Article
Veterinary Sciences
Edward M. Hill, Naomi S. Prosser, Paul E. Brown, Eamonn Ferguson, Martin J. Green, Jasmeet Kaler, Matt J. Keeling, Michael J. Tildesley
Summary: This study explores the impact of heterogeneity in farmers' vaccination behavior on disease outbreaks and economic outcomes by incorporating it into a mathematical model.
PREVENTIVE VETERINARY MEDICINE
(2023)
Article
Physics, Fluids & Plasmas
Charley Presigny, Petter Holme, Alain Barrat
Summary: This study addresses how to build surrogate data from various kinds of temporal network backbones and explores the effective use of these surrogate data in data-driven numerical simulations. Through the analysis of empirical temporal networks, it provides insights on how to best summarize complex data sets to maintain their actionability.
Article
Immunology
Anthony Fojo, Emma Wallengren, Melissa Schnure, David W. Dowdy, Maunank Shah, Parastu Kasaie
Summary: The impact of COVID-19 on HIV transmission remains uncertain and varies between cities. Reported HIV diagnoses in 2020-2021 are likely to have a weak correlation with the actual incidence. Minimizing disruptions to HIV care is crucial in mitigating the negative effects of the COVID-19 pandemic on HIV transmission.
CLINICAL INFECTIOUS DISEASES
(2022)
Article
Multidisciplinary Sciences
Mathew Kiang, Mauricio Santillana, Jarvis T. Chen, Jukka-Pekka Onnela, Nancy Krieger, Kenth Engo-Monsen, Nattwut Ekapirat, Darin Areechokchai, Preecha Prempree, Richard J. Maude, Caroline O. Buckee
Summary: Dengue fever is a major global health issue, and research shows that human mobility significantly impacts the spread of the virus. Integrating mobility data into traditional forecasting methods can improve prediction accuracy, providing more effective support for epidemic early warning systems.
SCIENTIFIC REPORTS
(2021)
Article
Microbiology
Subhash Kumar Yadav, Vinit Kumar, Yusuf Akhter
Summary: This study analyzed COVID-19 dissemination data using three statistical approaches to predict further spread and determine the behavior of the pandemic in the top 12 countries by infection incidence. The findings included the best-fit distribution, time series models, and estimated infection rates, recovery rates, and Basic Reproduction Numbers. These findings can be used to develop effective policies for breaking the disease's chain of transmission.
CURRENT MICROBIOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Achuta Kadambi, Celso de Melo, Cho-Jui Hsieh, Mani Srivastava, Stefano Soatto
Summary: Computer vision techniques, often data-driven, can benefit from including physical models as constraints in the pipeline. This Perspective provides an overview of specific approaches for integrating physics into artificial intelligence pipelines, referred to as physics-based machine learning.
NATURE MACHINE INTELLIGENCE
(2023)
Article
Fisheries
John T. Trochta, Maya L. Groner, Paul K. Hershberger, Trevor A. Branch
Summary: This study investigated the usefulness of seroprevalence data in fish population models, specifically using Pacific herring as a case study. The results showed that simulated seroprevalence data can accurately estimate infection history and disease-associated mortality, even in the presence of nonstationary processes. These findings highlight the importance of considering seroprevalence data when estimating disease mortality in fish populations.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Infectious Diseases
Mathieu Andraud, Pachka Hammami, Brandon H. Hayes, Jason A. Galvis, Timothee Vergne, Gustavo Machado, Nicolas Rose
Summary: African swine fever poses a significant threat to the swine industry, and understanding its transmission routes and control measures is crucial. A simulation model was developed to assess the spread of African swine fever in the commercial swine network in France, considering different transmission routes and surveillance measures.
TRANSBOUNDARY AND EMERGING DISEASES
(2022)
Article
Automation & Control Systems
Tongtong Wang, Guoyuan Li, Lars Ivar Hatledal, Robert Skulstad, Vilmar AEsoy, Houxiang Zhang
Summary: High-fidelity ship motion models are crucial for innovation and efficiency in the maritime industry. This study proposes a hybrid modeling methodology that combines prior knowledge with a data-driven calibrator to improve the predictive capability of the model.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Mathematical & Computational Biology
Caitlin Ward, Grant D. Brown, Jacob J. Oleson
Summary: Compartmental models are commonly used in infectious disease research, but fitting such models is challenging due to the need to estimate the duration of infectious periods. This article presents a novel approach that considers the transmissibility curve over a fixed infectious duration, offering improved estimation of the time-varying reproductive number.
BIOMETRICAL JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Saman Bina, Timothy Kaskela, Donald R. Jones, Eric Walden, William B. Graue
Summary: With the proliferation of data, various information visualization tools have been developed to convert data into information for decision-making. In this research, we contribute to the development of visualization theories by incorporating evolutionary adaptations into the cognitive fit theory, explaining why 3-D surface graphs outperform traditional 2-D graphs in sensemaking tasks. We also expand the cognitive fit model to include classic human information processes and evolutionary adaptations, suggesting its potential integration with neuroscience advancements.
DECISION SUPPORT SYSTEMS
(2023)
Article
Automation & Control Systems
Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
Summary: We studied the distributionally robust learning (DRL) method and proposed a solution to constrain the adversary by incorporating unlabeled data. The new formulation provides a computable guarantee on learning performance through stochastic gradient-based optimization.
JOURNAL OF MACHINE LEARNING RESEARCH
(2021)
Review
Mathematics
Sanubari Tansah Tresna, Subiyanto, Sudradjat Supian
Summary: This article explains and summarizes the published articles on the typhoid disease transmission model, providing insights into the transmission of Salmonella among humans and vectors and the effects of interventions on controlling the spread of typhoid disease.
Article
Immunology
Angel N. Desai, Diandra Ruidera, Julie M. Steinbrink, Bruno Granwehr, Dong Heun Lee
Summary: The use of social media to spread misinformation and disinformation can pose significant dangers to public health, especially during the SARS-CoV-2 pandemic. Unlike academic journals and professional news organizations, social media platforms often lack a rigorous review process, leading to the dissemination of inaccurate health information. This article aims to inform the infectious diseases community about the history and dangers of health misinformation and disinformation in social media, provide tools for identifying and responding to misinformation, and propose ethical considerations for social media use.
CLINICAL INFECTIOUS DISEASES
(2022)
Article
Computer Science, Software Engineering
Haihan Lin, Derya Akbaba, Miriah Meyer, Alexander Lex
Summary: The trouble with data is that it often only gives an imperfect representation of a phenomenon. Personal knowledge about the caveats of a dataset is typically not incorporated in a structured way, which can cause issues when interpreting the data. This work introduces the concept of data hunches and explores ways to record and visualize them to enhance collaboration and learning.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)