NADrPH Bingo

This bingo card has 1 images, a free space and 125 words: Prevalence = Existing Cases ÷ Population × 100, Incidence = New Cases ÷ Population at Risk, Risk Ratio = Risk in Exposed ÷ Risk in Unexposed, Odds Ratio = ad ÷ bc, Sensitivity = TP ÷ (TP + FN), Specificity = TN ÷ (TN + FP), PPV = TP ÷ (TP + FP), NPV = TN ÷ (TN + FN), Attributable Risk = Risk Exposed − Risk Unexposed, Case Fatality Rate = Deaths Among Cases ÷ Total Cases, SELECT * FROM patients;, SELECT COUNT(*) FROM visits;, SELECT DISTINCT patient_id FROM encounters;, WHERE diagnosis = 'HIV', GROUP BY facility, ORDER BY visit_date DESC, COUNT(DISTINCT patient_id), LEFT JOIN, INNER JOIN, CASE WHEN age < 18 THEN 'Youth' END, What does CDC stand for?, What does HIPAA stand for?, What does IRB stand for?, What does SDOH stand for?, What does QI stand for?, What does GIS stand for?, What does EHR stand for?, What does PRISMA stand for?, What does R0 represent?, What is the denominator?, True or False: Correlation proves causation, True or False: Incidence measures new cases, True or False: Prevalence includes existing cases, True or False: A p-value tells you effect size, True or False: Missing data can introduce bias, Name one social determinant of health, Name one infectious disease, Name one chronic disease, Name one environmental health issue, Name one maternal health indicator, Name one behavioral health intervention, Name one health equity measure, Name one public health surveillance system, Name one data visualization tool, Name one statistical software package, R, Python, SAS, SPSS, SQL, Tableau, Power BI, ArcGIS, REDCap, Excel, Has written a grant, Has managed a budget, Has presented at a conference, Has published research, Has taught a course, Has supervised staff, Has worked in government, Has worked in academia, Has worked in healthcare, Has worked in a nonprofit, Has conducted program evaluation, Has conducted qualitative research, Has conducted quantitative research, Has conducted mixed-methods research, Has built a dashboard, Has cleaned a messy dataset, Has created a survey, Has conducted a needs assessment, Has worked on policy, Has worked with community partners, Has responded to an emergency, Has worked on an outbreak, Has worked in maternal and child health, Has worked in environmental health, Has worked in behavioral health, Has worked in infectious disease, Has worked in chronic disease, Has worked in health administration, Has worked in health informatics, Has worked in health education, Has used AI for public health, Has used ChatGPT for work, Has debugged code, Has accidentally broken code that was working, Has named a file FINAL_FINAL, Has received data with no data dictionary, Has questioned where a number came from, Has had an urgent data request, Has worked with incomplete data, Has created a workaround that became permanent, Which measure is best for a new outbreak: incidence or prevalence?, Which study design starts with exposure?, Which study design starts with disease status?, What does a confidence interval tell you?, What is confounding?, What is selection bias?, What is recall bias?, What is a cohort study?, What is a case-control study?, What is a cross-sectional study?, Name a DrPH concentration, Name a public health competency, Name a public health leadership skill, Name one implementation science framework, Name one evaluation model, Name one health behavior theory, Name one emergency preparedness framework, Name one community engagement strategy, Name one quality improvement method, Name one way to communicate data to the public, Has explained what a DrPH is, Has been asked if a DrPH is the same as a PhD, Has been mistaken for a physician, Has used the phrase “It depends”, Has said “What does the data show?”, Has said “We need more data”, Has said “We need better data”, Has said “This meeting could have been an email”, Has talked while muted on Zoom and Has attended a meeting while eating lunch```.

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