{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T05:59:39Z","timestamp":1771567179503,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T00:00:00Z","timestamp":1699833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFA071140"],"award-info":[{"award-number":["2020YFA071140"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2036"],"award-info":[{"award-number":["U21B2036"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2060"],"award-info":[{"award-number":["U20B2060"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171260"],"award-info":[{"award-number":["62171260"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship Program by CIC","award":["2021QNRC001"],"award-info":[{"award-number":["2021QNRC001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,13]]},"DOI":"10.1145\/3589132.3625586","type":"proceedings-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T17:33:25Z","timestamp":1703266405000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing Spatial Spread Prediction of Infectious Diseases through Integrating Multi-scale Human Mobility Dynamics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6927-245X","authenticated-orcid":false,"given":"Yinzhou","family":"Tang","sequence":"first","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6382-0861","authenticated-orcid":false,"given":"Huandong","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-1659","authenticated-orcid":false,"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2023,12,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110017"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0270-0255(86)90128-4"},{"key":"e_1_3_2_1_3_1","volume-title":"Amanda Ziemann, Geoffrey Fairchild, and Jeanne M Fair.","author":"Bartlow Andrew W","year":"2019","unstructured":"Andrew W Bartlow , Carrie Manore , Chonggang Xu , Kimberly A Kaufeld , Sara Del Valle , Amanda Ziemann, Geoffrey Fairchild, and Jeanne M Fair. 2019 . Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment. Veterinary sciences 6, 2 (2019), 40. Andrew W Bartlow, Carrie Manore, Chonggang Xu, Kimberly A Kaufeld, Sara Del Valle, Amanda Ziemann, Geoffrey Fairchild, and Jeanne M Fair. 2019. Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment. Veterinary sciences 6, 2 (2019), 40."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110388"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.623"},{"key":"e_1_3_2_1_6_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411975"},{"key":"e_1_3_2_1_8_1","volume-title":"Sangeeta Bhatia, Anne Cori, Pierre Nouvellet, Mark Herringer, Emily L Cohn, Malwina Carrion, John S Brownstein","author":"Desai Angel N","year":"2019","unstructured":"Angel N Desai , Moritz UG Kraemer , Sangeeta Bhatia, Anne Cori, Pierre Nouvellet, Mark Herringer, Emily L Cohn, Malwina Carrion, John S Brownstein , Lawrence C Madoff, et al. 2019 . Real-time epidemic forecasting: challenges and opportunities. Health security 17, 4 (2019), 268--275. Angel N Desai, Moritz UG Kraemer, Sangeeta Bhatia, Anne Cori, Pierre Nouvellet, Mark Herringer, Emily L Cohn, Malwina Carrion, John S Brownstein, Lawrence C Madoff, et al. 2019. Real-time epidemic forecasting: challenges and opportunities. Health security 17, 4 (2019), 268--275."},{"key":"e_1_3_2_1_9_1","unstructured":"Martin Eichenbaum Sergio T Rebelo and Mathias Trabandt. 2020. Epidemics in the neoclassical and new-Keynesian models. (2020).  Martin Eichenbaum Sergio T Rebelo and Mathias Trabandt. 2020. Epidemics in the neoclassical and new-Keynesian models. (2020)."},{"key":"e_1_3_2_1_10_1","volume-title":"Finding structure in time. Cognitive science 14, 2","author":"Elman Jeffrey L","year":"1990","unstructured":"Jeffrey L Elman . 1990. Finding structure in time. Cognitive science 14, 2 ( 1990 ), 179--211. Jeffrey L Elman. 1990. Finding structure in time. Cognitive science 14, 2 (1990), 179--211."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/PASSAT\/SocialCom.2011.142"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa322"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro1845"},{"key":"e_1_3_2_1_14_1","volume-title":"SEIR modeling of the COVID-19 and its dynamics. Nonlinear dynamics 101","author":"He Shaobo","year":"2020","unstructured":"Shaobo He , Yuexi Peng , and Kehui Sun . 2020. SEIR modeling of the COVID-19 and its dynamics. Nonlinear dynamics 101 ( 2020 ), 1667--1680. Shaobo He, Yuexi Peng, and Kehui Sun. 2020. SEIR modeling of the COVID-19 and its dynamics. Nonlinear dynamics 101 (2020), 1667--1680."},{"key":"e_1_3_2_1_15_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(21)00557-9"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1524261113"},{"key":"e_1_3_2_1_18_1","volume-title":"Examining covid-19 forecasting using spatio-temporal graph neural networks. arXiv preprint arXiv:2007.03113","author":"Kapoor Amol","year":"2020","unstructured":"Amol Kapoor , Xue Ben , Luyang Liu , Bryan Perozzi , Matt Barnes , Martin Blais , and Shawn O'Banion . 2020. Examining covid-19 forecasting using spatio-temporal graph neural networks. arXiv preprint arXiv:2007.03113 ( 2020 ). Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, and Shawn O'Banion. 2020. Examining covid-19 forecasting using spatio-temporal graph neural networks. arXiv preprint arXiv:2007.03113 (2020)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i6.16615"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1009149"},{"key":"e_1_3_2_1_21_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Moritz UG Kraemer Nick Golding Dionisio Bisanzio Samir Bhatt David M Pigott SE Ray OJ Brady JS Brownstein NR Faria DAT Cummings etal 2019. Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings. Scientific reports 9 1 (2019) 5151.  Moritz UG Kraemer Nick Golding Dionisio Bisanzio Samir Bhatt David M Pigott SE Ray OJ Brady JS Brownstein NR Faria DAT Cummings et al. 2019. Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings. Scientific reports 9 1 (2019) 5151.","DOI":"10.1038\/s41598-019-41192-3"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1890\/09-1409.1"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/jtm\/taac037"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2868970"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2021.638724"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-24732-2"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110088"},{"key":"e_1_3_2_1_29_1","volume-title":"arXiv preprint arXiv:2003.11221","author":"Toda Alexis Akira","year":"2020","unstructured":"Alexis Akira Toda . 2020. Susceptible-infected-recovered (sir) dynamics of covid-19 and economic impact. arXiv preprint arXiv:2003.11221 ( 2020 ). Alexis Akira Toda. 2020. Susceptible-infected-recovered (sir) dynamics of covid-19 and economic impact. arXiv preprint arXiv:2003.11221 (2020)."},{"key":"e_1_3_2_1_30_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_31_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Veli\u010dkovi\u0107 Petar","year":"2017","unstructured":"Petar Veli\u010dkovi\u0107 , Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Veli\u010dkovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019607"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-021-00712-2"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.21037\/jtd.2020.02.64"},{"key":"e_1_3_2_1_35_1","volume-title":"Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems 31","author":"Ying Zhitao","year":"2018","unstructured":"Zhitao Ying , Jiaxuan You , Christopher Morris , Xiang Ren , Will Hamilton , and Jure Leskovec . 2018. Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems 31 ( 2018 ). Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, and Jure Leskovec. 2018. Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.79"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Juanjuan Zhang Maria Litvinova Yuxia Liang Yan Wang Wei Wang Shanlu Zhao Qianhui Wu Stefano Merler C\u00e9cile Viboud Alessandro Vespignani etal 2020. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science 368 6498 (2020) 1481--1486.  Juanjuan Zhang Maria Litvinova Yuxia Liang Yan Wang Wei Wang Shanlu Zhao Qianhui Wu Stefano Merler C\u00e9cile Viboud Alessandro Vespignani et al. 2020. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science 368 6498 (2020) 1481--1486.","DOI":"10.1126\/science.abb8001"}],"event":{"name":"SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems","location":"Hamburg Germany","acronym":"SIGSPATIAL '23","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625586","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589132.3625586","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:15Z","timestamp":1750178175000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":37,"alternative-id":["10.1145\/3589132.3625586","10.1145\/3589132"],"URL":"https:\/\/doi.org\/10.1145\/3589132.3625586","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-12-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}