11. A Ripple Effect | ScienceGate

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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Ripple Effect: Communicating Water Quality Data through Sonic Vibrations

Creativity and Cognition ◽

10.1145/3450741.3464947 ◽

2021 ◽

Author(s):

Dorsey B. Kaufmann ◽

Nima Hamidi ◽

Kunal Palawat ◽

Monica Ramirez-Andreotta

Keyword(s):

Water Quality ◽

Quality Data ◽

Ripple Effect ◽

Water Quality Data

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Impact of Social Ripple Effect and Virtual Wellness Programme on Sustainability of Self-development Amongst Middle-Aged Individuals

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) ◽

10.1109/iccike51210.2021.9410731 ◽

2021 ◽

Author(s):

Fathima Linsha Basheer ◽

Amina Nahdhiya ◽

Sonakshi Ruhela

Keyword(s):

Ripple Effect ◽

Middle Aged ◽

Self Development

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Caring for Older Patients With Cancer: Estimates of the Prevalence, Burden, and Unmet Needs of Caregivers in the United States

Innovation in Aging ◽

10.1093/geroni/igaa057.2412 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 690-690

Author(s):

Erin Kent

Keyword(s):

Family Caregivers ◽

Older Patients ◽

Unmet Needs ◽

The United States ◽

Population Based ◽

Data Sources ◽

Behavioral Risk ◽

Ripple Effect ◽

The Us ◽

National Trends

Abstract In 2020, ~1.8 million Americans are expected to be newly diagnosed with cancer, with approximately 70% of cases diagnosed over the age of 65. Cancer can have a ripple effect, impacting not just patients themselves, but their family caregivers. This presentation will provide an overview of the estimates of the number of family caregivers caring for individuals with cancer in the US, focusing on older patients, from several population-based data sources: Caregiving in the US 2020, the Health Information National Trends Survey (HINTS, 2017-2019), the Behavioral Risk Factors Surveillance System (BRFSS, 2015-2019), and the National Health and Aging Trends (NHATS) Survey. The presentation will compare features of the data sources to give a comprehensive picture of the state of cancer caregiving. In addition, the presentation will highlight what is known about the experiences of cancer caregivers, including caregiving characteristics, burden, unmet needs, and ideas for improving support for family caregivers.

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