scholarly journals Magnitude, global variation, and temporal development of the COVID-19 infection fatality burden

2021 ◽  
Author(s):  
Christina Bohk-Ewald ◽  
Enrique Acosta ◽  
Tim Riffe ◽  
Christian Dudel ◽  
Mikko Myrskyla
Keyword(s):  
Quality Data ◽  
Limiting Factor ◽  
First Year ◽  
High Quality Data ◽  
Imperfect Data ◽  
Key Indicator ◽  
Country Differences ◽  
Cross Country ◽  
Health And Mortality ◽  
Over Time

How deadly is an infection with SARS-CoV-2 worldwide over time? This information is critical for developing and assessing public health responses on the country and global levels. However, imperfect data have been the most limiting factor for estimating the COVID-19 infection fatality burden during the first year of the pandemic. Here we leverage recently emerged compelling data sources and broadly applicable modeling strategies to estimate the crude infection fatality rate (cIFR) in 77 countries from 28 March 2020 to 31 March 2021, using 2.4 million reported deaths and estimated 435 million infections by age, sex, country, and date. The global average of all cIFR estimates is 1.2% (10th to 90th percentile: 0.2% to 2.4%). The cIFR varies strongly across countries, but little within countries over time, and it is often lower for women than men. Cross-country differences in cIFR are largely driven by the age structures of both the general and the truly infected population. While the broad trends and patterns of the cIFR estimates are more robust, we show that their levels are uncertain and sensitive to input data and modeling choices. In consequence, increased efforts at collecting high-quality data are essential for accurately estimating the cIFR, which is a key indicator for better understanding the health and mortality consequences of this pandemic.

scholarly journals Are Teachers Increasingly Leaving the Profession?

2017 ◽  
Vol 7 (2) ◽  
pp. e1723
Author(s):  
Mari Lande With
Keyword(s):  
Early Retirement ◽  
Demographic Characteristics ◽  
Early Career ◽  
School Level ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Comprehensive Examination ◽  
Education School ◽  
Over Time

Changes in teachers’ work, often labelled intensification, have raised concerns that teachers are leaving the profession at an increasing rate. The present paper uses high-quality data from Norwegian administrative registers to examine the trends in attrition across three decades. These data allow for a comprehensive examination of changes in attrition, taking teachers’ education, school level, and demographic characteristics into account. Results show that early career attrition has declined over time, whereas the incidence of early retirement increased.

scholarly journals Cryo-EM single particle analysis with the Volta phase plate

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Radostin Danev ◽  
Wolfgang Baumeister
Keyword(s):  
Single Particle ◽  
Spherical Aberration ◽  
Quality Data ◽  
Particle Analysis ◽  
Limiting Factor ◽  
Phase Plate ◽  
Single Particle Analysis ◽  
High Quality Data ◽  
Size Heterogeneity ◽  
Resolution Single

We present a method for in-focus data acquisition with a phase plate that enables near-atomic resolution single particle reconstructions. Accurate focusing is the determining factor for obtaining high quality data. A double-area focusing strategy was implemented in order to achieve the required precision. With this approach we obtained a 3.2 Å resolution reconstruction of the Thermoplasma acidophilum 20S proteasome. The phase plate matches or slightly exceeds the performance of the conventional defocus approach. Spherical aberration becomes a limiting factor for achieving resolutions below 3 Å with in-focus phase plate images. The phase plate could enable single particle analysis of challenging samples in terms of small size, heterogeneity and flexibility that are difficult to solve by the conventional defocus approach.

scholarly journals Do Poor Countries Really Need More IT?

2019 ◽  
Vol 34 (1) ◽  
pp. 48-62 ◽  
Author(s):  
Maya Eden ◽  
Paul Gaggl
Keyword(s):  
Information Technologies ◽  
Technological Capabilities ◽  
It Use ◽  
Systematic Relationship ◽  
Industrial Composition ◽  
Poor Countries ◽  
It Capabilities ◽  
Country Differences ◽  
Cross Country ◽  
Over Time

Abstract Productivity differences across countries are often attributed to differences in technological capabilities. This paper asks whether there are systematic cross-country differences in the adoption of information technologies (IT). We document a positive correlation between IT use and income, which weakens over time. However, given that IT use is an endogenous outcome of both technological capabilities and the abundance of complementary factors of production, it tends to over-state the degree of cross-country differences in technology. We propose two novel calibration approaches to address this problem. After accounting for endogenous differences in industrial composition, we find that there is no systematic relationship between income and IT capabilities.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

How Does Firm Size Explain Cross-Country Differences in Ownership Concentration?

2020 ◽  
Author(s):  
Fariborz Moshirian ◽  
Nguyen Thi Thuy ◽  
Jin Yu ◽  
Bohui Zhang
Keyword(s):  
Firm Size ◽  
Ownership Concentration ◽  
Country Differences ◽  
Cross Country

Introduction

2018 ◽  
Author(s):  
Telesca Giuseppe
Keyword(s):  
Structural Analysis ◽  
Institutional Change ◽  
Cultural Context ◽  
The Past ◽  
Final Goal ◽  
Social Structural ◽  
Country Analysis ◽  
Cross Country ◽  
Over Time

The ambition of this book is to combine different bodies of scholarship that in the past have been interested in (1) providing social/structural analysis of financial elites, (2) measuring their influence, or (3) exploring their degree of persistence/circulation. The final goal of the volume is to investigate the adjustment of financial elites to institutional change, and to assess financial elites’ contribution to institutional change. To reach this goal, the nine chapters of the book introduced here look at financial elites’ role in different European societies and markets over time, and provide historical comparisons and country and cross-country analysis of their adaptation and contribution to the transformation of the national and international regulatory/cultural context in the wake of a crisis or in a longer term perspective.

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

scholarly journals Velocity Analysis Using Separated Diffractions for Lunar Penetrating Radar Obtained by Yutu-2 Rover

2021 ◽  
Vol 13 (7) ◽  
pp. 1387
Author(s):  
Chao Li ◽  
Jinhai Zhang
Keyword(s):  
Dielectric Permittivity ◽  
Lunar Regolith ◽  
Velocity Model ◽  
Velocity Estimation ◽  
Quality Data ◽  
High Quality Data ◽  
Shallow Subsurface ◽  
Subsurface Structures ◽  
Ground Penetrating ◽  
Permittivity Model

The high-frequency channel of lunar penetrating radar (LPR) onboard Yutu-2 rover successfully collected high quality data on the far side of the Moon, which provide a chance for us to detect the shallow subsurface structures and thickness of lunar regolith. However, traditional methods cannot obtain reliable dielectric permittivity model, especially in the presence of high mix between diffractions and reflections, which is essential for understanding and interpreting the composition of lunar subsurface materials. In this paper, we introduce an effective method to construct a reliable velocity model by separating diffractions from reflections and perform focusing analysis using separated diffractions. We first used the plane-wave destruction method to extract weak-energy diffractions interfered by strong reflections, and the LPR data are separated into two parts: diffractions and reflections. Then, we construct a macro-velocity model of lunar subsurface by focusing analysis on separated diffractions. Both the synthetic ground penetrating radar (GPR) and LPR data shows that the migration results of separated reflections have much clearer subsurface structures, compared with the migration results of un-separated data. Our results produce accurate velocity estimation, which is vital for high-precision migration; additionally, the accurate velocity estimation directly provides solid constraints on the dielectric permittivity at different depth.

Connections Between Cultures: Using Empirical Distributions for Measuring Cultural Differences

2020 ◽  
pp. 002202212098237
Author(s):  
Wolfgang Messner
Keyword(s):  
Cultural Values ◽  
Cultural Differences ◽  
Distance Measures ◽  
Cultural Variation ◽  
Group Level ◽  
Psychological Phenomena ◽  
Empirical Distributions ◽  
Leibler Divergence ◽  
Country Differences ◽  
Cross Country

The past few decades have seen an explosion in the interest in cultural differences and their impact on many aspects of business management. A noticeable feature of most academic studies and practitioner approaches is the predominant use of national boundaries and group-level averages as delimiters and proxies for culture. However, this largely ignores the significance that intra-country differences and cross-country similarities can have for identifying psychological phenomena. This article argues for the importance of considering intra-cultural variation for establishing connections between two different cultures. It uses empirical distributions of cultural values that occur naturally within a country, thereby making intracultural differences interpretable and actionable. For measuring cross-country differences, the Gini/Weitzman overlapping index and the Kullback-Leibler divergence coefficient are used as difference measures between two distributions. The properties of these measures in comparison to traditional group-level mean-based distance measures are analyzed, and implications for cross-cultural and international business research are discussed.

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