scholarly journals The role of the SwissCovid digital proximity tracing app during the pandemic response: results for the Canton of Zurich

2021 ◽  
Author(s):  
Dominik Menges ◽  
Hélène Aschmann ◽  
André Moser ◽  
Christian L. Althaus ◽  
Viktor von Wyl
Keyword(s):  
Performance Indicators ◽  
National Level ◽  
Real Life ◽  
Key Performance Indicators ◽  
Study Data ◽  
Stochastic Simulations ◽  
Contact Tracing ◽  
And Performance ◽  
Using Data ◽  
The Impact

AbstractImportanceDigital proximity tracing (DPT) apps were released in several countries to help interrupt SARS-CoV-2 transmission chains in the population. However, the impact of DPT on pandemic mitigation still remains to be demonstrated.ObjectiveTo estimate key populations and performance indicators along the DPT app notification cascade in a clearly defined regional (Canton of Zurich, using all of Switzerland as a comparison) and temporal context (September/October 2020).DesignPublicly available administrative and research data, including key DPT performance indicators, SARS-CoV-2 testing statistics, infoline call statistics, and observational study data, were compiled. A model of the DPT notification cascade was developed and key performance indicators for DPT processes were defined. Subpopulation sizes at each cascade step were estimated using data triangulation. Resulting estimates were systematically checked for internal consistency and consistency with other up- or downstream estimates in the cascade. Stochastic simulations were performed to explore robustness of results.ResultsFor the Canton of Zurich, we estimate that 537 app users received a positive SARS-CoV-2 test in September 2020, of whom 324 received and entered a CovidCode. This triggered an app notification for an estimated 1374 proximity contacts and led to 722 infoline calls. In total, 170 callers received a quarantine recommendation, and 30 app users tested positive for SARS-CoV-2 after an app notification, reflecting a performance above the national level.Based on this quantification, key performance indicators were evaluated. For September 2020, these analyses suggest that SwissCovid triggered quarantine recommendations in the equivalent of 5% of all exposed contacts placed in quarantine by manual contact tracing. Per 11 CovidCodes entered in the app, we estimate that almost 1 contact tested positive for SARS-CoV-2 upon app notification.However, longitudinal indicator analyses demonstrate bottlenecks in the notification cascade, as capacity limits were reached due to large increases in SARS-CoV-2 incidence in October 2020.ConclusionAlthough requiring confirmation, our estimations on the number of notified proximity contacts receiving quarantine recommendations or testing positive after notification suggest relevant contributions to mitigating the pandemic. Increasing SwissCovid app uptake and improving notification cascade performance may further enhance its impact.Key pointsQuestionWhat is the real-life impact of Digital proximity tracing (DPT) apps on interrupting SARS-CoV-2 transmission chains?FindingsThis data-informed simulation study found that, in the canton of Zurich, the number of app notified persons receiving a quarantine recommendation corresponds to the equivalent of up to 5% of all mandatory quarantined contacts identified by manual contact tracing. Furthermore, about 1 in 11 notification triggers led to SARS-CoV-2 testing of an exposed proximity contact who was consecutively tested positive.MeaningDPT apps exert a measurable impact that will further scale as more persons use the apps.

scholarly journals The Impact of Joint Commission International Healthcare Accreditation on Infection Control Performance: A Study in Dubai Hospital

2017 ◽  
Vol 5 (1) ◽  
pp. 37-45
Author(s):  
Fatima Mahmoud Salim ◽  
Mohammad Habibur Rahman
Keyword(s):  
Infection Control ◽  
United Arab Emirates ◽  
Performance Indicators ◽  
National Level ◽  
Key Performance Indicators ◽  
Joint Commission ◽  
Surveillance Systems ◽  
Longitudinal Case Study ◽  
Joint Commission International ◽  
The Impact

Objective - The United Arab Emirates (UAE) Vision 2021 aims to achieve a world-class healthcare system and the national agenda has set multiple Key Performance Indicators (KPIs) to accomplish accreditation by all healthcare facilities in the country by 2021. The purpose of this study was to assess the impact of Joint Commission International (JCI) accreditation on Infection Control (IC) KPIs in Dubai Hospital (DH). Methodology/Technique - A longitudinal case study covering 2007 to 2013 was conducted to examine this impact based on secondary data of the KPIs during this period and semi-structured interviews with senior health officials. Findings - The study reveals that the healthcare accreditation acts as a catalyst for implementing and monitoring changes but it also underscores some challenges. It proposes recommendations such as improving surveillance systems, ensuring proper resources allocation, and undertaking further research. Novelty - The study recommends improving the surveillance and reporting systems at the national level through frequent internal surveys. Type of Paper - Empirical Keywords: Dubai; Infection Control; Joint Commission International Accreditation; Key Performance Indicators; United Arab Emirates. JEL Classification: H51, I11, P46

scholarly journals Evaluation of the impact of promotional campaign through a social networks on the key performance indicators of website for online of group-buying in Brazil

2016 ◽  
pp. 244
Author(s):  
I. А. Rodello ◽  
V. Dândolo ◽  
M. M. Grande
Keyword(s):  
Social Networks ◽  
Correlation Coefficient ◽  
Performance Indicators ◽  
Web Site ◽  
Pearson Correlation ◽  
Key Performance Indicators ◽  
Main Task ◽  
Group Buying ◽  
Promotional Campaign ◽  
The Impact

Relevance of the study: Based on data collection and analysis, present research made it possible to identify how the activities devised by a group-buying website on Facebook may exert influence on the KPIs for success.Purpose: The main task of present research is to answer the following question: can a digital social network be considered an effective tool for the improvement of key performance indicators (KPI) of a group-buying website?Findings: The research was conducted by considering data collected via mechanical observation using the computational tools Facebook Dashboard and Google Analytics. Data were analyzed using the means of comparison and a Pearson correlation coefficient, which demonstrated positive results of the campaign. When compared, the key performance indicators of the web site relating to Facebook displayed a larger dynamics than the general performance indicators of this web site. By the correlation coefficient, it was found that a higher power range of the Facebook Enterprise´s fan page could result in the increased traffic page hits of the examined web site, and an increase, mainly, in the number of new visitors.Originality / value: This paper analyzes some key performance indicators of a promotional campaign on Facebook for an online group-buying website in the city of Ribeirão Preto, São Paulo State, Brazil.Practical implications: Based on the collected data and performed analysis, it was found that the promotional activities on Facebook can increase the flow of new visitors and attract potential buyers to a group-buying website.Future research: It is recommended to perform further research for other social networks and in other countries.

Nga Takepu and Ako

2019 ◽  
pp. 364-374
Author(s):  
Norma Rosales-Anderson
Keyword(s):  
Performance Indicators ◽  
Key Performance Indicators ◽  
The Impact

This chapter explores ngā takepū relationships that positively influence kaiako and ākonga engagement within Te Wānanga o Aotearoa. The focus is on the impact of whanaungatanga, wairuatanga, whakapono, kaitiakitanga, and āhurutanga within the ako process. The approach of being accountable and responsible through key performance indicators are compared to ngā takepū as hoa haere or kaitiaki that are markers of a softer approach. Ngā takepū advocacy of responsibility and accountability are explained as well as their gentle touch as constant reminders of what is just, fair, honorable, and right in the pursuit of mauri ora for all.

Modeling and Performance Studies of ATM Networks Over Voice and Video

2012 ◽  
Vol 3 (3) ◽  
pp. 47-56
Author(s):  
Kashif Nisar ◽  
Nurul I. Sarkar
Keyword(s):  
Performance Studies ◽  
Asynchronous Transfer Mode ◽  
Real Life ◽  
Segment Length ◽  
Atm Networks ◽  
Atm Network ◽  
Type Data ◽  
And Performance ◽  
Network Technologies ◽  
The Impact

The Advanced Network Technologies is a research that investigates the technology(s) behind today’s modern networks and network infrastructures one of these technologies being Asynchronous Transfer Mode (ATM). Therefore, also focuses its attention on ATM. Dubbed “Modelling and Performance Studies of ATM Networks”; this research seeks to look at, and into, the impact of application segment length on the performance of an ATM network and the impact of traffic type data on the performance of an ATM network. To be able to examine an ATM network, we need to be able to simulate it somehow. This research, the authors have used the OPNET Modeler 14.0 simulation tool to create a network model that represents a real-life ATM network. And by actually simulating an ATM network at AUT University New Zealand, they can therefore change certain variables, and observe the effects the changes have on performance. As stated above, one of the impacts that will be explored is the effect that application segment length has on an ATM network. Thus, one variable that will be changed in our simulation is the segment length. This is the length of each packet segment that is sent through the network for a particular traffic type. The second impact to be inspected is the impact of different traffic types on an ATM network. For example, voice & video traffic should theoretically affect an ATM network

scholarly journals Specialization and Performance: Evidence from NCAA 4 × 400 m Relay Times

Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 96
Author(s):  
Candon Johnson ◽  
Robert Schultz ◽  
Joshua C. Hall
Keyword(s):  
Performance Measure ◽  
Division I ◽  
Division Iii ◽  
Overall Performance ◽  
The Difference ◽  
And Performance ◽  
Using Data ◽  
The Impact ◽  
Better Than

This paper investigates the impact of having open 400 meter (400 m) runners on NCAA relay teams. Using data from 2012–2016 containing the top 100 4 × 400 m in each NCAA Division relay times for each year, it is found that more 400 m specialists lead to an increase in the overall performance of the team, measured by a decrease in relay times. The effect is examined across Division I–III NCAA track teams. The results are consistent across each division. We view this as a test of the role of specialization on performance. Using runners who specialize in 400 m races should increase overall team performance as long as specialization does not lead to an inefficient allocation of team human capital. An additional performance measure is used examining the difference between projected and actual relay times. Divisions I and II are found to perform better than projected with an increase in 400 m runners, but there is no effect found in Division III.

scholarly journals Implementing and measuring person-centredness using an APP for knowledge transfer: the iMPAKT app

2020 ◽  
Vol 32 (4) ◽  
pp. 251-258 ◽  
Author(s):  
Tanya McCance ◽  
Brighide M Lynch ◽  
Christine Boomer ◽  
Donna Brown ◽  
Christopher Nugent ◽  
...  
Keyword(s):  
Knowledge Transfer ◽  
Patient Experience ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Structured Interviews ◽  
Evaluation Approach ◽  
Experience Of Care ◽  
Measurement Framework ◽  
The Uk ◽  
The Impact

Abstract Objective The aim of the study was to evaluate a technological solution in the form of an App to implement and measure person-centredness in nursing. The focus was to enhance the knowledge transfer of a set of person-centred key performance indicators and the corresponding measurement framework used to inform improvements in the experience of care. Design The study used an evaluation approach derived from the work of the Medical Research Council to assess the feasibility of the App and establish the degree to which the App was meeting the aims set out in the development phase. Evaluation data were collected using focus groups (n = 7) and semi-structured interviews (n = 7) to capture the impact of processes experienced by participating sites. Setting The study was conducted in the UK and Australia in two organizations, across 11 participating sites. Participants 22 nurses from 11 sites in two large health care organizations were recruited on a voluntary basis. Intervention Implementing the KPIs and measurement framework via the APP through two cycles of data collection. Main Outcome Measures The main outcome was to establish feasibility in the use of the App. Results The majority of nurse/midwife participants found the App easy to use. There was broad consensus that the App was an effective method to measure the patient experience and generated clear, concise reports in real time. Conclusions The implementation of the person-centred key performance indicators using the App enhanced the generation of meaningful data to evidence patient experience across a range of different clinical settings.

Efficient computation of key performance indicators in a distance learning university

2019 ◽  
Vol 47 (2) ◽  
pp. 96-105 ◽  
Author(s):  
Riccardo Pecori ◽  
Vincenzo Suraci ◽  
Pietro Ducange
Keyword(s):  
Big Data ◽  
Distance Learning ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Data Representation ◽  
Efficient Computation ◽  
Educational Decisions ◽  
Content Type ◽  
Educational Sources ◽  
And Performance

Purpose Managing efficiently educational Big Data, produced by Virtual Learning Environments, is becoming a compelling necessity, especially for those universities providing distance learning. This paper aims to propose a possible framework to compute efficiently key performance indicators, summarizing the trends of students’ academic careers, by using educational Big Data. Design/methodology/approach The framework is designed and implemented in a distributed fashion. The parallel computation of the indicators through Map and Reduce nodes is carefully described, together with the workflow of data, from the educational sources to a NoSQL database and to the learning analytics engine. Findings This framework was tested at eCampus University, an Italian distance learning institution, and it was able to significantly reduce the amount of time needed to compute key performance indicators. Moreover, by implementing a proper data representation dashboard, it resulted in a useful help and support for educational decisions and performance analyses and for revealing possible criticalities. Originality/value The framework proposed integrates for the first time, to the best of the authors’ knowledge, a set of modules, designed and implemented in a distributed fashion, to compute key performance indicators for distance learning institutions. It can be used to analyze the dropouts and the outcomes of students and, therefore, to evaluate the performances of universities, which can, in turn, propose effective improvements toward enhancing the overall e-learning scenario.

scholarly journals The Impact of Perceived Subgroup Formation on Transactive Memory Systems and Performance in Distributed Teams

2016 ◽  
Vol 12 (1) ◽  
pp. 44-66 ◽  
Author(s):  
Yide Shen ◽  
Michael J. Gallivan ◽  
Xinlin Tang
Keyword(s):  
Team Performance ◽  
Memory Systems ◽  
Transactive Memory ◽  
Distributed Teams ◽  
Future Research ◽  
Negative Effect ◽  
Group Members ◽  
And Performance ◽  
Using Data ◽  
The Impact

With distributed teams becoming increasingly common in organizations, improving their performance is a critical challenge for both practitioners and researchers. This research examines how group members' perception of subgroup formation affects team performance in fully distributed teams. The authors propose that individual members' perception about the presence of subgroups within the team has a negative effect on team performance, which manifests itself through decreases in a team's transactive memory system (TMS). Using data from 154 members of 41 fully distributed teams (where no group members were colocated), the authors found that members' perceptions of the existence of subgroups impair the team's TMS and its overall performance. They found these effects to be statistically significant. In addition, decreases in a group's TMS partially mediate the effect of perceived subgroup formation on team performance. The authors discuss the implications of their findings for managerial action, as well as for researchers, and they propose directions for future research.

scholarly journals Key Performance Indicators for the Impact of Cognitive Assembly Planning on Ramp-Up Process

2012 ◽  
Vol 2012 ◽  
pp. 1-19
Author(s):  
Christian Buescher ◽  
Eckart Hauck ◽  
Daniel Schilberg ◽  
Sabina Jeschke
Keyword(s):  
Performance Indicators ◽  
Main Idea ◽  
Control Unit ◽  
Key Performance Indicators ◽  
Production Costs ◽  
Human Cognition ◽  
Assembly Planning ◽  
Assembly Systems ◽  
Planning Effort ◽  
The Impact

Within the ramp-up phase of highly automated assembly systems, the planning effort forms a large part of production costs. Due to shortening product lifecycles, changing customer demands, and therefore an increasing number of ramp-up processes, these costs even rise. So assembly systems should reduce these efforts and simultaneously be flexible for quick adaption to changes in products and their variants. A cognitive interaction system in the field of assembly planning systems is developed within the Cluster of Excellence “Integrative production technology for high-wage countries” at RWTH Aachen University which integrates several cognitive capabilities according to human cognition. This approach combines the advantages of automation with the flexibility of humans. In this paper the main principles of the system's core component—the cognitive control unit—are presented to underline its advantages with respect to traditional assembly systems. Based on this, the actual innovation of this paper is the development of key performance indicators. These refer to the ramp-up process as a main objective of such a system is to minimize the planning effort during ramp-up. The KPIs are also designed to show the impact on the main idea of the Cluster of Excellence in resolving the so-called Polylemma of Production.

Regulatory non-compliance and performance of deposit money banks in Nigeria

2018 ◽  
Vol 26 (3) ◽  
pp. 425-441 ◽  
Author(s):  
Ismaila Yusuf ◽  
Damola Ekundayo
Keyword(s):  
Emerging Economy ◽  
Bottom Line ◽  
Content Type ◽  
Correlational Research ◽  
And Performance ◽  
Using Data ◽  
The Cost ◽  
The Impact ◽  
Nigerian Banking ◽  
Practical Implications

Purpose The purpose of this study is to examine regulatory sanctions from an emerging economy perspective and analyzing the impact of regulators imposed monetary sanctions on banks’ performance. Design/methodology/approach The study adopted correlational research design to examine the effect of regulatory penalties on the performance of deposit money banks in Nigeria. This study used panel data from a sample of 15 deposit money banks in Nigeria for the period of 2006-2015. Multiple regression analysis was carried out. Findings Results showed that penalties imposed by regulators in the Nigerian banking industry have no significant impact on the bottom line of the defaulters. Penalties imposed on foreign exchange and international trade related infraction showed that the cost of penalties is below the benefits enjoyed from such infractions. Practical implications The insignificant impact of penalties on performance implies that deposit money banks have considered penalties imposed by regulators as operational expenses and transferred such to customers. Originality/value The study differs from other studies that examined regulatory penalties on performance by focusing on financial performance and using data from an emerging economy perceived to have weak regulatory environment.

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