id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-004957-erigjz4g	Robertson, Colin	Towards a geocomputational landscape epidemiology: surveillance, modelling, and interventions	2015-11-30		.txt	text/plain	7677	349	39	While landscape epidemiology studies have shed light on many aspects of disease distribution and risk differentials across geographies, new computational methods combined with new data sources such as citizen sensors, global spatial datasets, sensor networks, and growing availability and variety of satellite imagery offer opportunities for a more integrated approach to understanding these relationships. In practice, this step of analysis might be used to develop spatial variables that are used in a study aimed at the 'characterize the assemblage' step, or may be the Fig. 1 Framework for geocomputational landscape epidemiology which moves from lower level complexity of a describing patterns, b describing processes that interact with those patterns, c examining how patterns and processes contribute to disease risk and healthpromoting factors, and d evaluating final information products (maps or other) and link these to research gaps and knowledge uses GeoJournal (2017) 82:397-414 403 objective of analysis.	./cache/cord-004957-erigjz4g.txt	./txt/cord-004957-erigjz4g.txt