Studyportals
Short Course Online

Introduction to Outbreaks Analytics using R

London School of Hygiene and Tropical Medicine

5 days
Duration
1250 GBP/full
1250 GBP/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
Passed
Unknown
Start date

About

This Introduction to Outbreaks Analytics using R course from London School of Hygiene and Tropical Medicine will provide the students with an in-depth, practical introduction to outbreak analytics, a new data science dedicated to informing the response to epidemics in real time.

Overview

Essential aspects of the analysis of outbreak data will be covered, including fundamental principles of statistics, good coding practices, scientific reproducibility and report automation, estimation of key epidemiological delays, mortality and transmissibility, short term forecasting, and the analysis of genetic data to reconstruct transmission trees.

All teaching will be done online, and involve a mixture of lectures, group discussions, and hands-on practical sessions using the R software. Worked examples will be based on direct experience of outbreak responses, including the Ebola epidemic in Eastern Democratic Republic of the Congo (2018 - 2020), and the response to COVID-19 in the UK. Lectures will be recorded and made available online to participants.

Methods of assessment

Students will not be formally assessed. The course will be assessed using anonymous online forms, circulated.

Programme Structure

Day 1

  • General introduction to the course
  • Lecture: on the emergence of outbreak analytics and its role in outbreak response
  • Group discussion: what are the key questions in early outbreak responses?
  • Practical: setting up R, Rstudio, using the RECON deployer
  • Lecture/practical: introduction to data handling and visualisation using dplyr and ggplot2
  • Lecture: principles of reproducible data science
  • Practical: reproducibility using R

Day 2

  • Lecture: a primer on key statistical concepts for outbreak response
  • Lecture: descriptive epidemiology; epidemic curves; estimating mortality; characterising delay distributions; analysing contact data
  • Practical: simulated Ebola outbreak response – data handling and visualisation

Day 3

  • Lecture: primer on infectious disease modelling; estimating transmissibility (reproduction numbers, growth rates, doubling time); short term forecasting
  • Practical: simulated Ebola outbreak response - transmissibility and forecasting; real-life application to publicly available COVID-19 data

Day 4

  • Lecture: primer on genetic data analysis for outbreak response
  • Lecture: reconstructing transmission trees using epidemiological and genetic data
  • Practical: simulated Ebola outbreak response – inferring who infected whom

Day 5

  • Lecture: advanced tools for reproducible data science
  • Practical: open data session, build-your-own automated reporting infrastructure

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

Language

English

Delivered

Online
  • Fully structured

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This course is open to field epidemiologists, public health practitioners, data managers, statisticians, computer scientists, data scientists, modellers with an interest in infectious disease outbreak response.

Tuition Fee

To alway see correct tuition fees
  • International

    1250 GBP/full
    Tuition Fee
    Based on the tuition of 1250 GBP for the full programme during 5 days.
  • EU/EEA

    1250 GBP/full
    Tuition Fee
    Based on the tuition of 1250 GBP for the full programme during 5 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Introduction to Outbreaks Analytics using R
-
London School of Hygiene and Tropical Medicine

Wishlist

Go to your profile page to get personalised recommendations!