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Anthony Omar Donoso-Alvarado, Carmen Cruz Flores-Anchundia, Alma Mendoza, Ernesto A. Moya-Elizondo, Diego Portalanza, Freddy Zambrano-Gavilanes and Felipe R. Garcés-Fiallos
Physic nut (Jatropha curcas L.) has emerged as a promising fruit crop in Ecuador, but the recent identification of rust poses a potential threat to its productive development. This study focused on elucidating the morphological aspects of the basidiomyce...
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Matteo Castiello, Dajana Conte and Samira Iscaro
In this article, we analyze the spread of information on social media (Twitter) and purpose a strategy based on epidemiological models. It is well known that social media represent a strong tool to spread news and, in particular, fake news, due to the fa...
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Alexander Taranik,Sergey Lebedev,Igor Litvinenko,Grigory Baydin,Marina Belova,Olga Pavlenko,Elena Besova
Pág. 39 - 52
The paper analyzes the spread of COVID-19 in 2020-2021 in 8 regions of the Russian Federation: Moscow, Saint-Petersburg, Krasnodar Territory, Stavropol Territory, Bashkortostan Republic, Sverdlovsk Region, Krasnoyarsk Territory, and Primorye Territory. A...
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Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta and Gopal Nath
The World Health Organization labelled the new COVID-19 breakout a public health crisis of worldwide concern on 30 January 2020, and it was named the new global pandemic in March 2020. It has had catastrophic consequences on the world economy and well-be...
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Roberto Vega, Leonardo Flores and Russell Greiner
Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiological ...
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Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato and Giovanni Aloisio
Compartmental models have long been used in epidemiological studies for predicting disease spread. However, a major issue when using compartmental mathematical models concerns the time-invariant formulation of hyper-parameters that prevent the model from...
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Junchen He, Zhili Jin, Wei Wang and Yixiao Zhang
High concentrations of fine particulate matter (PM2.5) are well known to reduce environmental quality, visibility, atmospheric radiation, and damage the human respiratory system. Satellite-based aerosol retrievals are widely used to estimate surface PM2....
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Robson Marcelo Rossi, Marcos Benatti Antunes, Sandra Marisa Pelloso (Author)
Pág. e45642
The present study presents binary data modeling regarding 1.6% of neonatal deaths in 3,448 newborns from an epidemiological and observational study with a cross-sectional design, involving the retrospective analysis of 4,293 medical records of high-risk ...
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Paolo S. Valvo
The paper presents a phenomenological epidemiological model for the description and prediction of the time trends of COVID-19 deaths worldwide. A bimodal distribution function?defined as the mixture of two lognormal distributions?is assumed to model the ...
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Matteo Bo, Pietro Salizzoni, Marina Clerico and Riccardo Buccolieri
Background: Air pollution is a major global environmental risk factor. Since people spend most of their time indoors, the sole measure of outdoor concentrations is not sufficient to assess total exposure to air pollution. Therefore, the arising interest ...
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