Results 11 to 20 of about 23,359 (75)

A flexible smoother adapted to censored data with outliers and its application to SARS-CoV-2 monitoring in wastewater [PDF]

arXiv, 2021
A sentinel network, Ob\'epine, has been designed to monitor SARS-CoV-2 viral load in wastewaters arriving at wastewater treatment plants (WWTPs) in France as an indirect macro-epidemiological parameter. The sources of uncertainty in such monitoring system are numerous and the concentration measurements it provides are left-censored and contain outliers,
arxiv  

Docking study for Protein Nsp-12 of SARS-CoV with Betalains and Alfa-Bisabolol [PDF]

arXiv, 2020
The present Health Crisis tests the response of modern science and medicine to finding treatment for a new COVID-19 disease. The presentation on the world stage of antivirals such as remdesivir, obeys to the continuous investigation of biologically active molecules with multiple theoretical, computational and experimental tools.
arxiv  

The emergence of a virus variant: dynamics of a competition model with cross-immunity time-delay validated by wastewater surveillance data for COVID-19 [PDF]

arXiv, 2022
We consider the dynamics of a virus spreading through a population that produces a mutant strain with the ability to infect individuals that were infected with the established strain. Temporary cross-immunity is included using a time delay, but is found to be a harmless delay.
arxiv  

Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World [PDF]

arXiv, 2020
The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. This resulted in the shutdown of all economic activity and accordingly the production at manufacturing plants across most sectors was halted. While there is an urgency to resume production, there is an even greater need to ensure the safety of ...
arxiv  

How a Virus Circumvents Energy Barriers to Form Symmetric Shells [PDF]

arXiv, 2020
Previous self-assembly experiments on a model icosahedral plant virus have shown that, under physiological conditions, capsid proteins initially bind to the genome through an en masse mechanism and form nucleoprotein complexes in a disordered state, which raises the questions as to how virions are assembled into a highly ordered structure in the host ...
arxiv  

Mathematical modeling for sustainable aphid control in agriculture via intercropping [PDF]

, 2019
Agricultural losses to pest represent an important challenge in a global warming scenario. Intercropping is an alternative farming practice that promotes pest control without the use of chemical pesticides. Here we develop a mathematical model to study epidemic spreading and control in intercropped agricultural fields as a sustainable pest management ...
arxiv   +1 more source

Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case [PDF]

arXiv, 2019
In this chapter, an application of Mathematical Epidemiology to crop vector-borne diseases is presented to investigate the interactions between crops, vectors, and virus. The main illustrative example is the cassava mosaic disease (CMD). The CMD virus has two routes of infection: through vectors and also through infected crops.
arxiv  

Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2 [PDF]

arXiv, 2020
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used and misused to characterize the transmissibility of the virus, hides the fact that transmission is stochastic, is dominated by a small number of individuals, and is ...
arxiv  

Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models [PDF]

arXiv, 2016
It is well recognised that animal and plant pathogens form complex ecological communities of interacting organisms within their hosts. Although community ecology approaches have been applied to determine pathogen interactions at the within-host scale, methodologies enabling robust inference of the epidemiological impact of pathogen interactions are ...
arxiv  

Image Classification for CSSVD Detection in Cacao Plants [PDF]

arXiv
The detection of diseases within plants has attracted a lot of attention from computer vision enthusiasts. Despite the progress made to detect diseases in many plants, there remains a research gap to train image classifiers to detect the cacao swollen shoot virus disease or CSSVD for short, pertinent to cacao plants. This gap has mainly been due to the
arxiv