Ensemble Forecasting of the Zika Space-TimeSpread with Topological Data Analysis [PDF]
Environmetrics, 2020, 2020 As per the records of theWorld Health Organization, the first formally reported incidence of Zika virus occurred in Brazil in May 2015. The disease then rapidly spread to other countries in Americas and East Asia, affecting more than 1,000,000 people. Zika virus is primarily transmitted through bites of infected mosquitoes of the species Aedes (Aedes ...
arxiv
An end-to-end assembly of the Aedes aegypti genome [PDF]
, 2016 We present an end-to-end genome assembly of a female Aedes aegypti mosquito, which spreads viral diseases such as yellow fever, dengue, chikungunya, and Zika to humans. The assembly is based on an earlier genome published in 2007 and improved in 2013.
arxiv +1 more source
Estimating the Size of Aedes aegypti Populations from Dengue Incidence Data: Implications for the Risk of Yellow Fever, Zika Virus and Chikungunya Outbreaks [PDF]
arXiv, 2017 In this paper we present a model to estimate the density of aedes mosquitoes in a community affected by dengue. The model is based on the fitting of a continuous function to the incidence of dengue infections, from which the density of infected mosquitoes is derived straightforwardly.
arxiv
Seasonality on the life cycle of Aedes aegypti mosquito and its effects on dengue outbreaks [PDF]
arXiv, 2016 Dengue is a vector-borne disease transmitted by the mosquito Aedes aegypti. It has been observed that its incidence is strongly influenced by temperature and other abiotic factors like rainfall and humidity. In this work we compare the effects of seasonality in temperature that affect the entomological parameters of the mosquito with precipitation that
arxiv
Free flight of the mosquito Aedes aegypti [PDF]
arXiv, 2012 High speed video observations of free flying male Aedes aegypti mosquitoes, the dengue and yellow fever vector, along with custom measurement methods, enable measurement of wingbeat frequency, body position and body orientation of mosquitoes during flight. We find these mosquitoes flap their wings at approximately 850 Hz.
arxiv
Monotonicity properties arising in a simple model of Wolbachia invasion for wild mosquito populations [PDF]
arXiv, 2020 In this paper, we propose a simplified bidimensional Wolbachia infestation model in a population of Aedes aegypti mosquitoes, preserving the main features associated with the biology of this species that can be found in higher-dimensional models.
arxiv
On the use of the sterile insect technique or the incompatible insect technique to reduce or eliminate mosquito populations [PDF]
arXiv, 2018 Vector control is critical to limit the circulation of vector-borne diseases like chikungunya, dengue or zika which have become important issues around the world. Among them the Sterile Insect Technique (SIT) and the Incompatible Insect Technique (IIT) recently aroused a renewed interest.
arxiv
Automatic Detection of Aedes aegypti Breeding Grounds Based on Deep Networks with Spatio-Temporal Consistency [PDF]
arXiv, 2020 Every year, the Aedes aegypti mosquito infects millions of people with diseases such as dengue, zika, chikungunya, and urban yellow fever. The main form to combat these diseases is to avoid mosquito reproduction by searching for and eliminating the potential mosquito breeding grounds. In this work, we introduce a comprehensive dataset of aerial videos,
arxiv
The invasive dynamics of Aedes aegypti mosquito in a heterogenous environment [PDF]
arXiv, 2017 A reaction-diffusion-advection model is proposed and investigated to understand the invasive dynamics of Aedes aegypti mosquitoes. The free boundary is introduced to model the expanding front of the invasive mosquitoes in a heterogenous environment. The threshold $R^D_0$ for the model with Dirichlet boundary condition is defined and the threshold $R ...
arxiv
Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks [PDF]
arXivWe present a method to convert weather data into probabilistic forecasts of Aedes aegypti abundance. The approach, which relies on the Aedes-AI suite of neural networks, produces weekly point predictions with corresponding uncertainty estimates. Once calibrated on past trap and weather data, the model is designed to use weather forecasts to estimate ...
arxiv