Measuring Economic Ripple Effect by Log Export from Shibushi Port in Kagoshima Prefecture

Abstract Background The recent outbreak of COVID-19 has impacted adversely upon the mental health of millions of people worldwide. Impacts on the mental health conditions and the associated predictors relating to adults in Pakistan, the fifth most populous country in the world, during the COVID-19 remain understudied. Our aim was to investigate distress, anxiety, and overall mental health and their associated predictors among Pakistani adults in this pandemic. We specifically examine mental health issues based on the distance from the epicenter, (a predictor that has revealed opposing evidence in other countries) based on the theories of typhoon eye effect and ripple effect. The sample consisted of 601 adults who were surveyed online about 2.5 months into the outbreak across Pakistan with varying distances from the epicenter of COVID-19 of Karachi. Results The results showed that 9.2 and 19.0% of the participants surpassed the cut-off criteria for distress and anxiety disorders, respectively. Overall, the distance from the epicenter positively predicted the mental health of adults in Pakistan, and family size negatively moderated this effect. The distance from the epicenter negatively predicted distress and anxiety disorders for adults in large families, which are quite common in Pakistan. Conclusion The evidence of the study interestingly finds that the prediction of the mental health of people by their distance from the epicenter depends on family size. The evidence of this study can help to provide initial indicators for mental health care providers to screen vulnerable groups in Pakistan, a populous country that continues struggling to cope with the COVID-19 pandemic.

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The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework

Studies in Microeconomics ◽

10.1177/2321022220980541 ◽

2021 ◽

pp. 232102222098054

Author(s):

Panayiotis Tzeremes

Keyword(s):

Private Sector ◽

Quantile Regression ◽

House Prices ◽

Ripple Effect ◽

The United Kingdom ◽

Housing Starts ◽

Panel Quantile Regression ◽

Linear Behaviour ◽

Significant Performance ◽

The Uk

This study unfurls the non-linear behaviour of regional house prices in the United Kingdom by employing quarterly observations spanning the period 1992Q1–2017Q4. Our enquiry aims at examining UK house prices within a multivariable framework and, more specifically, by employing panel quantile regression with fixed effect. In brief, the empirical findings obtained from these methodologies indicate that the UK house prices are influenced at lower and upper quantiles, and that precisely they are influenced by variables such as income, private sector housing starts and employment. We highly support that there is a strong heterogeneity among UK regions and that asymmetry may be one of the keys of the ripple effect. Particularly, the income shows a positively significant performance at lower and higher regional house prices. Moreover, the variables private sector housing starts and employment rate are statistically significant for house prices. Leveraging for first-time panel quantile regression for the case of regional house prices in the UK, policymakers will have a profound understanding of regional house prices. JEL Classifications: C22, R21, R31

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Publication by association: how the COVID-19 pandemic has shown relationships between authors and editorial board members in the field of infectious diseases

BMJ evidence-based medicine ◽

10.1136/bmjebm-2021-111670 ◽

2021 ◽

pp. bmjebm-2021-111670

Author(s):

Clara Locher ◽

David Moher ◽

Ioana Alina Cristea ◽

Florian Naudet

Keyword(s):

Infectious Diseases ◽

Evidence Based Medicine ◽

Medical Community ◽

Board Members ◽

Evidence Based ◽

Ripple Effect ◽

New Type ◽

Based Medicine

During the COVID-19 pandemic, the rush to scientific and political judgements on the merits of hydroxychloroquine was fuelled by dubious papers which may have been published because the authors were not independent from the practices of the journals in which they appeared. This example leads us to consider a new type of illegitimate publishing entity, ‘self-promotion journals’ which could be deployed to serve the instrumentalisation of productivity-based metrics, with a ripple effect on decisions about promotion, tenure and grant funding, but also on the quality of manuscripts that are disseminated to the medical community and form the foundation of evidence-based medicine.

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Genome-wide SNP data of Izumo and Makurazaki populations support inner-dual structure model for origin of Yamato people

Journal of Human Genetics ◽

10.1038/s10038-020-00898-3 ◽

2021 ◽

Author(s):

Timothy Jinam ◽

Yosuke Kawai ◽

Yoichiro Kamatani ◽

Shunro Sonoda ◽

Kanro Makisumi ◽

...

Keyword(s):

Phylogenetic Network ◽

Principal Component ◽

Human Populations ◽

Structure Model ◽

Rice Farming ◽

Asian Continent ◽

Dual Structure ◽

Snp Data ◽

Genome Wide ◽

Kagoshima Prefecture

AbstractThe “Dual Structure” model on the formation of the modern Japanese population assumes that the indigenous hunter-gathering population (symbolized as Jomon people) admixed with rice-farming population (symbolized as Yayoi people) who migrated from the Asian continent after the Yayoi period started. The Jomon component remained high both in Ainu and Okinawa people who mainly reside in northern and southern Japan, respectively, while the Yayoi component is higher in the mainland Japanese (Yamato people). The model has been well supported by genetic data, but the Yamato population was mostly represented by people from Tokyo area. We generated new genome-wide SNP data using Japonica Array for 45 individuals in Izumo City of Shimane Prefecture and for 72 individuals in Makurazaki City of Kagoshima Prefecture in Southern Kyushu, and compared these data with those of other human populations in East Asia, including BioBank Japan data. Using principal component analysis, phylogenetic network, and f4 tests, we found that Izumo, Makurazaki, and Tohoku populations are slightly differentiated from Kanto (including Tokyo), Tokai, and Kinki regions. These results suggest the substructure within Mainland Japanese maybe caused by multiple migration events from the Asian continent following the Jomon period, and we propose a modified version of “Dual Structure” model called the “Inner-Dual Structure” model.

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