Sentence examples for dengue models from inspiring English sources

Pooseh et al. [17] and Diethelm [18] introduced fractional dengue models.

We assessed the potential contribution of climate-driven, process-based dengue models and provide suggestions to improve their performance.

While the model creation technique is similar (except for these algorithmic changes) for all diseases, the final malaria model is not the same as the earlier dengue models.

The technique for creating the malaria model was similar to that for creating the dengue models, but the resulting malaria model was distinct.

Objective: We sought to identify major climatic influences on dengue virus ecology and to evaluate the ability of climate-based dengue models to describe associations between climate and dengue, simulate outbreaks, and project the impacts of climate change.

In contrast to previous dengue simulation models that use complicated container characteristics which need to be determined by field studies [ 15, 16, 18, 33], the approach adopted here is aimed at the use of geographic information system (GIS) data to estimate spatial distribution of mosquito habitats.

This study, in combination with several previous dengue modelling studies, highlights the importance of spatial and individual-based modelling approaches in order to account for local differences in mosquito and human density and differences in human movement behaviour depending on age and other factors [ 18, 31, 56].

In fact, the fractional approach generalizes the classical models of the dengue model.

A nonlinear mathematical dengue model with fractional order (gamma_{i}), (i=1,2,3), is formulated.

In Section 3, we ponder on the fractional order model linked with the dynamics of dengue model.

Garba et al. [22] considered a dengue model with standard incidence formulation undergoing the phenomenon of backward bifurcation.