Clinic Schedule
This is an archived version of the schedule from the MMED 2017 clinic. Some links may not work at this time.
The MMED 2017 program includes a number of parallel sessions for participants with different backgrounds. Track A is designed for those with a mathematical background, particularly those who have extensive training and/or experience with differential equation models of infectious disease dynamics. Track B is designed for those with a background in epidemiology and/or statistics, particularly those who are involved in data collection for infectious disease systems.
Sunday, 28 May
- 17:00 – 18:00 Registration and welcome, AIMS lobby
- 18:00 – 18:30 Dinner, AIMS Dining Hall
Monday, 29 May
- 8:00 – 8:25 Registration and welcome, AIMS lobby
- If you have a laptop, please see Jan in the IT office (Room 110) during registration to get set up with wifi access.
- Please gather in the main lecture hall by 8:30.
- 8:30 – 9:00 Welcome and Motivation for Workshop (Green, Pulliam, and Hargrove)
- 9:00 – 10:00 Lecture: Public Health, Epidemiology, and Models (Scott) - Slides
- 10:00 – 10:30 Coffee break
- 10:30 – 10:45 Organizational session: MMED Road Map and programme overview (Pulliam)
- 10:45 – 11:30 Lecture: Introduction to Thinking About Data I (Hargrove) - Slides
- 11:30 – 12:30 Lecture: Introduction to dynamic modeling of infectious diseases (Bellan) - Slides
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- If you still need wifi access, please see Jan in the IT office (Room 110) between 13:30 and 14:00 to get this set up.
- If you plan to use your laptop for the 15:00 computer exercise, Cari and Juliet will help you get set up at 12:30 in the main lecture hall.
- 14:00 – 15:00 Parallel sessions
- 15:00 – 15:30 Exercise and discussion: Dynamical Fever and Model Worlds (in pairs) and discussion (Moderator: van Schalkwyk)
- 15:30 – 16:00 Tea and poster set-up
- 16:00 – 16:50 Exercise and discussion: Dynamical Fever and Model Worlds (in pairs) and discussion (Moderator: van Schalkwyk)
- 16:50 – 17:00 Discussion: Dynamical Fever and Model Worlds (Pulliam) - Slides
- 17:00 – 18:00 Poster session I
- 18:00 – 18:30 Dinner
- 19:00 – 19:30 Social Activity: Ice breakers
- 19:30 – 20:30 Social Activity: Card games: Bullsh!t and Casino
Tuesday, 30 May
- 8:30 – 9:15 Lecture: (Hidden) assumptions of simple ODE models (Pulliam) - Slides
- 9:15 – 10:00 Lecture: Introduction to model implementation (Dushoff) - Live coding example
- 10:00 – 10:30 Coffee break
- 10:30 – 12:30 Computer Session: R Tutorials - Lab 1: ODE models in R (with
Dushoff, Gershom, Green, Ngonghala,
Pulliam); MedPH break-out group (Borchering,
Mthombothi)
- All R tutorials and labs are linked from this page
- You should have completed R Tutorials I-III prior to the Clinic. If you have not previously used R, we suggest you review these tutorials during this session, as the material they cover form the foundation for the computer sessions throughout the workshop. Please use this opportunity to ask any questions you may have regarding the material in these tutorials.
- When you have completed Lab 1 (required), you may take a break or move on to Tutorial 4: Visualizing Infectious Disease Data in R (recommended)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 14:45 Parallel sessions (Note: for this session only, Track A participants may attend the
Track B session.)
- Track A: Lecture: Introduction to Thinking About Data II (Scott) - Slides
- Track B: Lecture: Basic stochastic simulation models (Borchering) - Slides
- 14:45 – 15:30 Parallel sessions
- Track A: Computer Session: R Tutorials - Lab 1: ODE models in R (as needed), and Tutorial 4: Visualizing Infectious Disease Data in R (with Bellan, Gershom, Mthombothi, Scott, van Schalkwyk)
- Track B: Computer Session: R Tutorials - Lab 1: ODE models in R (as needed), and Lab 2A: Basic stochastic simulation models (with Borchering, Dushoff, Green, Kassanjee)
- Lab 2A Summary (Borchering) - Slides
- 15:30 – 16:00 Tea and poster set-up
- 16:00 – 16:50 Computer Session: R Tutorials continued (Green, Mthombothi, Ngognghala, Scott) & Mentoring session (from 15:45)
- 16:50 – 17:00 Discussion:
- 17:00 – 18:00 Poster session II
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 Real-world example (optional lecture): Research Talks (Sheetal Silal, Reshma Kassanjee)
Wednesday, 31 May
- 8:30 – 9:15 Lecture: Consequences of heterogeneity, and modeling options (Dushoff) - Slides - Handouts
- 9:15 – 10:15 Computer Session: R Tutorials - Lab 2: Consequences of heterogeneity (with Bellan, Borchering, Dushoff, Gershom, Mthombothi) - Summary (Gershom) - Slides
- 10:15 – 10:30 Coffee break
- 10:30 – 10:45 Sunshine break
- 10:45 – 11:00 Lecture: Introduction to models and data: HIV in Harare (Hargrove)
- 11:00 – 12:30 Computer Session: Harare data in groups of <4 (with Hargrove,
Gershom, Green, Mthombothi,
Pulliam, Williams)
- You will need the most recent version of the ICI3D R package for this tutorial. If you are using your
laptop for the tutorials, please update the package before you begin by running the command
devtools::install_github('ICI3D/ici3d-pkg')
in R studio. - To run the tutorial, first load the ICI3D R package (
require('ICI3D')
), then load the tutorial (hivTutorial()
). - If you finish all five versions of the model for the Harare data before lunch, move on to working on data from other countries.
- Additional info: Distributed Delay Models of Survival (Boxcar Models) - Slides
- You will need the most recent version of the ICI3D R package for this tutorial. If you are using your
laptop for the tutorials, please update the package before you begin by running the command
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- Please fill in the weekend activities form! (Due by 15:30 on Wed 31 May.).
- 14:00 – 14:30 Computer Session: Harare/other data in same groups. (with Borchering, Green, Gershom, Ngonghala, van Schalkwyk)
- 14:30 – 15:30 Discussion: Harare data and spreadsheet work (Hargrove) - Slides
- 15:30 – 16:00 Tea and poster set-up
- 16:00 – 17:00 Parallel sessions
- Track A: Formulating Research Questions A (van Schalkwyk)
- Track B: Formulating Research Questions B (Borchering)
- 17:00 – 18:00 Poster session III
- 18:00 – 18:30 Dinner
- 19:30 – 21:00 Social activity: Drumming
Thursday, 1 June
- 8:30 – 10:00 Parallel sessions
- Track A: Lecture and Computer Session: Study Design and Analysis in Epidemiology: Where does modeling fit? (Scott) - Slides - and R Tutorials - Lab 3: Study Design in Epidemiology (with Bellan, Gershom, Mthombothi, Scott, van Schalkwyk)
- Lab 3 Summary (Scott) - Slides to be added
- Track B: Exercise: Creating a model world to address a research question (Pulliam) - Slides, Assignment and examples
- 10:00 – 10:30 Coffee break
- 10:30 – 12:00 Lecture: Introduction to statistical philosophy (Dushoff) - Slides
- 12:00 – 12:30 Discussion: MMED research projects (van Schalkwyk)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 15:30 Lecture: Participatory coding of a dynamical model (Bellan, with Pulliam) Code on Tutorials page
- 15:30 – 16:00 Tea
- 16:00 – 16:45 Lecture: Introduction to Likelihood (Bellan) - Slides
- 16:45 – 18:00 Computer Session: R Tutorials - Lab 5: Introduction to Likelihood Lab (with Bellan, Gershom, Green, Ngonghala, van Schalkwyk)
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 Real-world example (optional lecture): Research Talk (Sourya Shrestha)
Friday, 2 June
- 8:30 – 10:00 Parallel sessions
- Track A: Lecture and Computer Session: Study Design and Analysis in Epidemiology II:
RCT’s (Scott) - Slides - R
Tutorials - Lab 4: Study Design for Clinical Trials (with Bellan,
Gershom, Mthombothi, Scott, van
Schalkwyk)
- Dataset for Lab 4
- Lab 4 Summary (van Schalkwyk) - Slides to be added
- Track B: Exercise: Description of proposed model and assumptions (Pulliam)
- 10:00 – 10:30 Coffee break
- 10:30 – 11:15 Lecture: Likelihood fitting and dynamic models, Part 1: Dynamic Model Fitting and Inference Robustness (Pulliam) - Slides
- 11:15 - 12:30 Computer Session: Lab: MLE fitting of an SIR model to prevalence data (with
Bellan, Borchering, Green,
Mthombothi, Pulliam)
- Additional info: Parameter transformation - Slides
- Lab Summary (Mthombothi) - Slides to be added
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- Please fill in this form to indicate what you will work on during the tutorial catch-up session on Saturday.
- 14:00 – 15:30 Mentor presentations (Buri Gershom, Kathleen Green, Zinhle Mthombothi; Moderator: Dushoff)
- 15:30 – 16:00 Tea
- 16:00 – 17:00 MMED Projects (Moderator: Dushoff)
- Project group sign-up will be available after this session
- 17:00 – 18:00 Mid-session Feedback (Moderator: Hitchcock)
- 18:00 – 18:30 Dinner
- 19:30 – 21:30 Social Activity: Movie night (Perfect Sense)
Saturday, 3 June
- 9:00 – 9:45 Lecture: A decision tree for vaccine trial design during public health emergencies (work in progress from the WHO Blueprint for Research & Development) (Bellan) - Slides
- 9:45 – 10:30 Computer Session: Tutorial catch-up, as needed (with Dushoff, Gershom, Green, Ngonghala, Scott)
- 10:30 – 11:00 A good chance to sign up for project groups and Coffee break
- 11:00 – 12:30 Lecture: Participatory coding for Variability, Sampling Distributions, and Simulation Lecture (Bellan) - Code on Tutorials page
- 12:30 – 14:00 Social Activity: Group lunch at Kalky’s
- 14:00 – Free/working afternoon
Sunday, 4 June
- Free day – optional group trip to Cape Point
- We will leave at 10:00. Please meet in the AIMS lobby by 9:55.
Monday, 5 June
- 8:30 – 9:15 Lecture: Doing Science (Williams) - Slides
- 9:15 – 9:30 Organizational Session: Schedule and goals for the second week (Pulliam)
- 9:30 – 10:00 Work Session: Project groups meet for the first time (All instructors)
- 10:00 – 10:30 Coffee break
- 10:30 – 11:30 Computer Session: Introduction to GitHub (Bellan) (with Bellan, Green, Mthombothi, Pulliam)
- 11:30 – 12:30 Work Session: Work plans for group projects (Project groups)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 15:30 Lecture: Likelihood fitting and dynamic models II (Dushoff) - Slides - [Handouts]((https://github.com/ICI3D/MMEDparticipants/raw/master/Lectures/Dushoff-FittingDynModel_II_handouts.pdf)
- 15:30 – 16:00 Tea
- 16:00 – 17:30 Work Session (Project groups)
- 16:30 – 17:30 Mentoring Session: Bellan, Borchering, Pulliam, Scott
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 Real-world example (optional lecture): Research Talks
Tuesday, 6 June
- 8:30 – 10:00 Lecture: Introduction to Monte Carlo Markov Chains (MCMC) (Bellan) -
Slides (180mb read-only powerpoint slide set with embedded
movies)
- Download the lecture locally from an AIMS computer on the desktop if you login as guest or, if you have an AIMS account, find it at /srv/local/guest/Desktop
- 10:00 – 10:30 Coffee break
- 10:30 - 11:30 Computer session: MCMC fitting Labs 7-8 in R Tutorials (with
Bellan, Dushoff, Gershom, Green)
- Labs 7-8 Summary (Bellan) - Slides to be added
- 11:30 – 12:30 Work Session (Project groups); MedPH break-out group (Borchering, Mthombothi)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 14:45 Lecture: Data wrangling I: Data management and cleaning (Dushoff) - Slides - 2016 lecture slides on data bases
- 14:45 – 15:30 Computer session: R Tutorials - Data wrangling
(Dushoff, Pulliam) (with Dushoff,
Green, Mthombothi, Pulliam, van
Schalkwyk)
- Lab Summary (Pulliam) - Slides to be added
- 15:30 – 16:00 Tea
- 16:00 – 17:30 Work Session (Project groups)
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 AIMS Public Lecture Series (optional): Brian Williams - Scientific certainty and public health action: where does the balance lie?
Wednesday, 7 June
- 8:30 – 10:00 Reading Session (Williams)
- To be read in advance (spend 1 hour total on this):
- Spend 45 minutes reading Williams et al. 2017
- Spend 15 minutes reading Korenromp 2015
- Reading Questions: When reading the above two papers, please try to identify how their
assumptions about the following differ:
- antiretroviral treatment (ART) efficacy
- antiretroviral treatment (ART) coverage
- risk heterogeneity
- Additional references for use during the session: UNAIDS 2016,
- To be read in advance (spend 1 hour total on this):
- 10:00 – 10:30 Coffee break
- 10:30 – 12:30 Work Session (Project groups)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- Sign up to go to on Saturday’s field trip by 13:00. (You will need to be logged into GitHub to sign up.)
- 14:00 – 15:30 Work Session (Project groups)
- 15:30 – 16:00 Tea
- 16:00 – 17:30 Work Session (Project groups)
- 16:30 – 17:30 Mentoring Session - Scott, Hargrove, Bellan, Van Schalkwyk
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 Note that the research talk has been rescheduled for Thursday due to the storm.
Thursday, 8 June
- 8:30 – 9:15 Discussion: Modeling for policy (Williams)
- 9:15 – 10:00 Work Session (Project groups)
- 10:00 – 10:30 Coffee break
- 10:30 – 12:30 Work Session (Mentors)
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 15:30 Work Session (Project groups)
- 14:00 – 15:00 Optional Session: Model assessment (Dushoff) - Slides to be added
- 15:30 – 16:00 Tea
- 16:00 – 17:30 Work Session (Project groups)
- 18:00 – 18:30 Dinner
- 19:00 – 20:00 Real-world example (optional lecture): Research Talk
Friday, 9 June
- 8:30 – 10:00 Work Session (Project groups)
- 10:00 – 10:30 Coffee break
- 10:30 – 12:30 Work Session (Project groups)
- 10:30 – 11:30 Mentoring Session - Dushoff, Borchering, Hargrove, Bellan
- 12:30 – 14:00 Lunch break (Lunch is served from 12:30 to 13:00.)
- 14:00 – 15:45 Final presentations
- 15:45 – 16:00 Tea
- 16:05 – 17:05 Final Feedback Session (Moderator: Hitchcock)
- 17:15 – 17:45 Closing session
- 18:00 – 18:30 Dinner
- 21:00 – 23:00 Social Activity: TBD
Saturday, 10 June
- Clinic officially ends on Friday, but there will be an optional group trip on Saturday.