Spatial and Spatio-temporal Epidemiology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Spatial and socio-economic effects on malaria morbidity in children under 5 years in Malawi in 2012
Conclusion This study showed that malaria is a disease of poverty. Enhanced vegetation index was an important factor in malaria morbidity. The central region was identified as the area with greatest disease burden. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - December 11, 2015 Category: Epidemiology Source Type: research

Small area clustering of under-five children's mortality and associated factors using geo-additive Bayesian discrete-time survival model in Kersa HDSS, Ethiopia
Conclusion : This study reveals geographic patterns in rates of Under-five mortality in those selected small administrative regions and shows some important determinants of under-five mortality. More importantly, we observed clustering of under-five mortality, which indicates the importance of spatial effects and presentation of this clustering through maps that facilitates visuality and highlights differentials across geographical areas that would, otherwise, be overlooked in traditional data-analytic methods. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - December 11, 2015 Category: Epidemiology Source Type: research

Hierarchical spatial modelling of pneumonia prevalence when response outcome has misclassification error: applications to household data from Malawi
Publication date: Available online 1 December 2015 Source:Spatial and Spatio-temporal Epidemiology Author(s): Lawrence N. Kazembe, Mphatso S. Kamndaya Pneumonia remains a major cause of child mortality in less developed countries. However, the accuracy of its prevalence and burden remains a challenge because disease data is often based on self-reports, resulting in measurement error in a form of under- and over-reporting. We propose hierarchical disease mapping approaches that permit measurement error, through different prior distributions of sensitivity and specificity. Proposed models were used to evaluate spatia...
Source: Spatial and Spatio-temporal Epidemiology - December 11, 2015 Category: Epidemiology Source Type: research

An integrated Bayesian model for estimating the long-term health effects of air pollution by fusing modelled and measured pollution data: A case study of nitrogen dioxide concentrations in Scotland
Publication date: Available online 2 October 2015 Source:Spatial and Spatio-temporal Epidemiology Author(s): Guowen Huang, Duncan Lee, Marian Scott The long-term health effects of air pollution can be estimated using a spatio-temporal ecological study, where the disease data are counts of hospital admissions from populations in small areal units at yearly intervals. Spatially representative pollution concentrations for each areal unit are typically estimated by applying Kriging to data from a sparse monitoring network, or by computing averages over grid level concentrations from an atmospheric dispersion model. W...
Source: Spatial and Spatio-temporal Epidemiology - October 3, 2015 Category: Epidemiology Source Type: research

Comparing Children’s GPS Tracks with Geospatial Proxies for Exposure to Junk Food
This study conducts a GIS-based analysis of GPS tracks—‘activity spaces’—and 21 proxies for activity spaces (e.g. buffers, container approaches) for a sample of 526 children (ages 9-14) in London, Ontario, Canada. These measures are combined with a validated food environment database (including fast food and convenience stores) to create a series of junk food exposure estimates and quantify the errors resulting from use of different proxy methods. Results indicate that exposure proxies consistently underestimate exposure to junk foods by as much as 68%. This underestimation is important to policy development becaus...
Source: Spatial and Spatio-temporal Epidemiology - October 2, 2015 Category: Epidemiology Source Type: research