Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

Published: 20 December 2024
Abstract Views: 771
PDF: 165
Supplementary Materials: 43
HTML: 4
Supplementary Materials: 43
HTML: 4
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
- Yue-Jia Cheng, Jessie Norris, Chang-Jun Bao, Qi Liang, Jian-Li Hu, Ying Wu, Fen-Yang Tang, Wen-Dong Liu, Ke-Qin Ding, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen, Geographical information systems-based spatial analysis and implications for syphilis interventions in Jiangsu province, People's Republic of China , Geospatial Health: Vol. 7 No. 1 (2012)
- Monica Musio, Erik A. Sauleau, Nicole H. Augustin, Resources allocation in healthcare for cancer: a case study using generalised additive mixed models , Geospatial Health: Vol. 7 No. 1 (2012)
- Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira, Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach , Geospatial Health: Vol. 6 No. 1 (2011)
- Teresa M. Salgado, Rebekah Moles, Shalom I. Benrimoj, Fernando Fernandez-Llimos, Designing a model to minimize inequities in hemodialysis facilities distribution , Geospatial Health: Vol. 6 No. 1 (2011)
- Mathuros Tipayamongkholgul, Sunisa Lisakulruk, Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk , Geospatial Health: Vol. 6 No. 1 (2011)
- Subhash C. Arya, Nirmala Agarwal, Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk , Geospatial Health: Vol. 6 No. 1 (2011)
- Kun Yang, Le-Ping Sun, Yi-Xin Huang, Guo-Jing Yang, Feng Wu, De-Rong Hang, Wei Li, Jian-Feng Zhang, Yong-Sheng Liang, Xiao-Nong Zhou, A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system , Geospatial Health: Vol. 6 No. 2 (2012)
- Hassan M. Khormi, Lalit Kumar, Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment , Geospatial Health: Vol. 6 No. 2 (2012)
- Isabella Vilhena Freire Martins, Barbara Rauta de Avelar, Maria Julia Salim Pereira, Adevair Henrique da Fonseca, Application of a geographical information system approach for risk analysis of fascioliasis in southern EspÃrito Santo state, Brazil , Geospatial Health: Vol. 6 No. 3 (2012)
- Miguel Murguía-Romero, Rafael Jiménez-Flores, Rafael Villalobos-Molina, Adolfo René Méndez-Cruz, Estimating the geographical distribution of the prevalence of the metabolic syndrome in young Mexicans , Geospatial Health: Vol. 6 No. 3 (2012)
You may also start an advanced similarity search for this article.