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


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2024
Historique:
received: 17 01 2024
accepted: 17 06 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 38993707
doi: 10.3389/fpubh.2024.1371996
pmc: PMC11236541
doi:

Substances chimiques

Hepatitis A Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1371996

Informations de copyright

Copyright © 2024 Taratorkin, Karlsen, Kyuregyan, Lopatukhina, Khankishiyev, Manuylov, Akimkin and Mikhailov.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Fedor F Taratorkin (FF)

Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.

Anastasia A Karlsen (AA)

Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Central Research Institute of Epidemiology, Moscow, Russia.

Karen K Kyuregyan (KK)

Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Central Research Institute of Epidemiology, Moscow, Russia.

Maria A Lopatukhina (MA)

Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Central Research Institute of Epidemiology, Moscow, Russia.

Farhad Khankishiyev (F)

Faculty of Public Health, Organization and Sociology of Healthcare and Medical-Social Expertise, Moscow, Russia.

Victor A Manuylov (VA)

Gamaleya National Research Center for Epidemiology and Microbiology, Moscow, Russia.

Vasiliy G Akimkin (VG)

Central Research Institute of Epidemiology, Moscow, Russia.

Mikhail I Mikhailov (MI)

Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
Central Research Institute of Epidemiology, Moscow, Russia.

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Classifications MeSH