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Investigating Epidemics like COVID-19: An Analyst's Guide

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Conduct an outbreak investigation

  • Create epidemic curves and draw conclusions about the cause of an outbreak from the shape of the curve and median incubation period

  • Identify disparities and quantify associations between exposures and health outcomes and use findings to inform the public health response

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

There are 4 modules in this course

Do you want to learn how to detect, identify the cause, and decrease the morbidity and mortality from outbreaks or pandemics like COVID-19? Are you considering a career in public health practice, but aren’t sure how health departments collect and use outbreak data?

Are you working in public health, but interested in moving into analytical and/or technical roles or curious how health departments investigate outbreaks? If so, this course is for you. After taking this course you be able to define key terms related to outbreaks and describe how surveillance data are collected and analyzed to detect outbreaks. You will be able to create epidemic curves and draw conclusions about transmission and cause from the shape of the curve and median incubation period. You will be able to describe the steps to investigating outbreaks and use that knowledge to guide an outbreak investigation. Using statistical software or excel, you will be able to identify demographic and geographic disparities and key exposures, and to calculate secondary attack rates. You will be able to quantify associations between health outcomes and key exposures using odds ratios and confidence intervals and to interpret and use findings to inform public health responses.

What's included

1 assignment3 plugins

1 assignmentβ€’Total 5 minutes
  • Introduction to detecting, investigating, and analyzing data from epidemicsβ€’5 minutes
3 pluginsβ€’Total 32 minutes
  • Melissa Marx, PhD, MPHβ€’1 minute
  • Heather Saunders, MPH, RN, CICβ€’1 minute
  • Introduction to detecting, investigating, and analyzing data from epidemicsβ€’30 minutes

What's included

1 assignment3 plugins

1 assignmentβ€’Total 11 minutes
  • Public Health Surveillanceβ€’11 minutes
3 pluginsβ€’Total 90 minutes
  • What is Public Health Surveillance?β€’30 minutes
  • Reportable and Notifiable Disease Reportingβ€’30 minutes
  • Epidemic Curves are Made from Surveillance Dataβ€’30 minutes

What's included

8 videos4 readings5 assignments3 ungraded labs4 plugins

8 videosβ€’Total 132 minutes
  • Trends Activity Introduction Videoβ€’2 minutes
  • Trends R Activity Walkthrough (Optional)β€’16 minutes
  • Trends Excel Activity Walkthrough (Optional)β€’22 minutes
  • Disparities R Activity Walkthrough (Optional)β€’33 minutes
  • Disparities Excel Activity Walkthrough (Optional)β€’33 minutes
  • Disparities Excel Extra Help (Optional)β€’3 minutes
  • Spatial R Activity Walkthrough (Optional)β€’14 minutes
  • Spatial Excel Activity Walkthrough (Optional)β€’8 minutes
4 readingsβ€’Total 32 minutes
  • Lab Activities in R or Excelβ€’10 minutes
  • Introductionβ€’10 minutes
  • More About Lab Activitiesβ€’10 minutes
  • Disparities Lab Activityβ€’2 minutes
5 assignmentsβ€’Total 42 minutes
  • Trends Lab Activityβ€’15 minutes
  • Outbreak investigation: an overviewβ€’5 minutes
  • How the data analyst detects an outbreakβ€’5 minutes
  • Disparities Activityβ€’15 minutes
  • Spatial Disparities Lab Activityβ€’2 minutes
3 ungraded labsβ€’Total 90 minutes
  • Trends Lab Activityβ€’30 minutes
  • Disparities Lab Activityβ€’30 minutes
  • Spatial Lab Activityβ€’30 minutes
4 pluginsβ€’Total 120 minutes
  • Outbreak Investigation: An Overviewβ€’30 minutes
  • How the data analyst detects an outbreakβ€’30 minutes
  • More ways to describe your surveillance and outbreak dataβ€’30 minutes
  • Identifying and presenting geographic disparities during outbreaks and pandemicsβ€’30 minutes

What's included

2 videos2 readings2 assignments1 ungraded lab1 plugin

2 videosβ€’Total 59 minutes
  • Outbreak Analysis and Display R Activity Walkthrough (Optional)β€’27 minutes
  • Outbreak Analysis and Display Excel Activity Walkthrough (Optional)β€’33 minutes
2 readingsβ€’Total 12 minutes
  • Outbreak Analysis and Display Activityβ€’10 minutes
  • Closing Thoughts β€’2 minutes
2 assignmentsβ€’Total 50 minutes
  • Detecting and investigating COVID-19 in an Assisted Living Facility: the scenarioβ€’20 minutes
  • Outbreak Analysis and Display Activityβ€’30 minutes
1 ungraded labβ€’Total 60 minutes
  • Outbreak Analysis and Display Activityβ€’60 minutes
1 pluginβ€’Total 30 minutes
  • Detecting and investigating COVID-19 in an Assisted Living Facility: the scenarioβ€’30 minutes

Instructors

Johns Hopkins University
1 Courseβ€’924 learners

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