Distribution of spatial random effects (Model 11); (a) map of means of the posterior distribution of the spatial structured random effect (in Model 11), (b) Map of significant means of the posterior distribution of the spatial structured random effect in Model 11.</p
We present a spatial variant of the time series susceptible-infectious-recovered (TSIR) stochastic p...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Spatial connectivity is an important consideration when modelling infectious disease data across a g...
Maps of some of the key input variables; (a) map of vaccination coverage at constituency level (in p...
BACKGROUND:Making inferences about measles distribution patterns at small area level is vital for mo...
BackgroundMaking inferences about measles distribution patterns at small area level is vital for mor...
Objective: The purpose of spatial modelling in animal and public health is three-fold: describing ex...
In epidemiologic studies, researchers are commonly interested in quantifying geospatial effects on t...
The objective of this chapter is to present the methodology of some of the models used in the area o...
Baptista, H., Congdon, P., Mendes, J. M., Rodrigues, A. M., Canhão, H., & Dias, S. S. (2020). Diseas...
A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...
Doctor of Philosophy in Statistics. University of KwaZulu-Natal, Pietermaritzburg 2017.In this thesi...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
[[abstract]]Global climate change and better transportation make infectious diseases spread much mor...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
We present a spatial variant of the time series susceptible-infectious-recovered (TSIR) stochastic p...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Spatial connectivity is an important consideration when modelling infectious disease data across a g...
Maps of some of the key input variables; (a) map of vaccination coverage at constituency level (in p...
BACKGROUND:Making inferences about measles distribution patterns at small area level is vital for mo...
BackgroundMaking inferences about measles distribution patterns at small area level is vital for mor...
Objective: The purpose of spatial modelling in animal and public health is three-fold: describing ex...
In epidemiologic studies, researchers are commonly interested in quantifying geospatial effects on t...
The objective of this chapter is to present the methodology of some of the models used in the area o...
Baptista, H., Congdon, P., Mendes, J. M., Rodrigues, A. M., Canhão, H., & Dias, S. S. (2020). Diseas...
A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...
Doctor of Philosophy in Statistics. University of KwaZulu-Natal, Pietermaritzburg 2017.In this thesi...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
[[abstract]]Global climate change and better transportation make infectious diseases spread much mor...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
We present a spatial variant of the time series susceptible-infectious-recovered (TSIR) stochastic p...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Spatial connectivity is an important consideration when modelling infectious disease data across a g...