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Direct linkJoshua, Surani; Drimalla, James; Horne, Dru; Lavender, Heather; Yon, Alexandra; Byerley, Cameron; Yoon, Hyunkyoung; Moore, Kevin – Mathematics Teacher: Learning and Teaching PK-12, 2022
To facilitate people using mathematical reasoning to compare risks associated with the COVID-19 pandemic, the National Science Foundation (NSF) funded the COViD-TASER (Creation of Visualizations of Data: The Application of STEM Education Research) research team to create the COVID-19 Relative Risk Tool (RRT). The RRT uses an interactive bar chart…
Descriptors: Mathematics Instruction, Mathematical Logic, Risk, COVID-19
Download full textMelissa R. Dvorsky; Rosanna Breaux; Joshua M. Langberg; Stephen P. Becker – Grantee Submission, 2022
Identifying factors that influence adolescent intentions for COVID-19 vaccination is essential for developing strategic interventions to increase uptake, particularly in subgroups of at-risk adolescents. Attention-deficit/hyperactivity disorder (ADHD) in adolescence is characterized by difficulties regulating attention and behavior, social…
Descriptors: Attention Deficit Hyperactivity Disorder, COVID-19, Pandemics, Immunization Programs
Harper, Christopher R.; Liddon, Nicole; Dunville, Richard; Habel, Melissa A. – Journal of School Nursing, 2016
Access to school health clinics and nurses has been linked with improved student achievement and health. Unfortunately, no studies have examined how many students report using school clinics or nurses and for which services. This study addressed this gap with data from a nationally representative sample of 15- to 25-year-olds. Respondents who…
Descriptors: High School Students, Student Attitudes, Clinics, School Nurses
Lai, Ching-Yi; Wu, Wei-Wen; Tsai, Shao-Yu; Cheng, Su-Fen; Lin, Kuan-Chia; Liang, Shu-Yuan – Health Education & Behavior, 2015
Background: Lack of education is a known barrier to vaccination, but data on the design and effectiveness of interventions remain limited. Objective: This study aims to identify the effectiveness of a Facebook-assisted teaching method on female adolescents' knowledge and attitudes about cervical cancer prevention and on their human papillomavirus…
Descriptors: Cancer, Prevention, Immunization Programs, Control Groups
Bass, Sarah B.; Leader, Amy; Shwarz, Michelle; Greener, Judith; Patterson, Freda – Journal of School Health, 2015
Background: Little is known about the correlates of human papillomavirus (HPV) vaccination or willingness to be vaccinated in urban, minority adolescents. Methods: Using responses to the 2013 Youth Risk Behavior Survey in Philadelphia, a random sample of high schools provided weighted data representing 20,941 9th to 12th graders. Stratified by…
Descriptors: Immunization Programs, Sexually Transmitted Diseases, Low Income Groups, Minority Group Students
Centers for Disease Control and Prevention, 2011
The "Morbidity and Mortality Weekly Report" ("MMWR") Series is prepared by the Centers for Disease Control and Prevention (CDC). Data presented by the Notifiable Disease Data Team and 122 Cities Mortality Data Team in the weekly "MMWR" are provisional, based on weekly reports to CDC by state health departments. This issue of "Morbidity and…
Descriptors: High School Students, Physical Activity Level, Immunization Programs, Disease Control
Painter, Julia E.; Sales, Jessica M.; Pazol, Karen; Wingood, Gina M.; Windle, Michael; Orenstein, Walter A.; Diclemente, Ralph J. – Health Education Research, 2010
The Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices recently expanded annual influenza vaccination recommendations to include all children 6 months through 18 years of age. Adolescent attitudes toward influenza vaccination may play a key role in reaching this newly added age group. This study examined the…
Descriptors: Disease Control, Age, Advisory Committees, Immunization Programs
Romine, William – ProQuest LLC, 2011
Assessments of knowledge and perceptions about influenza were developed for high school students, and used to determine how knowledge, perceptions, and demographic variables relate to students taking precautions and their odds of getting sick. Assessments were piloted with 205 students and validated using the Rasch model. Data were then collected…
Descriptors: Communicable Diseases, High School Students, Knowledge Level, Attitude Measures
