A neurocognitive model of high anxiety trait in victims with post disasters experience

People with disasters experience are the most vulnerable victims of high anxiety trait. This behavior could develop overtime to pure anxiety if the individuals do not have any means of support. Hence, understanding this behaviour in the individuals is an essential means of unveiling anxiety emergence. Anxiety has been a phenomenon of focus over the years. Its manifestations have been extensively studied at the lower level of human functioning system (the body). Also, some researches have extended to the higher level of cognitive functions. Still, evidences showed that a precise approach have not been provided to elicit its emergence in human behavior. Meanwhile, extant literatures showed that anxiety disorders are the most prevalent psychological problems the world is facing today. More so, numerous numbers of people around the globe were suffering from these disorders. Therefore, this study examines how individuals with post disasters experience could develop anxiety by virtue of exposure to further events in the environment. This is a proactive measure to cater for wider emergence of anxiety disorders that might arise through disasters occurrence which is now a worldwide affair. This aspect was achieved through consideration for the role of neurocognitive mechanisms in the emergence of anxiety. The outcome of the investigation shows that, neurocognitive mechanisms play role in the emergence of anxiety. This was demonstrated through computational modeling concept to simulate those mechanisms identified through literatures and expert opinions. Increased activation of amygdala is observed to favor the development of anxiety while that of the prefrontal cortex favor the prevention of anxiety and vice versa. In addition, possible transformation of the individuals’ conditions was assessed using mathematical equations to show the possible changes overtim

Linking space syntax and cluster analysis to design and plan temporary housing neighborhoods: A taxonomy of sites in Norcia

Building Back Better in disaster recovery and reconstruction requires the adoption of integrated and context-sensitive approaches to the design and planning of Temporary Housing (TH) sites. However, there is a lack of methods for enabling successful outcomes in housing assistance provision, e.g. via a quantitative evaluation of the social-spatial qualities of the sites, and supporting the negotiation of urban design changes and the development of a coherent end-of-life plan. The paper aims to uncover formal analogies between different TH sites’ layouts by linking Space Syntax and Clustering analysis within an unsupervised machine-learning pipeline, which can consider a virtually unlimited number of configurational qualities and how they vary across different scales. The potential benefits of the proposal are illustrated through its application to the study of 20 TH sites built in Norcia after the 2016-2017 Central Italy earthquakes. The results indicate the proposal enables distinguishing different types of spatial arrangements according to local strategic priorities and suggest the opportunity to extend the study in the future to set up rules of thumb for the design of site layout options. The paper ultimately aims to equip local administrations and contracted professionals with a much-needed tool to develop and rapidly audit proposals for temporary neighbourhoods oriented at enhancing the resilience of disaster-affected towns both in the medium and in the long term

HEALTHCARE SC DALAM DISASTER OPERATION DI INDONESIA: STATE OF THE ART

Ketika terjadi bencana alam, korban baik yang meninggal, maupun yang selamat membutuhkan bantuan seperti makanan, air bersih, farmasi, tenda peralatan medis, dan tenaga medis. Saat terjadi bencana alam, bantuan untuk layanan kesehatan (healthcare) dapat dikategorikan menjadi relief goods, seperti barang medis dan service goods, seperti tim medis. Healthcare dalam kondisi normal berbeda dengan healthcare dalam kondisi bencana. Healthcare dalam kondisi bencana atau yang dikenal dengan healthcare dalam operasi kemanusiaan (humanitarian operation) memiliki sifat yang mendadak dan mendesak sehingga sulit untuk diprediksi. Operasi kemanusiaan pada umumnya membutuhkan jaringan supply chain (SC) yang terkait dengan healthcare, termasuk farmasi dan tenaga medis. Namun, tidak seperti healthcare pada umumnya, healthcare dalam operasi kemanusiaan memiliki sifat yang tiba-tiba dan mendesak, sehingga lebih sulit untuk diprediksi. Penelitian ini merupakan studi literatur terkait penelitian healthcare SC dalam operasi kemanusiaan. Penelitian-penelitian tersebut dikategorikan ke dalam tiga tema: healthcare, disaster, dan healthcare in natural disaster. Topik penelitian berisi Operation Management, Coordination Mechanism, Logistic Operation, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, dan Strategy Management. Tipe dari metode penelitian berisi Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual.  Abstract [Title: Healthcare SC in Disaster Operation in Indonesia: State of the Art] When a natural disaster occurs, there are always casualties. Both the dead and the survivors need assistance such as food, clean water, pharmacy, tent, medical equipment, and medical personnel. When a natural disaster occurs, assistance for healthcare can be categorized into relief goods, such as medical goods and service goods, such as medical teams. Healthcare under normal conditions is different from healthcare in disaster conditions. Healthcare in a disaster condition or known as healthcare in humanitarian operation, has a sudden and urgent nature, making it difficult to predict. The humanitarian operation generally requires a supply chain (SC) network related to healthcare, including pharmaceuticals and medical personnel. However, unlike healthcare in general, healthcare in humanitarian operations has a sudden and urgent nature, making it more difficult to predict. This paper is a literature study related to research in healthcare SC in humanitarian operations and can be categorized into three themes: healthcare, disaster, and healthcare in a natural disaster. The topic research contains Operation Management, Coordination Mechanism, Logistic Operation, Distribution, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, and Strategy Management The type of research methods contains Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual. Keywords: disasters; emergency; healthcare; resourc

Health Care Sc Dalam Disaster Operation Di Indonesia: State Of The Art

Ketika terjadi bencana alam, korban baik yang meninggal, maupun yang selamat membutuhkan bantuan seperti makanan, air bersih, farmasi, tenda peralatan medis, dan tenaga medis. Saat terjadi bencana alam, bantuan untuk layanan kesehatan (healthcare) dapat dikategorikan menjadi relief goods, seperti barang medis dan service goods, seperti tim medis. Healthcare dalam kondisi normal berbeda dengan healthcare dalam kondisi bencana. Healthcare dalam kondisi bencana atau yang dikenal dengan healthcare dalam operasi kemanusiaan (humanitarian operation) memiliki sifat yang mendadak dan mendesak sehingga sulit untuk diprediksi. Operasi kemanusiaan pada umumnya membutuhkan jaringan supply chain (SC) yang terkait dengan healthcare, termasuk farmasi dan tenaga medis. Namun, tidak seperti healthcare pada umumnya, healthcare dalam operasi kemanusiaan memiliki sifat yang tiba-tiba dan mendesak, sehingga lebih sulit untuk diprediksi. Penelitian ini merupakan studi literatur terkait penelitian healthcare SC dalam operasi kemanusiaan. Penelitian- penelitian tersebut dikategorikan ke dalam tiga tema: healthcare, disaster, dan healthcare in natural disaster. Topik penelitian berisi Operation Management, Coordination Mechanism, Logistic Operation, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, dan Strategy Management. Tipe dari metode penelitian berisi Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual. When a natural disaster occurs, there are always casualties. Both the dead and the survivors need assistance such as food, clean water, pharmacy, tent, medical equipment, and medical personnel. When a natural disaster occurs, assistance for healthcare can be categorized into relief goods, such as medical goods and service goods, such as medical teams. Healthcare under normal conditions is different from healthcare in disaster conditions. Healthcare in a disaster condition or known as healthcare in humanitarian operation, has a sudden and urgent nature, making it difficult to predict. The humanitarian operation generally requires a supply chain (SC) network related to healthcare, including pharmaceuticals and medical personnel. However, unlike healthcare in general, healthcare in humanitarian operations has a sudden and urgent nature, making it more difficult to predict. This paper is a literature study related to research in healthcare SC in humanitarian operations and can be categorized into three themes: healthcare, disaster, and healthcare in a natural disaster. The topic research contains Operation Management, Coordination Mechanism, Logistic Operation, Distribution, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, and Strategy Management The type of research methods contains Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual

An interdisciplinary system dynamics model for post-disaster housing recovery

Many previous disasters have demonstrated the need for extensive personal, public, and governmental expenditures for housing recovery highlighting the importance of studying housing recovery. Yet, much research is still needed to fully understand the multi-faceted and complex nature of housing recovery. The goal of this paper is to present a holistic model to further the understanding of the dynamic processes and interdependencies of housing recovery. The impetus for this work is that inequalities in housing recovery could be addressed more effectively if we better understood interconnected factors and dynamic processes that slow down recovery for some. Currently, there is a lack of understanding about such factors and processes. Literature from engineering and social sciences was reviewed to develop an integrated system dynamics model for post-disaster housing recovery. While it is beyond current capabilities to quantify such complexities, the presented model takes a major stride toward articulating the complex phenomenon that is housing recovery

A hybrid decision support system for managing humanitarian relief chains

Decisions regarding location, allocation and distribution of relief items are among the main concerns of the Humanitarian Relief Chain (HRC) managers in response to no-notice large-scale disasters such as earthquakes. In this paper, a Hybrid Decision Support System (HDSS) consisting of a simulator, a rule-based inference engine, and a knowledge-based system (KBS) is developed to configure a three level HRC. Three main performance measures including the coverage, total cost, and response time are considered to make an explicit trade-off analysis between cost efficiency and responsiveness of the designed HRC. In the first step, the simulator calculates the performance measures of the different configurations of the HRC under generated number of disaster scenarios. Then, the rule-based inference engine attempts to build the best configuration of the HRC including facilities’ locations, relief items’ allocation and distribution plan of the scenario under investigation based on calculated performance measures. Finally, the best configuration for each scenario is stored in the KBS as the extracted knowledge from the above analyses. In this way, the HRC managers can retrieve the most appropriate HRC configuration in accordance with the realized post-disaster scenario in an effective and timely manner. The results of a real case study in Tehran demonstrate that the developed HDSS is an effective tool for fast configuration of HRCs using stochastic data

Disaster management from a POM perspective : mapping a new domain

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/ logistics journals. In reviewing these papers our objective is to assess and present the macro level “architectural blue print” of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queuing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights in disaster research. Recommendations for future research are provided

Effective Planning of Urban Communities\u27 Vulnerabilities for Mitigation of Homelessness after a Natural Disaster

Urban communities often lack the ability to recover after disaster plans have been implemented because of a lack of coordinated resources among federal, state, and local agencies. As a result, economically marginalized citizens find themselves in risky conditions, particularly concerning finding and securing post-disaster housing. Using social conflict theory as a guide, the purpose of this exploratory case study of an urban area in a southern state was to better understand the specific vulnerabilities of urban communities and develop solutions for challenges related to emergency or temporary shelters to victims. Data were primarily collected through interviews with 10 residents who experienced a series of tornadoes in 2011. These data were inductively coded and then subjected to a thematic analysis. Findings indicate that participants tended to consider themselves as displaced, but not homeless, even though temporary housing needs ranged between 45 days and 18 months. Participants also reported that coordination efforts to distribute funding to displaced residence failed, as did private insurance in most cases. As a result, competition for scarce resources was significant and most people tended to rely upon financial help from friends and family members. The positive social change implications stemming from this study include recommendations to city planners and emergency managers to strengthen relationships with community leaders to assess needs prior to a disaster and establish a \u27bottom-up\u27 planning policy rather than wait for a disaster to assess the availability of federal or state funding that may not come in order to proactively protect vulnerable community members from post-disaster housing deficiencies

Гармоничное развитие недвижимого имущества

Книга знакомит с актуальными научными исследованиями гармоничного развития недвижимого имущества. Анализируются процесс жизненного цикла застроенной окружающей среды, управления риском развития, застроенной среды как сложной и постоянно изменяющейся системы, этапов комплексного анализа процесса жизненного цикла застроенной среды, теории контролируемых и неконтролируемых факторов в застроенной среде, проблемы постоянства степени эффективности проектов и ее решение. Рассматриваются области и характерные черты развития недвижимости; аспекты, характеризующие процесс жизненного цикла развития недвижимости; стадии модели процесса развития недвижимости; основные участники рынка недвижимости, заинтересованные в развитии недвижимости, и взаимоотношения между ними; трансформационное обучение и изменение манеры поведения; интеллектуальные системы, применяемые при планировании и осуществлении инвестиций в недвижимость; применение метафор в управлении кризисом в сфере недвижимого имущества. Aвторы пытаются найти ответ на вопрос, почему знания об истории развития городов, современных стратегиях гармоничного развития, урбанистической политике, планировании территорий являются очень важными для разработчика недвижимости. Рассматриваются семь основных типов девелопмента: разукрупненных земельных участков, жилых многоквартирных зданий, офисных зданий, зданий розничной торговли и гостиниц, складских и промышленных зданий. Каждый из семи типов девелопмента описан от выбора участков, проведения анализа экономической целесообразности и до управления законченным проектом. Представлены разработки умных систем поддержки принятия решений, основанных на методах, использующих искусственный интеллект с опорой на технологию; умный интерфейс пользователя; объединение технологий искусственного интеллекта и системы управления базой данных. Приведены примеры умных систем поддержки принятия решений (рекомендательные, консультативные и экспертные системы, системы поддержки принятия решений, основанных на анамнезе и добыче текста и т. д.). Книга предназначена для ученых различных областей, практиков, докторантов и магистрантов, интересующихся проблемами, теорией и практикой гармоничного развития недвижимого имущества. Knygos leidyba finansuojama iš projekto Nr. VP1-2.2-ŠMM-07-K-02-071 „Jungtinės studijų programos „Darnus nekilnojamojo turto valdymas“ įgyvendinimas didinant VGTU tarptautiškumą“ Издание книги финансируется из средств проекта № VP1-2.2-ŠMM-07-K-02-071 «Объединенная программа обучения «Гармоничное управление недвижимым имуществом»», предназначенного для расширения международных связей ВТУ им. Гедиминас