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Chi Ma, Jianping Tao, Caifeng Tan, Wei Liu and Xia Li
As the media have continued to pay increasing attention to pig epidemic events, some local pig epidemic events may have a large degree of negative impact on the pork market and the whole pig industry chain, leading to pork price fluctuations. Strengtheni...
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Ahmad Zainudin, Amang Sudarsono, Kevin Prima Pambudi
Pág. 115 - 125
A DTN architecture consists of several nodes that are connected with high dynamic topology. The routing protocol is an important part which determine the DTN performance system. Although DTN is addressed to be tolerant of delay, a routing protocol with b...
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Xinyi Niu, Yufeng Yue, Xingang Zhou and Xiaohu Zhang
The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. During the Chinese New Year holiday, population outflow from Wuhan induced the spread of the epidemic to other cities in China. This study analyzed massive intercity mo...
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Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu
The COVID-19 pandemic has had a profound impact on people?s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI...
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Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, Sohaib K. M. Abujayyab, Emad Hamdi Mahmoud, Bassam Omar Ghanem and Amir H. Gandomi
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat the COVID-19 pandemic. This study assesses different uses and deployments of modern technology fo...
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Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra and Mayuren Candasamy
Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a great...
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Hao Huang, Di Li, Zenglin Han, Hao Zhang, Hongye Wang and Ye Duan
Based on the data of existing warehouse supermarkets in Liaoning Province, China, spatial autocorrelation analysis, kernel density analysis, composite correlation coefficient analysis and other methods have been adopted to analyze their spatial-temporal ...
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Zongyou Xia, Gonghao Duan and Ting Xu
Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the...
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András Bóta and Lauren Gardner
Modeling the spread of infections in networks is a well-studied and important field of research. Most infection and diffusion models require a real value or probability at the edges of the network as an input, but this is rarely available in real-life ap...
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Patrick Loola Bokonda, Moussa Sidibe, Nissrine Souissi and Khadija Ouazzani-Touhami
COVID-19 has raised the issue of fighting epidemics. We were able to realize that in this fight, countering the spread of the disease was the main goal and we propose to contribute to it. To achieve this, we propose an enriched model of Random Forest (RF...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Navid Mahdizadeh Gharakhanlou and Liliana Perez
Throughout history, pandemics have forced societies to think beyond typical management and control protocols. The main goals of this study were to simulate and understand the spatial dynamics of COVID-19 spread and assess the efficacy of two policy measu...
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Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni and Marialaura Previti
A real-time news spreading is now available for everyone, especially thanks to Online Social Networks (OSNs) that easily endorse gate watching, so the collective intelligence and knowledge of dedicated communities are exploited to filter the news flow an...
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Marialisa Scatá, Barbara Attanasio and Aurelio La Corte
Complex systems are fully described by the connectedness of their elements studying how these develop a collective behavior, interacting with each other following their inner features, and the structure and dynamics of the entire system. The forthcoming ...
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Kseniia Bazilevych, Ievgen Meniailov, Dmytro Chumachenko
Pág. 5 - 13
Subject: the use of the mathematical apparatus of neural networks for the scientific substantiation of anti-epidemic measures in order to reduce the incidence of diseases when making effective management decisions. Purpose: to apply cluster analysis, bas...
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Firda Rahmadani and Hyunsoo Lee
The proposed framework is the hybrid deep learning framework using the meta-population model and LSTM. It is expected to contribute to the effective control of COVID-19 infection.
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Md. Shahedur Rahman, Chayon Biswas, Polash Kumar Biswas, Md. Ashraful Kader, S. M. Nur Alam, Christian Sonne and Ki-Hyun Kim
Neisseria meningitidis is a commensal pathogen that causes infectious cerebrospinal disease in people of all ages. The multivariate role of six disease-causing polysaccharide serotypes is found to play a crucial role in developing vaccines (or general tr...
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Malen Etxeberria-Etxaniz, Santiago Alonso-Quesada and Manuel De la Sen
This paper investigates a susceptible-exposed-infectious-recovered (SEIR) epidemic model with demography under two vaccination effort strategies. Firstly, the model is investigated under vaccination of newborns, which is fact in a direct action on the re...
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Matteo Peditto, Simone Scapellato, Antonia Marcianò, Paola Costa and Giacomo Oteri
The COVID-19 outbreak has raised concerns about infection control all over the world. Among health workers, dentists are particularly exposed to the COVID-19 infection risk. The aim of this paper is to present a workflow to manage dental procedures alrea...
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Vikas Agarwal, Adriaan Louw and Emilio J. Puentedura
We describe the case of a 75-year-old female with chronic low back pain (CLBP), on opioids for more than 15 years. She presented with an acute episode of nausea, vomiting, abdominal pain, and shortness of breath. After a complete work-up, it was conclude...
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