Evidence map›Paper›PMID 38811269›Full record

ArticleVaccine2024

The impact of sub-national heterogeneities in demography and epidemiology on the introduction of rubella vaccination programs in Nigeria.

Taishi Nakase, Tenley Brownwright, Oyeladun Okunromade, Abiodun Egwuenu, Oladipo Ogunbode, Bola Lawal, Kayode Akanbi, Gavin Grant, Orji O Bassey, Melissa M Coughlin and 4 more

Abstract read
In one paragraph

Article in Vaccine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

14 authors.

Taishi NakaseDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Tenley BrownwrightDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.
Oyeladun OkunromadeNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
Abiodun EgwuenuNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
Oladipo OgunbodeNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
Bola LawalNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
Kayode AkanbiNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
Gavin GrantGlobal Immunization Division, US Centers for Disease Control and Prevention, Abuja, FCT, Nigeria.
Orji O BasseyDivision of Global HIV and Tuberculosis, US Centers for Disease Control and Prevention, Abuja, FCT, Nigeria.
Melissa M CoughlinDivision of Viral Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Bettina BankampDivision of Viral Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ifedayo AdetifaNigeria Centre for Disease Control and Prevention, Abuja, FCT, Nigeria.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
Matthew FerrariDepartment of Biology, The Pennsylvania State University, University Park, PA, USA. Electronic address: mjf283@psu.edu.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Rubella infection during pregnancy can result in miscarriage or infants with a constellation of birth defects known as congenital rubella syndrome (CRS). When coverage is inadequate, rubella vaccination can increase CRS cases by increasing the average age of infection. Thus, the World Health Organisation recommends that countries introducing rubella vaccine be able to vaccinate at least 80% of each birth cohort. Previous studies have focused on national-level analyses and have overlooked sub-national variation in introduction risk. We characterised the sub-national heterogeneity in rubella transmission within Nigeria and modelled local rubella vaccine introduction under different scenarios to refine the set of conditions and strategies required for safe rubella vaccine use. Across Nigeria, the basic reproduction number ranged from 2.6 to 6.2. Consequently, the conditions for safe vaccination varied across states with low-risk areas requiring coverage levels well below 80 %. In high-risk settings, inadequate routine coverage needed to be supplemented by campaigns that allowed for gradual improvements in vaccination coverage over time. Understanding local heterogeneities in both short-term and long-term epidemic dynamics can permit earlier nationwide introduction of rubella vaccination and identify sub-national areas suitable for program monitoring, program improvement and campaign support.

Indexed as

Immunization ProgramsRubellaRubella VaccineVaccination CoverageAdolescentAdultDemographyFemaleHumansInfantMaleNigeriaPregnancyRubella Syndrome, CongenitalVaccinationYoung AdultRubella VaccineCampaignsCongenital rubella syndromeRubellaSeroprevalenceVaccine coverage

Identifiers

PMID38811269
PMCPMC11792317

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.