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| http://dx.doi.org/10.3389/fdgth.2023.1293921 | DOI Listing |
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Predicting herd immunity achievement: a time-series analysis of vaccination and fatality rates using 1,075 days of COVID-19 data.
Front Public Health
October 2024
School of Nursing, Tung Wah College, Ho Man Tin, Hong Kong SAR, China.
Introduction: The COVID-19 pandemic, driven by SARS-CoV-2, has made vaccination a critical strategy for global control. However, vaccine hesitancy, particularly among certain age groups, remains a significant barrier to achieving herd immunity.
Methods: This study uses Poisson regression and ARIMA time-series modeling to identify factors contributing to vaccine hesitancy, understand age-specific vaccination preferences, and assess the impact of bivalent vaccines on reducing hesitancy and fatality rates.
Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things-Based Thermostat Data and Google Mobility Insights.
JMIR Public Health Surveill
March 2024
School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
Background: The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies.
View Article and Find Full Text PDFPsychological disorders due to the pandemic-driven industrial recession: Cultural context is crucial.
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Department of Medicine, School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
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J Comput High Educ
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HKCT Institute of Higher Education, Ma On Shan, New Territories, Hong Kong China.
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