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Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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LeonardoL87/dengue-dual-serotype-stochastic-model: dengue-dual-serotype-stochastic-model

Authors: LeonardoL87;

LeonardoL87/dengue-dual-serotype-stochastic-model: dengue-dual-serotype-stochastic-model

Abstract

Modeling Dual-Serotype Dengue Dynamics Under Climatic and Entomological Forcing This repository contains the source code and datasets required to reproduce the results presented in the manuscript: "Modeling Dual-Serotype Dengue Dynamics Under Climatic and Entomological Forcing: Insights from Southern Brazil" (Ref: rsif-2026-0198), submitted to the Journal of the Royal Society Interface. Overview The provided Python code implements a discrete-time stochastic compartmental model to simulate the transmission dynamics of two dengue serotypes. The model incorporates: Climatic Forcing: Daily temperature variations affecting transmission rates. Entomological Forcing: Premise Infestation Index (IIP) as a proxy for mosquito density. Biological Complexity: Antibody-Dependent Enhancement (ADE), temporary cross-immunity, and branching pathways for symptomatic ($I$) and asymptomatic ($A$) infections. Requirements The code is written in Python 3.8+. The following libraries are required: numpy scipy pandas matplotlib You can install the dependencies using: pip install -r requirements.txt

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average