Stampede April 1, 2020

Students navigate the challenges, and even advantages, of distance education WMU still serving students\u27 Faculty stepping up to support transition to distance education Counseling Services helping students cope with pandemic-related anxiety, stress Invisible Need Project changes, broadens some services in response to pandemic Sew worth it- Broncos use skills to craft masks for hospital workers Jazz student takes composing experience to new level, livestreaming process online How to keep your body healthy during COVID-19 Six ways to fight boredom during isolation Sindecuse Health Center is open with some change

Prediction and prevention of the next pandemic zoonosis.

Most pandemics--eg, HIV/AIDS, severe acute respiratory syndrome, pandemic influenza--originate in animals, are caused by viruses, and are driven to emerge by ecological, behavioural, or socioeconomic changes. Despite their substantial effects on global public health and growing understanding of the process by which they emerge, no pandemic has been predicted before infecting human beings. We review what is known about the pathogens that emerge, the hosts that they originate in, and the factors that drive their emergence. We discuss challenges to their control and new efforts to predict pandemics, target surveillance to the most crucial interfaces, and identify prevention strategies. New mathematical modelling, diagnostic, communications, and informatics technologies can identify and report hitherto unknown microbes in other species, and thus new risk assessment approaches are needed to identify microbes most likely to cause human disease. We lay out a series of research and surveillance opportunities and goals that could help to overcome these challenges and move the global pandemic strategy from response to pre-emption

Estimating the value of containment strategies in delaying the arrival time of an influenza pandemic: A case study of travel restriction and patient isolation

With a simple phenomenological metapopulation model, which characterizes the invasion process of an influenza pandemic from a source to a subpopulation at risk, we compare the efficiency of inter- and intra-population interventions in delaying the arrival of an influenza pandemic. We take travel restriction and patient isolation as examples, since in reality they are typical control measures implemented at the inter- and intra-population levels, respectively. We find that the intra-population interventions, e.g., patient isolation, perform better than the inter-population strategies such as travel restriction if the response time is small. However, intra-population strategies are sensitive to the increase of the response time, which might be inevitable due to socioeconomic reasons in practice and will largely discount the efficiency.Comment: 5 pages,3 figure

Intuitionistic Fuzzy AHP and WASPAS to Assess Service Quality in Online Transportation

Indonesia is currently entering a new normal era; this requires people to adapt to the cleanliving habit in accordance with health standards in order to carry out normal activities. At the same time, online transportation services have reopened for activity. The service quality provided by online ride-hailing companies (i.e., ojek) such as Gojek, Grab, and Maxim must now consider matters relating to user safety. This study proposes Multi Criteria Decision Making (MCDM) as a method for assessing the service quality of online transportation service providers and uses the Pandemic-SERVQUAL 4.0 model. Pandemi-SERVQUAL 4.0 model adds two new criteria, namely "pandemic" and "industry 4.0". The addition of two new criteria that are more relevant to the current circumstances will increase the accuracy of the research. This study aims to propose the integration of Interval Valued Intuitionistic Fuzzy Analytical Hierarchy Process (IVIF-AHP) to determine the criteria weight and Interval Valued Intuitionistic Fuzzy Weighted Aggregated Sum-Product Assessment (IVIF-WASPAS) to assess the service quality of several online transportation service providers based on the obtained criteria weights. From the results of the service quality assessment using the integration of IVIFAHP and IVIF-WASPAS, the ranking of online transportation service providers during the new normal era were Grab-car, Go-car, and Maxim-car

Epidemics and pandemics : Covid-19 and the ‘‘drop of honey effect’’

Purpose: The aim of this paper is the use of the “drop of honey effect” to explain the spread of Covid-19. Approach/Methodology/Design: After Covid-19 appearance in Wuhan, in the Chinese province of Hubei, by December, 2019, it spread all over the world. The World Health Organization declared it as pandemic in March 11, 2020. The infection is highly contagious and made thousands of deaths around the world. Timely decisions are key for the control of the dissemination. The “drop of honey effect” results as an important framework to explain the Covid-19 spread. Findings: An opportune decision in a very initial moment could have made all the difference in the virus spread. Practical Implications: The study will contribute positively for the understanding of the importance of well-timed decisions for governments, world organizations, academia, companies and people, each one on a different dimension’s level. Originality/Value: This study presents the “drop of honey effect” as an original and very suitable framework to explain the way how the virus spread all over the world after the virus in Wuhan began to infect people.peer-reviewe