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Source location on multilayer networks [article]

Robert Paluch, Łukasz G. Gajewski, K. Suchecki, Janusz A. Hołyst
2020 arXiv   pre-print
Nowadays it is not uncommon to have to deal with dissemination on multi-layered networks and often finding the source of said propagation can be a crucial task.  ...  In this paper we tackle this exact problem with a maximum likelihood approach that we extend to be operational on multi-layered graphs.  ...  The model is adapted to multi-layer networks, therefore the intra-layer infection rate has a form of vector β = [β 1 , β 2 , . . . , β l ].  ... 
arXiv:2012.02023v1 fatcat:saivqrf6tzdj5cdfnz4f5vswva

Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations

Rajesh Gupta, Aparna Kumari, Sudeep Tanwar, Neeraj Kumar
2020 IEEE Network  
This enabled UAVs to communicate with each other through a directed short-range communication channel in the infected region and share real-time data of resident locations with high precision (i.e., geo-location  ...  A single UAV swarming network can cover only one single geographic location. But to monitor multiple geographic locations simultaneously, there is a need for a multi-swarming UAV network.  ... 
doi:10.1109/mnet.011.2000439 fatcat:7s6q4awd55fpfmz4wkvjn2nlua

A Multi-level Model to Understand Cervical Cancer Disparities in Appalachia

Electra D. Paskett, Michael L. Pennell, Mack T. Ruffin, Christopher M. Weghorst, Bo Lu, Erinn M. Hade, Juan Peng, Brittany M. Bernardo, Mary Ellen Wewers
2020 Cancer Prevention Research  
The results of these projects were then used to refine a multi-level model that explains cervical cancer disparities in Appalachia.  ...  On the basis of the results of these projects, the second wave (2011-2017) included four projects, designed to address a multi-level model of factors contributing to cervical disparities in Appalachia.  ...  Acknowledgments This study was funded by a grant from the NCI (P50CA105632, to E.D. Paskett)  ... 
doi:10.1158/1940-6207.capr-19-0239 pmid:32132116 pmcid:PMC7080299 fatcat:aushhkyvmbgdtajp54paljqd6i

Supersize me: how whole-genome sequencing and big data are transforming epidemiology

Rowland R. Kao, Daniel T. Haydon, Samantha J. Lycett, Pablo R. Murcia
2014 Trends in Microbiology  
In epidemiology, the identification of 'who infected whom' allows us to quantify key characteristics such as incubation periods, heterogeneity in transmission rates, duration of infectiousness, and the  ...  We also discuss potential pitfalls in the over-interpretation of these data, and highlight the manner in which a confluence of this technology with sophisticated mathematical and statistical approaches  ...  a social network (individuals A, B, and C mutually connected) divided by the number of triples in a social network (A connected to B connected to C, but A need not be connected to C).  ... 
doi:10.1016/j.tim.2014.02.011 pmid:24661923 pmcid:PMC7125769 fatcat:nhs32qxdjzdwvoa5d3j72sgihm

Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations

Kai Zhu, Zhen Chen, Lei Ying
This paper studies the problem of locating multiple diffusion sources in networks with partial observations. We propose a new source localization algorithm, named Optimal-Jordan-Cover (OJC).  ...  Considering the heterogeneous susceptible-infected-recovered (SIR) diffusion in the Erdos-Renyi (ER) random graph, we prove that OJC can locate all sources with probability one asymptotically with partial  ...  Acknowledgments This work was supported in part by the U.S. Army Research Laboratory's Army Research Office (ARO Grant No.  ... 
doi:10.1609/aaai.v31i1.10746 fatcat:josi6oibizbjzk76uzfn3icqcy

Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking

Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
2019 IEEE Access  
In the face of a sudden infectious disease outbreak, contact tracking systems can help medical professionals quickly locate and isolate infected persons and high-risk individuals, preventing further spread  ...  With the purpose of providing useful reference and inspiration for researchers and practitioners in related fields, directions in multi-view contact tracing, multi-scale contact tracing, and AI-based contact  ...  White, green, and blue indicate high, intermediate, and low contact rates, respectively.  ... 
doi:10.1109/access.2018.2882915 pmid:32391236 pmcid:PMC7176034 fatcat:bjfb33gjpfaktld2kj4z7izgki

An Agent-Based Modeling for Pandemic Influenza in Egypt [article]

Khaled M. Khalil, M. Abdel-Aziz, Taymour T. Nazmy, Abdel-Badeeh M. Salem
2010 arXiv   pre-print
The proposed multi-agent model is based on the modeling of individuals' interactions in a space time context.  ...  The proposed model involves different types of parameters such as: social agent attributes, distribution of Egypt population, and patterns of agents' interactions.  ...  Infected agent will affect all agents in his social networks to be exposed. Thus, probability of agent to be infected increases according to the number of infected agents in his social networks.  ... 
arXiv:1001.5275v1 fatcat:cl7wvn77hfaxhnybq7uudoauvi

2019 Index IEEE Transactions on Network Science and Engineering Vol. 6

2019 IEEE Transactions on Network Science and Engineering  
-Dec. 2019 684-697 Location Order Recovery in Trails with Low Temporal Resolution. Huang, B., +, TNSE Oct.  ...  -Dec. 2019 684-697 Image resolution Location Order Recovery in Trails with Low Temporal Resolution. Huang, B., +, TNSE Oct.  ...  Probability density function Identification of Missing Links Using Susceptible-Infected-Susceptible Spreading Traces. Vajdi, A., +, TNSE Oct.-Dec. 2019  ... 
doi:10.1109/tnse.2020.2964975 fatcat:mb5jt4io7jfbdiso323jgi7hlm

Digital Surveillance Networks of 2014 Ebola Epidemics and Lessons for COVID-19 [article]

Liaquat Hossain, Fiona Kong, Derek Kham
2022 arXiv   pre-print
We argue that public health preparedness and response can be strengthened by understanding the social network connections between responders (such as local health authorities) and spreaders (infected individuals  ...  of both strong (i.e., infections, confirmed cases, deaths in hospital or clinic settings) and weak alters from the community.  ...  Compared with traditional epidemiological methods, social network models may enrich the analysis in a number of ways.  ... 
arXiv:2206.09229v1 fatcat:fubkf6c3unawvgr3vus72xf75q

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing — Part I: Fundamentals and Enabling Technologies

Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Ngoc-Tan Nguyen, Tran Viet Khoa, Bui Minh Tuan, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas, Bjorn Ottersten
2020 IEEE Access  
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19.  ...  This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing  ...  Thus, in some areas with weak or high interference signals (e.g., inside a building or in crowded areas), the location accuracy is very low [141] , [145] , [149] .  ... 
doi:10.1109/access.2020.3018140 pmid:34812349 pmcid:PMC8545308 fatcat:blbntvwkhbci3gj5lgzhoafozi

Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore

Huso Yi, Shu Tian Ng, Aysha Farwin, Pei Ting Amanda Low, Cheng Mun Chang, Jeremy Lim
2020 Journal of Travel Medicine  
Low-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection.  ...  However, little is known about the roles of social and geospatial networks in COVID-19 transmission.  ...  Acknowledgements We thank the migrant workers who participated in this research for their time.  ... 
doi:10.1093/jtm/taaa159 pmid:32894286 pmcid:PMC7499763 fatcat:2sqmcerhmncv5iwjdf4hqldesu

Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19 [article]

Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
2021 medRxiv   pre-print
The results show that smart-testing is effective in significantly reducing infection and death rates as compared to current policies, with or without vaccination.  ...  Using a data-driven agent-based model simulating New York City we show that the algorithm samples individuals to test in a manner that rapidly traces infected individuals.  ...  For instance, with low vaccination rate and high compliance, the percentage infected drops by ∼ 45%. • Asymptomatic transmission is a significant aspect of Covid-19.  ... 
doi:10.1101/2021.05.01.21256469 fatcat:5my4ulfuqvffrfjzameamqud24

Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm

Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht, Taghi Khoshgoftaar
2021 Journal of Big Data  
A conservatively low estimate is that 5 % of the population could become infected within 3 months.  ...  Our work proposes the HPCC Systems Covid-19 tracker, which provides a multi-level view of the pandemic with the informative virus spreading indicators in a timely manner.  ...  A traditional social network does not imply a physical network, but a physical network may imply the subset of a social network.  ... 
doi:10.1186/s40537-021-00423-z pmid:33614394 pmcid:PMC7883950 fatcat:lwmtigc7dzdlncbixsyxhjjqnq

Local protection bubbles: an interpretation of the decrease in the velocity of coronavirus's spread in the city of Sao Paulo [article]

Jose Paulo Guedes Pinto, Patricia Camargo Magalhaes, Gerusa Maria Figueiredo, Domingos Alves, Diana Maritza Segura-Angel
2020 medRxiv   pre-print
After four months of dealing with the pandemic, the city of Sao Paulo entered a phase of relaxed social-distancing measures in July 2020, and saw its social isolation rate fall at the same time as the  ...  These local bubbles can burst anytime and anywhere due to the reintroduction of a few infected people at the same time that there is a reduction in non-pharmaceutical interventions (NPI), such as social-distancing  ...  herd immunity in a population with a low infection rate.  ... 
doi:10.1101/2020.08.11.20173039 fatcat:lasoyvvrxrgdvcxca2bygvrlie

Model of epidemic control based on quarantine and message delivery

Xingyuan Wang, Tianfang Zhao, Xiaomeng Qin
2016 Physica A: Statistical Mechanics and its Applications  
Also, the model is performed on the classic complex networks like scale-free network and small-world network, and location-based social networks.  ...  Experiments show that the increasing of isolating rates in invasion period, as long as over 0.5, contributes little to the preventing of epidemic; the improvement of isolation rate in latent period is  ...  Acknowledgments This research is supported by the National Natural Science Foundation of China (Nos: 61370145, and 61173183), and Program for Liaoning Excellent Talents in University (No: LR2012003).  ... 
doi:10.1016/j.physa.2016.04.009 pmid:32288100 pmcid:PMC7127083 fatcat:fj52ct25lze33cqn5rfmjccx6i
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