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Modelling disease outbreaks in realistic urban social networks

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Cited by:

  1. Fabrizio Iozzi & Francesco Trusiano & Matteo Chinazzi & Francesco C Billari & Emilio Zagheni & Stefano Merler & Marco Ajelli & Emanuele Del Fava & Piero Manfredi, 2010. "Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data," PLOS Computational Biology, Public Library of Science, vol. 6(12), pages 1-10, December.
  2. Burris, Courtney & Nikolaev, Alexander & Zhong, Shiran & Bian, Ling, 2021. "Network effects in influenza spread: The impact of mobility and socio-economic factors," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
  3. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
  4. Floriana Gargiulo & Sônia Ternes & Sylvie Huet & Guillaume Deffuant, 2010. "An Iterative Approach for Generating Statistically Realistic Populations of Households," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-9, January.
  5. Santi Phithakkitnukoon & Zbigniew Smoreda & Patrick Olivier, 2012. "Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
  6. Saturnino Luz & Masood Masoodian, 2022. "Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
  7. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
  8. Weiwei Zhang & Shiyong Liu & Nathaniel Osgood & Hongli Zhu & Ying Qian & Peng Jia, 2023. "Using simulation modelling and systems science to help contain COVID‐19: A systematic review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 207-234, January.
  9. Singh, Anurag & Arquam, Md, 2022. "Epidemiological modeling for COVID-19 spread in India with the effect of testing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
  10. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
  11. Hou, Yunxiang & Lu, Yikang & Dong, Yuting & Jin, Libin & Shi, Lei, 2023. "Impact of different social attitudes on epidemic spreading in activity-driven networks," Applied Mathematics and Computation, Elsevier, vol. 446(C).
  12. Michał Wielechowski & Katarzyna Czech & Łukasz Grzęda, 2020. "Decline in Mobility: Public Transport in Poland in the time of the COVID-19 Pandemic," Economies, MDPI, vol. 8(4), pages 1-24, September.
  13. Zhang, Kebo & Hong, Xiao & Han, Yuexing & Wang, Bing, 2024. "Interplay of simplicial information propagation and epidemic spreading on multiplex metapopulation networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
  14. Lazebnik, Teddy & Spiegel, Orr, 2025. "Individual variation affects outbreak magnitude and predictability in multi-pathogen model of pigeons visiting dairy farms," Ecological Modelling, Elsevier, vol. 499(C).
  15. Zhou Huang & Ganmin Yin & Xia Peng & Xiao Zhou & Quanhua Dong, 2023. "Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data," Environment and Planning B, , vol. 50(9), pages 2470-2490, November.
  16. Xiao Chen & Hanwei Huang & Jiandong Ju & Ruoyan Sun & Jialiang Zhang, 2024. "Endogenous mobility in pandemics: Theory and evidence from the United States," CEP Discussion Papers dp1981, Centre for Economic Performance, LSE.
  17. Çavdar, Ahmet Birol & Ferhatosmanoğlu, Nilgün, 2018. "Airline customer lifetime value estimation using data analytics supported by social network information," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 19-33.
  18. Sangwon Chae & Sungjun Kwon & Donghyun Lee, 2018. "Predicting Infectious Disease Using Deep Learning and Big Data," IJERPH, MDPI, vol. 15(8), pages 1-20, July.
  19. Stipic, Dorian & Bradac, Mislav & Lipic, Tomislav & Podobnik, Boris, 2021. "Effects of quarantine disobedience and mobility restrictions on COVID-19 pandemic waves in dynamical networks," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
  20. Dennis L Chao & M Elizabeth Halloran & Valerie J Obenchain & Ira M Longini Jr, 2010. "FluTE, a Publicly Available Stochastic Influenza Epidemic Simulation Model," PLOS Computational Biology, Public Library of Science, vol. 6(1), pages 1-8, January.
  21. Lu, Zhong-Wen & Xu, Yuan-Hao & Chen, Jie & Hu, Mao-Bin, 2023. "Investigation of traffic-driven epidemic spreading by taxi trip data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
  22. Xiao, Yao & Yang, Mofeng & Zhu, Zheng & Yang, Hai & Zhang, Lei & Ghader, Sepehr, 2021. "Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: A pedestrian dynamics-based microscopic simulation approach," Transport Policy, Elsevier, vol. 109(C), pages 12-23.
  23. Hyeyoung Kim & Ningchuan Xiao & Mark Moritz & Rebecca Garabed & Laura W. Pomeroy, 2016. "Simulating the Transmission of Foot-And-Mouth Disease Among Mobile Herds in the Far North Region, Cameroon," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(2), pages 1-6.
  24. Sparks, Kevin & Moehl, Jessica & Weber, Eric & Brelsford, Christa & Rose, Amy, 2022. "Shifting temporal dynamics of human mobility in the United States," Journal of Transport Geography, Elsevier, vol. 99(C).
  25. Anirban Dasgupta & Srijan Sengupta, 2022. "Scalable Estimation of Epidemic Thresholds via Node Sampling," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 321-344, June.
  26. Deng, Ye & Wang, Zhigang & Xiao, Yu & Shen, Xiaoda & Kurths, Jürgen & Wu, Jun, 2025. "Spatial network disintegration based on spatial coverage," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
  27. Mirjam Kretzschmar & Jacco Wallinga, 2007. "Editorial," Mathematical Population Studies, Taylor & Francis Journals, vol. 14(4), pages 203-209, November.
  28. Lander Willem & Sean Stijven & Ekaterina Vladislavleva & Jan Broeckhove & Philippe Beutels & Niel Hens, 2014. "Active Learning to Understand Infectious Disease Models and Improve Policy Making," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-10, April.
  29. Jiang, Jincheng & Xu, Zhihua & Zhang, Zhenxin & Zhang, Jie & Liu, Kang & Kong, Hui, 2023. "Revealing the fractal and self-similarity of realistic collective human mobility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
  30. Bisin, Alberto & Moro, Andrea, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses," MPRA Paper 101059, University Library of Munich, Germany.
  31. Yu, Fengyuan & Wang, Jianwei & He, Jialu & Xu, Wenshu, 2023. "Friendship transmission and cooperation evolution in highly clustering interactions," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
  32. Lilit Yeghiazarian & William G Cumberland & Otto O Yang, 2013. "A Stochastic Multi-Scale Model of HIV-1 Transmission for Decision-Making: Application to a MSM Population," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
  33. Stephan Kitchovitch & Pietro Liò, 2011. "Community Structure in Social Networks: Applications for Epidemiological Modelling," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-17, July.
  34. Wiriya Mahikul & Somkid Kripattanapong & Piya Hanvoravongchai & Aronrag Meeyai & Sopon Iamsirithaworn & Prasert Auewarakul & Wirichada Pan-ngum, 2020. "Contact Mixing Patterns and Population Movement among Migrant Workers in an Urban Setting in Thailand," IJERPH, MDPI, vol. 17(7), pages 1-11, March.
  35. Askitas, Nikos & Tatsiramos, Konstantinos & Verheyden, Bertrand, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," IZA Discussion Papers 13293, Institute of Labor Economics (IZA).
  36. Jamie Bedson & Laura A. Skrip & Danielle Pedi & Sharon Abramowitz & Simone Carter & Mohamed F. Jalloh & Sebastian Funk & Nina Gobat & Tamara Giles-Vernick & Gerardo Chowell & João Rangel Almeida & Ran, 2021. "A review and agenda for integrated disease models including social and behavioural factors," Nature Human Behaviour, Nature, vol. 5(7), pages 834-846, July.
  37. Sheree A. Pagsuyoin & Gustavo Salcedo & Joost R. Santos & Christopher B. Skinner, 2022. "Pandemic wave trends in COVID-19 cases, mobility reduction, and climate parameters in major metropolitan areas in the United States," Environment Systems and Decisions, Springer, vol. 42(3), pages 350-361, September.
  38. Nagel, Kai & Rakow, Christian & Müller, Sebastian A., 2021. "Realistic agent-based simulation of infection dynamics and percolation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
  39. Victoria Romeo-Aznar & Laís Picinini Freitas & Oswaldo Gonçalves Cruz & Aaron A. King & Mercedes Pascual, 2022. "Fine-scale heterogeneity in population density predicts wave dynamics in dengue epidemics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  40. Yeran Sun & Hongchao Fan & Ming Li & Alexander Zipf, 2016. "Identifying the city center using human travel flows generated from location-based social networking data," Environment and Planning B, , vol. 43(3), pages 480-498, May.
  41. Gonzalo M Vazquez-Prokopec & Donal Bisanzio & Steven T Stoddard & Valerie Paz-Soldan & Amy C Morrison & John P Elder & Jhon Ramirez-Paredes & Eric S Halsey & Tadeusz J Kochel & Thomas W Scott & Uriel , 2013. "Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
  42. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
  43. Kuo-Ying Wang, 2014. "How Change of Public Transportation Usage Reveals Fear of the SARS Virus in a City," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
  44. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
  45. Tayo Alex Adekiya & Raphael Taiwo Aruleba & Babatunji Emmanuel Oyinloye & Kazeem Oare Okosun & Abidemi Paul Kappo, 2019. "The Effect of Climate Change and the Snail-Schistosome Cycle in Transmission and Bio-Control of Schistosomiasis in Sub-Saharan Africa," IJERPH, MDPI, vol. 17(1), pages 1-22, December.
  46. Rezapour, Shabnam & Baghaian, Atefe & Naderi, Nazanin & Sarmiento, Juan P., 2023. "Infection transmission and prevention in metropolises with heterogeneous and dynamic populations," European Journal of Operational Research, Elsevier, vol. 304(1), pages 113-138.
  47. Zhangbo Yang & Jiahao Zhang & Shanxing Gao & Hui Wang, 2022. "Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak: An Analysis Based on 1218 COVID-19 Cases in China," IJERPH, MDPI, vol. 19(2), pages 1-17, January.
  48. Stefano Guarino & Enrico Mastrostefano & Massimo Bernaschi & Alessandro Celestini & Marco Cianfriglia & Davide Torre & Lena Rebecca Zastrow, 2021. "Inferring Urban Social Networks from Publicly Available Data," Future Internet, MDPI, vol. 13(5), pages 1-45, April.
  49. Hend Alrasheed & Alhanoof Althnian & Heba Kurdi & Heila Al-Mgren & Sulaiman Alharbi, 2020. "COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis," IJERPH, MDPI, vol. 17(21), pages 1-24, October.
  50. Kirsty J Bolton & James M McCaw & Kristian Forbes & Paula Nathan & Garry Robins & Philippa Pattison & Terry Nolan & Jodie McVernon, 2012. "Influence of Contact Definitions in Assessment of the Relative Importance of Social Settings in Disease Transmission Risk," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
  51. Yidan Cao & Xiaomin Tang, 2022. "Evaluating the Effectiveness of Community Public Open Space Renewal: A Case Study of the Ruijin Community, Shanghai," Land, MDPI, vol. 11(4), pages 1-20, March.
  52. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
  53. Kayuet Liu & Peter S. Bearman, 2015. "Focal Points, Endogenous Processes, and Exogenous Shocks in the Autism Epidemic," Sociological Methods & Research, , vol. 44(2), pages 272-305, May.
  54. Di Liang & Ran Bhamra & Zhongyi Liu & Yucheng Pan, 2022. "Risk Propagation and Supply Chain Health Control Based on the SIR Epidemic Model," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
  55. Yong Yang & Peter M Atkinson, 2008. "Individual Space – Time Activity-Based Model: A Model for the Simulation of Airborne Infectious-Disease Transmission by Activity-Bundle Simulation," Environment and Planning B, , vol. 35(1), pages 80-99, February.
  56. Yuval Arbel & Chaim Fialkoff & Amichai Kerner & Miryam Kerner, 2022. "Do population density, socio-economic ranking and Gini Index of cities influence infection rates from coronavirus? Israel as a case study," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 181-206, February.
  57. Chen‐Nan Liao & Ying‐Ju Chen & Vincent (Pei‐Ming) Chen, 2023. "Spread and control of medical rumors in a social network: A generalized diffusion model with a highly asymmetric network structure," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3683-3698, November.
  58. Xiaoyan Mu & Anthony Gar-On Yeh & Xiaohu Zhang, 2021. "The interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year," Environment and Planning B, , vol. 48(7), pages 1955-1971, September.
  59. Chiyori T Urabe & Gouhei Tanaka & Kazuyuki Aihara & Masayasu Mimura, 2016. "Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-16, December.
  60. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2020. "Optimal Lockdown in a Commuting Network," Working Papers 2020-36, Princeton University. Economics Department..
  61. Richard C. Larson, 2007. "Simple Models of Influenza Progression Within a Heterogeneous Population," Operations Research, INFORMS, vol. 55(3), pages 399-412, June.
  62. Xin Li & Lin Zhou & Tao Jia & Ran Peng & Xiongwu Fu & Yuliang Zou, 2020. "Associating COVID-19 Severity with Urban Factors: A Case Study of Wuhan," IJERPH, MDPI, vol. 17(18), pages 1-20, September.
  63. Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
  64. Jayanthi Rajarethinam & Janet Ong & Shi-Hui Lim & Yu-Heng Tay & Wacha Bounliphone & Chee-Seng Chong & Grace Yap & Lee-Ching Ng, 2019. "Using Human Movement Data to Identify Potential Areas of Zika Transmission: Case Study of the Largest Zika Cluster in Singapore," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
  65. Kathryn Glass & Peter W. Tait & Elizabeth G. Hanna & Keith Dear, 2015. "Estimating Risks of Heat Strain by Age and Sex: A Population-Level Simulation Model," IJERPH, MDPI, vol. 12(5), pages 1-15, May.
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