Spatial and temporal modelling for parasite transmission studies and risk assessment
Spatial and temporal modelling of parasite transmission and risk assessment require relevant spatial information at appropriate spatial and temporal scales.
Danson F.M., Armitage R.P., Marston C.G.
doaj +1 more source
Clustering multivariate spatial data based on local measures of spatial autocorrelation. [PDF]
A growing interest in clustering spatial data is emerging in several areas, from local economic development to epidemiology, from remote sensing data to environment analyses. However, methods and procedures to face such problem are still lacking.
Luca Scrucca
core
COSMOS, a spatially explicit model to simulate the epidemiology of Cosmopolites sordidus in banana fields [PDF]
In French West Indies, cyclones can cause severe damages to banana plants, and banana pests are thus confronted to a lack of resources. Here, we investigate with a spatial model the effect of a catastrophic disturbance, like a cyclone, on the demography ...
Bruchou, Claude +5 more
core
A pilot inference study for a beta-Bernoulli spatial scan statistic [PDF]
The Bernoulli spatial scan statistic is used to detect localised clusters in binary labelled point data, such as that used in spatial or spatio-temporal case/control studies.
Bath, P.A. +3 more
core
A sketch planning methodology for determining interventions for bicycle and pedestrian crashes: an ecological approach [PDF]
Bicycle and pedestrian safety planning have recently been gaining increased attention. With this focus, however, comes increased responsibilities for planning agencies and organizations tasked with evaluating and selecting safety interventions, a ...
Cottrill, C. +3 more
core
Background Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures.
Noreen Z. Siddiqui +6 more
doaj +1 more source
Spatial Lifecourse Epidemiology Reporting Standards [PDF]
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms.
Peng, Jia +35 more
openaire
The distribution of the economic activity in the Mediterranean axis. Identification of cluster by sectors of economic activity. [PDF]
Agglomeration economies play an important role in the explanation of the development and regional growth. For this reason, there exists a growing interest in the analysis of standards of co-localisation of the economic activities.
Ana Angulo +2 more
core
Using prior information to identify boundaries in disease risk maps [PDF]
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identified. The spatial structure in the risk map is typically represented by a set of random effects, which are modelled with a conditional autoregressive (CAR ...
Lee, Duncan
core

