Abstract:Integrated management systems (IMSs) involve a strategy to manage multiple systems while meeting the needs and expectations of stakeholders. There are various management standards used for the development of IMS. This study aims to undertake research focused on how to develop an IMS. In this context, management standards, including the International Organization for Standardization (ISO) and Global Reporting Initiatives (GRI), consider alternatives and integration potential at multiple levels (i.e., strategic,… Show more
“…There are five major types of grey prediction, such as time series forecasts, calamity forecasts, seasonal calamity forecasts, topological forecasts, and systemic forecasts. Till date, GS theory has introduced a variety of theories and techniques like grey mathematics, grey modeling, grey forecasting, grey clustering, grey decision making, grey programming, grey relational analysis, and grey control, which has been effectively implemented in various fields and has shown satisfactory results [ 26 , 27 ]. The key benefit of grey theory is that it can manage both with limited and uncertain information with great precision.…”
Background
The study aims to predict and assess cardiovascular disease (CVD) patterns in highly affected countries such as Pakistan, India, China, Kenya, the USA, and Sweden. The data for CVD deaths was gathered from 2005 to 2019.
Methods
We utilized non-homogenous discrete grey model (NDGM) to predict growth of cardiovascular deaths in selected countries. We take this process a step further by utilizing novel Synthetic Relative Growth Rate (RGR) and Synthetic Doubling Time (Dt) model to assess how many years it takes to reduce the cardiovascular deaths double in numbers.
Results
The results reveal that the USA and China may lead in terms of raising its number of deaths caused by CVDs till 2027. However, doubling time model suggests that USA may require 2.3 years in reducing the cardiovascular deaths.
Conclusions
This study is significant for the policymakers and health practitioners to ensure the execution of CVD prevention measures to overcome the growing burden of CVD deaths.
“…There are five major types of grey prediction, such as time series forecasts, calamity forecasts, seasonal calamity forecasts, topological forecasts, and systemic forecasts. Till date, GS theory has introduced a variety of theories and techniques like grey mathematics, grey modeling, grey forecasting, grey clustering, grey decision making, grey programming, grey relational analysis, and grey control, which has been effectively implemented in various fields and has shown satisfactory results [ 26 , 27 ]. The key benefit of grey theory is that it can manage both with limited and uncertain information with great precision.…”
Background
The study aims to predict and assess cardiovascular disease (CVD) patterns in highly affected countries such as Pakistan, India, China, Kenya, the USA, and Sweden. The data for CVD deaths was gathered from 2005 to 2019.
Methods
We utilized non-homogenous discrete grey model (NDGM) to predict growth of cardiovascular deaths in selected countries. We take this process a step further by utilizing novel Synthetic Relative Growth Rate (RGR) and Synthetic Doubling Time (Dt) model to assess how many years it takes to reduce the cardiovascular deaths double in numbers.
Results
The results reveal that the USA and China may lead in terms of raising its number of deaths caused by CVDs till 2027. However, doubling time model suggests that USA may require 2.3 years in reducing the cardiovascular deaths.
Conclusions
This study is significant for the policymakers and health practitioners to ensure the execution of CVD prevention measures to overcome the growing burden of CVD deaths.
“…The steps of implementing the Fuzzy VIKOR method are represented in Fig. 6 and more explanations can be found in the research of Ikram et al, (2020) . Fig.…”
Obviously, the Covid-19 pandemic has huge impact on most businesses and has caused serious and countless problems for them. Therefore, providing solutions for affected businesses to recover and improve their activities during pandemic times is inevitable. In this regard, ecotourism centers are one of the businesses that went through this problem and have faced significant dilemmas in their activities. Also, reportedly, there is no related research focusing on the recovery approaches to address these obstacles relating to these kinds of businesses during the pandemic. Therefore, all of these exhorted us to do the current research. In this paper, some practical and useful action plans for ecotourism centers are firstly developed to help these businesses. To obtain the action plans, some brainstorming sessions were held consisting of tourism experts, university professors, managers, owners, and some personnel of eco-tourism centers. In order to prioritize the defined action plans, four criteria are considered. Firstly, we compute the weights of the considered criteria by the Fuzzy DEMATEL and then they are prioritized using the Fuzzy VIKOR. The findings of the current study divulge that the AP2 “Standardization of the centers” and AP3 “Estimating demand number and increasing the capacity” and AP7 “Identifying other natural tourist attractions of the region” have the highest and lowest priority to be implemented.
“…An AHP and F-VIKOR were used to develop an integrated management system while considering the needs and expectations of the stakeholders. 16 A fuzzy AHP-TOPSIS was utilized to conduct a comparison of five hydrometallurgical processes to recover the copper. 17 The authors proposed five decision-making methods AHP, FAHP, TOPSIS, FTOPSIS, and PROMETHEE evaluate road segments and the safety level of the roads.…”
Purpose
The outbreak of COVID-19 in China has spread to the whole world within a short period. The spread of COVID-19 has caused innumerable economic and social losses. The coronavirus spread directly from individual to individual. WHO and other governing bodies made guidelines and remedial activities to minimize the spread of COVID-19. This study aims to analyze and prioritize infection prevention and control activities for SARS-CoV-2.
Methods
An analytical study was conducted between medical representatives and scientists to check the impact of these precautionary measures (social distancing, shaking hands and hugging peoples, unnecessary touching things, hygiene, and sharing personal items) on COVID-19. The Analytical Hierarchical Process (AHP) method has been utilized to evaluate and prioritize the preventive measures of COVID-19.
Results
The results of this investigation shows, unnecessary travel, 3Cs, and touching own body parts should be avoided. Wearing a mask and proper hand washing are important to reduce the spread of coronavirus.
Conclusion
The SARS-CoV-2 has affected more than 11 million people around the world. The second spike of COVID-19 is also alarming for people. It is important to follow the instruction provided by the WHO, CDC, and other national and international governing bodies. The AHP method was used to check various measures that are spreading the coronavirus disease. It demonstrated that 3Cs (spaces that are closed, crowded, and involve close contacts) and travel, shaking hand, unnecessary touching own body parts should be avoided.
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