4,910 responses from 982 respondents to 5 items.
One of 2 tables from the same source; this one is the attitude table. The others are listed under Related tables.
| Description | COVID-19 attitudes, 5 yes/no items (hand washing, masks, isolation, social distancing, danger), 1 = yes, 0 = no. Sudanese adults (18+) answering an online Google Form shared via Facebook and WhatsApp, April 2020. N=982 after dropping five double submissions. |
|---|---|
| Reference | Mohamed AAO, Elhassan EAM, Mohamed AO, Mohammed AA, Edris HA, Mahgoop MA, Sharif ME, Bashir MI, Abdelrahim RB, Idriss WI, Malik EM (2021). Knowledge, attitude and practice of the Sudanese people towards COVID-19: an online survey. BMC Public Health, 21, 274. https://doi.org/10.1186/s12889-021-10319-5 |
| DOI | 10.1186/s12889-021-10319-5 |
| Licence | CC BY 4.0 |
| Source data | https://static-content.springer.com/esm/art%3A10.1186%2Fs12889-021-10319-5/MediaObjects/12889_2021_10319_MOESM1_ESM.xlsx |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 4,910 |
|---|---|
| Respondents | 982 |
| Items | 5 |
| Response categories | 2 |
| Responses per respondent | 5 |
| Responses per item | 982 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ara |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mohamed_2021_covid_kap.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age_group | Covariate | agegroups |
cov_awareness | Covariate | awarness |
cov_education | Covariate | Education |
cov_gender | Covariate | gender |
cov_residence | Covariate | AREAOFRESIDENCE |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mohamed_2021_covid_attitude")
# Python
pip install irw
import irw
df = irw.fetch("mohamed_2021_covid_attitude")
@article{Mohamed_2021, title={Knowledge, attitude and practice of the Sudanese people towards COVID-19: an online survey}, volume={21}, ISSN={1471-2458}, url={http://dx.doi.org/10.1186/s12889-021-10319-5}, DOI={10.1186/s12889-021-10319-5}, number={1}, journal={BMC Public Health}, publisher={Springer Science and Business Media LLC}, author={Mohamed, Amal Abdelrahim Osman and Elhassan, Eilaf Ali Mohamed and Mohamed, Abdelrahim Osman and Mohammed, Awab Aldow and edris, Hassan Alshaikh and Mahgoop, Mohamed Alhadi and Sharif, Mohamed Emadaldin and Bashir, Maab Imadeldin and Abdelrahim, Rania Bashir and Idriss, Wegdan Ibraheim and Malik, Elfatih Mohamed}, year={2021}, month=Feb }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |