Special Issue "Spatio-temporal Frameworks for Infectious Disease Epidemiology"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (31 May 2016) | Viewed by 76513
Interests: geographical health inequalities; spatial epidemiology; urban environments and health
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An established tradition in epidemiological research has been to identify spatial and spatio-temporal regularities in the spread of infectious disease, which might allow prediction of the eventual disease extent, or permit early intervention to prevent spread of the disease. Spatio-temporal diffusion has been considered both for historic diseases (bubonic plague in Medieval Europe), and for recent infectious disease outbreaks, such as the H1N1 pandemic, recurrent epidemics of dengue fever, and the spread of Ebola.
Spatiotemporal regularities and high-risk areas can be detected using measures of spatial, temporal and space-time clustering, and techniques such as empirical mode decomposition. GIS methods in general have a particular utility in describing and analyzing infectious disease incidence. Sophisticated mathematical and statistical techniques, including stochastic differential equations and Bayesian spatio-temporal modeling, have also been developed.
Underlying and modulating space-time patterns in infectious diffusion are a variety of environmental, climatic and socio-economic factors. For example, the incidence of dengue fever in tropical countries (and the high level of spatial clustering in such incidence) has been related both to urbanization, and climatic factors such as rainfall, temperature, and humidity.
In a longer time perspective, factors such as changing transport patterns, climate change, ecosystem disruption and the loss of biodiversity are also important for understanding and controlling infectious disease outbreaks. For example, increased air travel has been related to dengue dispersal, while deforestation has been linked to changing patterns of malaria and schistosomiasis.
This Special Issue invites contributions on the above and related themes.
Prof. Dr. Peter Congdon
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- spatiotemporal regularities
- space-time clustering
- spatio-temporal modeling
- infectious disease