Hepatitis E in 24 Chinese Cities, 2008–2018: A New Analysis Method for the Disease's Occupational Characteristics

Background: The disease burden of hepatitis E remains high. We used a new method (richness, diversity, evenness, and similarity analyses) to classify cities according to the occupational classification of hepatitis E patients across regions in China and compared the results of cluster analysis.Methods: Data on reported hepatitis E cases from 2008 to 2018 were collected from 24 cities (9 in Jilin Province, 13 in Jiangsu Province, Xiamen City, and Chuxiong Yi Autonomous Prefecture). Traditional statistical methods were used to describe the epidemiological characteristics of hepatitis E patients, while the new method and cluster analysis were used to classify the cities by analyzing the occupational composition across regions.Results: The prevalence of hepatitis E in eastern China (Jiangsu Province) was similar to that in the south (Xiamen City) and southwest of China (Chuxiong Yi Autonomous Prefecture), but higher than that in the north (Jilin Province). The age of hepatitis E patients was concentrated between 41 and 60 years, and the sex ratio ranged from 1:1.6 to 1:3.4. Farming was the most highly prevalent occupation; other sub-prevalent occupations included retirement, housework and unemployment. The incidence of occupations among migrant workers, medical staff, teachers, and students was moderate. There were several occupational types with few or no records, such as catering industry, caregivers and babysitters, diaspora children, childcare, herders, and fishing (boat) people. The occupational similarity of hepatitis E was high among economically developed cities, such as Nanjing, Wuxi, Baicheng, and Xiamen, while the similarity was small among cities with large economic disparities, such as Nanjing and Chuxiong Yi Autonomous Prefecture. A comparison of the classification results revealed more similarities and some differences when using these two methods.Conclusion: In China, the factors with the greatest influence on the prevalence of hepatitis E are living in the south, farming as an occupation, being middle-aged or elderly, and being male. The 24 cities we studied were highly diverse and moderately similar in terms of the occupational distribution of patients with hepatitis E. We confirmed the validity of the new method on in classifying cities according to their occupational composition by comparing it with the clustering method.

Pensionable age vs cross-country diversity of economic activity of the near-elderly

Purpose The purpose of this paper is to examine whether cross-country differences in pensionable age explain such differences in economic activity of people at near-retirement age. Design/methodology/approach The empirical study uses regression models for macro-panel encompassing 21 European countries in the period 2008–2014. Findings Empirical results indicate that pensionable age is a determinant of cross-country differences in employment rate in the near-retirement age group, and less a factor differentiating average effective retirement age. It turns out that other factors matter, including salaries and wages as percentage of GDP (treated as a proxy for the occupational composition of populations across the countries studied), self-employment, participation in education and training, or self-perceived health. Social implications The problem of economic activity at the near-retirement age is complex and cannot be limited to legal regulations concerning pensionable age. The policy aiming at stimulating the economic activity of the near-elderly should include actions on many sides including labour market, pension system, education, training, or health care. Originality/value The results complement studies based on the single-country approach and demonstrate that pensionable age does not account for cross-country differences in terms of average effective age of retirement when controlling for other factors. Moreover, factors differentiating effective retirement age and employments rates across countries studied are not similar.

Within-Occupation Changes Dominate Changes in What Workers Do: A Shift-Share Decomposition, 2005–2015

This paper measures aggregate changes in job characteristics in the United States from 2005 to 2015 and decomposes those changes into components representing shifts within occupations and changes in occupational employment shares. Per our title, within-occupation changes dominate, raising doubts about the ability of projections based on expected changes in the occupational composition of employment to capture the likely future of work. Indeed, our data show only weak relationships between automatability, repetitiveness, and other job attributes and changes in occupational employment. The results suggest that analysts give greater attention to within-occupation impacts of technology in assessing the future of work.

Current approaches to assessment of the impact of the environmental contamination on cancer risk

The current estimates of the contribution of the environmental contamination to cancer mortality range from 1 to 20 %, being a function of the ecological conditions, the density of industrial enterprises, occupational composition of the population, and others. Assessment of the impact of environmental contamination on cancer risk includes: •setting research priorities on the local, regional, and on the all-Russian levels; •the selection of the research that may be maximally socially profitable; •the choice of the research method that the most adequately meets the research objectives; •systemic analysis of the planed research to determine the availability of the resources, personnel, and information; •monitoring of atmospheric pollutions with analysis of the fraction composition of the particulate matters; •coordination of available data basis on environment and the population health conditions; •the implementation of the of molecular biology to determine prenosological manifestation of carcinogenesis and development of fine and diverse research methods on relationships between the environment and cancer risk.For effective implementation of the research objectives aimed to decrease the impact of hazard factors with special reference on cancer risk in the Russian population, it is necessary: to create training personnel capable of providing epidemiologic studies, using up-to day methods, publication of methodological materials, text books, and sufficient funding of studies.

Influence of occupational factors on regional differences in sick leave: A prospective population study

Aims: Number of sick leave days vary by county, but little is known about the extent to which this gradient may be explained by differences pertaining to occupational composition and occupational exposure. Methods: A randomly drawn cohort from the general population in Norway, aged 18–69 years, was interviewed by telephone in the second half of 2009 ( n=12,255; response at baseline=60.9%) and followed up in national registries to the end of 2010. Eligible respondents were registered with an active employee relationship in 2009 and 2010 ( n=8275). Information on counties ( n=19) was based on the administrative register. The outcome of interest was the number of physician-certified sick-leave days divided by scheduled man-days during 2010 (i.e. sick-leave percentage (SLP)). Results: The average SLP during 2010 was 5.2%. The between-county variation in SLP ranged from 4.0% to 7.2%. Compared to the age- and gender-adjusted model, adjustment for occupation, economic sector and self-reported occupational exposure reduced the median difference in SLP between the county with the lowest SLP (reference county) and the SLP in the other counties by 1.08 percentage points (i.e. a 58% reduction). The impact of occupational composition and occupational exposure on the total between-county variance in SLP was a 16% reduction. Conclusions: Occupational composition and self-reported occupational exposure help to explain a significant part of the difference in SLP between counties, and appear to be more important explanatory factors than demographic variables, self-reported health and smoking.

Immigrant Occupational Composition and the Earnings of Immigrants and Natives in Germany: Sorting or Devaluation?

In this article, the influence of immigrant occupational composition on the earnings of immigrants and natives in Germany is examined. Using data from the German Socio-Economic Panel Study and the German Microcensus, several relevant concepts are tested. The notion of quality sorting states that the differences in wages that are associated with the immigrant share within occupations are due only to differences in qualification requirements. Cultural devaluation assumes a negative influence over and above that of quality sorting. The findings indicate that both processes are at work. Additional analyses reveal that the impact of immigrant occupational composition is largely restricted to white-collar occupations, which underlines the importance of considering historical differences between occupation types in classic migration destinations such as Germany.

Labor Market Adjustment In High-Tech Industries: A Critical Review

Capitalist restructuring in the United States has been a key fore in reshaping cities and regions in the late 1970s and 1980s. The emergence of high-tech industries and its impact on the level of employment, the quality of work, and the condition of labor is at the core of the social debate over the high-tech led economic development. Some researchers argue that high-tech industries have a positive effect on labor markets. Others seem to support the idea of a significant negative impact exercised by high-technologies on employment patterns and occupational composition. The purpose of this paper is to provide some insights on this debate by critically examining the relevant literature. We conclude that there is a need to inquire further into the labor market adjustment at the local level to unravel the inner complexities.