Chap learning materialPresentations, guides, quizzes and topics about Chap, in one place. Everything here is public.
Some bigger topics the team is working on, where we are happy for contributions.
A series of sessions for ministry of health staff, from simple baselines to climate-informed forecasts. Take them in order.
The six headline metrics Chap shows on every evaluation, one guide each, and a guide to reading them together.
One concept per presentation, such as a baseline, a backtest or a covariate. Short, self-paced and easy to link to or reuse in a session.
Short quizzes to check what participants remember, before or after a session.
Short decks that explain what Chap does and why it is worth adopting, for decision makers and partners.
Short demos for people preparing a session, such as running the slides on your own data.
Presentations · Proposal
Feedback on the Modeling App and four threads to address it: a simpler user flow, building blocks, user stories and a CLI path. Ideas for feedback.
For Implementers and HISP groups, Partners and funders, Data scientists and modellers
Presentations · Session 1
The stages of a model, baseline models, how to read an evaluation, and what a metric adds. A 45-minute webinar.
For District health officers, HMIS staff, Epidemiologists
Presentations · Session 1 · Practice
Try the tools from Session 1 yourself and answer a few questions. Your answers help us improve the training.
For District health officers, HMIS staff, Epidemiologists
Evaluation metrics · Metric guide
CRPS (log1p) scores the middle line and the band together, on a scale where every district counts the same.
For Epidemiologists, Data scientists and modellers, HMIS staff
Evaluation metrics · Metric guide
MAE is how many cases the middle line was off, on average. The easiest metric to explain.
For Epidemiologists, Data scientists and modellers, HMIS staff, District health officers
Evaluation metrics · Metric guide
MAPE is the miss as a share of what really happened, and why it breaks in quiet months.
For Epidemiologists, Data scientists and modellers, HMIS staff
Evaluation metrics · Metrics
The six headline metrics side by side: what each asks, when they disagree, and how to compare a model with the baseline.
For Epidemiologists, Data scientists and modellers, HMIS staff
Evaluation metrics · Metric guide
RMSE squares each miss before averaging, so one missed outbreak weighs more than many small misses.
For Epidemiologists, Data scientists and modellers, HMIS staff
Evaluation metrics · Metric guide
Winkler 25-75 (log1p) rewards a narrow middle band and penalises every value that lands outside it.
For Epidemiologists, Data scientists and modellers, HMIS staff
For trainers · Quiz results
Where participants get practice questions wrong, per session. Needs the results key.
For Trainers
For trainers · Demo
Run the same interactive slides on the synthetic example or on a dataset in your Chap Core server.
For Trainers
Nothing matches. Try another word or filter.