This is a repository for the work "Real-time small area estimation of Food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification." (arXiv).
The repo should have a data
folder and a sub-folder raw
with the following datasets:
- Mobile-phone data: In our analysis, WFP's mVAM survey for Zimbabwe conducted within Real-time Monitoring system
- Face-to-face data: In our data analysis, this is The Rural Zimbabwe Vulnerability Assessment Committee (ZimVAC) survey. See Food and Nutrition Council Zimbabwe for the related reports. We used Household-level data (2023 survey for modelling, 2024 survey for validation).The aggregated data (2021 and 2022 survey) are used only for reference.
Both data should have the same structure, e.g.
household_id | adm1_name | adm2_name | obs_month | fcs | covariate_1 | covariate_2 | |
---|---|---|---|---|---|---|---|
1 | Matabeleland South | Beitbridge | 2023-05-01 | 40 | A | B |
In addition, we will also need
- Data from the 2015 Zimbabwe DHS survey which can be can be requested here.
- Zimbabwe MICS6 SPSS Datasets. This can be requested and downloaded from here.
- Nigeria's shapefile:
Zimbabwe_adm2_uscb_2022.shp
can be downloaded from here. This is modified so that theadm2_name
matches those from mVAM surveys, and saved toprocessed
asshapefile.rds
- Zimbabwe 2022 census:
n_hh_by_district_and_ward.xlsx
should contain information extracted from section 5 of the report.
The data should be organized in the following tree structure:
├── data
| ├── raw
| │ ├── mVAM
| | | ├── WFP_mvam_weights_pop.xlsx
| | | └── mVAM.csv
| │ ├── ZimVAC
| | | ├── zimvac2024_survey.csv.
| | | ├── zimvac2023_survey.csv
| | | ├── zimvac2022_agg.csv
| | | └── zimvac2021_agg.csv
| │ ├── zimbabwe-adm1-adm2-uscb-feb22
| │ | ├── Zimbabwe_adm2_uscb_2022.shp
| │ | ├── ...
| │ | └── ...
| │ ├── MICS6
| │ | ├── hh.sav
| │ | ├── hl.sav
| │ | └── ...
| │ ├── DHS
| │ | ├── ZWGE72FL
| │ | | ├── ZWGE72FL.shp
| │ | | ├── ...
| │ | | └── ...
| │ | └── ZWFW71FL.SAV
| | ├── adm2_matched.csv
| | └── n_hh_by_district_and_ward.xlsx
| └── processed - shapefile.rds