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Merge branch 'HopkinsIDD:main' into add-UGA_flucast-INFLAenza
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MayaSal authored Mar 1, 2024
2 parents 48920b8 + 7283364 commit 04ab68e
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2 changes: 1 addition & 1 deletion .github/workflows/validate-submission.yaml
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Expand Up @@ -31,7 +31,7 @@ jobs:
- name: Install HubValidations
run: |
install.packages("remotes")
remotes::install_github("Infectious-Disease-Modeling-Hubs/hubValidations")
remotes::install_github("Infectious-Disease-Modeling-Hubs/hubValidations", upgrade = "always")
shell: Rscript {0}

- name: Run validations
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -5,6 +5,8 @@ Respiratory Syncytial Virus (RSV) is the #1 cause of hospitalizations in childre

This repository is designed to collect forecast data for the 2023-2024 RSV Forecast Hub run by Johns Hopkins University Infectious Disease Dynamics Group. This project collects forecasts for weekly new hospitalizations due to confirmed RSV.

The most recent RSV forecasts on the [RSV Forecast Hub dashboard](https://hopkinsidd.github.io/rsv-forecast-hub_website/).

## How to Participate:
This RSV Forecast Hub will serve as a collaborative forecasting challenge for weekly laboratory confirmed RSV hospital admissions. Each week, participants are asked to provide national- and jurisdiction-specific probabilistic forecasts of the weekly number of confirmed RSV hospitalizations for the following four weeks. The RSV Forecast Hub is open to any team willing to provide projections at the right temporal and spatial scales. We only require that participating teams share quantile estimates, along with a short model description and answers to a list of key questions about design.

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228 changes: 3 additions & 225 deletions hub-config/tasks.json
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Expand Up @@ -142,7 +142,7 @@
}
]
},
{
{
"task_ids": {
"origin_date": {
"required": null,
Expand Down Expand Up @@ -264,231 +264,9 @@
"time_unit": "week"
}
]
},
{
"task_ids": {
"origin_date": {
"required": null,
"optional": [
"2023-11-12", "2023-11-19", "2023-11-26", "2023-12-03",
"2023-12-10", "2023-12-17", "2023-12-24", "2023-12-31",
"2024-01-07", "2024-01-14", "2024-01-21", "2024-01-28",
"2024-02-05", "2024-02-11", "2024-02-18", "2024-02-25",
"2024-03-03", "2024-03-10", "2024-03-17", "2024-03-24",
"2024-03-31", "2024-04-07", "2024-04-14", "2024-04-21",
"2024-04-28", "2024-05-05", "2024-05-12"
]
},
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},
"output_type": {
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"required":[0.01,0.025,0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.65,0.7,0.75,0.8,0.85,0.9,0.95,0.975,0.99],
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"value":{
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"target_metadata": [
{
"target_id": "peak size hosp",
"target_name": "Peak size of hospitalization",
"target_units": "count",
"target_keys": {
"target": ["peak size hosp"]
},
"target_type": "discrete",
"is_step_ahead": false
}
]
},
{
"task_ids": {
"origin_date": {
"required": null,
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"2023-11-12", "2023-11-19", "2023-11-26", "2023-12-03",
"2023-12-10", "2023-12-17", "2023-12-24", "2023-12-31",
"2024-01-07", "2024-01-14", "2024-01-21", "2024-01-28",
"2024-02-05", "2024-02-11", "2024-02-18", "2024-02-25",
"2024-03-03", "2024-03-10", "2024-03-17", "2024-03-24",
"2024-03-31", "2024-04-07", "2024-04-14", "2024-04-21",
"2024-04-28", "2024-05-05", "2024-05-12"
]
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}
},
"output_type": {
"cdf":{
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"required":null,
"optional":null
},
"value":{
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"maximum":1
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}
},
"target_metadata": [
{
"target_id": "peak time hosp",
"target_name": "Peak timing of hospitalization",
"target_units": "population",
"target_keys": {
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"is_step_ahead": false,
"time_unit": "week"
}
]
}


],
"submissions_due": {
"relative_to": "origin_date",
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