Evidence map›Paper›PMID 38993707›Full record

ArticleFrontiers in public health2024

Modeling hepatitis A epidemiological profiles and estimating the pediatric vaccination threshold in the Russian Federation.

Fedor F Taratorkin, Anastasia A Karlsen, Karen K Kyuregyan, Maria A Lopatukhina, Farhad Khankishiyev, Victor A Manuylov, Vasiliy G Akimkin, Mikhail I Mikhailov

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Fedor F TaratorkinMechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Anastasia A KarlsenMechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Karen K KyuregyanMechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Maria A LopatukhinaMechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Farhad KhankishiyevFaculty of Public Health, Organization and Sociology of Healthcare and Medical-Social Expertise, Moscow, Russia.
Victor A ManuylovGamaleya National Research Center for Epidemiology and Microbiology, Moscow, Russia.
Vasiliy G AkimkinCentral Research Institute of Epidemiology, Moscow, Russia.
Mikhail I MikhailovMechnikov Research Institute of Vaccines and Sera, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To combat the hesitancy towards implementing a hepatitis A universal mass vaccination (UMV) strategy and to provide healthcare authorities with a comprehensive analysis of the potential outcomes and benefits of the implementation of such a vaccination program, we projected HAV seroprevalence and incidence rates in the total population of the Russian Federation and estimated the pediatric vaccination threshold required to achieve an incidence level of less than 1 case per 100,000 using a new mathematical model. Methods: A dynamic age-structured SEIRV (susceptible-exposed-infectious-recovered-vaccinated) compartmental model was developed and calibrated using demographic, seroprevalence, vaccination, and epidemiological data from different regions of the Russian Federation. This model was used to project various epidemiological measures. Results: The projected national average age at the midpoint of population immunity increases from 40 years old in 2020 to 50 years old in 2036 and is shifted even further to the age of 70 years in some regions of the country. An increase of varying magnitude in the incidence of symptomatic HAV infections is predicted for all study regions and for the Russian Federation as a whole between 2028 and 2032, if the HAV vaccination coverage level remains at the level of 2022. The national average vaccination coverage level required to achieve a symptomatic HAV incidence rate below 1 case per 100,000 by 2032 was calculated to be 69.8% if children aged 1-6 years are vaccinated following the implementation of a UMV program or 34.8% if immunization is expanded to children aged 1-17 years. Conclusion: The developed model provides insights into a further decline of herd immunity to HAV against the background of ongoing viral transmission. The current favorable situation regarding hepatitis A morbidity is projected to be replaced by an increase in incidence rates if vaccination coverage remains at the current levels. The obtained results support the introduction of a hepatitis A UMV strategy in the Russian Federation.

Indexed as

Hepatitis AHepatitis A VaccinesAdolescentAdultAgedChildChild, PreschoolFemaleHumansIncidenceInfantMaleMass VaccinationMiddle AgedModels, TheoreticalRussiaHepatitis A VaccinesHAVhepatitis Ahepatitis A vaccinationherd immunitymathematical model

Identifiers

PMID38993707
PMCPMC11236541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.