Evidence map›Paper›PMID 32513513›Full record

ArticleVaccine2020

Modeling of rotavirus transmission dynamics and impact of vaccination in Ghana.

Ernest O Asare, Mohammad A Al-Mamun, George E Armah, Benjamin A Lopman, Umesh D Parashar, Fred Binka, Virginia E Pitzer

Abstract read
In one paragraph

Article in Vaccine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  8. Impact of dosing schedules on performance of rotavirus vaccines in Ghana.medRxiv : the preprint server for health sciences · 2024
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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

7 authors.

Ernest O AsareDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA. Electronic address: ernest.asare@yale.edu.
Mohammad A Al-MamunDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.
George E ArmahNoguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Benjamin A LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Umesh D ParasharEpidemiology Branch, Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Fred BinkaUniversity of Health and Allied Health Sciences, Ho, Ghana.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.

Funding

Modeling the impact and cost-effectiveness of next-generation rotavirus vaccine strategies in low- and middle-income countriesR01AI112970 · NIAID · YALE UNIVERSITY · PI PITZER, VIRGINIA E · 2015 to 2024
$4.1M
NIAID NIH HHS R01 AI112970
6 · The paper itself

Abstract

backgroundRotavirus incidence remains relatively high in low-income countries (LICs) compared to high-income countries (HICs) after vaccine introduction. Ghana introduced monovalent rotavirus vaccine in April 2012 and despite the high coverage, vaccine performance has been modest compared to developed countries. The predictors of low vaccine effectiveness in LICs are poorly understood, and the drivers of subnational heterogeneity in rotavirus vaccine impact are unknown.

methodsWe used mathematical models to investigate variations in rotavirus incidence in children <5 years old in Ghana. We fit models to surveillance and case-control data from three different hospitals: Korle-Bu Teaching Hospital in Accra, Komfo Anokye Teaching Hospital in Kumasi, and War Memorial Hospital in Navrongo. The models were fitted to both pre- and post-vaccine data to estimate parameters describing the transmission rate, waning of maternal immunity, and vaccine response rate.

resultsThe seasonal pattern and age distribution of rotavirus cases varied among the three study sites in Ghana. Our model was able to capture the spatio-temporal variations in rotavirus incidence across the three sites and showed good agreement with the age distribution of observed cases. The rotavirus transmission rate was highest in Accra and lowest in Navrongo, while the estimated duration of maternal immunity was longer (~5 months) in Accra and Kumasi and shorter (~3 months) in Navrongo. The proportion of infants who responded to the vaccine was estimated to be high in Accra and Kumasi and low in Navrongo.

conclusionsRotavirus vaccine impact varies within Ghana. A low vaccine response rate was estimated for Navrongo, where rotavirus is highly seasonal and incidence limited to a few months of the year. Our findings highlight the need to further explore the relationship between rotavirus seasonality, maternal immunity, and vaccine response rate to determine how they influence vaccine effectiveness and to develop strategies to improve vaccine impact.

Indexed as

RotavirusRotavirus InfectionsRotavirus VaccinesChildChild, PreschoolGhanaHumansInfantVaccinationRotavirus VaccinesGhanaMaternal immunityRotavirusTransmission rateVaccine impactVaccine response rate

Identifiers

PMID32513513
PMCPMC8290434

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.