Coping With the Threat of Ebola in Monrovia: A Case Study

In early 2014, 3 West African states of Guinea, Liberia, and Sierra Leone made news headlines when Ebola virus disease (EVD) ravaged the sub-region. The Liberian government was ill-equipped to efficiently contain EVD outbreak due to inadequate training for hospitals and healthcare workers. The government\u27s mandatory cremation policies and the banning of public gatherings significantly contributed to the spread of EVD. EVD infected 10,666 and 4,808 died from the disease in the first 6 months of the epidemic. Using Bandura\u27s Social Cognitive Theory (SCT) as the theoretical framework, the purpose of this case study research was to examine the social, economic, and policy factors that contributed to the spread of EVD in the city of Monrovia, Liberia. Utilizing snowball sampling to identify participants, data were collected through in-depth interviews with 30 participants that included 10 EVD survivors, 10 family caregivers, 2 government officials, 4 nongovernmental organization staff, 2 academicians, and 2 members of the media. All data were inductively coded and analyzed using Braun and Clarke\u27s thematic analysis procedure. Two key themes were identified through data analysis. First, participants noted that a better understanding of cultural traditions may have created opportunities for intervention that prevented unnecessary exposure to the virus. Second, survivors and caregivers experienced a \u27hope for the best, but expect the worst\u27 mentality throughout the experience that guided faith. The positive social change implications stemming include recommendations to the government of Monrovia to implement culturally sensitive policies related to pandemic containment, including training of healthcare workers and the public in the event of disease outbreak

Agent-oriented software engineering methodologies : analysis and future directions

The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite the presence of agent-oriented software engineering (AOSE) methodologies. One of the moves towards compensating for this issue is to compile various available methodologies, ones that are comparable to the evolution of the unified modeling language (UML) in the domain of object-oriented analysis and design. These have become de facto standards in software development. In line with this objective, the present research attempts to comprehend the relationship among seven main AOSE methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and limitations of each competing process, structural analysis, and a case study evaluation method. This effort is made to address the significant characteristics of AOSE approaches. The main objective of this study is to conduct a comprehensive analysis of selected AOSE methodologies and provide a proposal of a draft unified approach that drives strengths (best) of these methodologies towards advancement in this area.publishedVersio

Bulloch Herald

https://digitalcommons.georgiasouthern.edu/bulloch-news-issues/5085/thumbnail.jp

Method Engineering as Design Science

In this paper, we motivate, devise, demonstrate, and evaluate an approach for the research-based development of information systems development methods (ISDMs). This approach, termed “method engineering as design science” (ME-DS), emerged from the identified need for scholars to develop ISDMs using proper research methods that meet the standards of both rigor and relevance. ISDMs occupy a position of central importance to information systems development and scholars have therefore invested extensive resources over the years in developing such methods. The method engineering (ME) discipline has developed different frameworks and methods to guide such development work and, for that purpose, they are well-suited. Still, there remains a need for applications and evaluations of ISDMs based on the demands for knowledge justification. Unfortunately, in many cases, scholars come up short with regard to how ISDMs are generated and empirically validated. While design science (DS) stresses knowledge justification, prominent DS approaches seem to be biased toward the development of IT artifacts, making this approach ill-suited for the development of method artifacts. We therefore propose eight principles that marry ME and DS, resulting in a process model with six activities to support research-based development of ISDMs. We demonstrate and evaluate ME-DS by assessing three existing research papers that propose ISDMs. These retrospectives show how ME-DS directs attention to certain aspects of the research process and provides support for future ISDM development

The Quarterly of the Washington State Normal School Ellensburg. Catalog 1919

https://digitalcommons.cwu.edu/catalogs/1042/thumbnail.jp

A platform-independent domain-specific modeling language for multiagent systems

Associated with the increasing acceptance of agent-based computing as a novel software engineering paradigm, recently a lot of research addresses the development of suitable techniques to support the agent-oriented software development. The state-of-the-art in agent-based software development is to (i) design the agent systems basing on an agent-based methodology and (ii) take the resulting design artifact as a base to manually implement the agent system using existing agent-oriented programming languages or general purpose languages like Java. Apart from failures made when manually transform an abstract specification into a concrete implementation, the gap between design and implementation may also result in the divergence of design and implementation. The framework discussed in this dissertation presents a platform-independent domain-specific modeling language for MASs called Dsml4MAS that allows modeling agent systems in a platform-independent and graphical manner. Apart from the abstract design, Dsml4MAS also allows to automatically (i) check the generated design artifacts against a formal semantic specification to guarantee the well-formedness of the design and (ii) translate the abstract specification into a concrete implementation. Taking both together, Dsml4MAS ensures that for any well-formed design, an associated implementation will be generated closing the gap between design and code.Aufgrund wachsender Akzeptanz von Agentensystemen zur Behandlung komplexer Problemstellungen wird der Schwerpunkt auf dem Gebiet der agentenorientierten Softwareentwicklung vor allem auf die Erforschung von geeignetem Entwicklungswerkzeugen gesetzt. Stand der Forschung ist es dabei das Agentendesign mittels einer Agentenmethodologie zu spezifizieren und die resultierenden Artefakte als Grundlage zur manuellen Programmierung zu verwenden. Fehler, die bei dieser manuellen Überführung entstehen, machen insbesondere das abstrakte Design weniger nützlich in Hinsicht auf die Nachhaltigkeit der entwickelten Softwareapplikation. Das in dieser Dissertation diskutierte Rahmenwerk erörtert eine plattformunabhängige domänenspezifische Modellierungssprache für Multiagentensysteme namens Dsml4MAS. Dsml4MAS erlaubt es Agentensysteme auf eine plattformunabhängige und graphische Art und Weise darzustellen. Die Modellierungssprache umfasst (i) eine abstrakte Syntax, die das Vokabular der Sprache definiert, (ii) eine konkrete Syntax, die die graphische Darstellung spezifiziert sowie (iii) eine formale Semantik, die dem Vokabular eine präzise Bedeutung gibt. Dsml4MAS ist Bestandteil einer (semi-automatischen) Methodologie, die es (i) erlaubt die abstrakte Spezifikation schrittweise bis hin zur konkreten Implementierung zu konkretisieren und (ii) die Interoperabilität zu alternativen Softwareparadigmen wie z.B. Dienstorientierte Architekturen zu gewährleisten

The Quarterly of the Washington State Normal School Ellensburg. Catalog Number [1917]

https://digitalcommons.cwu.edu/catalogs/1033/thumbnail.jp

The Local Governance of the 2014 Ebola Epidemic: A Comparative Case Study of Liberia and Sierra Leone

This research investigates community-led interventions in Liberia and Sierra Leone. The objective is to examine the parallels and differences in the response and outcomes of the 2014 Ebola epidemic. Many challenges made aid less effective such as misinformation, rumors, stigma, and logistical difficulties that lowered the demand for aid resources. These market inefficiencies were the demand-side barriers that were prolonging the disease spread. A qualitative methodology was employed to answer the research question. Sixty-seven semi-structured interviews were conducted from January to July 2017; 33 of these interviews were in Sierra Leone and 34 interviews in Liberia. Informants included health workers, chiefs, chiefs’ advisors, a secret society leader, NGO representatives, a government worker, and volunteers during the outbreak. Thematic analysis and the data were supported by NVIVO. The key themes are: ‘Government’s Response and Community Reaction,’ ‘Local Institutional Intervention,’ and ‘Governing the Outbreak.’ Informants were chosen through purposeful sampling methods in three provinces in each country. The findings demonstrate that traditional leaders in Sierra Leone immediately responded through rulemaking and enforcement after the first Ebola case was officially announced. Specifically, rulemaking helped to create behavior changes to increase demand for aid resources, such as mandatory referrals to the health centers. These laws and door-to-door contact tracing were scaled up to a national emergency strategy, relying on traditional leaders to monitor and enforce them. In Liberia, community and traditional leaders organized in many areas to correct some of these demand-side barriers too. In both cases, the response from community-level leaders happened before the international community scaled up aid resources in August 2014, with some donors and humanitarians arriving as late as December 2014. However, Liberia’s local strategies were not scaled up and coordinated nationally, as it was in Sierra Leone. Thus, the interventions implemented were not universal. According to figures by the World Health Organization, Sierra Leone had 25% more Ebola cases than Liberia but had 18% fewer Ebola deaths. This is interpreted as contact tracing and institutional changes having more impact in Sierra Leone to refer Ebola patients into early treatment and reduce deaths