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- W3176851928 abstract "Vector-borne diseases can usually be examined with a vector–host model like the [Formula: see text] model. This, however, depends on parameters that contain detailed information about the mosquito population that we usually do not know. For this reason, in this article, we reduce the [Formula: see text] model to an [Formula: see text] model with a time-dependent and periodic transmission rate [Formula: see text]. Since the living conditions of the mosquitos depend on the local weather conditions, meteorological data sets flow into the model in order to achieve a more realistic behavior. The developed [Formula: see text] model is adapted to existing data sets of hospitalized dengue cases in Jakarta (Indonesia) and Colombo (Sri Lanka) using numerical optimization based on Pontryagin’s maximum principle. A previous data analysis shows that the results of this parameter fit are within a realistic range and thus allow further investigations. Based on this, various simulations are carried out and the prediction quality of the model is examined." @default.
- W3176851928 created "2021-07-05" @default.
- W3176851928 creator A5022486001 @default.
- W3176851928 creator A5089604451 @default.
- W3176851928 date "2021-06-19" @default.
- W3176851928 modified "2023-10-16" @default.
- W3176851928 title "Simulation and prediction of dengue outbreaks based on an SIR model with a time-dependent transmission rate including meteorological data. An example for Colombo and Jakarta" @default.
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- W3176851928 doi "https://doi.org/10.1142/s179352452150073x" @default.
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