High-Frequency Phone Survey on COVID-19, 2020-2021
Uganda, 2020
Get Microdata
Reference ID
UGA_2020-2021_HFPS_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics (UBOS)
Collections
Metadata
Created on
Feb 05, 2021
Last modified
Nov 08, 2022
Page views
7243
Downloads
212
Identification
Survey ID Number
UGA_2020-2021_HFPS_v01_EN_M_v01_A_OCS
Title
High-Frequency Phone Survey on COVID-19, 2020-2021
Country
| Name | Country code |
|---|---|
| Uganda | UGA |
Study type
Other Household Survey [hh/oth]
Series Information
The World Bank is providing support to countries to help mitigate the spread and impact of the new coronavirus disease (COVID-19). One area of support is for data collection to inform evidence-based policies that may help mitigate the effects of this disease. Towards this end, the World Bank is leveraging the Living Standards Measurement Study - Integrated Survey on Agriculture (LSMS-ISA) program to support high-frequency phone surveys on COVID-19 in 5 African countries - Nigeria, Ethiopia, Uganda, Tanzania, and Malawi. This effort is part of a broader first wave of World Bank-supported NLPS that can be used to help assess the economic and social implications of the COVID-19 pandemic on households and individuals.
Abstract
Although the first case of COVID-19 in Uganda was confirmed on the 22nd of March, the Government of Uganda had undertaken several actions starting on the 18th of March, including travel restrictions, a 14-day quarantine for all international arrivals, and cancellation of all international conferences and public gatherings, including, but not limited to, religious services, weddings, and concerts. On the 30th of March, the President declared a nationwide curfew from 7 pm to 6:30 am; banned public transportation; and instituted strict regulations for the movement of government and private vehicles. As governments implement various containment measures, it is important to understand how households in the country are affected and responding to the evolving crises, so that policy responses can be designed well and targeted effectively to reduce the negative impacts on household welfare. The objective of the UHFS is to monitor the socio-economic effects of COVID-19 and its related restrictions. The survey will follow the evolving COVID-19 pandemic in real time and will contribute to filling critical gaps in information that could be used by the government and stakeholders to help design policies to mitigate the negative impacts on its population. The UHFS is proposed to have multiple rounds to accommodate the evolving nature of the crisis, including revision of the questionnaire before the next round of the survey. The final sample for the first round of the survey is 2,257 households selected from those of the Uganda National Panel Survey (UNPS) wave 8 that had a phone number for at least one household member or one reference individual. All households not explicitly refusing to participate in the survey in each round were attempted to be reached in the subsequent round. In round 2 - 2199 households were interviewed, whereas the final sample for round 3 is 2147. Weights are adjusted to be nationally representative in each round.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The Uganda High-Frequency Phone Survey on COVID-19 covered the following topics:
- Household Roster
- Knowledge and False Beliefs Regarding the Spread of COVID-19
- Behaviour and Social Distancing
- Access to Basic Services
- Employment
- Agriculture
- Non-Agricultural Business
- Income Loss
- Food Security
- Credit- Concerns
- Coping/Shocks
- Social Safety Nets
- Household Roster
- Knowledge and False Beliefs Regarding the Spread of COVID-19
- Behaviour and Social Distancing
- Access to Basic Services
- Employment
- Agriculture
- Non-Agricultural Business
- Income Loss
- Food Security
- Credit- Concerns
- Coping/Shocks
- Social Safety Nets
Topics
| Topic | Vocabulary |
|---|---|
| Health | FAO |
| Food (production, crisis) | FAO |
| Disaster Risk Management | FAO |
| Agriculture & Rural Development | FAO |
| Labor | FAO |
| Access to Finance | FAO |
| Aid effectiveness | FAO |
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics (UBOS) | Gouvernement of Uganda |
Producers
| Name | Role |
|---|---|
| The World Bank | Collaboration |
Sampling
Sampling Procedure
SAMPLING PROCEDURE:
The sample of the COVID-19 impact survey is a subsample of the Uganda National Panel Survey (UNPS) 2019/20 (wave 8). UNPS 2019/20 interviewed 3098 households of which 2333 in the urban area and 745 in the rural area. In the panel, households are asked to provide a phone number either of their own or of a reference person (e.g. neighbour, friends etc..) in order to be reached in case the households move from their original sample location. In wave 8, 2386 households provided a phone number. To obtain a nationally representative sample for the COVID-19 Impact Survey, a sample size of approximately 1,800 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Thus, all the households in the 2019/20 round of the UNPS that had phone numbers for at least one household member, or a reference individual were included in the initial sample. This consisted of 2227 households, that is the 72 % of the UNPS 2019/20 sample. Table 5 of the basic information document reports the results for the baseline sample: 2246 households were reached and 2227, that is the 93 % of the initial sample were fully interviewed; of these 1644 reside in the rural area, while 583 in the urban area.
The sample of the COVID-19 impact survey is a subsample of the Uganda National Panel Survey (UNPS) 2019/20 (wave 8). UNPS 2019/20 interviewed 3098 households of which 2333 in the urban area and 745 in the rural area. In the panel, households are asked to provide a phone number either of their own or of a reference person (e.g. neighbour, friends etc..) in order to be reached in case the households move from their original sample location. In wave 8, 2386 households provided a phone number. To obtain a nationally representative sample for the COVID-19 Impact Survey, a sample size of approximately 1,800 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Thus, all the households in the 2019/20 round of the UNPS that had phone numbers for at least one household member, or a reference individual were included in the initial sample. This consisted of 2227 households, that is the 72 % of the UNPS 2019/20 sample. Table 5 of the basic information document reports the results for the baseline sample: 2246 households were reached and 2227, that is the 93 % of the initial sample were fully interviewed; of these 1644 reside in the rural area, while 583 in the urban area.
Response Rate
93 percent
Weighting
In order to produce national estimates from the successfully interviewed sample, weights must be applied to the information provided by sampled households. Weights for the UNPS serve as the basis for the COVID-19 impact survey, but the weights were adjusted to reflect the selection and interviewing process. The weights for the baseline COVID-19impact survey were therefore calculated as outlined in in Himelein, K. (2014):
1. Begin with base weights from the UNPS 2019/20 for each household
2. Incorporate probability of sub-selection of round 1 unit for each of the phone survey households. We calculate the probability of selection for each of the 4 strata (regions) in the UNPSby creating the numerators as the number of completed phone interviews and the denominator as the number of households in the UNPS for each stratum.
3. Pool the weights in Steps 1 and 2.
4. Derive attrition-adjusted weights for all individuals by running a logistic response propensity model based on characteristics of the household head (i.e. education, labor force status,demographic characteristics), characteristics of the household (consumption, assets, financial characteristics), and characteristics of the dwelling (house ownership, overcrowding).
5. Trim weights by replacing the top two percent of observations with the 98th percentile cut-off point; and
6. Post-stratify weights to known population totals to correct for the imbalances across regional sample. In doing so, we ensure that the distribution in the survey matches the distribution in the UNPS. Additional technical details and explanations on each of the steps briefly outlined above can be found in Himelein, K. (2014).
Table 7 of the Basic Information Document presents the full set of weighted and unweighted estimates across the different samples. Following the weighting adjustments and calibration, the weighted estimates obtained from the UNPS-Panel and UHFS samples match very closely across all dimensions.
1. Begin with base weights from the UNPS 2019/20 for each household
2. Incorporate probability of sub-selection of round 1 unit for each of the phone survey households. We calculate the probability of selection for each of the 4 strata (regions) in the UNPSby creating the numerators as the number of completed phone interviews and the denominator as the number of households in the UNPS for each stratum.
3. Pool the weights in Steps 1 and 2.
4. Derive attrition-adjusted weights for all individuals by running a logistic response propensity model based on characteristics of the household head (i.e. education, labor force status,demographic characteristics), characteristics of the household (consumption, assets, financial characteristics), and characteristics of the dwelling (house ownership, overcrowding).
5. Trim weights by replacing the top two percent of observations with the 98th percentile cut-off point; and
6. Post-stratify weights to known population totals to correct for the imbalances across regional sample. In doing so, we ensure that the distribution in the survey matches the distribution in the UNPS. Additional technical details and explanations on each of the steps briefly outlined above can be found in Himelein, K. (2014).
Table 7 of the Basic Information Document presents the full set of weighted and unweighted estimates across the different samples. Following the weighting adjustments and calibration, the weighted estimates obtained from the UNPS-Panel and UHFS samples match very closely across all dimensions.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-06-03 | 2020-06-16 | Round 1 |
| 2020-07-30 | 2020-08-19 | Round 2 |
| 2020-09-14 | 2020-10-16 | Round 3 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
Since government-imposed social distancing practices to fight the spread of COVID-19 limited the use of traditional, face-to-face interviews, the interviews were conducted by phone using a Computer-Assisted Telephone Interviewing (CATI) application using the Survey Solution software. For the first round of data collection, phone centers could not be operated due to restrictions of movement and assembly of people, therefore, enumerators worked from their own home.
Questionnaires
Questionnaires
ROUND 1: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; knowledge and false beliefs regarding the spread of COVID-19; behaviour and social distancing; access to basic services; employment; Agriculture; income loss; food security; concerns; coping/shocks; and social safety nets.
ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behaviour and social distancing; access to basic services; employment; Agriculture; non-agricultural income; income loss; food security; credit; concerns; and social safety nets.
ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behaviour and social distancing; access to basic services; employment; Agriculture; non-agricultural income; income loss; food security; credit; concerns; and social safety nets.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| LSMS Data Manager | The World Bank | [email protected] |
Confidentiality
See https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Uganda Bureau of Statistics. Uganda High-Frequency Phone Survey on COVID-19 (HFPS) 2020-2021. Ref. UGA_2020_HFPS_v04_M. Dataset downloaded from [source] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Uganda Bureau of Statistics. Uganda High-Frequency Phone Survey on COVID-19 (HFPS) 2020-2021. Ref. UGA_2020_HFPS_v04_M. Dataset downloaded from [source] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI Document ID
DDI_UGA_2020-2021_HFPS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Economics Data Group | DECDG | World Bank | Documentation of the DDI |
DDI Document version
UGA_2020-2021_HFPS_v01_EN_M_v01_A_OCS_v01