Introduction to the National Blue Bay Remediation Action Plan in China
In: Australian journal of maritime & ocean affairs, Band 10, Heft 4, S. 256-262
ISSN: 2333-6498
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In: Australian journal of maritime & ocean affairs, Band 10, Heft 4, S. 256-262
ISSN: 2333-6498
In: Communications in statistics. Theory and methods, Band 44, Heft 7, S. 1497-1507
ISSN: 1532-415X
In: Australian journal of maritime & ocean affairs, Band 3, Heft 4, S. 130-135
ISSN: 2333-6498
In: Xian dai fa xue: Modern law science, Band 30, Heft 2, S. 186-193
ISSN: 1001-2397
In: Sustainability Accounting and Reporting, S. 457-471
In: The leadership quarterly: an international journal of political, social and behavioral science, Band 23, Heft 5, S. 775-790
In: Defence Technology, Band 28, S. 330-342
ISSN: 2214-9147
Though COVID-19 vaccines have shown high efficacy, real-world effectiveness at the population level remains unclear. Based on the longitudinal data on vaccination coverage and daily infection cases from fifty states in the United States from March to May 2021, causal analyses were conducted using structural nested mean models to estimate the population-level effectiveness of the COVID-19 vaccination program against infection with the original strain. We found that in the US, every 1% increase of vaccination coverage rate reduced the weekly growth rate of COVID-19 confirmed cases by 1.02% (95% CI: 0.26%, 1.69%), and the estimated population-level effectiveness of the COVID-19 program was 63.9% (95% CI: 18.0%, 87.5%). In comparison to a no-vaccination scenario, the COVID-19 vaccination campaign averted 8.05 million infections through the study period. Scenario analyses show that a vaccination program with doubled vaccination speed or with more rapid vaccination speed at the early stages of the campaign would avert more infections and increase vaccine effectiveness. The COVID-19 vaccination program demonstrated a high population-level effectiveness and significantly reduced the disease burden in the US. Accelerating vaccine rollout, especially at an early stage of the campaign, is crucial for reducing COVID-19 infections.
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In: Research in economics: Ricerche economiche, Band 63, Heft 1, S. 55-61
ISSN: 1090-9451
In: European journal of work and organizational psychology: the official journal of The European Association of Work and Organizational Psychology, Band 31, Heft 4, S. 550-566
ISSN: 1464-0643
In: Materials and design, Band 85, S. 618-625
ISSN: 1873-4197
In: Materials & Design, Band 71, S. 1-16
In: Wang , X-H F , Fang , Y , Qureshi , I & Janssen , O 2015 , ' Understanding employee innovative behavior : Integrating the social network and leader-member exchange perspectives ' , Journal of Organizational Behavior , vol. 36 , no. 3 , pp. 403-420 . https://doi.org/10.1002/job.1994 ; ISSN:0894-3796
By integrating social network theory and leader-member exchange (LMX) theory, we explore the effects of three types of social relationships on employee innovative behavior: weak ties outside the group, LMX, and strong ties within the group. The results from a sample in a high-tech firm showed that LMX fully mediated the positive relationship between out-group weak ties and innovative behavior. Furthermore, within-group strong ties negatively moderated the second stage of this indirect relationship, such that LMX was positively and significantly related to innovative behavior only when the number of within-group strong ties was low. The theoretical and practical implications of these findings are discussed. Copyright (c) 2015 John Wiley & Sons, Ltd.
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In: Materials & Design, Band 50, S. 968-976
In: Environmental science and pollution research: ESPR, Band 20, Heft 12, S. 8484-8490
ISSN: 1614-7499