Forecasting predictive performance across 2018 to 2021.

<p>Left: The DIR (Dengue Incidence Rate) time series (gold) for each department is shown alongside the posterior median estimate (forest green) for each observation, and the corresponding 95% credible intervals of the posterior predictive distributions (shaded grey) which were obtained by fitt...

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Bibliographic Details
Main Author:	Cathal Mills (16012807) (author)
Other Authors:	Christl A. Donnelly (8446860) (author)
Published:	2024
Subjects:	Biotechnology Ecology Cancer Science Policy Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified sustained drought conditions public health authorities latin american history including correct classification framework enabled representative worst dengue crises new dengue cases understand climatic drivers three endemic departments three coastal departments dir &# 8805 human dengue incidence dengue incidence rate model monthly incidence future dengue outbreaks peru </ p future outbreaks dengue incidence dengue outbreaks model framework dengue continues analysed dengue climatic relationships climatic influences specific indicator southern oscillation risk factors one month mitigate impacts inferred non forecast horizon false alarms extreme precipitation distribution across delayed effects based understanding based modelling analysis may 140 months
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Forecasting predictive performance across 2018 to 2021.

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