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Direct linkStanford Chihuri; Ashley Blanchard; Carolyn G. DiGuiseppi; Guohua Li – Journal of Autism and Developmental Disorders, 2024
The reported prevalence of autism spectrum disorder (ASD) has more than tripled in the past two decades in the United States, due in part to improved screening and diagnostic techniques. Epidemiologic data on ASD, however, are largely limited to population-based surveillance systems. We examined epidemiologic patterns in ASD diagnoses among…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Children, Epidemiology
Download full textPendred Noyce; Laura Martin; Jacob Sagrans; Jan Mokros – Afterschool Matters, 2025
Quickly disseminating an innovative, timely afterschool program raises challenges, from recruitment and professional development to assessment, program fidelity, and quality. In this paper, we describe our experience as project developers, trainers, and researchers working with an afterschool network, Imagine Science, to disseminate a middle…
Descriptors: After School Programs, STEM Education, Middle School Students, Clubs
Benjamin Rohr; John Levi Martin – Sociological Methods & Research, 2024
It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize…
Descriptors: Social Science Research, Population Distribution, Ecology, Demography
Matthew Myers Griffith; Barbara Pamphilon – International Journal of Lifelong Education, 2024
This article explores the first field epidemiology training programme (FETP) through a case study to understand its approach to learning and education. Field epidemiologists deploy to outbreaks to investigate, control, and prevent future epidemics and pandemics. Since the 1950s, they have learned their trade through FETP. FETP arose at a…
Descriptors: Adult Education, Adult Learning, Public Health, Epidemiology
Yasushi Tsujimoto; Yusuke Tsutsumi; Yuki Kataoka; Akihiro Shiroshita; Orestis Efthimiou; Toshi A. Furukawa – Research Synthesis Methods, 2024
Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…
Descriptors: Meta Analysis, Literature Reviews, Epidemiology, Error Correction
Silja H. Overgaard; Caroline M. Moos; John P. A. Ioannidis; George Luta; Johannes I. Berg; Sabrina M. Nielsen; Vibeke Andersen; Robin Christensen – Research Synthesis Methods, 2024
The objective of this meta-epidemiological study was to explore the impact of attrition rates on treatment effect estimates in randomised trials of chronic inflammatory diseases (CID) treated with biological and targeted synthetic disease-modifying drugs. We sampled trials from Cochrane reviews. Attrition rates and primary endpoint results were…
Descriptors: Epidemiology, Attrition (Research Studies), Chronic Illness, Program Effectiveness
Oscar W. H. Wong; Sandra S. M. Chan; Steven W. H. Chau; Winnie C. W. Chu; Carol S. W. Ho; Stephy W. S. Ho; Se Fong Hung; Samara Hussain; Kelly Y. C. Lai; Angela M. W. Lam; Holly H. L. Lo; Karen K. Y. Ma; Suk Ling Ma; Flora Y. M. Mo; Pak Chung Sham; Caroline K. S. Shea; Suzanne H. W. So; Kelvin K. F. Tsoi; Patrick W. L. Leung – Autism: The International Journal of Research and Practice, 2025
Epidemiological studies on autism lack representation from Asia. We estimated the prevalence of autism among children and youths in Hong Kong using a two-stage approach. In addition, we evaluated the psychometric properties of the screening instrument and explored sex differences within an epidemiological context. A random school-based sample of…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Epidemiology, Children
Cheng-Hsien Huang; Lee-Chin Wong; Yen-Ju Chu; Chia-Jui Hsu; Hsin-Pei Wang; Wen-Che Tsai; Wang-Tso Lee – Autism: The International Journal of Research and Practice, 2024
Sleep problems are prevalent among individuals with Rett syndrome. We aimed to investigate sleep problems in individuals with Rett syndrome and their caregivers. A total of 29 participants diagnosed with Rett syndrome and their respective 29 caregivers were included. The Children Sleep Habits Questionnaire (CSHQ), the Pittsburgh Sleep Quality…
Descriptors: Sleep, Genetic Disorders, Neurological Impairments, Caregivers
Nejstgaard, Camilla Hansen; Laursen, David Ruben Teindl; Lundh, Andreas; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2023
We investigated to which degree commercial funding is associated with estimated intervention effects in randomized trials. We included meta-epidemiological studies with published data on the association between commercial funding and results or conclusions of randomized trials. We searched five databases and other sources. We selected one result…
Descriptors: Private Financial Support, Intervention, Randomized Controlled Trials, Literature Reviews
Wayne Journell – Journal of Education, 2025
This study focuses on how four U.S. History textbooks portrayed the COVID-19 pandemic as a recent historical event. The findings from the study suggest that the textbooks provided a disjointed narrative that did not fully explain aspects of the pandemic, such as why COVID-19 caused so much societal upheaval. The textbooks also often dodged…
Descriptors: History Instruction, Textbooks, Critical Thinking, COVID-19
Hairui Yu; Suzanne E. Perumean-Chaney; Kathryn A. Kaiser – Journal of Statistics and Data Science Education, 2024
Missing data can significantly influence results of epidemiological studies. The National Health and Nutrition Examination Survey (NHANES) is a popular epidemiological dataset. We examined recent practices related to the prevalence and the reporting of the amount of missing data, the underlying mechanisms, and the methods used for handling missing…
Descriptors: Statistics Education, Data Science, Data Use, Research Problems
Christopher M. Seitz; Jeffrey L. Lennon; Muhsin Michael Orsini; Lauren Elliot; Margaret Lloyd; Fin Findley – Discover Education, 2024
Purpose: This study explored undergraduate college students' opinions of the CDC's online "Solve the Outbreak" (StO) game, a recommended aid in higher education for teaching concepts epidemiological outbreak investigations. Methods: The study was conducted as a game debriefing, in which 16 students enrolled in an undergraduate-level…
Descriptors: Undergraduate Students, Student Attitudes, Epidemiology, Games
Mauricio A. Lopez-Espejo; Alicia C. Nuñez; Valentina Saez; Melanie Ruz; Odalie C. Moscoso; Alejandra Vives – Journal of Autism and Developmental Disorders, 2025
We investigated the influence of developmental and social factors on the age of autism diagnosis (AoD) in a cohort of toddlers living in Chile. A cross-sectional study was conducted among 509 preschool children diagnosed with autism spectrum disorder [M = 40.2 months (SD = 8.6), girls: 32%] in the neurodevelopmental unit of a university clinic in…
Descriptors: Autism Spectrum Disorders, Clinical Diagnosis, Preschool Children, Foreign Countries
Dey, Michelle; Marti, Laurent; Helbling, Laura Alexandra; Jorm, Anthony Francis – International Journal of Social Research Methodology, 2022
Response rates in epidemiological studies have generally been decreasing over the past decades. However, when the target group consists of adolescents and young adults, school-based surveys have hitherto been able to mitigate this problem: This age group can be reached relatively easy in the school context (e.g., as compared to reaching them by…
Descriptors: Response Rates (Questionnaires), Student Surveys, Epidemiology, Predictor Variables
Shophika Vaithyanathasarma; France Caron; Geneviève Bistodeau-Gagnon; Jacques Bélair – International Journal of Mathematical Education in Science and Technology, 2024
The emergence of COVID-19 favoured the development at Université de Montréal of an educational initiative aimed at promoting modelling and simulation in teaching and learning postsecondary mathematics. In our learning activities, modelling is not reduced to curve fitting; software is used and questions are asked to get a deeper understanding of…
Descriptors: Foreign Countries, Mathematical Models, COVID-19, Pandemics
