Towards a resilient community: A decision support framework for prioritizing stakeholders' interaction areas

Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience

Towards a resilient community: a decision support framework for prioritizing stakeholders' interaction areas

Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience

Towards a resilient community: A decision support framework for prioritizing stakeholders' interaction areas

Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience

Towards a resilient community: a decision support framework for prioritizing stakeholders' interaction areas

Interactions among community stakeholders act as a buffer against disasters and present a way to build community resilience. Several decision support frameworks have been proposed in the literature to improve community resilience, but none focus on interactions among stakeholders. This paper presents a decision support framework to guide decision-makers in prioritizing areas of interaction based on their mutual impact. The framework is built on three components. The first involved conducting a literature review to identify areas of interaction among community stakeholders; resulting in identifying 27 factors that reflect the various interaction areas. The second was to implement a Delphi study to capture the dependency among the different areas. The third was to prioritize the identified areas of interaction through network analysis techniques to understand the propagating impacts of a change in one area on the others. The framework was applied to Spain, utilizing data provided by Spanish resilience experts. Our findings indicate a high degree of interdependence among all areas of interaction. Decentralization of the decision-making process and effective leading capabilities of emergency organizations have been identified as top priority areas. By utilizing this framework, decision-makers can systematically enhance interactions among diverse stakeholders, creating a roadmap to improve community resilience

What do emergency services and authorities need from society to better handle disasters?

Over the last 20 years, disaster events have been increasing with 3.25 billion people affected. The public are not only affected by these incidents but also, they are the first on the disaster scene. To fully utilize the public’s potential and define their role in assisting in disaster management, we need to hear the voice of the main responsible for handling a disaster, the authorities, and emergency personnel. Therefore, this paper aims to identify and prioritize their needs through conducting a survey and interviews with members of authorities and emergency organizations in several European Union countries, namely; France, Israel, Italy, Norway, Romania, Spain, and Sweden. The highest-ranked needs identified are getting credible information as soon as possible from the disaster scene as well as following authorities’ recommendations. Additionally, this study identifies some barriers associated with the engagement of society in disaster management. An example of such a barrier is that citizens could hurt themselves or others and hamper the intervention efforts through their interference. Despite the barriers, the emergency organizations are in favor of engaging the society in the response and recovery phases. The identified needs and barriers help to define procedures and policies that can improve the engagement of citizens and consequently, social resilience

What do emergency services and authorities need from society to better handle disasters?

Over the last 20 years, disaster events have been increasing with 3.25 billion people affected. The public are not only affected by these incidents but also, they are the first on the disaster scene. To fully utilize the public’s potential and define their role in assisting in disaster management, we need to hear the voice of the main responsible for handling a disaster, the authorities, and emergency personnel. Therefore, this paper aims to identify and prioritize their needs through conducting a survey and interviews with members of authorities and emergency organizations in several European Union countries, namely; France, Israel, Italy, Norway, Romania, Spain, and Sweden. The highest-ranked needs identified are getting credible information as soon as possible from the disaster scene as well as following authorities’ recommendations. Additionally, this study identifies some barriers associated with the engagement of society in disaster management. An example of such a barrier is that citizens could hurt themselves or others and hamper the intervention efforts through their interference. Despite the barriers, the emergency organizations are in favor of engaging the society in the response and recovery phases. The identified needs and barriers help to define procedures and policies that can improve the engagement of citizens and consequently, social resilience

Multi-Step In Silico Discovery of Natural Drugs against COVID-19 Targeting Main Protease

In continuation of our antecedent work against COVID-19, three natural compounds, namely, Luteoside C (130), Kahalalide E (184), and Streptovaricin B (278) were determined as the most promising SARS-CoV-2 main protease (Mpro) inhibitors among 310 naturally originated antiviral compounds. This was performed via a multi-step in silico method. At first, a molecular structure similarity study was done with PRD_002214, the co-crystallized ligand of Mpro (PDB ID: 6LU7), and favored thirty compounds. Subsequently, the fingerprint study performed with respect to PRD_002214 resulted in the election of sixteen compounds (7, 128, 130, 156, 157, 158, 180, 184, 203, 204, 210, 237, 264, 276, 277, and 278). Then, results of molecular docking versus Mpro PDB ID: 6LU7 favored eight compounds (128, 130, 156, 180, 184, 203, 204, and 278) based on their binding affinities. Then, in silico toxicity studies were performed for the promising compounds and revealed that all of them have good toxicity profiles. Finally, molecular dynamic (MD) simulation experiments were carried out for compounds 130, 184, and 278, which exhibited the best binding modes against Mpro. MD tests revealed that luteoside C (130) has the greatest potential to inhibit SARS-CoV-2 main protease

NAFLD mark: an accurate model based on microRNA-34 for diagnosis of non-alcoholic fatty liver disease patients

Abstract Background It remains essential for non-alcoholic fatty liver (NAFLD) patients, to develop a sensitive and specific diagnostic model. Data regarding the use of micro (mi)RNA-34 for NAFLD diagnosis are few. Routine clinical assessment, laboratory tests were done for Egyptian individuals (n = 314) were included (100 healthy individuals and 214 NAFLD patients). Quantification of miRNA-34 was done using real-time PCR. Extremely significant variables were entered into stepwise logistic regression. The diagnostic power of variables was estimated by the area under the ROC (AUC). Results MiRNA-34 levels were higher in NAFLD patients than healthy individuals with a significant difference (P< 0.0001). The multivariate analysis was used to evaluate the NAFLD-associated variables (CRP, cholesterol, body mass index (BMI), ALT had p< 0.0001 while mRNA-34 had (p=0.0004). The AUCs (CI) of candidate NAFLD markers were in the order of miRNA-34 0.72 (0.66–0.77) < ALT 0.73 (0.67–0.79) < BMI 0.81 (0.76–0.86) < cholesterol < 0.85 (0.79–0.90) < CRP 0.88 (0.84–0.92). We developed a novel index for discriminating patients with NAFLD named NAFLD Mark. AUC was jumped to 0.98 (0.93–0.99) when five markers were combined. The AUC of NAFLD mark for NAFLD detection was higher than the AUCs of seven common NAFLD indexes (0.44–0.86). Conclusions The NAFLD mark is a non-invasive and highly sensitive and specific model for NAFLD diagnosis

Global economic burden of unmet surgical need for appendicitis

Background There is a substantial gap in provision of adequate surgical care in many low- and middle-income countries. This study aimed to identify the economic burden of unmet surgical need for the common condition of appendicitis. Methods Data on the incidence of appendicitis from 170 countries and two different approaches were used to estimate numbers of patients who do not receive surgery: as a fixed proportion of the total unmet surgical need per country (approach 1); and based on country income status (approach 2). Indirect costs with current levels of access and local quality, and those if quality were at the standards of high-income countries, were estimated. A human capital approach was applied, focusing on the economic burden resulting from premature death and absenteeism. Results Excess mortality was 4185 per 100 000 cases of appendicitis using approach 1 and 3448 per 100 000 using approach 2. The economic burden of continuing current levels of access and local quality was US $92 492 million using approach 1 and$73 141 million using approach 2. The economic burden of not providing surgical care to the standards of high-income countries was $95 004 million using approach 1 and$75 666 million using approach 2. The largest share of these costs resulted from premature death (97.7 per cent) and lack of access (97.0 per cent) in contrast to lack of quality. Conclusion For a comparatively non-complex emergency condition such as appendicitis, increasing access to care should be prioritized. Although improving quality of care should not be neglected, increasing provision of care at current standards could reduce societal costs substantially

Global economic burden of unmet surgical need for appendicitis

Background There is a substantial gap in provision of adequate surgical care in many low- and middle-income countries. This study aimed to identify the economic burden of unmet surgical need for the common condition of appendicitis. Methods Data on the incidence of appendicitis from 170 countries and two different approaches were used to estimate numbers of patients who do not receive surgery: as a fixed proportion of the total unmet surgical need per country (approach 1); and based on country income status (approach 2). Indirect costs with current levels of access and local quality, and those if quality were at the standards of high-income countries, were estimated. A human capital approach was applied, focusing on the economic burden resulting from premature death and absenteeism. Results Excess mortality was 4185 per 100 000 cases of appendicitis using approach 1 and 3448 per 100 000 using approach 2. The economic burden of continuing current levels of access and local quality was US $92 492 million using approach 1 and$73 141 million using approach 2. The economic burden of not providing surgical care to the standards of high-income countries was $95 004 million using approach 1 and$75 666 million using approach 2. The largest share of these costs resulted from premature death (97.7 per cent) and lack of access (97.0 per cent) in contrast to lack of quality. Conclusion For a comparatively non-complex emergency condition such as appendicitis, increasing access to care should be prioritized. Although improving quality of care should not be neglected, increasing provision of care at current standards could reduce societal costs substantially