epidemiology of cancer: a review of data sources, methods and risk factors , Geospatial Health: Vol. 12 No. 1 (2017)
- Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan, Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study , Geospatial Health: Vol. 18 No. 1 (2023)
- Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan, Spatial clustering of colorectal cancer in Malaysia , Geospatial Health: Vol. 18 No. 1 (2023)
- 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)
- Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato, Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019 , Geospatial Health: Vol. 18 No. 1 (2023)
- 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)
- Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo, Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry , Geospatial Health: Vol. 12 No. 1 (2017)
You may also start an advanced similarity search for this article.