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Article

Lessons from Recent Measles Post-Campaign Coverage Surveys Worldwide

by
M. Carolina Danovaro-Holliday
1,*,
Mitsuki Koh
1,
Claudia Steulet
1,
Dale A. Rhoda
2 and
Mary Kay Trimner
2
1
World Health Organization, 1211 Geneva, Switzerland
2
Biostat Global Consulting, Worthington, OH 43085, USA
*
Author to whom correspondence should be addressed.
Vaccines 2024, 12(11), 1257; https://doi.org/10.3390/vaccines12111257
Submission received: 27 August 2024 / Revised: 16 October 2024 / Accepted: 20 October 2024 / Published: 6 November 2024

Abstract

:
Background: Measles elimination strategies include supplementary immunization activities (SIAs) to rapidly fill immunity gaps. Post-campaign coverage surveys (PCCSs) are recommended to assess SIA coverage. We characterized selected PCCSs performed following recent SIAs, highlighting specific challenges and strengths, and provide recommendations for improvement. Methods: We extracted national SIA data from the global measles/MR SIA database for the period of 2020–2023 and reviewed PCCS reports available at the World Health Organization headquarters. We extracted selected information on PCCS implementation, including information about the implementer, sampling, and main results. Results: Only 15 of 66 countries (23%) with a national-level SIA performed since 2020 had a PCCS report available. We reviewed those reports, plus six more, following three 2019 SIAs with a delayed PCCS and two PCCSs following large subnational SIAs (Kenya 2021 and Yemen 2023). All 24 PCCS reports available were from Gavi-eligible countries, with 15 from South Saharan Africa (Cameroon, the Democratic Republic of the Congo, and Ethiopia had two PCCSs). Eleven (45.8%) PCCSs were conducted within three months of the end of the SIA. All included sampling information and most had percentage of participation. Description of the interviewers’ profiles varied but was limited. PCCS coverage was lower than administrative data in all but two instances. All PCCSs collected data on previous measles vaccination status that would allow exploring indicators on the SIA reaching previously measles zero-dose children. Of the 12 PCCSs reporting coverage among previously measles zero-dose children, nine reported coverage among this group of more than 50% (range: 12% and 91.6%). Conclusion: Even though a PCCS following an SIA is recommended and a requirement in Gavi-supported countries, most SIAs are not followed by a PCCS and, when performed, the timeliness of survey implementation needs improvement. Recent PCCSs were independently conducted and reports included basic survey information, but analysis and presentation of survey results vary particularly for measles zero-dose-related indicators. More guidance and technical support on how to implement PCCSs, including standardization of reports and more in-depth PCCS analyses, may help improve reporting and use of available PCCS data.

1. Background

Since the launch of the Expanded Program on Immunization (EPI) 50 years ago, over 154 million vaccine-preventable deaths have been averted, with measles vaccination contributing in a great extent to this achievement [1]. The World Health Organization (WHO) recommends two doses of a measles-containing vaccine (MCV) to be given in routine immunization (RI) [2]. In addition, supplementary immunization activities (SIAs) are a common strategy used to fill immunity gaps resulting from incomplete vaccination through RI services [3,4]. SIAs have been part of measles elimination strategies since their development in the 1990s [4,5]. During an SIA, age- and place-eligible persons, most often children, are vaccinated regardless of their previous vaccination status. In most low- and middle-income countries, SIAs occur every 2–5 years, as the number of measles-susceptible persons accumulate from incomplete vaccination coverage with one or two doses [3,6,7,8]. SIAs have been found to be more equitable in reaching children than routine immunization in several countries [9], and their timeliness and performance have been under much scrutiny recently [10,11]. Most countries have now also introduced rubella vaccination and use measles-rubella-containing (MR) vaccines, with SIAs effectively contributing to rubella control and elimination [12,13]. During the COVID-19 pandemic, not only did MCV1 and MCV2 coverage decline globally [14,15,16], but also many SIAs were cancelled or postponed [17]. MCV coverage is yet to reach pre-pandemic levels globally. As a result, several outbreaks are now occurring across the globe [18,19,20].
To be effective, SIAs need to reach high and homogenous coverage; reaching communities and children previously missed by RI is particularly important. To evaluate the coverage reached by an SIA, the Measles and Rubella Partnership (former Measles Rubella Initiative) recommends implementing an independent post-campaign coverage survey (PCCS) within three months of SIA implementation. For measles and MR SIAs implemented with support from Gavi, the Vaccine Alliance, a PCCS following WHO guidance is required [21,22,23]. A PCCS does not replace intra-campaign monitoring using real-time monitoring of the process, administrative data, and rapid convenience monitoring [3,24,25,26]. However, a PCCS is considered an important tool to estimate the coverage reached by the SIA, to evaluate coverage among children who were previously zero-dose measles vs. those who had been previously vaccinated, and to better understand enablers and barriers to vaccination [22,27].
Concerns have been raised about the quality of vaccination coverage surveys in general and for those following measles campaigns in particular [25,28]. In 2015, the WHO released new survey guidance, first as a working draft and in 2018 as a final product, and accompanying analytical software to overcome some of the challenges [22,28]. Countries have since moved toward conducting independent, probability sampling, vaccination coverage surveys that use probability sampling. This manuscript explores the implementation of PCCSs following measles and MR SIAs since 2020, in addition to selected PCCSs not included in a related publication manuscript published in 2021 [21]. It also characterizes the PCCSs conducted, highlighting specific challenges and strengths, and provides recommendations for improvement.

2. Methods

We extracted SIA data from the measles/MR SIA database and reviewed the PCCS reports available at the World Health Organization headquarters as of 11 July 2024. We restricted the analysis to PCCSs conducted since 2020, as a summary of PCCSs conducted between 2017 and 2019 was published by Cutts et al. [21]. However, PCCS reports for 2019 SIAs that were not included in that publication were also included here.
We extracted data on country, vaccine type, SIA date, target age group, estimated target population, administrative coverage, and conduct of the PCCS. For the available PCCS reports, we extracted information on whether it was a national-level survey, dates of field work, sample size, SIA cards or finger marking seen, profile of the implementing partner, sampling approach, length of training, the composition of teams and the supervision provided, and whether the PCCS included questions related to barriers and enablers to vaccination or on reasons for no vaccination. Regarding the results, we extracted information on whether a description of the sample, including the exclusion of certain areas and clusters, was presented. We also extracted MCV RI coverage, SIA overall coverage, and information related to measles zero-dose children, including the proportion receiving their first MCV dose in the SIA, SIA coverage among previously measles zero-dose children, and proportion who remained measles zero-dose after the SIA. Two of the authors (MCD-H and MK) extracted the data in an Excel file, and when one was unsure, both authors reviewed at the report together.

3. Results

Review of the WHO SIA database identified 66 countries that had conducted non-outbreak response, national-level, or rolling SIAs between 2020 and 21 June 2024 (Supplemental Table S1). Of them, 15 (23%) had a PCCS with a report available; Ethiopia had two. We also included six additional PCCS reports following 2019 SIAs that were not included by Cutts et al. [21], as well as one PCCS report from Kenya, for a subnational SIA in 2021 and one from Yemen, for a subnational SIA in 2023, but both covered a large proportion of the country. Cameroon and DRC had PCCSs that evaluated 2019 SIAs. In total, our analysis included 24 PCCS reports (Table 1 and Table 2). All PCCSs were implemented at the national level, except for Kenya, which included only the 22 counties where the SIA took place, and Yemen, where the SIA and PCCS were conducted only in the southern governorates. The Somalia PCCS excluded one large northern region, although the SIA was also conducted there. For the Central African Republic, only 57% of enumeration areas available in the list of enumeration areas were deemed accessible and kept in the sampling frame. Eleven PCCSs (45.8%) were implemented within three months of the SIA; four PCCSs (16.7%) were implemented at about one year or more after the SIA. In terms of implementers, four were conducted by the National Bureau of Statistics (NBS) and all but two at least mentioned collaborating or using a sampling frame from the NBS. Twenty-three PCCSs reported having performed a weighted analysis, although in one it was unclear if weighting was performed according to the sampling strategy or only to aggregate the country-level estimates. For Syria, weighting was not performed as per NBS guidance due to the current situation of moving populations and unavailability of accurate population data at any administrative level. Ten (43%) were led by independent consultants or organizations and four (20.8%) were led by an academic institution or a research organization.
Twenty-one (87.5%) reports indicated having referred to the 2018 WHO Vaccination Coverage Cluster Survey Reference Manual, with one referring to an outdated version (2005), and most described the key sampling elements. All but two reports described exclusions or furnished the response rate. Sample sizes varied, but most PCCSs were large, with all having >1000 children. Regarding field implementation, dates were explicitly stated in all but one report. The description of the composition of the teams varied broadly, with the profile and gender of interviewers rarely described (data not displayed in the table, as the reports varied widely). Seventeen PCCS reports mentioned ethical clearance being obtained and two (Chad and Kenya) indicated that the survey was considered a programmatic evaluation and thus ethical clearance not required. The other five reports had no mention of ethical review, although explicit information on informed consent was available for three (the two PCCSs from Cameron and the one in Nigeria) of these five. Copies of the questionnaires were included in 19 reports (79.2%). Of relevance, all but one of the PCCSs were performed using computer-assisted personal interviewing (CAPI) and at least seventeen (70.8%) collected GPS coordinates. We did not explicitly extract information on whether geospatial analyses were conducted, but from reading the reports, we noted that maps were not frequently included. Finally, all PCCSs included a section on reasons for no vaccination, with two mentioning the Behavioral and Social Drivers of Vaccination (BeSD) framework.
The main PCCS results and comparisons to administrative data and routine coverage with the first dose of a measles-containing vaccine (MCV1) are included in Table 2. PCCS SIA coverage was lower than the administrative coverage included in the SIA database, apart from DPR Korea and the accessible areas of Syria. Regarding ascertainment of SIA vaccination, 19 had vaccination cards or finger marking as proof of vaccination in the SIA (range: 6.9–81.1%). One third of the PCCSs reported SIA coverage that was below the WHO/UNICEF Estimate of National Immunization Coverage (WUENIC) for one dose of a measles-containing vaccine. Twenty PCCS reports (83.3%) included at least one of the indicators related to zero-dose measles. Of the 12 PCCSs reporting coverage among previously measles zero-dose children, nine had coverage of more than 50% (range: 12% and 91.6%). DPR Korea and Nepal explored this indicator but unvaccinated children in the sample were extremely few. Only the Zambia PCCS report did not allow ascertaining whether the collected data would allow calculating at least one of the three measles zero-dose SIA coverage indicators included in our table.
Only one anonymized database was available to WHO-HQ. This PCCS had been re-analyzed, in 2023, using the tool Vaccination Coverage Quality Indicators (VCQI) [29] upon request from stakeholders. In this PCCS, which excluded one large northern region and security-compromised areas, SIA coverage among children previously vaccinated with either one or 2+ measles doses was strikingly higher than among those who had no previous MCV dose. Table 3 illustrates the VCQI output for a given age-group.
Secondary analyses were conducted to better understand SIA coverage heterogeneity. Table 4 describes measles SIA coverage, the number of children in the sample, and the number of clusters, by state. It then indicates the number of clusters where all surveyed children were found vaccinated, those where the proportion was >50% but <100%, and then the clusters where the proportion of vaccinated children was ≤50%. The design effect (DEFF) and intra-cluster correlation coefficient (ICC) are also included for each stratum. Both parameters were high, with the DEFF ranging from 10.8 to 28.5, which is largely above the parameters used in sample size calculations. The large value observed here is due to the high ICC and an unusually high number of respondents per cluster.
An organ pipe plot [21,30], as recommended by the WHO Vaccination Coverage Survey Manual, was produced for all 6 states included in the PCCS (Figure 1—illustrative). Cluster-level SIA proportion vaccinated (indicated by the individual columns) varied considerably across State X.
Figure footnote: Clusters are sorted left-to-right in descending order of coverage. In this representation, clusters with 100% sample coverage are light blue, those with 50.01–99.99% are dark blue, and those with 0–50% are shown in orange. The thin gray dashed line that varies in height from cluster to cluster indicates the number of respondents per cluster and its values are read using the right vertical axis.
Only two other PCCS reports reviewed for this work included calculation of the intra-cluster correlation coefficient (ICC) or design effect (DEFF), parameters that are useful to inform sample size calculations in future PCCS.

4. Discussion

Though measles SIAs are performed in many parts of the world, few countries use PCCSs to evaluate their performance. All PCCSs for which the WHO had access to reports were conducted in Gavi-eligible countries, and most in Sub Saharan Africa. If we compare our findings with previous reviews [21,25], the use of probability sampling and weighted analysis is encouraging; most PCCSs are explicit in indicating that current WHO guidance is being considered. The independence of implementers and quality of reports has also improved compared to previous studies.
Many challenges remain, however. Not all countries can implement a PCCS, and this is evident from the fact that only Gavi eligible countries had PCCS reports available. Also, the timing of PCCS implementation is of particular concern. Only about half of the PCCSs explored here were implemented within three months of the SIA, though our findings are confounded by the limitations to field activities imposed by the COVID-19 pandemic.
Administrative coverage levels tend to overestimate campaign coverage compared to coverage obtained from PCCS. This finding is not surprising. Administrative coverage can be affected by inaccurate denominators and errors in tallying and aggregating doses. For SIAs, vaccination of children outside the target age while tallying them as within the age range is not uncommon.
Only five PCCS coverage levels were above 90%, and only one >95%. We also observed that measles SIA coverage was lower than routine MCV1 coverage for a third of the PCCSs included. This was unexpected, as SIAs, by their nature, conduct intensive outreach and social mobilization. This warrants more exploration, as it may also be that as documentation of vaccine doses received improves, children who are already vaccinated may be less likely to go for an additional dose.
The next questions after seeing coverage that is insufficient to stop measles transmission are: where coverage was not reached and why. While PCCSs can provide clues, these answers would be better addressed by better intra-campaign monitoring and rapid convenience monitoring before stopping vaccination. We did not explore these aspects of SIA implementation but would argue that they need strengthening judging by the SIA coverage reached in most recent campaigns and their heterogeneity in reaching previously unvaccinated children [4,21,27,31]. Furthermore, to our knowledge, only campaign coverage is broadly accepted and recommended as an indicator of measles SIA quality and impact. The establishment of more criteria to assess SIAs was recommended by the Measles & Rubella Strategic Framework 2021–2030 published at the beginning of the decade [32].
Conducting a PCCS is not always easy. The PCCSs included here tend to be large, with over 1000 children. The more clusters in a survey, the more resources are needed to reach the different areas. In addition to the challenges linked to the normal work of reaching selected places, interviewing families takes time and effort. Four reports explicitly mentioned the violence that survey teams faced, with one survey team even being kidnapped in a country in central Africa. To this end, one should consider under what situations a PCCS may not be the best use of resources or may not warrant the risk that field work may entail. Also, complementary monitoring tools may need to be used in insecure areas and others that are not included in normal sampling frames. Decision support tools may be worth considering. Time elapsed between the SIA and the PCCS may be a consideration. Senegal implemented a selective SIA in 2021. It was an SIA of particular interest because it involved screening and listing children aged 9 to 59 months (performed in Oct 2021) and then vaccination of these children at fixed and outreach sites (in November 2021); children not on the lists but who came to a site without documentation of having previously received two doses of MR vaccine were also to be vaccinated. Unfortunately, a PCCS was not conducted until 2023, and at the time of this writing, in July 2024, the report is not available. Another example where a PCCS may not be the best option is when an SIA is known to not have reached high coverage, using administrative data and a narrative of the issues, complemented or not with rapid convenience monitoring, may be a better option. This was the case in Indonesia outside of Java in 2017–2018 and the Gambia in 2022. Another example might be that of South Sudan, where after performing an SIA in 2023 decided to prioritize campaign evaluation and rapid field assessments, and their PCCS was paired with a planned RI vaccination coverage survey that was scheduled for late 2023, after the rainy season. This survey is yet to be implemented. Recent outbreaks affecting mainly children aged 1–4 years suggest that coverage was likely insufficient [33]. More needs to be done to triangulate data from intra-campaign monitoring and administrative coverage with PCCS findings to better inform the proposed decision support algorithms [3,31].
When PCCSs are implemented, exploiting the findings and the available data should be of utmost priority. The WHO and partners make available analytical software and a detailed list of indicators [29]. However, most of the surveys described in the reports accessible to us did not use them. This may reflect limited awareness or other barriers that we need to further explore. In addition to coverage and the availability of sociodemographic variables that would allow exploring factors associated with no vaccination, most PCCSs now collect GPS coordinates. They also have information about reasons for no vaccination, and more recent PCCSs are starting to use the Behavioral and Social Drivers of Immunization (BeSD) [34] framework to explore barriers and enablers to vaccination.
Some of the countries included here used survey data to conduct exploratory analysis on factors linked to not being vaccinated. Nigeria explored geographic differences in measles vaccination in RI vs. SIAs [27]. The analysis showed that the SIA reached more homogenous coverage than the RI, but that there are areas where many children are missed by both approaches. Furthermore, geolocated campaign and RI coverage data can be extremely useful to modelers when modeling disease transmission and outbreak risk, which can help to inform disease control targeting [10,11,31,35,36,37,38,39]. However, unlike well-established household survey programs, there is no PCCS database repository. The example presented here allowed exploring heterogeneity in coverage. The results, which represent areas that were accessible to surveyors, warrant better exploring why coverage among measles zero-dose children was so much lower than that for those who had been previously vaccinated. Countries should be encouraged to make anonymized databases available to the WHO, the IA2030 Measles and Rubella Partnership, and other stakeholders, as is done by most household surveys. Furthermore, we support the initiative by the IA2030 Partnership to establish data analysis cooperation in countries conducting coverage surveys with additional analyses performed by local analysts, close in time to the PCCS, and engaging with EPI programs to promote data use.
Our analysis has several limitations. First, we included only national SIAs that were not for outbreak response. We may have accidentally left out SIAs that should have been included. Second, we may not have the reports of all PCCSs conducted. This is less likely for Gavi-eligible countries, as the authors reached out to Gavi and the US Centers for Disease Control and Prevention (CDC) to seek reports. However, non-Gavi eligible countries may not share PCCS reports with the WHO. Third, we selected only a few characteristics of the PCCS and the reports from a long list of recommended items in the survey checklist recommended by Cutts et al. [21] and adopted by Gavi. Also, we did not compare the reports to the elements recommended in the recently introduced “Preferred Reporting Items for Complex Sample Survey Analysis” (PRICSSA) checklist [40]. Fourth, two authors extracted data from the PCCS reports, and as they were not structured according to our list of items, we may have misrepresented some data; we did not attempt to reach PCCS teams for clarifications. Lastly, having an item in a report does not guarantee good survey implementation. There are many challenges to conducting field enumeration and sampling, identifying pre-selected clusters boundaries and pre-selected households, and to interviewing people, particularly to ascertain vaccination status when a card or other documentation is not available. Caregivers’ ability to accurately recall vaccination experience for each of their children can be challenging, and more so the longer the time lag between the SIA and the survey. Analysis of data collected using complex sampling, particularly the appropriate weight calculations, and use of sample design parameters in statistical packages is challenging. We did not have access to any analytical codes, except for the VCQI code used for one PCCS performed by two co-authors (DR and MKT). Nevertheless, we believe that our main findings remain solid: not all SIAs are followed by a PCCS and, when performed, timeliness remains a concern; more PCCSs appear to be following current recommendations; survey coverage tends to be lower than administrative SIA results; and more analysis could be performed with the data that are collected by PCCS analysts and, if made available, by measles modelers and other stakeholders.
Gavi contracted out two PCCSs in 2024, one for Burkina Faso and one for Laos, in an attempt to ensure PCCS timeliness and quality survey implementation. Neither report is available for review yet. This work will present an opportunity to explore the pros and cons of a centralized contracting approach, as well as to explicitly triangulate PCCS results with other data to better inform decision making.
The WHO is coordinating a thorough update to the 2018 Vaccination Coverage Cluster Survey Reference Manual [22] and accompanying software tools [29] in 2024–2026. This presents an opportunity to further engage with countries and the IA2030 Measles and Rubella Partnership to ensure that the revised guidance includes options for areas where regular sampling is problematic, clearer standardization for reports, more guidance on analyses beyond descriptive statistics, and more hands-on capacity-building activities if a stakeholder analysis identifies this as useful.
Measles is so exceedingly contagious that very high vaccination coverage is required to prevent outbreaks from spreading through a population. High-quality, independent, probability-based assessments of campaign coverage will be useful both for refining SIA planning and execution to consistently achieve high coverage rates, especially among measles zero-dose children.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vaccines12111257/s1. Table S1: List of measles campaigns, global measles supplemental immunization activity (SIA) database.

Author Contributions

Conceptualization, M.C.D.-H.; Data compilation: C.S.; Data extraction M.C.D.-H. and M.K.; Survey data analysis, D.A.R. and M.K.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study did not require ethical approval as it is a secondary data analysis.

Informed Consent Statement

Informed consent was obtained from all subjects participating in the surveys described in this study.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

M.C.D.-H., C.S., and M.K. for the World Health Organization (WHO). The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy, or views of the WHO. D.A.R. and M.K.T. declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Authors Dale A. Rhoda and Mary Kay Trimner are employed by the company Biostat Global Consulting. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Figure 1. Organ pipe plot of proportion of children vaccinated per cluster in State X. Somalia (minus one large northern region one large northern region) PCCS 2023.
Figure 1. Organ pipe plot of proportion of children vaccinated per cluster in State X. Somalia (minus one large northern region one large northern region) PCCS 2023.
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Table 1. Summary of basic characteristics of post-campaign coverage surveys (PCCSs) following measles supplementary immunization activities.
Table 1. Summary of basic characteristics of post-campaign coverage surveys (PCCSs) following measles supplementary immunization activities.
Measles Supplementary Immunization Activities (SIAs)Post-Campaign Coverage Surveys (PCCSs)
BasicsBasicsSampling
#Year of PCCSCountryWHO RegionTarget Age Group in MonthsEstimated Target PopulationAdmin Coverage %SIA Month/YearMonth/Year of Field WorkDelay Between SIA & PCCS (in Months)Lead ImplementerEthical Clearance MentionedQuestionnaire/Data Collection Form Included in Report# of Clusters Selected/Included# of Households Interviewed# of Children IncludedDescription of Response Rates of ClustersDescription of Response Rates of HouseholdsPrimary Sampling UnitsHousehold Enumeration DoneInvolvement of NBS/CSOData Collection ToolsGPS Coordinates CollectedSoftware Used for Analysis
12019 Democratic People’s Republic of Korea SEAR 9 months-15 years old5,873,91499.7Oct-19WinterNACountry-ledYesYes411312 (31 HH in each cluster)1180YesYesCensus enumeration blocksYesYesCSProNoSPSS
22019 Zimbabwe AFR 9–59 months1,776,54691Sep-19Nov-192 monthsNot specifiedYesYes4708110 planned *actual number included missing3796 planned *actual number included missingNoNoEnumeration areasYesYesODKNRStata
32020 Burkina Faso AFR 9–59 months3,078,334106Nov-19Aug–Sept 20209–10 monthsIndependent consultantYesNo54817,6508457YesYesEnumeration areasNot mentionedSampling frame from NBSODKNASPSS and Stata
42020 Cameroon AFR 9–59 months3,339,09092Dec-19June–July 20206–7 monthsResearch OrganizationNot mentioned. Informed consent was obtained.Yes39648664671YesYesEnumeration areasYesSampling frame from NBSODKYesSPSS
52020 Ethiopia AFR 9–59 months14,181,143102.8June–July 2020Oct 2020–Jan 20214–6 monthsResearch OrganizationYesYes1016
Tigray was excluded
10,14312,867YesYesEnumeration areasYesSampling frame from NBSCSProYesStata, VCQI
62020 Uganda AFR 9 months to less than 15 years old18,200,970107Oct-19Dec 2019–Jan 20202–3 monthsAcademic InstitutionYesNo363517412,025Yes (written as coverage rate)YesEnumeration areasYesSampling frame from NBSODKNAStata
72021 Central African Republic † AFR 6–59 months
5–10 years
1,209,256102 for 6–59 m
85.5 for 5–10 yrs
Phase 1: Mar-2020
Phase 2: Aug-2020
Dec 2020 Bangui, March–April 2021 rest8–11 monthsIndependent consultantYesYes24031725674YesYesEnumeration areasYesSampling frame from NBSODKYes (difficulties noted)SPSS
82021 Chad AFR 9–59 months1,792,830 (Phase1)

1,623,518 (Phase2)
108.8 (Phase1)
107.5 (Phase2)
Jan- 2021 (Phase1)
Mar-2021 (Phase2)
Mar–April 2022~1 yearIndependent consultantThe survey technical committe considered that the survey was not reasearch and thus it was not needed to present the protocol to an ethical comittee. Informed consent was obtained.Yes69515,79311,601YesYesEnumeration areas, with segmentationYesYesODKYes, at least for clustersSPSS and Stata
92021 Democratic Republic of the Congo AFR 6–59 months18,167,926101.6Oct-Dec 2019Nov–Dec 2021~2 yearsIndependent consultantYesYes72881,74021,575YesYesEnumeration areasYesYesCSProYesSPSS, EpIInfo
102021 Kenya ‡ AFR 9–59 months3,374,464111June–July 2021Jul-21<3 monthsNBSConsidered programmatic evaluation. No ethical clearance was sought. Informed consent was obtained.No47744045409Yes, but by RegionYesEnumeration areasNot for the PCCS. Sample was from available up-to-date sampling frame maintained by NBS.YesSurvey Solution application with digitization of the questionnaire and integration of maps.YesNot mentioned
112021 Nepal SEAR 9–59 months2,548,336101Feb–Mar 2020 (Phase 1)
Mar–July 2020 (Phase 2)
Sept–Nov 2021>1 yearFamily Welfare Division
Department of Health Services
MOH
YesYes34271803715YesYesList of wards (some were merged or segmented)YesYesCSProYesSPSS
122021 Pakistan EMR 9 months-15 years old90,262,980105Nov-21Nov 2021–Jan 2022<3 monthsContech International Health ConsultantsYesYes158415,84031,871YesYesEnumeration areasYesYes. Technical and sampling frameProprietary android-based CAPI application from implementing partnerNoStata, VCQI
132021 Zambia AFR 9–59 months3,398,23091.3Nov-20Oct-21>1 yearNot specifiedNoNo27251554590NoYesEnumeration areasYesYesThe questionnaire was programmed into a CAPI application using survey solutions, a World Bank software applicationNot mentioned?
142022 Burundi AFR 9–59 months1,683,30093Jan-22Oct–Nov 202210–11 monthsNBSNot mentionedYes54032,17720,618YesYesEnnumeration areasYesYesKoboCollectYesSPSS and Stata
152022 Madagascar AFR 6–59 months4,355,43395.11May–June 2022Aug–Sept 20223 monthsInternational consultant with Directorate of Demography and Social Statistics (DDSS) of the NBSYesYes12330551421YesYesEnumeration areasYesYesCSProYesSPSS and Stata
162022 Somalia EMR children
of 0–59 months for tOPV, 06–59 months for MCV and Vitamin A and 12–59 months for
deworming
2,566,95590Nov-22Feb-233 monthsIndependent consultant/cabinetYesYes45017,53921,740NoNoLists of accessible areas (not mentioned in detail)Not mentionedNot mentionedSurvey123YesSPSS, Stata, ArcGIS
172022 or 2023 Syrian Arab Republic EMR 6 months-5 years2,494,49875.62Oct–Nov 2022Dates not provided. 2023?NAIndependent consultantYesNo9959823581YesYesSub-districtsYesYes, technical advisePaper-basedNoEpiInfo
182023 Cameroon AFR 9–59 months5,564,94094.38Jul-23Sept–Oct 2023<3 monthsNBSNo.
Informed consent was obtained.
Yes39557113546YesYesEnumeration areasYesYesCSProYesSPSS, Stata, VCQI
192023 Democratic Republic of the Congo AFR 6–59 months6,454,490 (May)
7,359,339 (August)
5,273,383 (September)
103.6 (May)
85.7 (August)
101.1 (September)
Three phases: April, June and Aug 2023.October–December 2023 in Block 1, Phase 2 in Block 2 and part of Block 3 from January to March 2024, then Phase 3 in the rest of the provinces in March–April 2024.6 to 10 monthsIndependent consultantYesYes72810,9209627YesYesEnumeration areasYesYesCSProYesSPSS, EpIInfo
202023 Malawi AFR 9–59 months3,169,52282.4May-23Jun-23<3 monthsInternational consultant and NBSYesYes20547158485YesYesEnumeration areasYesYesCSProYesStata, VCQI
212023 Niger AFR 6–59 m or 9–59 m depending on district5,098,682105Dec 2022–Jan 2023Mar–April 20233 monthsIndependent consultantYesYes27053344655YesYesEnnumeration areasYesYesODKYesSPSS
222023 Nigeria AFR 9–59 months4,298,149 (October)
1,090,330 (November)
5,021,611 (December)
96.67 (October)
103.95 (November)
4,823,266 (December)
Oct 2023–Jan 2024Dec 2023–Jan 2024<3 monthsNBSNo. Informed consent was obtained.Yes740 (560 in 14 states plus 180 in 6 local area governments in Borno)73996987YesYesEnumeration areasYesYesCSProYesStata, VCQI
232023 Yemen ‡ EMR 6–59 months1,267,08391September–October 2023Oct-23<3 monthsResearch OrganizationYesYes154718,56429,549YesYesHarahsNoNoODKNoExcel
242024 Ethiopia AFR 98.7Dec 2022–April 2023Dec 2023–Jan 2024>1 yearResearch OrganizationYesYes127212,70215,763YesYesEnumeration areasYesSampling frame from NBSKobo ToolboxYesStata, VCQI
AFR = World Health Organization African Region; EMR = World Health Organization Middle Eastern Region; SEAR = World Health Organization South-East Asian Region NBS = National Bureau of Statistics; NA = not available; NR = not reported, but potentially available; VCQI = Vaccination Coverage Quality Indicators tool; † Areas considered secure; ‡ Subnational.
Table 2. Summary of main results of post-campaign coverage surveys (PCCSs) following measles supplementary immunization activities (SIAs) and related coverage levels.
Table 2. Summary of main results of post-campaign coverage surveys (PCCSs) following measles supplementary immunization activities (SIAs) and related coverage levels.
Results
#Year of PCCSCountryWHO RegionMCV1 Coverage in Year of Start of SIAAdmin Coverage %SIA Cards or
Finger Marking
Seen
SIA Coverage (95% CI)% Routine
Immunization (RI)
Cards Seen (Age Group
If Not All)
RI MCV1
Coverage %
(95% CI) (Age
Group If Not
All)
SIA Dose Was the
First MCV Dose
Received by Child
% (95%CI)
SIA
Coverage
Among
Zero-Dose %
(95%CI)
Child Remained
Measles Zero-Dose After SIA %
(95%CI)
12019 Democratic People’s Republic of Korea SEAR 98 99.7Almost all were verified by record in Primary Health Facility. Only recall were 7 children who had records in a different health facility99.9% (99.09–99.87)NA81% yes, 18.6% unsure, 0.4% noNRNANA
22019 Zimbabwe AFR 85 91NR78.7%
(77.35–
79.98)
NANANRNRNR
32020 Burkina Faso AFR 88 10638.7% (87.8% received one)84.4% (83.6–85.2%)93% 12–23 months
81% 24–35 months
87,8% 12–23 m
84.8% 24–35 m
NRNR4.80%
42020 Cameroon AFR 61 928.30%69.7% (68.34–71.01)NANR35.70%NRNR
52020 Ethiopia AFR 59 102.881.10%81.5%
(80.0–83.0%)
NA80.30%NR56.70%8.10%
62020 Uganda AFR 87 10748.5 (78.4% received one)94.4% (93.0–95.5)25.30%85.40%12.00%NR2.60%
72021 Central African Republic † AFR 41 102 for 6–59 m
85.5 for 5–10 yrs
25% (83% received one)94.6% (92.9–96.0%)NA25.2% 12–23 m
15.3% 24–35 m
NRNR3.40%
82021 Chad AFR 53 108.8 (Phase1)
107.5 (Phase2)
11% (19% reported not having received a card)77.4% (74.8–79.8%)NAAvailable as an analysis added later, not in main report.
41.1% 12–23 m
28.2% 24–35 m
NR73.5% (IC95%:70.2–76.5%)20% (IC95%: 17.6–22.5%)
92021 Democratic Republic of the Congo AFR 65 101.66.89%; 4.93% (correctly filled in)87.52% (87.50–87.53%)NR80.70%NR61.06%.7.61%
102021 Kenya ‡ AFR 90 111NR84.20%NANANR80.10%NR
112021 Nepal SEAR 87 10143%84% (82–87)
Phase 1: 87% (85–89)
phase 2: 81% (77–85)
51.40%95.50%Small sample size of previously zero-doseSmall sample size of previously zero-doseNR
122021 Pakistan EMR 81 10580%93.6% (92.7–94.4)47%71.5% (and 10% unkown status)
79% for children under 2 years
NRNRNR
132021 Zambia AFR 96 91.3NA68.90%63% had documented evidence88.5NANANA
142022 Burundi AFR 89 9315%88.60%91.8% 12–23 m
86.1% 24–35 m
85.90%NRNRNR
152022 Madagascar AFR 44 95.1156.30%65.3% (56.8–72.9)NA69.50%NRNR19.20%
162022 Somalia EMR 46 90NA86.0 (83.7–88.0)25% 12–2365%NR33.1%
14.1% 12–23 m
37.2% 24–35 m
NR
172022 or 2023 Syrian Arab Republic EMR 52 75.6254.40%80.7% (79.35%–81.94%)NA82.8 12–23 m
93.6 24–59 m
NR54.30%NR
182023 Cameroon AFR 71 94.3831.8% (84.9% received a card)69.5 (66.4–72.5)NANR22.10%62.30%13.3%
192023 Democratic Republic of the Congo AFR 52 103.6 (May)
85.7 (August)
101.1 (September)
12.88%94.60% (94.60%–94.61%)~3.5% (3.47% vaccinated by card seen)78.30%NR75.01%NA
202023 Malawi AFR 87 82.438.8%75.7% (72.3–79.0)NANRNR27.6% for 12–35 mNR
212023 Niger AFR 65 10571.8% (86.2% received one)92.7% (90.8–94.1)NANANR91.60%4.60%
222023 Nigeria AFR 60 96.67 (October)
103.95 (November)
4,823,266 (December)
47% card and 9.9% finger marking87% (84–90)NRNR12%NRNR
232023 Yemen ‡ EMR 45 91NA84.2% (95% CI: 83.8–84.6)NANRNR12%NR
242024 Ethiopia AFR 55 98.716%87.10%3940 (~25%)73.80%14.00%72%NR
AFR = World Health Organization African Region; EMR = World Health Organization Middle Eastern Region; SEAR = World Health Organization South-East Asian Region; NBS = National Bureau of Statistics; NA = not available; NR = not reported, but potentially available; † Areas considered secure; ‡ Subnational.
Table 3. Measles SIA vaccination coverage by previous vaccination status, children aged 24–35 months, Somalia (minus one large northern region) PCCS 2023.
Table 3. Measles SIA vaccination coverage by previous vaccination status, children aged 24–35 months, Somalia (minus one large northern region) PCCS 2023.
Number of Measles Vaccine Doses Prior to SIAVaccinated During SIA (%)95% CI (%)Vaccinated During SIA (Weighted N)Weighted N
Zero 37.2(31.8, 42.8)81217
1 Dose 92.8(89.5, 95.1)540582
2+ Doses 90.9(86.6, 94.0)812894
Somalia 2023 (Total) 84.7 (81.6, 87.3) 1433 1692
Table 4. Measles SIA coverage, the number of children in the sample, and the number of clusters, by state. Somalia (minus one large northern region) PCCS 2023.
Table 4. Measles SIA coverage, the number of children in the sample, and the number of clusters, by state. Somalia (minus one large northern region) PCCS 2023.
State% Vac’d During SIATotal # ChildrenTotal # of Clusters# Clusters with 100% Children vac’d’# Clusters with >50–99.9% Children vac’d# Clusters with ≤50% Children vac’dDEFFICC
Banadir89.83604741357411.70.2216
Galmudug86.13338761061510.80.1634
Hirshabelle82.643727617471228.50.4284
Jubbaland83.82781762939826.70.4465
Puntland88.63279731852314.00.2361
Southwest873542752048717.70.2791
Total 87 20,916 450 107 304 39 21.3 0.3116
DEFF: design effect; ICC: intra-cluster correlation coefficient. For PCCS, ICC values of 1/6 = 0.167 are considered conservative [21].
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Danovaro-Holliday, M.C.; Koh, M.; Steulet, C.; Rhoda, D.A.; Trimner, M.K. Lessons from Recent Measles Post-Campaign Coverage Surveys Worldwide. Vaccines 2024, 12, 1257. https://doi.org/10.3390/vaccines12111257

AMA Style

Danovaro-Holliday MC, Koh M, Steulet C, Rhoda DA, Trimner MK. Lessons from Recent Measles Post-Campaign Coverage Surveys Worldwide. Vaccines. 2024; 12(11):1257. https://doi.org/10.3390/vaccines12111257

Chicago/Turabian Style

Danovaro-Holliday, M. Carolina, Mitsuki Koh, Claudia Steulet, Dale A. Rhoda, and Mary Kay Trimner. 2024. "Lessons from Recent Measles Post-Campaign Coverage Surveys Worldwide" Vaccines 12, no. 11: 1257. https://doi.org/10.3390/vaccines12111257

APA Style

Danovaro-Holliday, M. C., Koh, M., Steulet, C., Rhoda, D. A., & Trimner, M. K. (2024). Lessons from Recent Measles Post-Campaign Coverage Surveys Worldwide. Vaccines, 12(11), 1257. https://doi.org/10.3390/vaccines12111257

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