{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:39Z","timestamp":1740100239996,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61872215"],"award-info":[{"award-number":["61872215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533596","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["STSIR: A Spatial Temporal Pandemic Model with Mobility Data - A COVID-19 Study"],"prefix":"10.1109","author":[{"given":"Wang","family":"Pan","sequence":"first","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qipu","family":"Deng","sequence":"additional","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiadong","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenwu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Peng Cheng Laboratory,Department of Computer Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0140-6736(20)30260-9","article-title":"Nowcasting and forecasting the potential domestic and international spread of the 2019-ncov outbreak originating in wuhan, china: a modelling study","volume":"395","author":"joseph","year":"2020","journal-title":"The Lancet"},{"key":"ref11","article-title":"Covid-19 progression timeline and effectiveness of response-to-spread interventions across the united states","author":"liu","year":"2020","journal-title":"medRxiv"},{"key":"ref12","first-page":"1","article-title":"Optimizing hybrid spreading in metapopulations","volume":"5","author":"changwang","year":"2015","journal-title":"Scientific Reports"},{"key":"ref13","first-page":"1","article-title":"Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic","author":"aleta","year":"2020","journal-title":"medRxiv Preprint Server Health Sci"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0824-5"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1126\/science.abb8021","article-title":"Aggregated mobility data could help fight covid-19","volume":"368","author":"buckee","year":"2020","journal-title":"Science"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0832-5"},{"journal-title":"Predicting a Community's Flu Dynamics with Mobile Phone Data To cite this version HAL Id hal-01146198 Predicting a Community's Flu Dynamics with Mobile Phone Data","year":"2015","author":"farrahi","key":"ref17"},{"key":"ref18","article-title":"Mobility based SIR model for pandemics - with case study of COVID-19","author":"goel","year":"2020","journal-title":"ArXiv"},{"key":"ref19","article-title":"Private sources of mobility data under covid-19","author":"arnal","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2004978117"},{"key":"ref3","first-page":"700","article-title":"A contribution to the mathematical theory of epidemics","volume":"115","author":"kermack","year":"0","journal-title":"Proceedings of the Royal Society of London Series A Containing Papers of a Mathematical and Physical Character"},{"key":"ref6","article-title":"Estimating the efficacy of traffic blockage and quarantine for the epidemic caused by 2019-ncov (covid-19)","author":"li","year":"2020","journal-title":"medRxiv"},{"key":"ref5","article-title":"Evaluating new evidence in the early dynamics of the novel coronavirus covid-19 outbreak in wuhan, china with real time domestic traffic and potential asymptomatic transmissions","author":"zhou","year":"2020","journal-title":"medRxiv"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMc2003100"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41421-020-0148-0"},{"year":"0","key":"ref2"},{"year":"0","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmii.2020.03.026"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-00575-2"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1056\/NEJMoa2001316","article-title":"Early transmission dynamics in wuhan, china, of novel coronavirus-infected pneumonia","volume":"382","author":"qun","year":"2020","journal-title":"New England Journal of Medicine"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2284-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2602068"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","article-title":"Optimization by simulated annealing","volume":"220","author":"kirkpatrick","year":"1983","journal-title":"Science"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533596.pdf?arnumber=9533596","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T19:41:49Z","timestamp":1673293309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533596\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533596","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}