High Frequency Phone Survey on COVID-19 2022, Round 1
Vanuatu, 2022
World Bank
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April 21, 2023
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April 21, 2023
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Identification
Survey ID Number
SPC_VUT_2022_HFPS-W1_v01_M_v01_A_PUF
Title
High Frequency Phone Survey on COVID-19 2022, Round 1
Subtitle
Round 1
Country
| Name | Country code |
|---|---|
| Vanuatu | VUT |
Study type
1-2-3 Survey, phase 1 [hh/123-1]
Series Information
The World Bank is providing support to countries to help mitigate the spread and impact of the new corona-virus 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.
To monitor the socio-economic impacts of COVID-19 in Vanuatu, five rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the first round of the HFPS of Vanuatu.
To monitor the socio-economic impacts of COVID-19 in Vanuatu, five rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the first round of the HFPS of Vanuatu.
Abstract
The phone survey was conducted to gather data on the socio-economic impact of COVID-19 crisis in Vanuatu. Community transmission of COVID-19 in Vanuatu started only in March 2022 followed by the nation-wide lockdown and other restrictions. Round 1 HFPS survey was a timely process to observe the effect of the crisis on the country. Round 1 interviewed 2,515 households both in urban and rural regions of the country from July 2022 to September 2022.
Survey topics included employment and income, food security, coping strategies, access to health services, and asset ownership - all on household level. Additionally, two individual-level datasets explore adult employment and child education. The former selects a randomly chosen adult in the household - could be the respondent of a household-level data, head of the household or another individual - and inquires about their employment status. For the latter, the respondent is being asked about education of a randomly chosen child in the household with more than one child.
While these findings are not without their caveats due to the lack of baseline data, constraints of the mobile phone survey methodology, and data quality constraints, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of the crises on the population.
Survey topics included employment and income, food security, coping strategies, access to health services, and asset ownership - all on household level. Additionally, two individual-level datasets explore adult employment and child education. The former selects a randomly chosen adult in the household - could be the respondent of a household-level data, head of the household or another individual - and inquires about their employment status. For the latter, the respondent is being asked about education of a randomly chosen child in the household with more than one child.
While these findings are not without their caveats due to the lack of baseline data, constraints of the mobile phone survey methodology, and data quality constraints, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of the crises on the population.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household and Individual.
Version
Version Description
Version 01: Cleaned, labelled and anonymized version of the Master file
Version Date
2023-03-23
Version Notes
Data distributed by the World Bank.
Scope
Notes
-HOUSEHOLD DATASET: Basic Information, Vaccine, Health, Education, Food Insecurity, Employment, Income, Coping Strategies, Assets
-ADULT EMPLOYMENT DATASET: Basic Information, Employment
-CHILD EDUCATION DATASET: Basic Information, Child Education
-ADULT EMPLOYMENT DATASET: Basic Information, Employment
-CHILD EDUCATION DATASET: Basic Information, Child Education
Topics
| Topic |
|---|
| pacific-skills, education, training |
| pacific-skills, employment |
Keywords
| Keyword |
|---|
| High Frequency Phone Survey |
| COVID-19 |
| Vaccination |
| Health |
| Education |
| Employment |
| Income |
| Assets |
| Communication |
Coverage
Geographic Coverage
National urban and rural (6 provinces) coverage: Sanma, Shefa, Torba, Penama, Malampa, Tafea
Universe
All respondents must be aged 18 and over and have a phone.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| World Bank | World Bank Group |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Sistemas Integrales Consulting Ltda. | Data collection | |
| The International Bank for Reconstruction and Development | World Bank Group | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank Group | WBG | Funding |
| Australian Department of Foreign Affairs and Trade | DFAT | Funding |
Sampling
Sampling Procedure
The Vanuatu HFPS Round 1 sample was generated in three ways. The first method is Random Digit Dialing (RDD) process covering all cell telephone numbers active at the time of the sample selection. Majority of the sample was generated through RDD in this round - approximately 84%.
The RDD methodology generates virtually all possible telephone numbers in the country under the national telephone numbering plan and then draws a random sample of numbers. This method guarantees full coverage of the population with a phone.
First, a large first-phase sample of cell phone numbers was selected and screened through an automated process to identify the active numbers. Then, a smaller second-phase sample was selected from the active residential numbers identified in the first-phase sample and was delivered to the data collection team to be called by the interviewers. When a cell phone was called, the call answerer was interviewed as long as he or she was 18 years of age or above and knowledgeable about the household activities.
The remaining 16% of Round 1 respondents was retrieved from Vanuatu's National Sustainable Development Plan (NSDP) Baseline Survey 2019/20.
The RDD methodology generates virtually all possible telephone numbers in the country under the national telephone numbering plan and then draws a random sample of numbers. This method guarantees full coverage of the population with a phone.
First, a large first-phase sample of cell phone numbers was selected and screened through an automated process to identify the active numbers. Then, a smaller second-phase sample was selected from the active residential numbers identified in the first-phase sample and was delivered to the data collection team to be called by the interviewers. When a cell phone was called, the call answerer was interviewed as long as he or she was 18 years of age or above and knowledgeable about the household activities.
The remaining 16% of Round 1 respondents was retrieved from Vanuatu's National Sustainable Development Plan (NSDP) Baseline Survey 2019/20.
Response Rate
Total of 9,674 calls were attempted for Round 1. Response rate - where the phone was picked up - was 40%. Out of these, 66% completed the full survey.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2022-07-21 | 2022-09-14 | Data collection |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
The survey management team of Sistemas Integrales included a Project Director, a Project Manager, and an Operations Manager. The data collection was implemented with a team formed by three field coordinators, 2 supervisors and 22 interviewer. The average interview time for 158 question-long survey was 37.96 minutes.
Data Collectors
| Name |
|---|
| Sistemas Integrales Consulting |
Questionnaires
Questionnaires
The questionnaire was developed in both English and Bislama. Sections of the Questionnaire are listed below:
1. Interview Information
2. Basic Information
3. Vaccine Information
4. Health
5. Education
6. Food Insecurity
7. Employment
8. Income
9. Coping Strategies
10. Assets
11. Digital
12. Recontact
The questionnaire is provided in this documentation as an external resource.
1. Interview Information
2. Basic Information
3. Vaccine Information
4. Health
5. Education
6. Food Insecurity
7. Employment
8. Income
9. Coping Strategies
10. Assets
11. Digital
12. Recontact
The questionnaire is provided in this documentation as an external resource.
Data Processing
Data Editing
At the end of data collection, the raw dataset was cleaned by the survey firm and the World Bank team. Data cleaning mainly included formatting, relabeling, and excluding survey monitoring variables (e.g., interview start and end times). Data was edited using the software Stata.
Other Processing
For consistency purposes, all categorical levels were labeled identically across variables, where applicable. Each dataset has its own weight variable used for data processing. For the household dataset, "wta_hh" is used for household-level analysis. For the adult employment individual-level analysis "empl_weight" should be used. Child weights - "chi_weight" - represent weights for children aged 5-17 and should be used for child-level analysis.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/ |
Contacts
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/ |
Confidentiality
Before being granted access to the dataset, all users must 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 needs to be immediately brought to the attention of the data depositor
Access conditions
The dataset has been anonymized and is available as a licensed data file. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, Institutions, or organizations without the written agreement of the Pacific Data Hub - Microdata Library.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations,
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the Pacific Data Hub - Microdata Library.
4. No attempt will be made to produce links among datasets provided by the Pacific Data Hub - Microdata Library, or among data from the Pacific Data Hub - Microdata Libraryand other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Pacific Data Hub - Microdata Librarywill cite the source of data in accordance with the Citation Requirement provided with each dataset.
1. The data and other materials will not be redistributed or sold to other individuals, Institutions, or organizations without the written agreement of the Pacific Data Hub - Microdata Library.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations,
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the Pacific Data Hub - Microdata Library.
4. No attempt will be made to produce links among datasets provided by the Pacific Data Hub - Microdata Library, or among data from the Pacific Data Hub - Microdata Libraryand other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Pacific Data Hub - Microdata Librarywill cite the source of data in accordance with the Citation Requirement provided with each dataset.
Citation requirements
"Vanuatu, High Frequency Phone Survey on COVID-19 2022 round 1 (HFPS 2022-W1), Version 01 of the licensed dataset (March 2022), provided by the Pacific Data Hub - Microdata Library. https://microdata.pacificdata.org/index.php/home"
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_SPC_VUT_2022_HFPS-W1_v01_M_v01_A_PUF
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Statistics for Development Division | SDD | Pacific Community (SPC) | Documentation of the survey |
Date of Metadata Production
2023-04-21
DDI Document version
-Version 01 (April 2023): This is the first attempt at documenting the first round of the 2022 High Frequency Phone Survey on COVID-19 of Vanuatu. Done by Statistics for Development Division at Noumea, New Caledonia.