Analyzing the response to epidemics: concept of evidence-based Haddon matrix

The application of the Haddon matrix in identifying drowning prevention solutions in the north of Iran

The application of the Haddon matrix in identifying drowning prevention solutions in the north of Iran is necessary. We dealt with drownings on three levels of prevention including before, during, and after the injury in northern Iran (Guilan province). This study aimed to investigate the use of Haddon's matrix in preventing three-level drowning cases before, during, and after the accident in the north of Iran. This qualitative study consisted of 9 focus groups with a sample size of 78 people including 48 nursing staff, 21 emergency medicine specialists, and 30 people from non-medical personnel (local community leaders, executive officials of relevant organizations, lifeguards, staff working in health centers, and families of victims). All group discussions were recorded and the questions were based on the focus group table. According to Haddon's table of results, the major risk group was the young and adolescent boys and more in the area of neglect in culture-building and education. In this study, the role of factors was investigated separately and the necessary solutions were presented that can be used as a scientific and practical basis to achieve the main goal of drowning prevention. These strategies require cross-sectoral collaboration, which seems to be a strong interaction with a greater focus on major risk groups to address deficiencies and prevent the recurrence of potential accidents. The study aimed to investigate the use of Haddon's matrix in the prevention of three-level drowning cases before the event, during the event, and after the event in northern Iran.

A Framework Based on Blockchain, Artificial Intelligence, and Big Data Analytics to Leverage Supply Chain Resilience considering the COVID-19

In the global supply chains era, firms are more connected, integrated, and interdependent, bringing along a set of benefits and a number of risks. It is clear that the singular COVID-19 epidemic outbreak has led to unparalleled disruptions and considerable challenges for supply chains (SCs). For example, the sluggish economic environment provoked by the COVID-19 has negatively impacted the flow of goods, generating shortages and interruptions through the SCs. At the global level, many markets are enduring the effects of these disruptions. In this challenging context, the firms and their SCs must apply useful and efficient strategies to minimize and adapt their operations during and after these disruptions. In this view, this study aims to propose a novel framework based on Artificial Intelligence, Blockchain, and Big Data Analytics, to bring useful ideas and contribute to overcoming such disruptions. Besides, we propose novel categorizations that can support new insights for scholars and practitioners about the use of cutting-edge technologies during and after severe disruptions.

A Review of COVID-19-Related Literature on Freight Transport: Impacts, Mitigation Strategies, Recovery Measures, and Future Research Directions

The COVID-19 pandemic has caused significant disruptions in the freight transport sector. The number of studies on the impact of COVID-19 on freight transport and possible mitigation strategies are growing. However, a systematic and comprehensive review highlighting the research themes, main findings, research methods, and future research directions of these studies remains scarce. Therefore, this study presents a mixed review comprising scientometric and systematic reviews to cover these research gaps. Results show that 68 studies have been published on this topic since the beginning of 2020 and that they cover three main themes: the impacts of COVID-19 on freight transport, mitigation strategies, and recovery during and after COVID-19. In addition, we describe the research methods, main findings, and possible research directions in each of them. Thus, the findings of our work present both theoretical and practical analyses of COVID-19-related research on freight transport and provide important future research directions in this domain.

Learnings from COVID-19 for managing humanitarian supply chains: systematic literature review and future research directions

The COVID-19 pandemic has been experienced as the most significant global disaster after the Spanish flue in 1918. Millions of people lost their life due to a lack of preparedness and ineffective strategies for managing humanitarian supply chains (HSC). Based on the learnings from this pandemic outbreak, different strategies for managing the effective HSC have been explored in the present context of pandemics through a systematic literature review. The findings highlight some of the major challenges faced during the COVID-19 pandemic, such as lack of planning and preparedness, extended shortages of essential lifesaving items, inadequate lab capacity, lack of transparency and visibility, inefficient distribution network, high response time, dependencies on single sourcing for the medical equipment and medicines, lack of the right information on time, and lack of awareness about the protocol for the treatment of the viral disease. Some of the significant learnings observed from this analysis are the use of multiple sourcing of essential items, joint procurement, improving collaboration among all stakeholders, applications of IoT and blockchain technologies for improving tracking and traceability of essential commodities, application of data analytics tools for accurate prediction of next possible COVID wave/disruptions and optimization of distribution network. Limited studies are focused on finding solutions to these problems in managing HSC. Therefore, as a future scope, researchers could find solutions to optimizing the distribution network in context to pandemics, improving tracing and tracking of items during sudden demand, improving trust and collaborations among different agencies involved in HSC.

Investigating supply chain research trends amid Covid-19: a bibliometric analysis

Purpose

The purpose of this study is to analyse the effects of Covid-19 on the supply chain management and to provide an agenda for future research in this context.

Design/methodology/approach

By using the SCOPUS database, a total of 191 articles of 1,323 research articles were selected for further analysis. Bibliometric analysis and science mapping were performed which included author influence, affiliation statistics, keywords, citations, co-citation and co-word analysis.

Findings

Five clusters were identified in the context of supply chain management under Covid-19: managing disruptions in global food supply chains (SCs), using Industry 4.0 technologies for sustainable SCs, collaboration across the supply network for contingency situations, coping with disease outbreaks in personal and professional lives and countering the ripple effect of pandemics. These clusters are potential areas for future research.

Originality/value

Literature is still rare about SC practices amid the Covid-19 crisis. Therefore, this study attempts to provide insights and fill the current gaps on this field.

Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

The global spread of the novel coronavirus (COVID-19) has accounted for many deaths. The effective containment of the current COVID-19 epidemic calls for a fast and sustainable delivery strategy to minimize the impact of this crisis. As such, this study aimed to conduct a comprehensive review of research on the vehicle routing problem (VRP) from a sustainable viewpoint during the pandemic and explore viable delivery solutions that may aid in the containment of the COVID-19 pandemic. Through a systematic review of the selected articles, four broad themes of pandemic containment measures from the delivery aspect were identified: efficient pharmaceutical delivery strategy, contactless distribution, sustainable waste transportation strategy, and isolated and quarantine vehicle scheduling. Following that, the methodology utilized to execute the containment measures were analyzed, research gaps were hightlighted, and possibilities for future studies were suggested. In summary, the goal of this research is to provide an overview of the literature on the application of VRPs in pandemic control and to assist academics and practitioners in learning more about the performance metrics, models, and solution techniques utilized in pandemic control delivery operations.

A combined model for COVID-19 pandemic control: The application of Haddon's matrix and community risk reduction tools combined

INTRODUCTION

To mitigate morbidity, mortality, and impacts of COVID-19 on health, it was essential to implement a comprehensive framework for COVID-19 control and prevention. A well-recognized tool from the field of injury prevention known as the Haddon matrix was utilized. The matrix states that any accident is affected by the host, agent, and environment. Another well-recognized tool used by the national fire protection association known as the Community risk reduction tool (CRR). The (CRR) tool utilizes the Five E's of Community Risk Reduction.

AIM OF THE STUDY

To describe the risk factors that increase the susceptibility and the severity of COVID-19 infection based on the Haddon matrix and the proposed prevention strategies by the CRR tool by using the combined model.

METHODOLOGY

We reviewed the literature to assess known factors contributing to COVID-19 susceptibility, infection, and severity of infection. We then used the Haddon matrix to structure, separating human factors from technical and environmental details and timing. We then used the community risk reduction (CRR) model to set all responses and control measures for each element obtained from the Haddon matrix tool. Subsequently, we incorporated both tools to develop the combined model.

CONCLUSION

we proposed and implemented a combined model that utilizes the CRR model as the systematic strategy for the more theoretical framework of Haddon's matrix. Combining both models was practical and helpful in planning the preparedness and control of the COVID-19 pandemic in Saudi Arabia that can be generalized to national and international levels.

The human side of humanitarian supply chains: a research agenda and systematization framework

Humanitarian operations are increasingly receiving attention due to the numerous recent disasters and crises caused by both natural and man-made events, from mass human exodus to pandemics such as COVID-19. The successful management of humanitarian supply chains requires the effective use of human resource practices, which in turn requires strong leadership in the so-called 'soft side' of management. This study aims to investigate the current status of research on the human aspects of humanitarian supply chains. Through a systematic and comprehensive literature review, encompassing an original codification and in-depth analysis of journal articles, this work provides a research agenda and a number of lessons concerning human resource management (HRM) in humanitarian operations. The main findings reveal that: (i) HRM impacts the ability of humanitarian organizations to adequately prevent, prepare for and respond to disasters; (ii) training programs for aid personnel are a vital aspect of humanitarian responsiveness; (iii) humanitarian operations require a workforce with a variety of soft and hard skills; (iv) lack of trained staff is one of the main challenges in this field; and (v) building relationships and strengthening networks can enlarge the human resource pool available. Therefore, the findings of this study and its proposed research agenda have implications for both theory and practice. In terms of theory, this work provides seven recommendations, representing opportunities for scholars to advance this body of knowledge. For humanitarian practitioners, this paper offers insightful lessons to guide them in the management of human resources in humanitarian operations.

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

The coronavirus (COVID-19) outbreak shows that pandemics and epidemics can seriously wreak havoc on supply chains (SC) around the globe. Humanitarian logistics literature has extensively studied epidemic impacts; however, there exists a research gap in understanding of pandemic impacts in commercial SCs. To progress in this direction, we present a systematic analysis of the impacts of epidemic outbreaks on SCs guided by a structured literature review that collated a unique set of publications. The literature review findings suggest that influenza was the most visible epidemic outbreak reported, and that optimization of resource allocation and distribution emerged as the most popular topic. The streamlining of the literature helps us to reveal several new research tensions and novel categorizations/classifications. Most centrally, we propose a framework for operations and supply chain management at the times of COVID-19 pandemic spanning six perspectives, i.e., adaptation, digitalization, preparedness, recovery, ripple effect, and sustainability. Utilizing the outcomes of our analysis, we tease out a series of open research questions that would not be observed otherwise. Our study also emphasizes the need and offers directions to advance the literature on the impacts of the epidemic outbreaks on SCs framing a research agenda for scholars and practitioners working on this emerging research stream.

Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19

Pandemics cause chaotic situations in supply chains (SC) around the globe, which can lead towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented humanitarian crisis that has severely affected global business dynamics. Similar vulnerabilities have been caused by other outbreaks in the past. In these terms, prevention strategies against propagating disruptions require vigilant goal conceptualization and roadmaps. In this respect, there is a need to explore supply chain operation management strategies to overcome the challenges that emerge due to COVID-19-like situations. Therefore, this review is aimed at exploring such challenges and developing strategies for sustainability, and viability perspectives for SCs, through a structured literature review (SLR) approach. Moreover, this study investigated the impacts of previous epidemic outbreaks on SCs, to identify the research objectives, methodological approaches, and implications for SCs. The study also explored the impacts of epidemic outbreaks on the business environment, in terms of effective resource allocation, supply and demand disruptions, and transportation network optimization, through operations management techniques. Furthermore, this article structured a framework that emphasizes the integration of Industry 4.0 technologies, resilience strategies, and sustainability to overcome SC challenges during pandemics. Finally, future research avenues were identified by including a research agenda for experts and practitioners to develop new pathways to get out of the crisis.

Development of a Haddon Matrix Framework for Higher Education Pandemic Preparedness: Scoping Review and Experiences of Malaysian Universities During the COVID-19 Pandemic

Managing education and research during pandemics has increased in importance since the onset of epidemics such as avian flu, SARS and now CoViD-19. Successful management in times of crisis ensures business continuity and institutional survival, making preparedness preceding an impending pandemic essential. Institutions of higher education (IHEs) must maintain balance between academic continuity and preventing morbidity during a pandemic crisis. To date, however, no general pandemic preparedness frameworks exist for IHEs. The aim of this paper is to report on the development of a Haddon matrix framework for IHE pandemic preparedness based on a scoping literature review of past IHE responses including pre-, during and post-pandemic phases. First, a review of previous global responses by IHEs during past pandemics was carried out. The review findings were then collated into a new IHE-centric Haddon matrix for pandemic preparedness. The content of the matrix is then illustrated through the documented responses of Malaysian universities during the early stages of the COVID-19 pandemic. The resulting IHE Haddon matrix can be used by universities as a general guide to identify preparedness gaps and intervention opportunities for business continuity during pandemics.

Designing supplier selection strategies under COVID-19 constraints for industrial environments

COVID-19 has been impacting worldwide supply chains causing interruption, closure of production and distribution. This impact has been drastic on the supplier side and, as a consequence of disruptions, strong reductions of production have been estimated. Such a circumstance forces companies to propose innovative best practices of supply chain risk management aimed at facing vulnerability generated by COVID-19 and pursuing industrial improvements in manufacturing and production environments. As a part of supply chain strategy, supplier selection criteria should be revised to include pandemic-related risks. This article aims to propose an answer to such a problem. In detail, a comprehensive tool designed as a hybrid combination of multi-criteria decision-making (MCDM) methods is suggested to manage important stages connected to the production development cycle and to provide companies with a structured way to rank risks and easily select their suppliers. The main criteria of analysis will be first identified from the existent literature. Risks related to COVID-19 will be then analysed in order to elaborate a comprehensive list of potential risks in the field of interest. The Best Worst Method (BWM) will be first used to calculate criteria weights. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) will be then applied to rank and prioritize risks affecting suppliers. The effectiveness of the approach will be tested through a case study in the sector of automotive industry. The applicability of the designed MCDM framework can be extended also to other industrial sectors of interest.

Education for sustainable development in humanitarian logistics

Purpose

As humanitarian logistics (HL) functions in complicated, changing and ambiguous situations, all people, particularly the educated youth, have to know how to control the situation and assist victims, which are best achieved through formal education and training. Teaching at university has been extensively used in the context of business logistics. However, education in HL is a poorly researched field and, consequently, this article explores education for sustainable development in HL. The study addresses the following research question: How the teaching of HL at university can help to increase HL performance (HLP) and to reduce suffering.

Design/methodology/approach

A covariance-based structure equation modeling (CB-SEM) is implemented on the basis of confirmatory factor analysis.

Findings

The results show that the association between the explanatory variables and the dependent variable (HLP) is mediated by sustainability, and that the teaching of HL at university plays a vital role in enhancing HLP and is therefore a very suitable approach for sustainable development in HL. This direct approach is creative, informative and productive practice for both students and teachers.

Originality/value

In spite of the growing number of activities and courses in supply chain and logistics education, no study, to the best of our knowledge, has empirically analyzed the critical topic of whether or not education can bring sustainable development in HL. In order to save lives and reduce the suffering of victims, this study attempts to fill this gap.