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Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data

Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Our method enables the analysis and prediction of disease rate evolution at fine spatio-temporal scales and demonstrates the potential of incorporating datasets from mobile web sources to improve population  ...  By viewing local human lifestyles we predict the evolution rate of several chronic diseases at the level of a city neighborhood.  ...  Acknowledgments We would like to thank Foursquare for making the data available to the University of Cambridge for this study.  ... 
doi:10.24963/ijcai.2018/497 dblp:conf/ijcai/WangZNM0C18 fatcat:lwrnclpyuvdi5oidm35gft62vy

Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities [article]

Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo
2020 arXiv   pre-print
As a remedy, we provide the first work which studies the ability of granular human mobility in describing and predicting crime concentrations at an hourly scale.  ...  The prime reason is that prior studies are limited to aggregated statistics of human visitors rather than mobility flows and, because of that, neglect the temporal dynamics of individual human movements  ...  Acknowledgements We thank Foursquare for supporting this research by providing the dataset used in the analysis.  ... 
arXiv:2004.08263v1 fatcat:uwqbok3ogzhppehg6rkryeitfy

Pattern transitions in spatial epidemics: Mechanisms and emergent properties

Gui-Quan Sun, Marko Jusup, Zhen Jin, Yi Wang, Zhen Wang
2016 Physics of Life Reviews  
Consequently, the spread of diseases in both time and space has been widely studied, revealing the different types of spatial patterns.  ...  We show that pattern transitions relate to the complexity of spatial epidemics by, for example, being accompanied with phenomena such as coherence resonance and cyclic evolution.  ...  [102, 103, 104] , and chronic hepatitis C [105] also exhibit spatio-temporal patterns.  ... 
doi:10.1016/j.plrev.2016.08.002 pmid:27567502 pmcid:PMC7105263 fatcat:nmo23uzlcbh5zjpj25guwvzezm

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Md. Shahinoor Rahman, Jean-Claude Thill
2021 IEEE Access  
Many studies have been conducted to predict the diffusion of the COVID-19 disease, assess the impacts of the pandemic on human mobility and on air quality, and assess the impacts of lockdown measures on  ...  This study also explores the spatio-temporal aspects of lockdown and confinement measures on coronavirus diffusion, human mobility, and air quality.  ...  Spatio-temporal impacts of lockdown measures on COVID-19 diffusion, human mobility, human mobility, and air quality are discussed in section V.  ... 
doi:10.1109/access.2021.3079121 pmid:34786314 pmcid:PMC8545207 fatcat:zpj7m7o5xvdslitzycrwzzsjvm

Wearable Inertial Sensors to Assess Gait during the 6-Minute Walk Test: A Systematic Review

Fabio Alexander Storm, Ambra Cesareo, Gianluigi Reni, Emilia Biffi
2020 Sensors  
Results were critically discussed to suggest future directions for the use of inertial sensor devices in the clinics.  ...  The aim of this review is to examine the existing knowledge by systematically reviewing a large number of papers focusing on the use of wearable inertial sensors for the assessment of gait during the 6  ...  In patients with chronic obstructive pulmonary disease, most studies aimed at validating MIMU-based outcomes to predict pulmonary function and transitions in oxygen saturation [57, 64] .  ... 
doi:10.3390/s20092660 pmid:32384806 pmcid:PMC7249076 fatcat:gcfl73fbprhpnahmttlhoyvyny

Spatio-Temporal Dynamics of Cholera during the First Year of the Epidemic in Haiti

Jean Gaudart, Stanislas Rebaudet, Robert Barrais, Jacques Boncy, Benoit Faucher, Martine Piarroux, Roc Magloire, Gabriel Thimothe, Renaud Piarroux, Hélène Carabin
2013 PLoS Neglected Tropical Diseases  
In this report, we describe the spatio-temporal dynamics of cholera and the associated environmental factors.  ...  Environmental factors (river and rice fields: p,0.003) played a role in disease dynamics exclusively during the early phases of the epidemic.  ...  Acknowledgments We are grateful to the Haitian Ministry of Public Health and Population authorities, the medical teams in each Haitian department, the Cuban medical teams in Haiti for collecting the data  ... 
doi:10.1371/journal.pntd.0002145 pmid:23593516 pmcid:PMC3617102 fatcat:a35p7fsekzcohchqh74wx5b5dy

Signatures of Gait Movement Variability in CKD Patients Scheduled for Hemodialysis Indicate Pathological Performance Before and After Hemodialysis: A Prospective, Observational Study

Damiano D. Zemp, Olivier Giannini, Pierluigi Quadri, Marco Rabuffetti, Mauro Tettamanti, Eling D. de Bruin
2021 Frontiers in Medicine  
This finding suggests the importance of gait analysis in the early stages of renal disease in the diagnosis of changes in the nervous system due to kidney failure that affect gait.  ...  This hints toward changes in the central nervous system due to the kidney disease.  ...  Displacement of the pelvis during human walking: experimental data and model predictions. Gait Posture.  ... 
doi:10.3389/fmed.2021.702029 fatcat:6wqtbym4qzap7lmxmrkmzgtevq

Digital Healthcare for Airway Diseases from Personal Environmental Exposure

Youngmok Park, Chanho Lee, Ji Ye Jung
2022 Yonsei medical journal  
Then, we summarized the capacity of digital technologies in predicting exacerbation and self-management of airway diseases.  ...  Moreover, the COVID-19 pandemic has facilitated the application of telemedicine and telemonitoring for patients with chronic airway diseases.  ...  powers were suboptimal. 42, 43 he evolution of computer science offered the capacity to integrate multiple data sources, increasing the accuracy of predictive models.  ... 
doi:10.3349/ymj.2022.63.s1 pmid:35040601 pmcid:PMC8790581 fatcat:lmsjtu3qz5cj7ejeqnok62dpim

Analyzing Links between Spatio-Temporal Metrics of Built-Up Areas and Socio-Economic Indicators on a Semi-Global Scale

Marta Sapena, Luis A. Ruiz, Hannes Taubenböck
2020 ISPRS International Journal of Geo-Information  
We also identified the spatio-temporal metrics that were more relevant in the models: we found that urban compactness, concentration degree, the dispersion index, the densification of built-up growth,  ...  empirically boost the study of these relationships from a multi-temporal perspective in the near future.  ...  Chronic exposure to PM2.5 increases the risk of respiratory and cardiovascular diseases.  ... 
doi:10.3390/ijgi9070436 fatcat:3g3i2uzqrjcdbatruaewccspiq

Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015)

Lander Willem, Frederik Verelst, Joke Bilcke, Niel Hens, Philippe Beutels
2017 BMC Infectious Diseases  
We retrieved 24 studies on a vaccine-preventable childhood disease (covering 7 different diseases), with publication frequency increasing from the first such study published in 2008.  ...  Individual heterogeneity at the host and pathogen level is increasingly documented to influence transmission of endemic diseases and it is well understood that the final stages of elimination strategies  ...  Acknowledgements The authors acknowledge support of the Antwerp Study Centre for Infectious Diseases (ASCID) at the University of Antwerp.  ... 
doi:10.1186/s12879-017-2699-8 pmid:28893198 pmcid:PMC5594572 fatcat:4nqyz6ryx5cwddoqskz6pcgcby

The Challenges of Telemedicine in Rheumatology

Yujie Song, Laurène Bernard, Christian Jorgensen, Gilles Dusfour, Yves-Marie Pers
2021 Frontiers in Medicine  
In rheumatology, e-health interventions in the diagnosis, monitoring and mentoring of rheumatic diseases are applied in different forms: teleconsultation and telecommunications, mobile applications, mobile  ...  However, some limitations remain to be solved, such as data security, legal problems, reimbursement method, accessibility, as well as the application of recommendations in the development of the tools.  ...  That being said, with the progress in terms of early detection and follow up of chronical stable disease, telemedicine cannot be applicable to all cases.  ... 
doi:10.3389/fmed.2021.746219 pmid:34722584 pmcid:PMC8548429 fatcat:crldmhbzojh6rnt4ad3walbeva

Toward a quantitative understanding of viral phylogeography

Nuno Rodrigues Faria, Marc A Suchard, Andrew Rambaut, Philippe Lemey
2011 Current Opinion in Virology  
Phylogeographic approaches help uncover the imprint that spatial epidemiological processes leave in the genomes of fast evolving viruses.  ...  Recent Bayesian inference methods that consider phylogenetic diffusion of discretely and continuously distributed traits offer a unique opportunity to explore genotypic and phenotypic evolution in greater  ...  This strategy has, for example, been 426 Virus evolution Current Opinion in Virology Spatio-temporal reconstruction of avian influenza H5N1 spread in Eurasia.  ... 
doi:10.1016/j.coviro.2011.10.003 pmid:22440846 pmcid:PMC3312803 fatcat:oxdnrwnyovh3nkcp75ypqhtet4

Optimal surveillance network design: a value of information model

Matteo Convertino, Yang Liu, Haejin Hwang
2014 Complex Adaptive Systems Modeling  
Methods: Model effectiveness is assessed for data from the 2010 Cholera epidemic in Cameroon, the 2012 foodborne Salmonella epidemic in USA, and the 2004-2007 H5N1 avian influenza pandemic.  ...  Such accuracy is accompanied by an average reduction of 25% in required surveillance nodes with respect to random surveillance.  ...  The mobility parameter γ is the average food/human mobility rate estimated in the data (Section "Mobility and surveillance networks"), i.e. γ = / , where = n N n is the total population in the system and  ... 
doi:10.1186/s40294-014-0006-8 fatcat:3rseahtvfrdovlksfiga3u6k7u

Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing

Anastasios Temenos, Ioannis N. Tzortzis, Maria Kaselimi, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis
2022 Remote Sensing  
In this paper, we propose the fusion of a heterogeneous, spatio-temporal dataset that combine data from eight European cities spanning from 1 January 2020 to 31 December 2021 and describe atmospheric,  ...  socio-economic, health, mobility and environmental factors all related to potential links with COVID-19.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their kind suggestions and constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14133074 fatcat:leoysstvubaddmyple3twa2fuq

Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in England

B. Sartorius, A. B. Lawson, R. L. Pullan
2021 Scientific Reports  
While non-pharmaceutical interventions (that is, reductions in population mobility and social distancing) had a profound impact on the trajectory of the first wave of the COVID-19 outbreak in England,  ...  Area (MSOA), 6791 units] and by week (using observed data from week 5 to 34 of 2020), including key determinants, the modelled transmission dynamics and spatial–temporal random effects.  ...  Spatial temporal patterns in population mobility at MSOA.  ... 
doi:10.1038/s41598-021-83780-2 pmid:33686125 fatcat:fmgzzikonvhr7jzccq2i6qfa5a
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