This page will provide you with a broad range of articles that are relevant for different aspects of the S-HELP project.

ABOUELJINANE, L., SAHIN, E. and JEMAI, Z.(2013) A review on simulation models applied to emergency medical service operations. Computers & Industrial Engineering [Online] 66 (4), 734-750. Available from:
ABAD-GRAU, M. M. et al. (2008) Evolution and challenges in the design of computational systems for triage assistance. Journal of Biomedical Informatics [Online]  41 (3), 432-441.  Available from: www.sciencedirect/science/article/pii/S1532046408000130.
ADEYEMI, S., DEMIR, E. and CHAUSSALET, T. (2013) Towards an evidence-based decision making healthcare system management: Modelling patient pathways to improve clinical outcomes. Decision Support Systems [Online] 55 (1), 117-125. Available from:
AKTAS, e., ULENGIN, F. and SAHIN, S. O. (2007) A decision support system to improve the efficiency of resource allocation in healthcare management. Socio-Economic Planning Sciences [Online] 41 (2), 130-146. Available from: www.sciencedirect/science/article/pii/S0038012105000480.  
ANTONOPOULOU, E. et al. (2010) Web and mobile technologies in a prototype DSS for major field crops. Computer and Electronics in Agriculture [Online] 70 (2), 292-301. Available from:
ARAZ, O. M. and JEHN, M. (2013) Improving public health emergency preparedness through enhanced decision-making environments: A simulation and survey based evaluation. Technological Forecasting & Social Change [Online] 80 (9), 1775-1781. Available from:
ARORA, H., Raghu, T. S. and VINZE, A. (2010) Resource allocation for demand surge mitigation during disaster response. Decision Support Systems [Online] 50 (1), 304-315. Available from: 
ASCHENBRUCK, N., GERHARDS-PADILLA, E. and MARTINI, P. (2009) Modeling mobility in disaster area scenarios. Performance Evaluation [Online] 66 (12), 773-790. Available from:
BEKTAS, T.  (2006) The multiple travelin salesman problem: an overview of formulations and solution procedures. Omega [Online] 34 (3), 209-219. Available from:
BEN-TAL, A. et al. (2011) Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B: Methodological [Online] 45 (8), 1177-1189. Available from:
BERKOUNE, D. et al (2012) Transportation in disaster response operations. Socio-Economic Planning Sciences [Online] 46 (1), 23-32. Available from:
BLISTANOVA, M. et al (2014) Data Preparation for Logistic Modeling of Flood Crisis Management. Procedia Engineering [Online] 69, 1529-1533. Available from:
BOSE, R. (2003) Knowledge management-enabled health care management systems: capabilities, infrastructure, and decision-support. Expert Systems with Applications [Online] 24 (1), 59-71. Available from:
CHATTERJEE, S. et al. (2009) Examining the success factors for mobile work in healthcare: A deductive study. Decision Support Systems [Online] 46 (3), 620-633. Available from:
CHEN, A. Y., PEÑA-Mora, F. and OUYANG, Y. (2011) A collaborative GIS framework to support equipment distribution for civil engineering disaster response operations. Automation in Construction [Online] 20 (5), 637-648. Available from:
DEAK, G. et al. (2013) IoTs (Internet of Things) and DfPL (Device-free Passive Localisation) in a disaster management scenario. Simulation Modelling Practice and Theory [Online] 35, 86-96. Available from:
de LANEROLLE, T. R. et al. (2010) Development of a virtual dashboard for event coorination between multiple groups. In: 7th International ISCRAM Conference, May 2010,Seattle, USA. Available from:
DORASAMY, M., RAMAN, M. and KALIANNAN, M. (2013) Knowledge management systems in support of disasters management: A two decade review. Technological Forecasting & Social Change [Online] 80 (9), 1834-1853. Available from:
ADAM F. and HUMPHREYS P. (2008) Encyclopedia of Decision Making and Decision Support Technologies (2 Volumes). Hershey,  Information Science Reference.
FRIEDRICH, F., GEHBAUER, F. and RICKERS, U. (2000) Optimised resource allocation for emergency response after earthquake disasters. Safety Science [Online] 35 (1-3), 41-57. Available from:
FOGLI, D. and GUIDA, G. (2013) Knowledge-centered design of decision support systems for emergency management. Decision Support Systems [Online] 55 (1), 336-347. Available from:
GUPTA, A. and SHARDA, R. (2013) Improving the science of healthcare delivery and informatics using modeling approaches. Decision Support Systems [Online] 55 (2), 423-427. Available from:
HADIGUNA, R. A. et al. (2014) Implementing a web-based decision support system for disaster logistics: A case study of an evacuation location assessment for Indonesia. International Journal of Disaster Risk Reduction [Online] 9, 38-47. Available from:

HAMEDI, M., HAGHANI, A. and YANG, S. (2012) Reliable Transportation of Humanitarian Supplies in Disaster Response: Model and Heuristic. Procedia - Social and Behavioral Sciences [Online] 54, 1205-1219. Available from:

HERNANTES, J. et al. (2013). Learning before the storm: Modeling multiple stakeholder activities in support of crisis management, a practical case. Technological Forecasting & Social Change [Online] 80 (9), 1742-1755. Available from:
HRISTIDIS, V. et al. (2010). Survey of data management and analysis in disaster situations. Journal of Systems and Software [Online] 83 (10), 1701-1714. Available from:
HUANG, M., SMILOWITZ, K. and BALCIK, B. (2012) Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E [Online] 48 (1), 2-18. Available from:
IVGIN, M. (2013) The decision-making models for relief asset management and interaction with disaster mitigation. Int. Journal of Disaster Risk Reduction [Online] 5, 107-116. Available from:
JUNGLAS, I., ABRAHAM, C. and IVES, B. (2009) Mobile technology at the fronlines of patient care: Understanding fit and human drives in utilization decisions and performance. Decision Support Systems [Online], 46 (3), 634-647. Available from:
KADRI, F., CHAABANE, S. and TAHON, C. (2014) A simulation-based decision support system to prevent and predict strain situations in emergency department systems. Simulation Modelling Practice and Theory [Online] 42, 32-52. Available from:
KOHLI, R. and DEVARAJ, S. (2004) Contribution of institutional DSS to organizational performance: evidence from a longitudinal study. Decision Support Systems [Online] 37 (1), 103-118. Available from:
KULAWINAK, M. and LUBNIEWSKI, Z. (2013) Safe City - A GIS-based tool profiled for supporting decision making in urban development and infrastructure protection. Technological Forecasting & Social Change [Online], In Press. Available Online from:
KUMAR, S. and HAVEY, T. (2013) Before and after disaster strikes: A relief supply chain decision support framework. Int. J. Production Economics [Online] 145 (2), 613-629. Available from:
LEE, Y. M. (2009) Simulating Distribution of Emergency Relief Supplies for Disaster Response Opperations. Proceeding of the 2009 Winter Simulations Conference, 2797-2808. Available from:
LEIFLER, O. (2008) Combining Technical and Human-Centered Strategies for Decision Support in Command and Control: The ComPlan Approach. Proceedings of the 5th International ISCRAM Conference. Available from:
LI, P. et al. (2014) Monte Carlo simulation-based dynamic mixed integer nonlinear programming for supporting oil recovery and decvices allocation during offshore oil spill responses. Ocean & Coastal Managemnent [Online] 89, 58-70. Available from:
LI, J.P. A case study of private-public collaboration for humanitarian free and open source disaster management software deployment. Decision Support Systems [Online] 55 (1), 1-11. Available from:
LIBERATORE, F. et al. (2014) A hierarchical compromis model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research [Online] 42, 3-13. Available from:
MINIATI, R., CAPONE, P. and HOSSER, D. (2014). Decision support system for rapid seismic risk mitigation of hospital systems: Comparion between models and countries. Int. Journal of Disaster Risk Reduction [Online] 9, 12-25. Available from:
MINUTOLO, A., ESPOSITO, M. and DE PIETRO, G. (2012) A pattern-based knowledge editing system for building clinical Decision Support Systems. Knowledge-Based Systems [Online] 35, 120-131. Available from:
OLORUNTOBA, R. (2013) Plans never go according to plan: An empirical analysis of challenges to plans during the 2009 Victoria bushfires. Technological Forecasting and Social Change [Online] 80 (9), 1674-1702. Available from:
RAO, M. et al. (2007) A web-based GIS Decision Support System for managing and planning USDA's Conseration Reserve Program (CRP). Environmental Modelling & Software [Online] 22 (9), 1270-1280. Available from:
RODRÍGUEZ, J.T., VITORIANO, B. and MONTERO, J. (2010) A natural-disaster management DSS for Humanitarian Non-Governmental Organisations. Knowledge-Based Systems [Online] 23 (1), 17-22. Available from:
RODRÍGUEZ, J.T., VITORIANO, B. and MONTERO, J. (2012) A general methodology for data-based rule building and its application to natural disaster management. Computers & Operations Research [Online] 39 (4), 863-873. Available from:
ROLLAND, E. et al. (2010) Decision support for disaster management. Operations Management Research [Online] 3 (1-2), 68-79. Available from:
SAAD, N. and KADIRKAMANATHAN, V. (2006) A DES approach for the contextual load modelling of supply chain system for instability analysis. Simulation Medelling Practice and Theory [Online] 14 (5), 541-563. Available from:
SCHRYEN, G. and WEX, F. (2012) IS Design Thinking in Disaster Management Research. 45th International Conference on System Sciences [Online], 4102-4111. Avaibalbe from:
SEN, A. et al. (2012) Clinical decision support: Converging toward an integrated architecture. Journal of Biomedical Informatics [Online] 45 (5), 1009-1017. Available from:
SPAULDING, T.J. et al. (2013) Event sequence modeling of IT adoption in healthcare. Decision Support Systems [Online] 55 (2), 428-437. Available from:
SUH, W., HUNTER, M.P. and FUJIMOTO, R. (2014) Ad hoc distributed simulation for transportation system monitoring and near-term prediction. Simulation Modelling Practice and Theory [Online] 41, 1-14. Available from:
VARSHNEY, U. et al. (2014) A model for improving quality of decisions in mobile health. Decision Support Systems [Online] 62, 66-77. Available from:
VELASQUEZ, J.D., YOON, S.W. and NOF, S.Y. (2010) Computer-based collaborative training for transportation security and emergency response. Computers in Industry [Online] 61 (4), 380-389. Availbable from:
VESCOUKIS, V., DOULAMIS, N. and KARAGIORGOU, S. (2012) A service oriented architecture for decision support systems in environmental crisis management. Future Generation Computer Systems [Online] 28 (3), 593-604. Available from:
WENDT, K., CORTÉS, A. and MARGALEF, T. (2013) Parameter calibration framework for environmental emergency models. Simulation Modelling Practice and Theory [Online] 31, 10-21. Availbable from:
WENG, M., LU, J. and REN, H. (2001) Unrelated parallel machine scheduling with setup consideration and total weighted completion time objective. Int. J. Production Economics [Online] 70 (3), 215-226. Available from:
WEX, F., SCHRYEN, G. and NEUMANN, D. (2013) Decision Modeling for Assignments of Collaborative Rescue Units during Emergency Response. 46th Hawaii International Conference on System Sciences, 166-175. Available from:
WEX, F. et al. (2014) Emergecy response in natural disaster management: Allocation and scheduling of rescue units. European Journal of Operational Research [Online] 235 (3), 697-708. Available from:
WIEDENER, M.J. and Horner, M.W. (2011). A hierarchical approach to modeling hurricane disaster relief goods distribution. Journal of Transport Geography [Online] 19 (4), 821-828. Available from:
WU, I., LI, J. and FU, C. (2011) The adoption of mobile healthcare by hospital's professionals: An integrative perspective. Decision Support Systems [Online] 51 (3), 587-596. Available from:
XU, M., WONG, T.C. and CHIN, K.S. (2013) Modeling daily patient arrivals at Emergency Department and quantifying the relative importance of contributing variables using artificial neural network. Decision Support Systems [Online] 54 (3), 1488-1498. Available from:
YANG, L., YANG, S.H. and PLOTNICK, L. (2013) How the internet of things technology enhances emergency response operations. Technological Forecasting and Social Change [Online] 80 (9), 1854-1867. Available from:
YI, W. and ÖZDAMAR, L. (2007) A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research [Online] 179 (3), 1177-1193. Available from:
YI, T. and ZHU, Q. (2014) Simulation and application of disaster spread model in Chemical Disaster Network. Journal of Loss Prevention in the Process Industries [Online] 27, 130-137. Available from:
YOON, S.W. et al. (2008) Transportation security decision support system for emergency response: A training prototype. Decision Support Systems [Online] 46 (1), 139-148. Available from:
ZERGER, A. and INGLE SMITH, D. (2003) Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems [Online] 27 (2), 123-141. Available from: