{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T16:38:30Z","timestamp":1726159110778},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030982591"},{"type":"electronic","value":"9783030982607"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-98260-7_25","type":"book-chapter","created":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T08:17:52Z","timestamp":1648801072000},"page":"397-416","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Operationalizing a Medical Intelligence Platform for Humanitarian Security in Protracted Crises"],"prefix":"10.1007","author":[{"given":"Walter","family":"David","sequence":"first","affiliation":[]},{"given":"Michelle","family":"King-Okoye","sequence":"additional","affiliation":[]},{"given":"Gianluca","family":"Sensidoni","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Capone","sequence":"additional","affiliation":[]},{"given":"Irene","family":"Mugambwa","sequence":"additional","affiliation":[]},{"given":"Stanislava","family":"Kraynova","sequence":"additional","affiliation":[]},{"given":"Beatriz","family":"Garmendia-Doval","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,2]]},"reference":[{"key":"25_CR1","unstructured":"United Nations OCHA: World Humanitarian Data and Trends (2018). https:\/\/www.un-ilibrary.org\/content\/periodicals\/24118419. Accessed 23 May 2021"},{"key":"25_CR2","unstructured":"United Nations OCHA: Global Humanitarian Overview (2021). https:\/\/reliefweb.int\/sites\/reliefweb.int\/files\/resources\/GHO2021_EN.pdf. Accessed 23 May 2021"},{"key":"25_CR3","unstructured":"Food and Agriculture Organization of the United Nations \u2013 FAO: Agriculture on the proving grounds. Damage and loss (2021). http:\/\/www.fao.org\/home\/digital-reports\/disasters-in-agriculture\/en\/?utm_source=twitter&utm_medium=social+media&utm_campai. Accessed 23 May 2021"},{"key":"25_CR4","unstructured":"IDMC Coronavirus crisis: internal displacement. https:\/\/www.internal-displacement.org\/crises\/coronavirus. Accessed 10 June 2021"},{"key":"25_CR5","unstructured":"ND-GAIN Index Country Rankings. https:\/\/gain.nd.edu\/our-work\/country-index\/rankings\/. Accessed 10 June 2021"},{"key":"25_CR6","unstructured":"International Committee of Red Cross \u2013 ICRC: When rain turns to dust: understanding and responding to the combined impact of armed conflicts and the climate and environment crisis on people\u2019s lives (2020). https:\/\/reliefweb.int\/report\/world\/when-rain-turns-dust-understanding-and-responding-combined-impact-armed-conflicts. Accessed 23 July 2021"},{"key":"25_CR7","unstructured":"International Organization for Migration - IOM: Migration, Environment and Climate Change: assessing the evidence, Geneva (2009). https:\/\/publications.iom.int\/system\/files\/pdf\/migration_and_environment.pdf. Accessed 15 July 2021"},{"key":"25_CR8","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.gloenvcha.2018.12.003","volume":"54","author":"G Abel","year":"2019","unstructured":"Abel, G., Brottrager, M., Crespo Cuaresma, J., Muttarak, R.: Climate, conflict and forced migration. Glob. Environ. Chang. 54, 239\u2013249 (2019)","journal-title":"Glob. Environ. Chang."},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"IPPC: Global Warming of 1.5 \u00baC Special Report Ipcc.ch (2021). https:\/\/www.ipcc.ch\/sr15\/. Accessed 12 June 2021","DOI":"10.1017\/9781009157940"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Salkida, A.: Africa\u2019s vanishing Lake Chad (2021). https:\/\/www.un.org\/africarenewal\/magazine\/april-2012\/africa's-vanishing-lake-chad. Accessed 12 June 2021","DOI":"10.18356\/b31f3648-en"},{"key":"25_CR11","unstructured":"Institute for Security Studies: \u201cIslamic States Determined Expansion into Lake Chad Basin\u201d (2020). https:\/\/issafrica.org\/iss-today\/islamic-states-determined-expansion-into-lake-chad-basin. Accessed 23 Sept 2021"},{"key":"25_CR12","unstructured":"International Organization for Migration \u2013 IOM: World Migration Report 2020: Chapter 9 Human Mobility and Adaptation to Environmental Change. https:\/\/publications.iom.int\/books\/world-migration-report-2020-chapter-9. Accessed 15 July 2021"},{"key":"25_CR13","unstructured":"NATO: NATO Strategic Foresight Analysis Report, Regional Perspectives Report on North Africa and the Sahel (2018). https:\/\/www.act.nato.int\/futures-work. Accessed 12 June 2021"},{"key":"25_CR14","unstructured":"United Nations OCHA: Nigeria Humanitarian Response Plan (2021). www.humanitarianresponse.info\/en\/document\/nigeria-2021-humanitarian-response-plan-summary, https:\/\/www.humanitarianresponse.info\/en\/operations\/nigeria\/document\/nigeria-2021-humanitarian-needs-overview. Accessed 12 June 2021"},{"key":"25_CR15","unstructured":"Armed Conflict Location and Event Data Project \u2013 ACLED. https:\/\/acleddata.com\/#\/dashboard. Accessed 21 May 2021"},{"key":"25_CR16","unstructured":"International Organization for Migration \u2013 IOM: DTM Round 32\/33 Reports Nigeria, DTM human mobility in the context of environmental and climate change. Assessing current and recommended practices for analysis within DTM (2020). https:\/\/environmentalmigration.iom.int\/sites\/environmentalmigration\/files\/Human%20Mobility%20in%20the%20context%20of%20Environmental%20and%20Climate%20Change%20DTM-MECC%20%28002%29.pdf. Accessed 12 July 2021"},{"key":"25_CR17","unstructured":"Medicins Sans Frontiers \u2013 MSF: Lake Chad Crisis (2021). https:\/\/www.msf.org\/lake-chad-crisis-depth. Accessed 09 Sept 2021"},{"key":"25_CR18","unstructured":"United Nations OCHA: Nigeria Situation Report (2021). https:\/\/reports.unocha.org\/en\/country\/nigeria\/. Accessed 22 May 2021"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Liang, H., Zhu, J.J.H.: Big data, collection of (social media, harvesting). In: The International Encyclopedia of Communication Research Methods. Wiley, Hoboken (2017)","DOI":"10.1002\/9781118901731.iecrm0015"},{"key":"25_CR20","unstructured":"European Commission, Directorate-General for Communications Networks, Content and Technology, Ethics guidelines for trustworthy AI, Publications Office (2019). https:\/\/data.europa.eu\/doi\/10.2759\/177365. Accessed 14 June 2021"},{"key":"25_CR21","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1186\/s12911-020-01297-6","volume":"20","author":"D Zhang","year":"2020","unstructured":"Zhang, D., Yin, C., Zeng, J., et al.: Combining structured and unstructured data for predictive models: a deep learning approach. BMC Med. Inform. Decis. Making 20, 280 (2020)","journal-title":"BMC Med. Inform. Decis. Making"},{"key":"25_CR22","unstructured":"Kandikonda, S.: Artificial Intelligence and Data Science in Healthcare (2020). https:\/\/www.thedatasteps.com\/post\/data-science-in-healthcare. Accessed 08 June 2021"},{"key":"25_CR23","unstructured":"Expert Systems, Expert System Achieves a World First by Enhancing Different AI Capabilities Accelerating Human-Like Language Comprehension for Text Analytics (2021). https:\/\/www.prnewswire.com\/news-releases\/expert-system-achieves-a-world-first-by-enhancing-different-ai-capabilities-accelerating-human-like-language-comprehension-for-text-analytics-300647843.html. Accessed 05 Jan 2021"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"David, W., King-Okoye, M., Capone, A., Sensidoni, G., Piovan, S.E.: Harvesting social media with artificial intelligence for medical threats mapping and analytics. In: Proceedings of International Cartographic Association, vol. 4, p. 24 (2021)","DOI":"10.5194\/ica-proc-4-24-2021"},{"issue":"4","key":"25_CR25","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1080\/01972243.2014.915276","volume":"30","author":"S Lomborg","year":"2014","unstructured":"Lomborg, S., Bechmann, A.: Using APIs for data collection on social media. Inf. Soc. 30(4), 256\u2013265 (2014)","journal-title":"Inf. Soc."},{"key":"25_CR26","unstructured":"Twitter (2020). https:\/\/s22.q4cdn.com\/826641620\/files\/doc_financials\/2019\/q1\/Q1-2019-Slide-Presentation.pdf. Accessed 14 Jan 2021"},{"key":"25_CR27","unstructured":"The Royal Society: Explainable AI: the basics policy briefing (2019). https:\/\/royalsociety.org\/-\/media\/policy\/projects\/explainable-ai\/AI-and-interpretability-policy-briefing.pdf. Accessed 15 June 2021"},{"key":"25_CR28","doi-asserted-by":"publisher","unstructured":"Ahmad, I., Yousaf, M., Yousaf, S., Ahmad, M.O.: Fake news detection using machine learning ensemble methods. Complex. 2020, 11 p. (2020). Article ID 8885861. https:\/\/doi.org\/10.1155\/2020\/8885861","DOI":"10.1155\/2020\/8885861"},{"key":"25_CR29","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.procs.2018.10.171","volume":"141","author":"M Aldwairi","year":"2018","unstructured":"Aldwairi, M., Alwahedi, A.: Detecting fake news in social media networks. Procedia Comput. Sci. 141, 215\u2013222 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"25_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/978-3-030-70740-8_6","volume-title":"Modelling and Simulation for Autonomous Systems","author":"W David","year":"2021","unstructured":"David, W., Baldassi, F., Piovan, S.E., Hubervic, A., Corre, E.: Combining epidemiological and constructive simulations for robotics and autonomous systems supporting logistic supply in infectious diseases affected areas. In: Mazal, J., Fagiolini, A., Vasik, P., Turi, M. (eds.) MESAS 2020. LNCS, vol. 12619, pp. 86\u2013107. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-70740-8_6"},{"key":"25_CR31","doi-asserted-by":"crossref","unstructured":"David, W., et al.: Giving life to the map can save more lives. Wildfire scenario with interoperable simulations. In: Advances in Cartography and GIScience of the ICA, vol. 1, p. 3 (2021)","DOI":"10.5194\/ica-adv-1-4-2019"},{"key":"25_CR32","unstructured":"Goodness, C.: Data in the time of crisis (2021). https:\/\/unite.un.org\/blog\/data-time-crisis. Accessed 13 July 2021"},{"key":"25_CR33","unstructured":"U.S. Department of the Army. Medical Intelligence in a Theater of Operations: Field Manual 8-10-8 (1989). https:\/\/digitalcommons.unl.edu\/cgi\/viewcontent.cgi?article=1087&context=dodmilintel. Accessed 13 Jan 2021"},{"key":"25_CR34","unstructured":"WeRobotics. https:\/\/blog.werobotics.org\/2021\/01\/12\/teaming-up-with-pfizer-on-new-cargo-drone-project\/. Accessed 07 July 2021"}],"container-title":["Lecture Notes in Computer Science","Modelling and Simulation for Autonomous Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-98260-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T03:46:28Z","timestamp":1675136788000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-98260-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030982591","9783030982607"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-98260-7_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"2 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MESAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Modelling and Simulation for Autonomous Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mesas2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mscoe.org\/event\/mesas-2021\/","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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","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":"30","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":"2","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":"60% - 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","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":"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)"}}]}}