Results 31 to 40 of about 1,626,021 (272)
Anxiety among healthcare workers during the COVID-19 pandemic: a longitudinal study
BackgroundDuring the COVID-19 pandemic, many healthcare workers faced extreme working conditions and were at higher risk of infection with the coronavirus.
Esmee Bosma+22 more
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Understanding the impact of fertility history on health outcomes in later life.
Objectives Aims of this research, involving data linkage and health outcomes, is to gain a full understanding of the impact of both fertility histories and childlessness on health outcomes mid-life accounting for socio-economic background and area of ...
Lee Williamson, Chris Dibben
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Criminology has been hampered by a lack of longitudinal data to examine the consequences of victimisation. However, recently, ‘Understanding Society’, the United Kingdom Household Panel Survey (UKHLS), began fielding a small battery of questions relating
Niels Blom, Vanessa Gash
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Objective and Approach The Canadian Longitudinal Study on Aging (CLSA) is the largest national longitudinal cohort study, following ~50,000 adults across 10 provinces for at least 20 years. Health Data Research Network (HDRN) Canada is a distributed pan-
Anne Hayes+25 more
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Influence of User Preferences on the Revealed Utility Factor of Plug-In Hybrid Electric Vehicles
Plug-in hybrid electric vehicles (PHEVs) are an effective intermediate vehicle technology option in the long-term transition pathway towards light-duty vehicle electrification.
Seshadri Srinivasa Raghavan, Gil Tal
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Signal Detection and Monitoring Based on Longitudinal Healthcare Data
Post-marketing detection and surveillance of potential safety hazards are crucial tasks in pharmacovigilance. To uncover such safety risks, a wide set of techniques has been developed for spontaneous reporting data and, more recently, for longitudinal ...
Iris Pigeot, Marc Suling
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Longitudinal data clustering methods: A Systematic Review
In the last few decades, in many research fields, different methods were introduced to discover groups with the same trends in longitudinal data. The clustering process is an unsupervised learning method, which classifies longitudinal data based on ...
Arefeh Dehghani tafti+3 more
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Learning loss and learning inequality during the Covid-19 pandemic
This paper evaluates the effects of school closure during the Covid-19 pandemic on learning loss and learning inequalities in Rio de Janeiro. It presents longitudinal data for 671 children (5/6 years old) enrolled in the second year of preschool ...
Tiago Lisboa Bartholo+2 more
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Geographic variation in walking activity in the red flour beetle Tribolium castaneum
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley +1 more source
The purpose of this study was to estimate sex differences in age-related grip strength decline and describe the course of decline in grip strength from age 40 to 89 years by a longitudinal epidemiological study.
Rumi Kozakai+5 more
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