Evidence map›Paper›PMID 39856652›Full record

ArticleBMC public health2025

Assessing the use of geospatial data for immunization program implementation and associated effects on coverage and equity in the Democratic Republic of Congo.

Dosithée Ngo-Bebe, Patricia Mechael, Fulbert Nappa Kwilu, Théophane Kekemb Bukele, Félicité Langwana, Genèse Lolimo Lobukulu, Marcelo Ilunga Kalonji, Bahindwa Kalalizi, Kevin Tschirhart, Christophe Lungayo Luhata and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dosithée Ngo-BebeKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Patricia Mechaelhealth.enabled, 3147 Tennyson St NW, Washington, DC, 20015, USA. patty@healthenabled.org.
Fulbert Nappa KwiluKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Théophane Kekemb BukeleKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Félicité LangwanaDepartment of Social Science, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Genèse Lolimo LobukuluKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Marcelo Ilunga KalonjiKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Bahindwa Kalalizihealth.enabled, 3147 Tennyson St NW, Washington, DC, 20015, USA.
Kevin TschirhartEarth Institute, Columbia University, New York City, USA.
Christophe Lungayo LuhataNational Expanded Program on Immunization, Ministry of Health, Kinshasa, Democratic Republic of Congo.
Carine GachenGavi, The Vaccine Alliance, Geneva, Switzerland.

Funding

GAVI Alliance M&E 9855 3 21 A3
6 · The paper itself

Abstract

backgroundThe National Expanded Program on Immunization in the Democratic Republic of the Congo implemented a program in 9 Provinces to generate georeferenced immunization microplans to strengthen the planning and implementation of vaccination services. The intervention aimed to improve identification and immunization of zero-dose children and overall immunization coverage.

methodsThis study applies a mixed-methods design including survey tools, in-depth interviews and direct observation to document the uptake, use, and acceptance of the immunization microplans developed with geospatial data in two intervention provinces and one control province from February to June 2023. A total of 113 health facilities in 98 Health Areas in 15 Health Zones in the three provinces were included in the study sample. Select providers received training on gender-intentional approaches for the collection and use of geospatial data which was evaluated through a targeted qualitative study. A secondary analysis of immunization coverage survey data (2020-2022) was conducted to assess the associated effects on immunization coverage, especially changes in rates of zero dose children, defined as those aged 12-23 months who have not received a single dose of Pentavalent vaccine.

resultsThis research study shows that georeferenced microplans are well received, utilized, and led to changes in routine immunization service planning and delivery. In addition, the gender intervention is perceived to have led to changes in the approaches taken to overcome sociocultural gender norms and engage communities to reach as many children as possible, leveraging the ability of women to engage more effectively to support vaccination services. The quantitative analyses showed that georeferenced microplans may have contributed to a dramatic and sustained trend of high immunization coverage in the intervention site of Haut-Lomami, which saw dramatic improvement in coverage for 3 antigens and little change in Pentavalent drop-out rate over three years of implementation.

conclusionThe overall study identified positive contributions of the georeferenced data in the planning and delivery of routine immunization services. It is recommended to conduct further analyses in Kasai in 2024 and 2025 to evaluate the longer-term effects of the gender intervention on immunization coverage and equity outcomes.

trial registrationThe study was registered and given BMC Central International Standard. Randomised Controlled Trial Number ISRCTN65876428 on March 11, 2021.

Indexed as

Health EquityImmunization ProgramsVaccination CoverageDemocratic Republic of the CongoFemaleHumansInfantMaleDemocratic republic of the congoExpanded program for immunizationGeospatial dataImmunization coverageImmunization equityMapping for healthMicroplanningRoutine immunizationVaccine coverage surveyZero dose

Identifiers

PMID39856652
PMCPMC11763145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.