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Course content
Sections:
1
•
Activities:
0
•
Resources:
36
- Epidemiology the backbone of public health
- Relative risk and risk ratios
- The Next Pandemic - How bad might things get How should we prepare
- How to write a literature review
- Outbreaks - investigation and control
- Pandemics - a worrying global public health threat
- Sensitivity and specificity - explained in 3 minutes
- Causality. Why you shouldn't use Bradford Hill criteria!
- Epidemiological transition
- R0 and vaccine coverage. How to use a COVID-19 vaccine to get to herd immunity and beat Coronavirus
- How to create an epidemic curve
- Know how to interpret an epidemic curv
- Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more
- Cohort and Case Control Studies
- Research Methods - Introduction
- Randomized Control Trials and Confounding
- How to write a scientific paper
- R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
- Contact Tracing as a Public Health tool to end lockdown during the COVID-19 (coronavirus) pandemic
- Qualitative research methods
- Understanding missing data and missing values. 5 ways to deal with missing data using R programming
- Hypothesis testing
- Data Visualization
- Systematic Literature Review and Meta Analysis
- Public Health Surveillance
- Science Communication
- Risk, Rate and Odds
- Incidence and Prevalence
- Case control and cohort studies
- Screening papers when doing a literature review
- Avian Influenza - what you need to know about H5N1 and the risk of pandemic bird flu
- Sample size and study power
- Infectious disease epidemiology and transmission dynamics (how infections spread)
- Epidemiological Studies - cheat sheet
- Statistics - cheat sheet - an easy reference to the t test, chi-squared tests, ANOVA and more
- Statistics in 10 minutes. Hypothesis testing, the p value, t-test, chi squared, ANOVA and more