NGA-NBS-IPCCS-2024-v1.0.
Integrated Post Campaign Coverage Survey 2024
First round
IPCCS 2024
No Translation
Name | Country code |
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Nigeria | NGA |
Other Household Health Survey [hh/hea]
Nigeria implemented series of preventive immunization campaigns to combat measles and yellow fever, two major public health concerns, from October to November 2024. These mass vaccination campaigns aimed to prevent, control, and ultimately eliminate these diseases nationwide. To assess the effectiveness of these efforts, Integrated Post Campaign Coverage Surveys (IPCCS) were conducted after each immunization round to evaluate coverage rates in participating states. This proactive approach is crucial, given Nigeria's history of measles outbreaks and ongoing challenges in achieving optimal vaccination coverage.
Measles: Nigeria's measles vaccination coverage reached 84.2 percent nationwide, but fell short of the 95 percent campaign target threshold set for measles elimination during Supplementary Immunization Activities (SIAs). Vaccination coverage by state ranged between 59 percent in FCT and 97 percent in Ekiti. Children aged 48-59 months had the highest coverage at 85.9 percent whereas those aged 9-11 months had the lowest coverage at 78.2 percent. Urban areas had higher coverage rate of 86.0 percent compared to rural areas at 81.8 percent. No significant difference in vaccination coverage was observed between males and females. The percentage of children that received measles vaccine for the first time during the campaign was 11.7. North Central reported the highest proportion of first-time vaccinations at 16.1 percent, followed by South-South at 12.9 percent, while North East had the lowest at 8.2 percent.
Evidence by card retention, history or recall and finger mark were accessed during the survey. Findings shows that card retention had 44.2 percent, history/recall (38.5 percent) and Finger mark seen (15.8 percent). Card retention across the surveyed states show that respondents in Niger state had highest card retention with 74.0 percent while Ogun state recorded the least card retention with 28.3 percent
Majority of respondents (53.2 percent) learned about the campaign through town criers/ mobilizers/ community health workers. More than 7.0 percent of respondents were not informed of the measles campaign, ranging from 1.9 percent in Ekiti state to 28.9 percent in FCT. The primary reason for non-vaccination was lack of awareness among parents or caregivers (7.0 percent) and 1.3 percent of children were not vaccinated due to religious beliefs.
Yellow Fever: At the aggregate level, the vaccination coverage for Yellow Fever in Borno, Lagos and Yobe states was 67.9 percent which was below the expected 80 percent campaign target threshold. The vaccination coverage by state was 81.6 percent in Yobe, 49.9 percent in Borno state and 62.5 percent in Lagos. Further noticeable disparity in the coverage between urban and rural areas, with urban areas having a higher coverage rate of 72.7 percent compared to 64.7 percent in rural areas. Analysis by age group also shows that coverage among children aged 6-14 years has the highest at 76.8 percent, while the lowest is among adults aged 25-44 years at 57.3 percent. Additionally, vaccination coverage was the same among both males and females at 67.9 percent.
Further analysis on card retention, shows that only 40.0 percent of children who received the vaccination had a vaccination card. Yobe state had the highest proportion of children with vaccination cards at 46.6 percent, while Borno state had the lowest, at 25.9 percent.
Evidence of vaccination by finger mark among the targeted States were 10.9 percent in Lagos state, 10.6 percent in Borno state and 3.7 percent in Yobe state.
Majority of respondents learned about the Yellow Fever campaign through town criers /mobilizers/community health workers (31.2 percent), followed by family members (17.5 percent).
Among non-vaccinated children, the primary reason was lack of awareness among parents or caregivers (20.0 percent).
Sample survey data [ssd]
Individual
v1.0 anonymized microdata
2024-12
This dataset is the anonymized version of the cleaned dataset of the Integrated Post Campaign Coverage Survey, 2024.
The Scope of the Integrated Post Campaign Coverage Survey includes:
Post Measles Supplementary Immunisation Activity Coverage Survey Questionnaire
-Household Information Panel
-Household Roster
-Children 9-59 months Information Panel
-Demographic Information
-Immunization
Post yellow fever, Supplementary Immunisation Activity Coverage Survey Questionnaire
-Household Information Panel
-Household Roster
-Children 9-44 months Information Panel
-Demographic Information
-Immunization
Post Measles and Yellow fever Supplementary Immunisation Activity Coverage Survey Questionnaire
-Household Information Panel
-Household Roster
-Children 9-44 months Information Panel
-Demographic Information
-Immunization
National Zone State Sector
Individual members 9-59 months for Post Measles and 9-44 months for Post Yellow fever and Measles
Name | Affiliation |
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National Bureau of Statistics | Federal Government of Nigeria (FGN) |
Name | Affiliation | Role |
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National Primary Health Care Development Agency | Federal Government of Nigeria (FGN) | Collaborating and Technical Support |
World Health Organisation | Technical Support | |
United Nations Children’s Fund | United Nations | Technical Assistance |
Name | Abbreviation | Role |
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Global Alliance for Vaccine and Immunization | GAVI | Funding |
Federal Government of Nigeria | FGN | Funding |
World Health Organization | WHO | Funding |
United Nations Children’s Fund | UNICEF | Funding |
Name | Affiliation | Role |
---|---|---|
Federal Ministry of Health | Federal Government of Nigeria (FGN) | Facilitate Campaign |
The frame used for the Integrated Post Campaign Coverage Survey (IPCCS) was the newly digitalize list of enumeration areas for the next National Housing and Population Census. Samples were selected from the frame. However, some parts of Nigeria that were inaccessible due to security reasons were excluded from the sampling frame.
First Stage Selection
Forty (40) enumeration areas were selected for coverage in each of the 25 states and FCT-Abuja, thus making 26 strata. A total of 1,028 EAs were selected in all the 25 states and FCT-Abuja.
Second Stage Selection
A Systematic random sampling method was used to select households within each EA. A sample of fifteen (15) households were systematically selected per EA for the interview, making a total of 15,600 households across the 25 states and FCT-Abuja.
Third Stage Selection
The selection of respondents within each visited household was determined by specific age cohorts and antigen-related criteria.
Measles
All children aged 9 to 59 months during the campaign were selected from the household roster and were interviewed about measles vaccination and other additional indicators.
Yellow Fever
Individuals from the household roster aged 9 months to 44 years were interviewed about yellow fever vaccination and other related indicators.
No Deviations
The response rate is 100%.
Design weights were computed as the product of inverse probabilities of selection in the first and second stage. Next, the design weight was adjusted for household non-response and child non-response to get the sampling weights for households and for children respectively. Non-response was adjusted at the sampling stratum level. After adjusting for non-response, the sampling weights were normalized and post stratified to get the final standard weights that appear in the data files. Post-stratification was conducted by multiplying the normalised weights with the estimated proportion of children aged 9 to 59 months in each stratum. The estimated number of children in each stratum was obtained from recently concluded micro-planning activity.
Three structured questionnaires were used for IPCCS of which each consists both household and individual questionnaire.The Questionnaires are
-Post Measles Supplementary Immunisation Activity Coverage Survey Questionnaire
-Post yellow fever, Supplementary Immunisation Activity Coverage Survey Questionnaire
-Post Measles and Yellow fever Supplementary Immunisation Activity Coverage Survey Questionnaire
The household questionnaire was administered in each household, which collected information on Identification and Demographic while the Individual questionnaires are targeted at children 5-59 months for Post measles and 9-44 months for Yellow fever.The information collected includes identification,demographic and immunization.
Census and Survey Processing System (CSPro) software was used in developing CAPI application for data collection. Range of checks and skip patterns were built-in and predefined in the CAPI application to ensure that only valid responses were collected. It also ensures that there were responses to all applicable questions. On the completion of the household roster, only age-eligible respondents were presented for interviews. Data were collected from all selected respondents before a household completion status was generated by the CAPI software.
Data cleaning and analyses were conducted using the Supplemental Immunisation Activity (SIA) module of Vaccination Coverage Quality Indicators (VCQI) software running on Stata version 14 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.), SPSS as well as Microsoft Excel for formatting.
Analysis of Post Measles Campaign Vaccination Coverage, reasons for non-vaccination, and AEFI of Measles vaccination coverage were presented by sector, sex, states, and zones. For some important indicators, 95% confidence interval was used to place bound on the outcome.
Start | End |
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2024-11-13 | 2024-12-10 |
Name | Affiliation | Abbreviation |
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National Bureau of Statistics | Federal Government of Nigeria (FGN) | NBS |
There were three levels of quality assurance. Coordination was carried out by stakeholders, NBS Zonal controllers and NBS State officers to ensure the survey was conducted in accordance with the laid down guidelines. NBS and NPHCDA monitors spot-checked the teams to ensure that the survey was conducted in accordance with the standard operating procedures and suggest plausible solutions where and when necessary. This was achieved through the use of checklists. The ICT officers at NBS headquarters checked and verified the real-time data synchronized by the enumerators and flagged all inconsistencies and communicated such to the team leads. Thereafter, the enumerators were instructed to revisit the affected households and make corrections where necessary.
A household listing exercise was carried out to update the list of structures, housing units and households for all selected enumeration areas.Two (2) levels of training were conducted; the first level was training of trainers which was held in Nasarawa State. The duration of the training was three (3) days (18th to 20th October, 2024). The second level of the training was conducted for three (3) days (23rd to 25th October, 2024) in each of the 25 states and FCT-Abuja. The listing was done from 26th October 2024 to 4th November 2024.
Selection of Field Personnel
Field personnel were selected on the basis of knowledge of local language, ability to use digitalize maps to trace the EA boundary, experience in previous household-based surveys and use of Computer Assisted Personal Interviewing (CAPI) for interviewing.
Training for Fieldwork
Two levels of training were conducted. The first level was training of trainers’ s which took place from 15th to 17th November 2024, followed by state-level training from November 20th to 22nd 2024. The participants at the second level training were enumerators, staff of NBS, NPHCDA, UNICEF and WHO. Paper questionnaires were used for training.
Fieldwork Implementation
Following the training, data collection commenced in each state, for a period of 10 days. The data collection was carried out by five teams per state, each consisting of four field personnel (1 team lead and 3 teammates) making a total of 20 field personnel per state.
Real - Time data editing took place at different stages throughout the processing which includes:
A series of data quality tables and graphs are available in the report.
Name | Affiliation | URL | |
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National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) | www.nigerianstat.gov.ng | feedback@nigerianstat.gov.ng |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | The confidentiality of the individual respondent is protected by law (Statistical Act 2007) This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act. |
A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
National Bureau of Statistics (NBS) [Nigeria], National Primary Health Care Development Agency (NPHCDA), and World Health Organisation (WHO) 2024.
The 2024 Integrated SIAs targeted Measles and Yellow Fever interventions Post Campaign Coverage Survey.
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.
(c) 2025, National Bureau of Statistics
Name | Affiliation | URL | |
---|---|---|---|
Prince Adeyemi Adeniran | National Bureau of Statistics (NBS) | sg@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
Mr. Mustapha | National Bureau of Statistics (NBS) | mdazeez@nigerianstat.gov.ng | www.nigerianstat.gov.ng |
Akinloye Adeyeye Elutade | National Bureau of Statistics (NBS) | elutadeyeye@gmail.com | www.nigerianstat.gov.ng |
Hope Chioma Nkemakolam | National Bureau of Statistics (NBS) | hopeotugo@yahoo.com | www.nigerianstat.gov.ng |
DDI-NGA-NBS-IPCCS-2024-v1.0
Name | Abbreviation | Affiliation |
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National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) |
2025-04-07
Version 1.0