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Merge pull request #1402 from ihmeuw/no_10_11_vv
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NO Child model 10.3.1 and 11.1 V&V summary
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alibow authored Nov 20, 2023
2 parents 053af30 + 4627754 commit c01dbac
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- 13
-
-
* - 11.1
* - 11.1 and 11.2
- Bugfixes and updated observers
- Baseline
- Baseline, 2, 13
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5. Wasting transition counts, stratified b BW +/- 2500 grams if possible
- * Age group
* Sex
* - 10.2 and 10.3
* - 10.2, 10.3, 10.3.1
- 1. Deaths
2. Wasting state preson time, stratified by wasting treatment coverage (all transitions)
3. Stunting state person time
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- * Age group
* Sex
* Underweight category
* - 11.1
* - 11.1 and 11.2
- 1. Deaths
2. Wasting state person time (including better/worse MAM differentiation), stratifie by wasting treatment coverage
3. Stunting state person time
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The above two issues are resulting in `lack of person-time exposure validation for MAM and SAM states. <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_10.3_risk_and_cause_checks.ipynb>`_

Otherwise, the underestimation of the mild to susceptible transition rate for all ages (see transition rate notebook) as well as the `treatment coverage issue among the 1-5 month age group have been resolved. <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_10.3_MAM_targets.ipynb>`_
* - 10.3.1
- Check on wasting transition rates and exposure
- * `Transition rates are now all verifying <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_10.3.1_wasting_transitions.ipynb>`_
* `We are underestimating SAM and MAM exposure <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_10.3.1_risk_and_cause_checks.ipynb>`_ despite accurate implementation of wasting transition rates. This may be an issue with our wasting transition rate values rather than model implementation.
* - 11.0
- Check implementation of better/worse MAM and targeting of MAM treatment to worse MAM state
- * `Ratio of worse:better MAM exposure looks good, but combined MAM exposure is off (low at initialization) <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_11.0_risk_exposure.ipynb>`_
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* Appears that there is no targeting based on worse MAM state

* `Better/worse MAM transition rates look good, but mild to no wasting transition is underestimated <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_11.0_wasting_transitions.ipynb>`_
* - 11.1
- Check on issues from run 11.1
- * `Total MAM exposure now looks good at initialization (bug resolved) <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_11.1_risk_exposure.ipynb>`_. Note that MAM and SAM is underestimated in 6-59 month ages, but this issue is present in model 10 and therefore not a model 11 bug.
* `MAM treatment targets do not appear to be functioning correctly (bug remains -- no change from model 11.0) <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_11.1_MAM_targets.ipynb>`_
* `Inaccurate MAM/SAM recovery rates among 6-59 month age group (new bugs) <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/data_prep/verification_and_validation/child_model/model_11.1_wasting_transitions.ipynb>`_, including:

* Underestimated treated SAM->mild transition rate
* Overestimated untreated SAM->worse MAM and SAM->better MAM recovery rates
* Overestimated worse MAM->mild and better MAM->mild recovery rates



.. list-table:: Outstanding V&V issues
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- Explanation
- Action plan
- Timeline
* - 1. Underestimation of MAM to mild transition rate among all age groups older than 6 months
- May be overwriting MAM treatment PAFs to zero for all ages rather than for 1-5 month age group only
* - 1: Underestimation of MAM and SAM exposure despite accurate replication of artifact wasting transition rates
- Unknown, but suspected issue with wasting transition rate values rather than model implementation
- Ali to investigate differences between version 3 of wasting transition rates (succesfully validated as seen in model 7) and version 4 being used in this model. Also to check treatment coverage/effects more in depth.
- ASAP
* - 2: Targeted MAM intervention not targeted to those 6-24 months (should be 100% coverage for this group)
- Unknown -- we thought a fix for this bug was included in model 11.1, but no change from 11.0
- Engineers to investigate
- Model 11.2
* - 3: Targeted MAM intervention not targeted to worse MAM state
- Unknown -- we thought a fix for this bug was included in model 11.1, but no change from 11.0
- Engineers to investigate
- For model 10.4
* - 2. Underestimation of untreated SAM to MAM transition rate among 1-5 month age group
- May not be setting SAM treatment PAFs to zero for 1-5 month age group
- Engineers to investigate
- For model 10.4
* - 3. Total MAM exposure underestimated for early age groups in model 11.0
- Identified issue with wasting initialization using worse MAM rather than total MAM
- Hussain implemented fix, but still running
- Model 11.1
* - 4. Targeted MAM intervention not targeted to those 6-24 months (should be 100% coverage for this group)
- Bug
- Hussain implemented fix, but still running
- Model 11.1
* - 5. Targeted MAM intervention not targeted to worse MAM state
- Bug
- Hussain implemented fix, but still running
- Model 11.1
- Model 11.2
* - 4: Issue with MAM and SAM recovery rates among 6-59 month age group
- Unknown, but suspected to be an issue with how wasting treatment component is interacting with the better/worse MAM substates, as issue is only present in the age groups that receive treatment (not the 1-5 month age group) and only among the transitions that are affected by treatment
- Ali to pair with engineers to review how treatment component is interacting with better/worse MAM substates
- Model 11.2

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