{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T04:23:08Z","timestamp":1745986988713,"version":"3.40.4"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030461324"},{"type":"electronic","value":"9783030461331"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-46133-1_26","type":"book-chapter","created":{"date-parts":[[2020,4,30]],"date-time":"2020-04-30T20:02:49Z","timestamp":1588276969000},"page":"432-448","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting"],"prefix":"10.1007","author":[{"given":"Ali Mert","family":"Ertugrul","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Ru","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tugba","family":"Taskaya-Temizel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,30]]},"reference":[{"issue":"2","key":"26_CR1","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.avb.2008.02.001","volume":"13","author":"T Bennett","year":"2008","unstructured":"Bennett, T., Holloway, K., Farrington, D.: The statistical association between drug misuse and crime: a meta-analysis. Aggress. Violent Behav. 13(2), 107\u2013118 (2008)","journal-title":"Aggress. Violent Behav."},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1126\/science.aal2943","volume":"354","author":"DS Burke","year":"2016","unstructured":"Burke, D.S.: Forecasting the opioid epidemic. Science 354, 529 (2016)","journal-title":"Science"},{"issue":"1","key":"26_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1140\/epjds\/s13688-019-0183-y","volume":"8","author":"AM Ertugrul","year":"2019","unstructured":"Ertugrul, A.M., Lin, Y.-R., Chung, W.-T., Yan, M., Li, A.: Activism via attention: interpretable spatiotemporal learning to forecast protest activities. EPJ Data Sci. 8(1), 1\u201326 (2019). https:\/\/doi.org\/10.1140\/epjds\/s13688-019-0183-y","journal-title":"EPJ Data Sci."},{"key":"26_CR4","unstructured":"Ertugrul, A.M., Lin, Y.R., Mair, C., Taskaya Temizel, T.: Forecasting heroin overdose occurrences from crime incidents. In: SBP-BRiMS (2018)"},{"key":"26_CR5","unstructured":"Ghaderi, A., Sanandaji, B.M., Ghaderi, F.: Deep forecast: deep learning-based spatio-temporal forecasting. arXiv preprint arXiv:1707.08110 (2017)"},{"issue":"3","key":"26_CR6","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/s10708-011-9427-5","volume":"78","author":"PJ Gruenewald","year":"2013","unstructured":"Gruenewald, P.J.: Geospatial analyses of alcohol and drug problems: empirical needs and theoretical foundations. GeoJournal 78(3), 443\u2013450 (2013)","journal-title":"GeoJournal"},{"issue":"9","key":"26_CR7","doi-asserted-by":"publisher","first-page":"1029","DOI":"10.1111\/j.1360-0443.1989.tb00786.x","volume":"84","author":"R Hammersley","year":"1989","unstructured":"Hammersley, R., Forsyth, A., Morrison, V., Davies, J.B.: The relationship between crime and opioid use. Addiction 84(9), 1029\u20131043 (1989)","journal-title":"Addiction"},{"issue":"8","key":"26_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Huang, C., Zhang, J., Zheng, Y., Chawla, N.V.: DeepCrime: attentive hierarchical recurrent networks for crime prediction. In: ACM CIKM, pp. 1423\u20131432 (2018)","DOI":"10.1145\/3269206.3271793"},{"issue":"6408","key":"26_CR10","doi-asserted-by":"publisher","first-page":"eaau1184","DOI":"10.1126\/science.aau1184","volume":"361","author":"H Jalal","year":"2018","unstructured":"Jalal, H., Buchanich, J.M., Roberts, M.S., Balmert, L.C., Zhang, K., Burke, D.S.: Changing dynamics of the drug overdose epidemic in the united states from 1979 through 2016. Science 361(6408), eaau1184 (2018)","journal-title":"Science"},{"issue":"2","key":"26_CR11","doi-asserted-by":"publisher","first-page":"291","DOI":"10.2105\/AJPH.2015.302953","volume":"106","author":"A Kennedy-Hendricks","year":"2016","unstructured":"Kennedy-Hendricks, A., Richey, M., McGinty, E.E., Stuart, E.A., Barry, C.L., Webster, D.W.: Opioid overdose deaths and Florida\u2019s crackdown on pill mills. Am. J. Public Health 106(2), 291\u2013297 (2016)","journal-title":"Am. J. Public Health"},{"issue":"8","key":"26_CR12","doi-asserted-by":"publisher","first-page":"e32","DOI":"10.2105\/AJPH.2014.301966","volume":"104","author":"NB King","year":"2014","unstructured":"King, N.B., Fraser, V., Boikos, C., Richardson, R., Harper, S.: Determinants of increased opioid-related mortality in the united states and Canada, 1990\u20132013: a systematic review. Am. J. Public Health 104(8), e32\u2013e42 (2014)","journal-title":"Am. J. Public Health"},{"key":"26_CR13","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1146\/annurev-publhealth-031914-122957","volume":"36","author":"A Kolodny","year":"2015","unstructured":"Kolodny, A., Courtwright, D.T., Hwang, C.S., Kreiner, P., Eadie, J.L., Clark, T.W., Alexander, G.C.: The prescription opioid and heroin crisis: a public health approach to an epidemic of addiction. Annu. Rev. Public Health 36, 559\u2013574 (2015)","journal-title":"Annu. Rev. Public Health"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Liang, Y., Ke, S., Zhang, J., Yi, X., Zheng, Y.: GeoMan: multi-level attention networks for geo-sensory time series prediction. In: IJCAI, pp. 3428\u20133434 (2018)","DOI":"10.24963\/ijcai.2018\/476"},{"key":"26_CR15","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.drugalcdep.2015.08.018","volume":"155","author":"M Pierce","year":"2015","unstructured":"Pierce, M., et al.: Quantifying crime associated with drug use among a large cohort of sanctioned offenders in England and Wales. Drug Alcohol Depend. 155, 52\u201359 (2015)","journal-title":"Drug Alcohol Depend."},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Qin, Y., Song, D., Cheng, H., Cheng, W., Jiang, G., Cottrell, G.W.: A dual-stage attention-based recurrent neural network for time series prediction. In: AAAI, pp. 2627\u20132633 (2017)","DOI":"10.24963\/ijcai.2017\/366"},{"issue":"4","key":"26_CR17","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1111\/ajt.13776","volume":"16","author":"RA Rudd","year":"2016","unstructured":"Rudd, R.A., Aleshire, N., Zibbell, J.E., Matthew Gladden, R.: Increases in drug and opioid overdose deaths\u2013United States, 2000\u20132014. Am. J. Transplantat. 16(4), 1323\u20131327 (2016)","journal-title":"Am. J. Transplantat."},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neucom.2017.02.029","volume":"241","author":"S Scardapane","year":"2017","unstructured":"Scardapane, S., Comminiello, D., Hussain, A., Uncini, A.: Group sparse regularization for deep neural networks. Neurocomputing 241, 81\u201389 (2017)","journal-title":"Neurocomputing"},{"issue":"4","key":"26_CR19","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1093\/bjc\/azi079","volume":"46","author":"T Seddon","year":"2005","unstructured":"Seddon, T.: Drugs, crime and social exclusion: social context and social theory in british drugs-crime research. Br. J. Criminol. 46(4), 680\u2013703 (2005)","journal-title":"Br. J. Criminol."},{"key":"26_CR20","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NIPS, pp. 5998\u20136008 (2017)"},{"key":"26_CR21","first-page":"1","volume":"81","author":"M Warner","year":"2011","unstructured":"Warner, M., Chen, L.H., Makuc, D.M., Anderson, R.N., Mini\u00f1o, A.M.: Drug poisoning deaths in the United States, 1980\u20132008. NCHS Data Brief 81, 1\u20138 (2011)","journal-title":"NCHS Data Brief"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Zhao, L., Wang, J., Guo, X.: Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11676"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-46133-1_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T22:05:22Z","timestamp":1745964322000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-46133-1_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030461324","9783030461331"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46133-1_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"30 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"W\u00fcrzburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ecmlpkdd2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"733","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"130","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.04","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ECML PKDD Workshops Information: single-blind review, submissions: 200, full papers accepted: 70, short papers accepted: 46","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}