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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, ...
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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...
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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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Sarah Haeusser, Robert Möller, Kay Smarsly, Yousuf Al-Hakim, Norbert Kreuzinger, Johannes Pinnekamp, Mathias W. Pletz, Claudia Kluemper and Silvio Beier
Wastewater monitoring for SARS-CoV-2 is a valuable tool for surveillance in public health. However, reliable analytical methods and appropriate approaches for the normalization of results are important requirements for implementing state-wide monitoring ...
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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...
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Jesse T. Richman and Ryan J. Roberts
Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading...
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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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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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Pierre Goovaerts, Thomas Hermans, Peter F. Goossens and Ellen Van De Vijver
This paper addresses two common challenges in analyzing spatial epidemiological data, specifically disease incidence rates recorded over small areas: filtering noise caused by small local population sizes and deriving estimates at different spatial scale...
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Susana Román-Pérez, Raúl Aguirre-Gómez, Juan Eugenio Hernández-Ávila, Luisa Basilia Íñiguez-Rojas, René Santos-Luna and Fabián Correa-Morales
Dengue is a public health problem in more than 100 countries around the world and in virtually the entire region of the Americas, including Mexico. Mosquitoes of the genus Aedes aegypti transmit dengue; its reproduction requires certain geographical, epi...
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