The Impact of Introducing a Minimum Wage on Business Cycle Volatility: A Structural Analysis for Hong Kong SAR

2008 ◽  
Author(s):  
Nathaniel John Porter ◽  
Francis Vitek
2020 ◽  
Vol 94 (21) ◽  
Author(s):  
Rodney S. Daniels ◽  
Herman Tse ◽  
Burcu Ermetal ◽  
Zheng Xiang ◽  
Deborah J. Jackson ◽  
...  

ABSTRACT In 2014, the Centre for Health Protection in Hong Kong introduced screening for influenza C virus (ICV) as part of its routine surveillance for infectious agents in specimens collected from patients presenting with symptoms of respiratory viral infection, including influenza-like illness (ILI). A retrospective analysis of ICV detections up to week 26 of 2019 revealed persistent low-level circulation, with two outbreaks having occurred in the winters of 2015 to 2016 and 2017 to 2018. These outbreaks occurred at the same time as, and were dwarfed by, seasonal epidemics of influenza types A and B. Gene sequencing studies on stored ICV-positive clinical specimens from the two outbreaks have shown that the hemagglutinin-esterase (HE) genes of the viruses fall into two of the six recognized genetic lineages (represented by C/Kanagawa/1/76 and C/São Paulo/378/82), with there being significant genetic drift compared to earlier circulating viruses within both lineages. The location of a number of encoded amino acid substitutions in hemagglutinin-esterase fusion (HEF) glycoproteins suggests that antigenic drift may also have occurred. Observations of ICV outbreaks in other countries, with some of the infections being associated with severe disease, indicates that ICV infection has the potential to have significant clinical and health care impacts in humans. IMPORTANCE Influenza C virus infection of humans is common, and reinfection can occur throughout life. While symptoms are generally mild, severe disease cases have been reported, but knowledge of the virus is limited, as little systematic surveillance for influenza C virus is conducted and the virus cannot be studied by classical virologic methods because it cannot be readily isolated in laboratories. A combination of systematic surveillance in Hong Kong SAR, China, and new gene sequencing methods has been used in this study to assess influenza C virus evolution and provides evidence for a 2-year cycle of disease outbreaks. The results of studies like that reported here are key to developing an understanding of the impact of influenza C virus infection in humans and how virus evolution might be associated with epidemics.


2021 ◽  
Author(s):  
Rodney S. Daniels ◽  
Monica Galiano ◽  
Burcu Ermetal ◽  
Jasmine Kwong ◽  
Chi S. Lau ◽  
...  

From 2014 to week 07/2020 the Centre for Health Protection in Hong Kong conducted screening for influenza C virus (ICV). A retrospective analysis of ICV detections to week 26/2019 revealed persistent low-level circulation with outbreaks occurring biennially in the winters of 2015-16 and 2017-18 (1). Here we report on an outbreak occurring in 2019-20, reinforcing the observation of biennial seasonality in Hong Kong. All three outbreaks occurred in similar time-frames, were subsequently dwarfed by seasonal epidemics of influenza types A and B, and were caused by similar proportions of C/Kanagawa/1/76 (K-)lineage and C/São Paulo/378/82 S1- and S2-sublineage viruses. Ongoing genetic drift was observed in all genes, with some evidence of amino acid substitution in the HEF glycoprotein possibly associated with antigenic drift. A total of 61 ICV genomes covering the three outbreaks were analysed for reassortment and nine different reassortant constellations were identified, one K-lineage, four S1-sublineage and four S2-sublineage, with six of these being identified first in the 2019-20 outbreak (two S2-lineage and four S1-lineage). The roles that virus interference/enhancement, ICV persistent infection, genome evolution and reassortment might play in the observed seasonality of ICV in Hong Kong are discussed. Importance Influenza C virus (ICV) infection of humans is common with the great majority of people being infected during childhood, though re-infection can occur throughout life. While infection normally results in ‘cold-like’ symptoms, severe disease cases have been reported in recent years. However, knowledge of ICV is limited due to poor systematic surveillance and an inability to propagate the virus in large amounts in the laboratory. Following recent systematic surveillance in Hong Kong SAR, China and direct ICV gene sequencing from clinical specimens a two-year cycle of disease outbreaks (epidemics) has been identified with gene mixing playing a significant role in ICV evolution. Studies like those reported here are key to developing an understanding of the impact of influenza C virus infection in humans, notably where comorbidities exist and severe respiratory disease can develop.


2000 ◽  
Vol 49 (4) ◽  
pp. 867-875
Author(s):  
Qingjiang Kong

On 1 July 1997 Hong Kong entered a new era when it was transformed from a British colony into a Special Administrative Region (SAR) of the People's Republic of China (PRC). The impact of the handover of Hong Kong cannot be overstated but, for the time being perhaps, may lie more in the sphere of ideology than in institutions.


2020 ◽  
Vol 15 (1) ◽  
pp. 37-44
Author(s):  
El Mehdi Echebba ◽  
Hasnae Boubel ◽  
Oumnia Elmrabet ◽  
Mohamed Rougui

Abstract In this paper, an evaluation was tried for the impact of structural design on structural response. Several situations are foreseen as the possibilities of changing the distribution of the structural elements (sails, columns, etc.), the width of the structure and the number of floors indicates the adapted type of bracing for a given structure by referring only to its Geometric dimensions. This was done by studying the effect of the technical design of the building on the natural frequency of the structure with the study of the influence of the distribution of the structural elements on the seismic response of the building, taking into account of the requirements of the Moroccan earthquake regulations 2000/2011 and using the ANSYS APDL and Robot Structural Analysis software.


Author(s):  
Frank Heemskerk ◽  
Liviu Voinea ◽  
Alexandra Cojocaru
Keyword(s):  

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