Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
Submitted: 29 March 2024
Accepted: 15 September 2024
Published: 23 October 2024
Accepted: 15 September 2024
Abstract Views: 286
PDF: 67
Supplementary Materials: 14
HTML: 8
Supplementary Materials: 14
HTML: 8
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
- Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz, Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance , Geospatial Health: Vol. 18 No. 2 (2023)
- Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima, Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology , Geospatial Health: Vol. 17 No. s1 (2022): Special issue on COVID-19
- Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian, Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda , Geospatial Health: Vol. 18 No. 1 (2023)
- Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa, Application of geo-spatial technology in schistosomiasis modelling in Africa: a review , Geospatial Health: Vol. 10 No. 2 (2015)
- Yaqi Wang, Zhiwei Wan, Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province , Geospatial Health: Vol. 17 No. 1 (2022)
- Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov, Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals , Geospatial Health: Vol. 11 No. 2 (2016)
- Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb, Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models , Geospatial Health: Vol. 19 No. 2 (2024)
- Gerardo Núñez Medina, Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020 , Geospatial Health: Vol. 17 No. 1 (2022)
You may also start an advanced similarity search for this article.