Spatial comparison of London’s three waves of Spanish Flu
Submitted: 7 August 2023
Accepted: 4 October 2023
Published: 19 October 2023
Accepted: 4 October 2023
Abstract Views: 881
PDF: 410
HTML: 197
HTML: 197
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
- Amornrat Luenam, Nattapong Puttanapong , Spatial association between COVID-19 incidence rate and nighttime light index , Geospatial Health: Vol. 17 No. s1 (2022): Special issue on COVID-19
- Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos, Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study , Geospatial Health: Vol. 12 No. 2 (2017)
- Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert, Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches , Geospatial Health: Vol. 10 No. 1 (2015)
- I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular, Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate , Geospatial Health: Vol. 17 No. s1 (2022): Special issue on COVID-19
- Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen, Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods , Geospatial Health: Vol. 15 No. 2 (2020)
- Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan, Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005 , Geospatial Health: Vol. 11 No. 1 (2016): Valencia Issue
- 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)
- Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng, Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system , Geospatial Health: Vol. 8 No. 2 (2014)
- 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
- Federica Giardina, Jonas Franke, Penelope Vounatsou, Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery , Geospatial Health: Vol. 10 No. 2 (2015)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.