Closed robin-wang closed 3 years ago
@jianingwwww Hey Jianing, thanks for your time just now. Here is the new assignment. Please note there are a few other surveys pending review, so when ultimately we merge your work (Nepal) into the main branch, minor harmonisation work might be needed.
Thanks so much for your work!
Hi @jianingwwww ,I have reviewed and merged the modified template from the pull request. Kindly compare the statistics from the quality check file to the report to make sure the indicators are not off track.
Regards, Aline
Hi @jianingwwww ,I have reviewed and merged the modified template from the pull request. Kindly compare the statistics from the quality check file to the report to make sure the indicators are not off track.
Regards, Aline
Dear @wengxyu1030 ,
Apologies for the late reply! I have cross-validated applicable statistics in the report and everything looks fine except for the definition of c_measles. I found that there are MR1 and MR2 immunization in Nepal2019 (figure 1). When I searched them in the report, I saw these explanations (figure2 and 3, sorry for the inconvenience because I failed to upload the converted version to GitHub). Should I utilize variable im6m2d/m/y since MR2 seems to indicate Measles immunization coverage?
Best, Jianing
Hi @jianingwwww ,I have reviewed and merged the modified template from the pull request. Kindly compare the statistics from the quality check file to the report to make sure the indicators are not off track. Regards, Aline
Dear @wengxyu1030 ,
Apologies for the late reply! I have cross-validated applicable statistics in the report and everything looks fine except for the definition of c_measles. I found that there are MR1 and MR2 immunization in Nepal2019 (figure 1). When I searched them in the report, I saw these explanations (figure2 and 3, sorry for the inconvenience because I failed to upload the converted version to GitHub). Should I utilize variable im6m2d/m/y since MR2 seems to indicate Measles immunization coverage?
Best, Jianing
Hi Jianing, Thanks for checking the definition for Measles immunisation. Let's try to add im6m2x vars into the scope; it is not uncommon to have multiple indicators for immunisation status. Cheers!
Update and review after weight update. RW Note: polio3 shows a relatively large margin of 12.3percentage points.
Closed with this comment.
1023 Sven feedback polio vars dropped polio vars and full imm
WORKFLOW DOC
{FOR REVIEWERS}
{FOR CODERS} A. General Procedural Steps
[x] Rebase current branch based on Master, ensure your branch is the latest. Tutorial: Rebasing your project branch onto another branch https://docs.github.com/en/desktop/contributing-and-collaborating-using-github-desktop/syncing-your-branch#rebasing-your-project-branch-onto-another-branch
[x] Run script without error
[x] Pass internal quality checking (the embedded quality check result: successfully produced value for the indicators and check if there're flags that the indicator value produced is too off from the published data)
[x] Document as comments any notable changes/caveats (if any)
[x] When Fully Completed Survey Edits, proceed to record hours worked: https://forms.gle/tLh7fxCMMsLobGHA6
B. Checklist and Guidance
[x] Delivery Care
[x] PNC
[x] Child Vaccination (search receive/month in birth.dta. if unknown vaccine pops up, search definition in DHS report)
[x] Child Illness
[x] Child Mortality
[x] Sleeping Under Bednet【not available】
[x] Child Anthropometrics
[x] Reproductive Health
[x] Female Anthropometrics and Cancer Screening【not available】
[x] Hospitalisation, NCD & HIV【not available】
Hospitalisation, general observations
Hypertension treatment , blood pressure measure in the past or during the survey, for example check hm.dta/ind.dta/men.dta (generate a_bp_treat a_bp_sys a_bp_dial a_bp_meas a_hi_bp140 a_hi_bp140_or_on_med from ind.dta & men.dta by combining them)
Note from WB team for reference: "don't worry if you cannot find men.dta, not all surveys have it. if it is collected from ind.dta and men.dta seperately (some survey have female & male questionnarie, collecting these data seperately), you will need to combine these 2 dataset, generating these indicators and merge them back to hm.dta. If only from ind.dta or men.dta, i.e. only for female or male, don't generate these variables. If a new/survey-specific datafile occurs, it is highly likely that it contains info. for 13.do. "
Diabetes treatment/measure in the past (for example, a_diab_treat)
HIV, general observations
HIV questionnaire might exsit in Section 4 of "HEALTH ISSUES QUESTIONNAIRE". If they don't ask hiv test results, they are not helpful. but please document these observations.
[x] Cross-validate statistics in survey report, if applicable.
[x] Reference the NAME-SURVEY branch when your edits are finalised.
[x] Update micro data in Onedrive
[x] Examine Quality Checking Output Files