A statistical downscaling approach for generating high spatial resolution health risk maps: a case study of road noise and ischemic heart disease mortality in Melbourne, Australia

IF 3 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

International Journal of Health Geographics Pub Date : 2019-09-05 DOI:10.1186/s12942-019-0184-x

I. Hanigan, T. Chaston, B. Hinze, M. Dennekamp, B. Jalaludin, Y. Kinfu, G. Morgan

引用次数: 9

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生成高空间分辨率健康风险地图的统计降尺度方法:澳大利亚墨尔本道路噪声和缺血性心脏病死亡率的案例研究

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -

CiteScore

10.20

自引率

2.00%

发文量

审稿时长

12 weeks

期刊介绍： A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.