11 Hits in 10.5 sec

Understanding and predicting the spatio‐temporal spread of COVID‐19 via integrating diffusive graph embedding and compartmental models

Tong Zhang, Jing Li
2021 Transactions on GIS  
A case study in the state of Colorado, USA was performed to demonstrate the applicability of the proposed transmission modeling approach in understanding the spatio-temporal spread of COVID-19 at the neighborhood  ...  In this study, we address the modeling of COVID-19 spread across space and time, which facilitates understanding of the pandemic.  ...  The spatio-temporal modeling of COVID-19 spread has two research implications: (a) it may facilitate our understanding of the transmission patterns of the disease and how the spread relates to human mobility  ... 
doi:10.1111/tgis.12803 pmid:34512104 pmcid:PMC8420127 fatcat:qqlhkg4ja5egnbknuqkqay3qqm

An Epidemiological Neural network exploiting Dynamic Graph Structured Data applied to the COVID-19 outbreak

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperli
2020 IEEE Transactions on Big Data  
With the recent COVID-19 outbreak, we have assisted to the development of new epidemic models or the application of existing methodologies to predict the virus spread and to analyze how the different lock-down  ...  We evaluate the proposed approach using data related to the COVID-19 dynamics in Italy and we compare the forecasts of the trained model with available data about the epidemic spread.  ...  The COVID-19 outbreak pushed for the definition of new models and approaches for the analysis of its diffusion.  ... 
doi:10.1109/tbdata.2020.3032755 fatcat:hrgbhtlexjhi7cqkon64in3yje

Data-Centric Epidemic Forecasting: A Survey [article]

Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2022 arXiv   pre-print
The COVID-19 pandemic has brought forth the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy as a whole.  ...  of mechanistic models with the effectiveness and flexibility of statistical approaches.  ...  Acknowledgements This work was supported in part by the NSF (Expeditions CCF-, CAREER IIS-  ... 
arXiv:2207.09370v2 fatcat:x5a7uvmwrbgd7fiskufmn5nlmi

Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

Gleidson Sobreira Leite, Adriano Bessa Albuquerque, Plácido Rogerio Pinheiro
2021 International Journal of Environmental Research and Public Health  
With the growing concern about the spread of new respiratory infectious diseases, several studies involving the application of technology in the prevention of these diseases have been carried out.  ...  Despite the considerable number of studies, no records of works aimed at the identification, registration, selection, and rigorous analysis and synthesis of the literature were found.  ...  COVID-19 infection from cough, breath, and sneeze signals FRUCT 2021 S66 [95] COVID-19 Spread Prediction Model COVID-19 Spread Prediction Model CONFCDS 2021 S67 [96] COVID-19: A Novel  ... 
doi:10.3390/ijerph182010765 pmid:34682511 fatcat:drvsrdvj4nftvgfyj2kkcrgmx4

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
Recently, the framework of predictive coding (Sajikumar et al., 2014  ...  One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Acknowledgements The International Neuroinformatics Coordinating Facility (INCF) and Google supported the development of the brian2modelfitting toolbox via Google Summer of Code internships.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Social physics [article]

Marko Jusup, Petter Holme, Kiyoshi Kanazawa, Misako Takayasu, Ivan Romic, Zhen Wang, Suncana Gecek, Tomislav Lipic, Boris Podobnik, Lin Wang, Wei Luo, Tin Klanjscek (+3 others)
2021 arXiv   pre-print
, cooperation as a basis for civilised life, the structure of (social) networks, and the integration of intelligent machines in such networks.  ...  Starting with a set of topics that pertain to the modern way of living and factors that enable humankind's prosperous existence, we discuss urban development and traffic, the functioning of financial markets  ...  Estimating the transportation risk of Covid-19 from Wuhan to other cities in China. Covid-19 is caused by the SARS-CoV-2 virus.  ... 
arXiv:2110.01866v1 fatcat:ccfxyezl6zgddd6uvrxubmaxua

Proceedings of the World Molecular Imaging Congress 2021, October 5-8, 2021: General Abstracts

2022 Molecular Imaging and Biology  
The uncertainty caused in the system was modeled as an iterative deconvolution with resolution subsets to denoise and enhance image resolution.  ...  Results: In all of the phantom and patients' MRI studies the post-processed images proved to have higher resolution and contrast as compared with images reconstructed by conventional methods.  ...  The nanocluster system with a high selectivity showed the potential for fluorescence imaging and the integrating of gold and MMAE demonstrated excellent concurrent chemotherapy-radiotherapy efficacy, which  ... 
doi:10.1007/s11307-021-01693-y pmid:34982365 pmcid:PMC8725635 fatcat:4sfb3isoyfdhfbiwxfr55gvqym

Proceedings of the World Molecular Imaging Congress 2020, October 7-9, 2020: General Abstracts

2022 Molecular Imaging and Biology  
Results: In HGG xenografts, intratumoral distribution of pan800 correlated with the EGFR expression and the fluorescence signal.  ...  to identify clinical characteristics that may be predictive of EGFR expression.  ...  We believe that our miniature microscope will herald a new era in preclinical brain disease research by enabling novel insights into the dysfunction of multiple neurobiological variables over the disease  ... 
doi:10.1007/s11307-021-01691-0 pmid:34982363 pmcid:PMC8725637 fatcat:ipn7hwekzzh6nbsk6dr2mzuhhm

Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling

Stefan Radev
-Richard Feynman Mathematical models are becoming increasingly important for describing, explaining, and predicting human behavior in terms of underlying mechanisms and systems of mechanisms.  ...  On the one hand, they can be viewed as formal expedients for understanding the messy and noisy human data in much the same way as the models physicists employ to make sense of the data coming from spiral  ...  We thank the Technology Industries of Finland Centennial Foundation (grant 70007503; Artificial Intelligence for Research and Development) for partial support of this work.  ... 
doi:10.11588/heidok.00030807 fatcat:6vdp3u3buzec3pc32napfche5u

Virus phylogeography at the wild/domestic animal interface [article]

Florian Duchatel, University Of Edinburgh, Samantha Lycett, Mark Bronsvoort
Using recently developed Bayesian phylogenetic methods the first aim of this thesis was to understand and study the transmission of infectious disease amongst wild and domestic animal populations.  ...  Phylogenetic approaches can help us to understand how disease can be transmitted between wild and domestic animal populations.  ...  Using this approach, the spread of the pathogen is modelled as a stochastic compartmental model (a SEIR model where each potential host is one of the four following categories: susceptible, exposed,infectious  ... 
doi:10.7488/era/1237 fatcat:jrffayx5z5hhbnylx3qk2ftkiy

Parasitic Empires: Immunity, Insularity, Inter-Imperiality, 1870-2020 [article]

Bassam Sidiki, University, My
It proposes two models for understanding the convergence of infectious disease, racialization, and imperial power.  ...  The first, "spatio-racial immunity," refers to how enclosed "rhetorical spaces" like the plague ship, the brothel, the penal colony, and the leper colony racialized communicable disease.  ...  by the COVID-19 pandemic was a key contributor to the unrest.  ... 
doi:10.7302/6171 fatcat:obbwory7infy3mirjlkzm46psm