id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-017995-azqjvxtu	Kwong, Kim-hung	Spatial Components in Disease Modelling	2010		.txt	text/plain	3117	174	47	Modelling of infectious diseases could help gain further understanding of their diffusion processes that provide knowledge on the detection of epidemics and decision making for future infection control measures. This research made an attempt to map different phases of the spatial diffusion of SARS in Hong Kong to identify the underlying spatial factors attributing to its transmission patterns. Socio-economic factors found statistically significant against SARS incidence included the following: c) percentage of population aged over 65, g) average number of rooms per household, and h) net residential density ( Table 1 ). Certain socio-economic factors (i.e., average number of rooms per household, percentage of elderly population, and net residential density) were found to correlate positively with the occurrence of SARS in Hong Kong, indicating their potential influence in the disease transmission. This research mapped different development phases of the SARS epidemic in Hong Kong and employed the Pearson's correlation to isolate environmental factors and socio-economic factors of significant pertinence to the disease.	./cache/cord-017995-azqjvxtu.txt	./txt/cord-017995-azqjvxtu.txt