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Journal articles on the topic 'Early Warnig System'

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Author: Grafiati

Published: 14 March 2023

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1

LEE, EUI BHIN, and Dong Ha Kim. "A Study on the Early Warning System in the United States for the Prevention of School Dropouts." Korean Juvenile Protection Review 31, no. 4 (November 30, 2018): 129–58. http://dx.doi.org/10.35930/kjpr.31.4.5.

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2

Ranguelov, Boyko. "Marinegeohazards project – an early warning system in the BLACK SEA." Journal scientific and applied research 1, no. 1 (March 3, 2012): 14–22. http://dx.doi.org/10.46687/jsar.v1i1.11.

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The general frame of the BG-ROM MARINEGEOHAZARDS Project is considered. The Project is about set-up and implementation of the key core components of a regional early-warning system for marine geohazards of risk to the Romanian-Bulgarian Black Sea costal area The main focus is on the data and informa-tion about the investigations related to the creation of the marine geo hazards early warning system. The target topics are on the earthquakes, landslides, tsunamis, floods and similar natural hazards. Maps and schemas about the main hazards have been created for the Bulgaria-Romania cross border area – both in marine and coastal environment. The typology and quantification of the hazards and their dangerous elements support the key core elements selection and the infrastructure of the early warning system targeted to the population and society safety.

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3

陳厚全, 陳厚全, and 徐永年 Hou-Chaung Chen. "建置全院性「智慧化、行動化臨床早期預警系統(Early Warning System, EWS)」." 醫療品質雜誌 16, no. 5 (September 2022): 026–31. http://dx.doi.org/10.53106/199457952022091605004.

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<p>在醫療機構導入早期預警系統(Early Warning System, EWS)是全世界醫療照護的趨勢之一。本院獲得英國皇家醫師學會(Royal College of Physicians, RCP)授權，導入其發展的臨床早期預警系統(National Early Warning System, ver. 2, NEWS2)，並於2020年7月在醫院全面建置。</p> <p>本院自行開發的智慧化、行動化EWS除包含NEWS2外，亦納入ISBAR、qSOFA、互動式團隊溝通及社交媒體(LINE)實名登錄EWS的資安機制。除此之外，也調整醫療照護模式，建立EWS監控中心、臨床督導團隊(Medical Audit Team, MAT)及緊急應變團隊(Rapid Response Team, RRT)，能夠及早介入病情惡化病人的臨床治療，避免演變成醫療意外事故。</p> <p>導入EWS後的成果：1.非預期急救事件發生率降低31%、急救後死亡率降低50%；2.可即時掌握病人生理資訊，促進醫護溝通。</p> <p> </p><p>Implementation of early warning systems (EWSs) in medical institutions has become a healthcare trend worldwide. The case hospital received authorization from the Royal College of Physicians to implement its National Early Warning System ver. 2 (NEWS2). The hospital-wide implementation of the system was completed in July 2020. </p> <p>The hospital developed its own smart and mobile EWS system, in addition to NEWS2, and also adopted the ISBAR (identification, situation, background, assessment, recommendations) tool, the qSOFA (quick Sequential Organ Failure Assessment), interactive team communication, and used the LINE real-name registration mechanism to protect patient data. Also modified the hospital’s healthcare workflow to establish an EWS monitoring center, medical audit team, and rapid response teams, helping patients with deteriorated conditions to receive timely clinical retreatment to prevent medical accidents. </p> <p>After the EWSs were implemented, the incidence rate of unexpected CPR decreased by 31%, the mortality rate after CPR decreased by 50% as well as helped healthcare providers were well-timed to obtain patients’ physical information, and facilitate interprofessional communication.</p> <p> </p>

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4

Rajamäki, Jyri, and Vasilis Katos. "Information Sharing Models for Early Warning Systems of Cybersecurity Intelligence." Information & Security: An International Journal 46, no. 2 (2020): 198–214. http://dx.doi.org/10.11610/isij.4614.

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5

Debauche, Olivier, Meryem Elmoulat, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Pierre Manneback, and Frédéric Lebeau. "Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence**." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (March 1, 2021): 11–17. http://dx.doi.org/10.5383/juspn.15.02.002.

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Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serious risk of landslides. Monitoring these risky areas is particularly important for developing an Early Warning Systems (EWS). As matter of fact, the variety of landslides’ types make their monitoring a sophisticated task to accomplish. Indeed, each landslide area has its own specificities and potential triggering factors; therefore, there is no single device that can monitor all types of landslides. Consequently, Wireless Sensor Networks (WSN) combined with Internet of Things (IoT) allow to set up large-scale data acquisition systems. In addition, recent advances in Artificial Intelligence (AI) and Federated Learning (FL) allow to develop performant algorithms to analyze this data and predict early landslides events at edge level (on gateways). These algorithms are trained in this case at fog level on specific hardware. The novelty of the work proposed in this paper is the integration of Federated Learning based on Fog-Edge approaches to continuously improve prediction models.

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6

Zain, Noor Hayati Mohd. "Toward Rainfall Prediction Model for Early Warning System of Flood Disaster in Malaysia." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 541–50. http://dx.doi.org/10.5373/jardcs/v12sp4/20201520.

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7

Pisz, Iwona. "System wczesnego ostrzegania w zarządzaniu projektami jako narzędzie wspomagania osiągania sukcesu projektu." Gospodarka Materiałowa i Logistyka 2020, no. 3 (March 20, 2020): 39–44. http://dx.doi.org/10.33226/1231-2037.2020.3.6.

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8

Almén, Casper, Nicholas Hagström, and Jyri Rajamäki. "ECHO Early Warning System as a Preventive Tool against Cybercrime in the Energy Sector." Information & Security: An International Journal 53 (2022): 11–20. http://dx.doi.org/10.11610/isij.5301.

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9

Kraus, Josef. "Religious Extremism as a Cause of Armed Conflicts: Indicators and Early Warning Systems." Vojenské rozhledy 28, no. 4 (September 9, 2019): 16–25. http://dx.doi.org/10.3849/2336-2995.28.2019.03.016-025.

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10

PL, Ortiz Bulto. "Cuban Approaches to Climate and Health Studies in Tropics Early Warning System and Learned Lessons." Virology & Immunology Journal 5, no. 3 (August 2, 2021): 1–7. http://dx.doi.org/10.23880/vij-16000282.

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Infectious diseases are sensitive to variations and climate change, causing impacts on health systems in the countries. Current climatic conditions favor the appearance of outbreaks and the circulation of new viruses such as SARS COV2. To alert such dangers, the creation of specialized warning systems for the health sector from climatic conditions is currently a global priority. This requires intense collaboration between medical and environmental communication, with new work approaches and methods for forecasting, using integrated climatic and epidemiological information. The objective of this publication is to show the advances and experience of Cuban research and projections, in terms of approaches and methodological procedures for the studies of the relationships between climate and health for forecasting purposes. An Early Warning System for infectious diseases and their causative agents was created. This warning system strengthens the health sector surveillance system for decision-making

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11

Lei Ping, 雷萍, 邢晖 Xing Hui, 王娟锋 Wang Juanfeng, 王冰 Wang Bing, 黄丽刚 Huang Ligang, and 王金锁 Wang Jinsuo. "天基红外预警系统扫描相机预警探测能力研究." Infrared and Laser Engineering 51, no. 9 (2022): 20210977. http://dx.doi.org/10.3788/irla20210977.

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12

Semenza, Jan C., Joaquin Trinanes, Wolfgang Lohr, Bertrand Sudre, Margareta Löfdahl, Jaime Martinez-Urtaza, Gordon L. Nichols, and Joacim Rocklöv. "Environmental Suitability ofVibrioInfections in a Warming Climate: An Early Warning System." Environmental Health Perspectives 125, no. 10 (October 3, 2017): 107004. http://dx.doi.org/10.1289/ehp2198.

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13

Neher, Jon O. "Early warning systems." Evidence-Based Practice 16, no. 10 (October 2013): 3. http://dx.doi.org/10.1097/01.ebp.0000540477.22247.d2.

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14

Duncan, Kathy D., Christine McMullan, and Barbara M. Mills. "Early warning systems." Nursing 42, no. 2 (February 2012): 38–44. http://dx.doi.org/10.1097/01.nurse.0000410304.26165.33.

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&NA;. "Early warning systems." Nursing 42, no. 2 (February 2012): 44–45. http://dx.doi.org/10.1097/01.nurse.0000411139.23617.bd.

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16

Bourzac, Katherine. "Diagnosis: Early warning system." Nature 513, no. 7517 (September 10, 2014): S4—S6. http://dx.doi.org/10.1038/513s4a.

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17

O'Neill, Luke A. J. "Immunity's Early-Warning System." Scientific American 292, no. 1 (January 2005): 38–45. http://dx.doi.org/10.1038/scientificamerican0105-38.

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18

López-García, Juan-David, Yesid Carvajal-Escobar, and Angélica-María Enciso-Arango. "SISTEMAS DE ALERTA TEMPRANA CON ENFOQUE PARTICIPATIVO: UN DESAFÍO PARA LA GESTIÓN DEL RIESGO EN COLOMBIA." Luna Azul, no. 44 (April 13, 2017): 231–46. http://dx.doi.org/10.17151/luaz.2017.44.14.

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19

Kimera, David, and Shaban Tumwijukye. "Early River Flood-Warning System Based on Embedded Systems." East African Journal of Engineering 5, no. 1 (February 2, 2022): 1–27. http://dx.doi.org/10.37284/eaje.5.1.541.

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This paper details the design and construction of a Flood Warning System (FWS) for River Nyamwamba that has been prone to floods of a greater magnitude. The idea was developed on the principle that floods are a meteorological event that develops over time, and thus a need for sufficient time for people to evacuate, and to protect their lives and property. However, the range of existing FWSs have a tangle of conflicting requirements in terms of cost and reliability and have challenges from factors as diverse as technological and social. Built on Computer Embedded Systems, this study provides a cheaper and reliable FWS for a country like Uganda. River Nyamwamba flow was modelled with DEM, Topography sheets, river map, imageries, flow data, stage data, land use maps, and rainfall data. The data sets were conditioned and processed in a GIS environment using ArcGIS software and exported to the HECRAS program to perform a steady flow simulation of the river. High-risk areas were visualized that provided reliable river flow parameters that were used as input values for the design of the FWS. An Arduino programmed microcontrollers were used to control all input and output values regarding the modelled river. An ultrasonic sensor was used to monitor the normal flow, intermediate flow, and peak flood water levels. From this, the river stage was displayed onto an LCD screen at all times, an electronic SMS is sent to operators at intermediate flow, while an alarm is sounded at flood level.

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20

Wang, Wei. "The Study on the Bank Crisis Pre-Warning System Based on Balanced Scorecard." Advanced Materials Research 1042 (October 2014): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1042.286.

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This paper try to analysis the Structure of the China commercial bank’s Early Warning system based on the framework of the Balanced Scorecard, but not in the he traditional mode of banking supervision and crisis early warning. It is a totally new idea. This paper firstly analysis the deficiency of bank crisis pre-warning system. Then the feasibility and Superiority of using BSC in in bank crisis pre-warming system. At last, introduce the basic framework of the commercial bank Alarm system based on the Balanced Scorecard.

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21

Kamei, Masashi, Rahadian Gingging, Ariza Dinga, and Widi Winata. "Consideration of cost-efficient early warning system utilizing existing analogue radio broadcasting in Indonesia." MATEC Web of Conferences 229 (2018): 02005. http://dx.doi.org/10.1051/matecconf/201822902005.

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Early warning systems can increase disaster management capacity. Indonesia worked out the national development policy direction of 2015 – 2019 containing establishment of early warning systems. Japan is operating early warning systems using various ICT systems. Especially an emergency warning broadcasting system to activate corresponding receivers automatically is being operated since 1985. Considering a situation in Indonesia to develop early warning systems from now, an updated early warning broadcasting system can incorporate an earthquake early warning that can provide predicted seismic intensity in each location on the basis of an observed big earthquake prior to actual shaking. The updated system can be cost-efficiently deployed nationwide in Indonesia by combining existing analog radio broadcasting of the public radio network RRI and existing loudspeakers in mosques. Because definitive operation rules need to be established to operate the early warning systems effectively, an operation scenario to provide tsunami warnings is considered as the first step for Indonesia to utilize existing its Warning Receiver System in RRI stations.

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22

Hardjosuwarno, Sutikno. "Overall simulation of early warning system against debris flow in the upper Jeneberang River, South Sulawesi, Indonesia." International Journal of Academic Research 6, no. 2 (March 30, 2014): 156–63. http://dx.doi.org/10.7813/2075-4124.2014/6-2/a.25.

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23

Lin, Pei-Yang. "Earthquake Early Warning Systems." International Journal of Automation and Smart Technology 1, no. 2 (December 1, 2011): 27–34. http://dx.doi.org/10.5875/ausmt.v1i2.123.

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24

Gleeson, Matthew. "Earthquake Early Warning systems." Nature Reviews Earth & Environment 1, no. 2 (January 22, 2020): 84. http://dx.doi.org/10.1038/s43017-020-0028-z.

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25

Miskel, James F., and Richard J. Norton. "Humanitarian Early-Warning Systems." Global Governance: A Review of Multilateralism and International Organizations 4, no. 3 (July 28, 1998): 317–29. http://dx.doi.org/10.1163/19426720-00403005.

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26

Friedman, Alexander M. "Maternal Early Warning Systems." Obstetrics and Gynecology Clinics of North America 42, no. 2 (June 2015): 289–98. http://dx.doi.org/10.1016/j.ogc.2015.01.006.

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27

Chauhan, Drasti, Kashyap Dobariya, Pratik Gadhiya, and Bhavin Dhamecha. "Pre-Earthquake Early Warning System." International Journal of Computer Applications 181, no. 21 (October 17, 2018): 27–31. http://dx.doi.org/10.5120/ijca2018917929.

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28

Ji, Jian, Yufeng Gao, Qing Lü, Zhijun Wu, Weijie Zhang, and Chunshun Zhang. "China's early warning system progress." Science 365, no. 6451 (July 25, 2019): 332.1–332. http://dx.doi.org/10.1126/science.aay4550.

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29

Barlow, Gavin D., Dilip Nathwani, and Peter G. Davey. "Standardised early warning scoring system." Clinical Medicine 6, no. 4 (July 1, 2006): 422.3–423. http://dx.doi.org/10.7861/clinmedicine.6-4-422b.

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30

Subbe, Chris. "Standardised early warning scoring system." Clinical Medicine 6, no. 4 (July 1, 2006): 424. http://dx.doi.org/10.7861/clinmedicine.6-4-424.

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31

Showstack, Randy. "U.S. volcano early warning system." Eos, Transactions American Geophysical Union 86, no. 22 (2005): 210. http://dx.doi.org/10.1029/2005eo220004.

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32

Hesse, Malte, and Norbert Pohlmann. "European internet early warning system." International Journal of Electronic Security and Digital Forensics 2, no. 1 (2009): 1. http://dx.doi.org/10.1504/ijesdf.2009.023871.

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33

Aldhous, Peter. "UK sets 'early warning system'." Nature 355, no. 6359 (January 1992): 383. http://dx.doi.org/10.1038/355383b0.

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34

Bakun, W. H., F. G. Fischer, E. G. Jensen, and J. VanSchaack. "Early warning system for aftershocks." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 31, no. 6 (December 1994): 271. http://dx.doi.org/10.1016/0148-9062(94)90079-5.

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35

Zheng, Guihuan, Xun Zhang, Wei Shang, and Shanying Xu. "Macro finance early warning system." Frontiers of Computer Science in China 3, no. 2 (May 12, 2009): 226–34. http://dx.doi.org/10.1007/s11704-009-0024-4.

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36

Habig, Alec, and Kate Scholberg. "The Supernova Early Warning System." Nature Reviews Physics 2, no. 9 (July 29, 2020): 458–60. http://dx.doi.org/10.1038/s42254-020-0221-5.

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37

Scholberg, K. "The SuperNova Early Warning System." Astronomische Nachrichten 329, no. 3 (March 2008): 337–39. http://dx.doi.org/10.1002/asna.200710934.

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38

Marwick, C. "Influenza's distant early warning system." JAMA: The Journal of the American Medical Association 269, no. 10 (March 10, 1993): 1223b—1223. http://dx.doi.org/10.1001/jama.269.10.1223b.

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39

Marwick, Charles. "Influenza's Distant Early Warning System." JAMA: The Journal of the American Medical Association 269, no. 10 (March 10, 1993): 1223. http://dx.doi.org/10.1001/jama.1993.03500100013002.

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40

Ioannidis, Konstantinos, Jaco Serfontein, Julia Deakin, Melanie Bruneau, Anya Ciobanca, Leah Holt, Sarah Snelson, and Jan Stochl. "Early warning systems in inpatient anorexia nervosa: A validation of the MARSIPAN ‐based modified early warning system." European Eating Disorders Review 28, no. 5 (June 15, 2020): 551–58. http://dx.doi.org/10.1002/erv.2753.

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41

Steinmetz, T., U. Raape, S. Teßmann, C. Strobl, M. Friedemann, T. Kukofka, T. Riedlinger, E. Mikusch, and S. Dech. "Tsunami early warning and decision support." Natural Hazards and Earth System Sciences 10, no. 9 (September 6, 2010): 1839–50. http://dx.doi.org/10.5194/nhess-10-1839-2010.

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Abstract. An innovative newly developed modular and standards based Decision Support System (DSS) is presented which forms part of the German Indonesian Tsunami Early Warning System (GITEWS). The GITEWS project stems from the effort to implement an effective and efficient Tsunami Early Warning and Mitigation System for the coast of Indonesia facing the Sunda Arc along the islands of Sumatra, Java and Bali. The geological setting along an active continental margin which is very close to densely populated areas is a particularly difficult one to cope with, because potential tsunamis' travel times are thus inherently short. National policies require an initial warning to be issued within the first five minutes after an earthquake has occurred. There is an urgent requirement for an end-to-end solution where the decision support takes the entire warning chain into account. The system of choice is based on pre-computed scenario simulations and rule-based decision support which is delivered to the decision maker through a sophisticated graphical user interface (GUI) using information fusion and fast information aggregation to create situational awareness in the shortest time possible. The system also contains risk and vulnerability information which was designed with the far end of the warning chain in mind – it enables the decision maker to base his acceptance (or refusal) of the supported decision also on regionally differentiated risk and vulnerability information (see Strunz et al., 2010). While the system strives to provide a warning as quickly as possible, it is not in its proper responsibility to send and disseminate the warning to the recipients. The DSS only broadcasts its messages to a dissemination system (and possibly any other dissemination system) which is operated under the responsibility of BMKG – the meteorological, climatological and geophysical service of Indonesia – which also hosts the tsunami early warning center. The system is to be seen as one step towards the development of a "system of systems" enabling all countries around the Indian Ocean to have such early warning systems in place. It is within the responsibility of the UNESCO Intergovernmental Oceonographic Commission (IOC) and in particular its Intergovernmental Coordinating Group (ICG) to coordinate and give recommendations for such a development. Therefore the Decision Support System presented here is designed to be modular, extensible and interoperable (Raape et al., 2010).

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42

Lesjak, Martin. "Automatic early warning systems for the environment." Nuclear Technology and Radiation Protection 18, no. 2 (2003): 44–50. http://dx.doi.org/10.2298/ntrp0302044l.

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Computerized, continuous monitoring environmental early warning systems are complex networks that merge measurements with the information technology. Accuracy, consistency, reliability and data quality are their most important features. Several effects may disturb their characteristics: hostile environment, unreliable communications, poor quality of equipment nonqualified users or service personnel. According to our experiences, a number of measures should be taken to enhance system performances and to maintain them at the desired level. In the paper, we are presenting an analysis of system requirements, possible disturbances and corrective measures that give the main directives for the design, construction and exploitation of the environmental early warning systems. Procedures which ensure data integrity and quality are mentioned. Finally, the contemporary system approach based on the LAN/WAN network topology with Intranet/Internet software is proposed, together with case descriptions of two already operating systems, based on computer-network principle.

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43

Liu, Xianglan, Xusheng Zhao, and Qinghua Zhang. "Study on Early Warning System of Coal and Gas Outburst." Open Electrical & Electronic Engineering Journal 7, no. 1 (December 13, 2013): 116–22. http://dx.doi.org/10.2174/1874129001307010116.

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Coal and gas outburst is an extremely complex and serious gas dynamic phenomenon. Therefore, building an early warning system based on computer system, safety monitoring systems of coal mines and local area network is a precondition for effectively preventing coal and gas outburst. The early warning system for coal and gas outburst is a complicated system project and has blended together the coal mine safety theory, the information technology and the early warning technology. Combining the hardware conditions, organization management structures and characteristics of preventing outburst technology systems, this paper discusses the principle, logic structure and implementation process of gas outburst warning, devises the software and hardware structure of the warning system and therefore offers theoretical thought and methods for the forecasting of coal and gas outburst.

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44

Angermann, M., M. Guenther, and K. Wendlandt. "Communication architecture of an early warning system." Natural Hazards and Earth System Sciences 10, no. 11 (November 2, 2010): 2215–28. http://dx.doi.org/10.5194/nhess-10-2215-2010.

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Abstract. This article discusses aspects of communication architecture for early warning systems (EWS) in general and gives details of the specific communication architecture of an early warning system against tsunamis. While its sensors are the "eyes and ears" of a warning system and enable the system to sense physical effects, its communication links and terminals are its "nerves and mouth" which transport measurements and estimates within the system and eventually warnings towards the affected population. Designing the communication architecture of an EWS against tsunamis is particularly challenging. Its sensors are typically very heterogeneous and spread several thousand kilometers apart. They are often located in remote areas and belong to different organizations. Similarly, the geographic spread of the potentially affected population is wide. Moreover, a failure to deliver a warning has fatal consequences. Yet, the communication infrastructure is likely to be affected by the disaster itself. Based on an analysis of the criticality, vulnerability and availability of communication means, we describe the design and implementation of a communication system that employs both terrestrial and satellite communication links. We believe that many of the issues we encountered during our work in the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) on the design and implementation communication architecture are also relevant for other types of warning systems. With this article, we intend to share our insights and lessons learned.

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45

Murphy, Kieran, Claire Packer, Andrew Stevens, and Sue Simpson. "Effective early warning systems for new and emerging health technologies: Developing an evaluation framework and an assessment of current systems." International Journal of Technology Assessment in Health Care 23, no. 3 (June 19, 2007): 324–30. http://dx.doi.org/10.1017/s0266462307070493.

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Objectives: The aim of this study was to define an effective early warning system, to identify and rank the characteristics of an effective early warning system for emerging health technologies, and to evaluate current early warning systems against these characteristics.Methods: An iterative Delphi-type process with the thirteen members of the International Information Network on New and Changing Health Technologies (EuroScan). We synthesized key characteristics that network members had graded. Members were then asked whether these characteristics were present or fulfilled in their system.Results: The definition of an effective early warning system developed was the following: a system that identifies innovations in the field of health technology likely to have a significant impact; and disseminates information relevant to the needs of the customer which is timely, so as to enable appropriate decision making (such as resource allocation), facilitate appropriate adoption, and identify further research requirements. Five primary and eleven secondary components of effective early warning systems were identified. The five primary characteristics concerned relevance, independence, resourcing, a clear pathway for the outputs to reach decision makers, and defined customers. Although the primary characteristics were present or fulfilled to some extent in the majority of evaluated early warning systems, there was considerable variability in the presence of the secondary characteristics in the evaluated systems.Conclusions: Our study provides a definition for an effective early warning system and a shared understanding of the important characteristics and components of such systems. This work should provide guidance to those setting up new early warning systems as well as for those managing and reviewing current systems.

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46

Hamza, Mo, and Peter Månsson. "The human dimension of early warning – a viewpoint." International Journal of Disaster Resilience in the Built Environment 11, no. 2 (November 18, 2019): 263–74. http://dx.doi.org/10.1108/ijdrbe-07-2019-0040.

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Purpose The 2004 Boxing Day tsunami prompted global efforts to develop end-to-end multi-hazard warning systems. Taking this event as a starting point, and drawing on experiences from the following advancement of the Indonesian tsunami early warning system, this paper aims to highlight the importance of paying attention to human factors and the perceptions and behaviors of end recipients when trying to design efficient early warning systems. Design/methodology/approach The study is a viewpoint where theoretical frameworks for the design of efficient early warning systems are used as backdrop to an extensive review and analysis of secondary data, including scientific papers and newspaper articles. Findings The paper presents what an end-to-end warning system means, explores process problems related to perception and communication and concludes with views and recommendations toward more inclusive early warnings. Originality/value Research and practice related to early warning systems have traditionally had a strong focus on technological elements whilst the target groups of early warnings (i.e. communities) have received far less attention and resources. This paper focuses on the human dimension of warning systems and uses a real case to exemplify how efficient warning systems not only require a sound scientific and technological basis, but also depend on the awareness, trust and will of the people they aim to protect.

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Wächter, J., A. Babeyko, J. Fleischer, R. Häner, M. Hammitzsch, A. Kloth, and M. Lendholt. "Development of tsunami early warning systems and future challenges." Natural Hazards and Earth System Sciences 12, no. 6 (June 18, 2012): 1923–35. http://dx.doi.org/10.5194/nhess-12-1923-2012.

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Abstract. Fostered by and embedded in the general development of information and communications technology (ICT), the evolution of tsunami warning systems (TWS) shows a significant development from seismic-centred to multi-sensor system architectures using additional sensors (e.g. tide gauges and buoys) for the detection of tsunami waves in the ocean. Currently, the beginning implementation of regional tsunami warning infrastructures indicates a new phase in the development of TWS. A new generation of TWS should not only be able to realise multi-sensor monitoring for tsunami detection. Moreover, these systems have to be capable to form a collaborative communication infrastructure of distributed tsunami warning systems in order to implement regional, ocean-wide monitoring and warning strategies. In the context of the development of the German Indonesian Tsunami Early Warning System (GITEWS) and in the EU-funded FP6 project Distant Early Warning System (DEWS), a service platform for both sensor integration and warning dissemination has been newly developed and demonstrated. In particular, standards of the Open Geospatial Consortium (OGC) and the Organization for the Advancement of Structured Information Standards (OASIS) have been successfully incorporated. In the FP7 project Collaborative, Complex and Critical Decision-Support in Evolving Crises (TRIDEC), new developments in ICT (e.g. complex event processing (CEP) and event-driven architecture (EDA)) are used to extend the existing platform to realise a component-based technology framework for building distributed tsunami warning systems.

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Žilinskas, Raimundas, and Rimvydas Skyrius. "MANAGEMENT DECISION SUPPORTBY USING EARLY WARNING ENVIRONMENTS." Ekonomika 86 (January 1, 2009): 42–54. http://dx.doi.org/10.15388/ekon.2009.0.1056.

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Successful activities in a dynamic environment of today’s economy largely depend on the skills to have an adequate view of activity environment and its changes. The information activities of business decision makers relate their subjective potential of environment assessment and problem solving to the systems of environment monitoring and early warning, whose relevance is of expressed in various activities both at micro and macro levels. The paper discusses the features of the bank deposit insurance system in the Republic of Lithuania, its information needs and the role of early warning systems in its activities. Also, the paper examines a prototype of an early warning system in the Deposit Insurance Scheme of the Republic of Lithuania and the conditions for its application. There are specific groups of decision-important information and relations between their estimates. The proposed way of applying a composite set of decision criteria can be transferred to similar systems in other fields of activity.p>

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Friedman, Alexander, Mary Campbell, Carolyn Kline, Suzanne Wiesner, Mary D'Alton, and Laurence Shields. "Implementing Obstetric Early Warning Systems." American Journal of Perinatology Reports 08, no. 02 (April 2018): e79-e84. http://dx.doi.org/10.1055/s-0038-1641569.

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AbstractSevere maternal morbidity and mortality are often preventable and obstetric early warning systems that alert care providers of potential impending critical illness may improve maternal safety. While literature on outcomes and test characteristics of maternal early warning systems is evolving, there is limited guidance on implementation. Given current interest in early warning systems and their potential role in care, the 2017 Society for Maternal-Fetal Medicine (SMFM) Annual Meeting dedicated a session to exploring early warning implementation across a wide range of hospital settings. This manuscript reports on key points from this session. While implementation experiences varied based on factors specific to individual sites, common themes relevant to all hospitals presenting were identified. Successful implementation of early warnings systems requires administrative and leadership support, dedication of resources, improved coordination between nurses, providers, and ancillary staff, optimization of information technology, effective education, evaluation of and change in hospital culture and practices, and support in provider decision-making. Evolving data on outcomes on early warning systems suggest that maternal risk may be reduced. To effectively reduce maternal, risk early warning systems that capture deterioration from a broad range of conditions may be required in addition to bundles tailored to specific conditions such as hemorrhage, thromboembolism, and hypertension.

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Hodges, Kip. "Building better early warning systems." Science 359, no. 6382 (March 22, 2018): 1373.1–1373. http://dx.doi.org/10.1126/science.359.6382.1373-a.

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