Evidence map›Paper›PMID 38969540›Full record

ArticleVaccine2024

Estimation of the poliovirus type 2 immunity gap in South Africa.

Lauren Brown, Jeremy Bingham, Juliet Pulliam, Zinhle Mthombothi, Tumelo Sereo, Mercy Kamupira, Sonia Botha, Koko Molema, Elizabeth Maseti, Marione Schönfeldt and 5 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Lauren BrownSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Jeremy BinghamSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa. Electronic address: jeremyb@sun.ac.za.
Juliet PulliamSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Zinhle MthombothiSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Tumelo SereoSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Mercy KamupiraUNICEF, South Africa.
Sonia BothaWestern Cape Department of Health, Expanded Programme on Immunisation, City of Cape Town, South Africa.
Koko MolemaNational Department of Health, Expanded Programme on Immunisation, Pretoria, South Africa.
Elizabeth MasetiNational Department of Health, Expanded Programme on Immunisation, Pretoria, South Africa.
Marione SchönfeldtNational Department of Health, Expanded Programme on Immunisation, Pretoria, South Africa.
Nicoletta MabhenaRight to Care, Centurion, Pretoria, South Africa.
Nishi Prabdial-SingNational Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.
Anne von GottbergNational Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.
Kerrigan McCarthyNational Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.
Cari van SchalkwykSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of polio eradication efforts, accurate assessment of vaccination programme effectiveness is essential to public health planning and decision making. Such assessments are often based on zero-dose children, estimated using the number of children who did not receive the first dose of the Diphtheria-Tetanus-Pertussis containing vaccine as a proxy. Our study introduces a novel approach to directly estimate the number of children susceptible to poliovirus type 2 (PV2) and uses this approach to provide district-level estimates for South Africa of susceptible children born between 2017 and 2022. We used district-level data on annual doses of inactivated poliovirus vaccine (IPV) administered, live births, and population sizes, from 2017 through 2022. We imputed missing vaccination data, implemented flexible assumptions regarding dose distribution in the eligible population, and used estimated efficacy values for one, two, three, and four doses of IPV, to compute the number of susceptible and immune children by birth year. We validated our approach by comparing an intermediary output with zero-dose children (ZDC) estimated using data reported by WHO/UNICEF Estimates of National Immunization Coverage (WUENIC). Our results indicate high heterogeneity in susceptibility to PV2 across South Africa's 52 districts as of the end of 2022. In children under 5 years, PV2 susceptibility ranged from approximately 30 % in districts including Xhariep (31.9 %), Ekurhuleni (30.1 %), and Central Karoo (29.8 %), to less than 4 % in Sarah Baartman (1.9 %), Buffalo City (2.1 %), and eThekwini (3.2 %). Our susceptibility estimates were consistently higher than ZDC over the timeframe. We estimated that ZDC decreased nationally from 155,168 (152,737-158,523) in 2017 to 108,593 in 2021, and increased to 127,102 in 2022, a trend consistent with ZDC derived from data reported by WUENIC. While our approach provides a more comprehensive profile of PV2 susceptibility, our susceptibility and ZDC estimates generally agree in the ranking of districts according to risk.

Indexed as

Disease EradicationImmunization ProgramsPoliomyelitisPoliovirusPoliovirus Vaccine, InactivatedVaccination CoverageChild, PreschoolHumansInfantSouth AfricaVaccinationVaccine EfficacyPoliovirus Vaccine, InactivatedImmunityIPVPoliovirusSouth AfricaVaccinationZero-dose children

Identifiers

PMID38969540
PMCPMC11413476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.