40   Artículos

 
en línea
Yufeng Wang, Xue Chen and Feng Xue    
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jose Luis Garcia-Soidan, Raquel Leiros-Rodriguez, Manuel Isorna-Folgar and Vicente Romo-Perez    
(1) Background: The purpose of this study was to analyze the number of injuries in the canoe and kayak disciplines. (2) Methods: A cross-sectional and retrospective epidemiological study was conducted on a convenience sample of elite canoeists and kayake... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
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... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Alice Wang, Rozita Dara, Samira Yousefinaghani, Emily Maier and Shayan Sharif    
Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes. With both emerging and re-emerging infectious diseases increasing in number, mitigating the consequ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
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... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
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... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Luke Bergmann, Luis Fernando Chaves, David O?Sullivan and Robert G. Wallace    
The spread of COVID-19 is geographically uneven in agricultural regions. Explanations proposed include differences in occupational risks, access to healthcare, racial inequalities, and approaches to public health. Here, we additionally explore the impact... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Piotr A. Werner, Malgorzata Kesik-Brodacka, Karolina Nowak, Robert Olszewski, Mariusz Kaleta and David T. Liebers    
This article describes an original methodology for integrating global SIR-like epidemic models with spatial interaction models, which enables the forecasting of COVID-19 dynamics in Poland through time and space. Mobility level, estimated by the regional... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
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... ver más
Revista: Information    Formato: Electrónico

 
en línea
Nasloon Ali, Wasif Khan, Amir Ahmad, Mohammad Mehedy Masud, Hiba Adam and Luai A. Ahmed    
Gestational diabetes mellitus (GDM) is a common condition with repercussions for both the mother and her child. Machine learning (ML) modeling techniques were proposed to predict the risk of several medical outcomes. A systematic evaluation of the predic... ver más
Revista: Information    Formato: Electrónico

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