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Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach

BACKGROUND: Hepatitis B (HB) is a virus which causes a potentially fatal liver infection. It is a DNA virus belonging to the Hepadnaviridae virus family. Africa, after Asia, has the second highest number of chronic HBV carriers and is considered a high-endemic region. Ethiopia is classified as a cou...

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Autores principales: Anley, Denekew Tenaw, Dagnaw, Mequanente, Belay, Daniel Gashaneh, Tefera, Dawit, Tessema, Zemenu Tadesse, Molla, Ayenew, Jemal, Sebwedin Surur, Zewde, Edget Abebe, Azanaw, Melkalem Mamuye, Aragie, Getachew, Melsew, Yayehirad Alemu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233892/
https://www.ncbi.nlm.nih.gov/pubmed/37259048
http://dx.doi.org/10.1186/s12879-023-08343-4
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author Anley, Denekew Tenaw
Dagnaw, Mequanente
Belay, Daniel Gashaneh
Tefera, Dawit
Tessema, Zemenu Tadesse
Molla, Ayenew
Jemal, Sebwedin Surur
Zewde, Edget Abebe
Azanaw, Melkalem Mamuye
Aragie, Getachew
Melsew, Yayehirad Alemu
author_facet Anley, Denekew Tenaw
Dagnaw, Mequanente
Belay, Daniel Gashaneh
Tefera, Dawit
Tessema, Zemenu Tadesse
Molla, Ayenew
Jemal, Sebwedin Surur
Zewde, Edget Abebe
Azanaw, Melkalem Mamuye
Aragie, Getachew
Melsew, Yayehirad Alemu
author_sort Anley, Denekew Tenaw
collection PubMed
description BACKGROUND: Hepatitis B (HB) is a virus which causes a potentially fatal liver infection. It is a DNA virus belonging to the Hepadnaviridae virus family. Africa, after Asia, has the second highest number of chronic HBV carriers and is considered a high-endemic region. Ethiopia is classified as a country with a high prevalence of viral hepatitis and with nations that lack a systematic strategy for viral hepatitis surveillance. METHODS: S-I-C-R deterministic model was developed and the numerical simulations were done in “R” statistical and programming software. Fixed population assumption was considered so as to develop a simple model which could predict the HBV vertical transmission for the next 5 decades. RESULTS: The model revealed that significant number of populations will be infected and become carrier till the end the next 49 years even though it has decreasing trend. It was predicted that 271,719 people will die of HBV complications if no intervention will be made on its vertical transmission. The sensitivity analysis result showed that the force of infection has the most important parameter in the vertical transmission dynamics of hepatitis B. Provision of hepatitis B immunoglobulin (HBVIG) and vaccines at the time of delivery could decrease the force of infection by more than half and 51,892 lives will be saved if the intervention is offered for 50% of deliveries in Ethiopia. CONCLUSION: Despite the fact that the incidence of HBV vertical transmission is substantial, it is expected to decline during the next five decades. However, the situation necessitates immediate attention, since it results in thousands of deaths if no action is taken. Offering HBVIG and vaccinations to the 50% of infants can save many lives and reduces the force of infection by more than a half. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08343-4.
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spelling pubmed-102338922023-06-02 Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach Anley, Denekew Tenaw Dagnaw, Mequanente Belay, Daniel Gashaneh Tefera, Dawit Tessema, Zemenu Tadesse Molla, Ayenew Jemal, Sebwedin Surur Zewde, Edget Abebe Azanaw, Melkalem Mamuye Aragie, Getachew Melsew, Yayehirad Alemu BMC Infect Dis Research BACKGROUND: Hepatitis B (HB) is a virus which causes a potentially fatal liver infection. It is a DNA virus belonging to the Hepadnaviridae virus family. Africa, after Asia, has the second highest number of chronic HBV carriers and is considered a high-endemic region. Ethiopia is classified as a country with a high prevalence of viral hepatitis and with nations that lack a systematic strategy for viral hepatitis surveillance. METHODS: S-I-C-R deterministic model was developed and the numerical simulations were done in “R” statistical and programming software. Fixed population assumption was considered so as to develop a simple model which could predict the HBV vertical transmission for the next 5 decades. RESULTS: The model revealed that significant number of populations will be infected and become carrier till the end the next 49 years even though it has decreasing trend. It was predicted that 271,719 people will die of HBV complications if no intervention will be made on its vertical transmission. The sensitivity analysis result showed that the force of infection has the most important parameter in the vertical transmission dynamics of hepatitis B. Provision of hepatitis B immunoglobulin (HBVIG) and vaccines at the time of delivery could decrease the force of infection by more than half and 51,892 lives will be saved if the intervention is offered for 50% of deliveries in Ethiopia. CONCLUSION: Despite the fact that the incidence of HBV vertical transmission is substantial, it is expected to decline during the next five decades. However, the situation necessitates immediate attention, since it results in thousands of deaths if no action is taken. Offering HBVIG and vaccinations to the 50% of infants can save many lives and reduces the force of infection by more than a half. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08343-4. BioMed Central 2023-05-31 /pmc/articles/PMC10233892/ /pubmed/37259048 http://dx.doi.org/10.1186/s12879-023-08343-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Anley, Denekew Tenaw
Dagnaw, Mequanente
Belay, Daniel Gashaneh
Tefera, Dawit
Tessema, Zemenu Tadesse
Molla, Ayenew
Jemal, Sebwedin Surur
Zewde, Edget Abebe
Azanaw, Melkalem Mamuye
Aragie, Getachew
Melsew, Yayehirad Alemu
Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title_full Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title_fullStr Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title_full_unstemmed Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title_short Modelling of Hepatitis B Virus vertical transmission dynamics in Ethiopia: a compartmental modelling approach
title_sort modelling of hepatitis b virus vertical transmission dynamics in ethiopia: a compartmental modelling approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233892/
https://www.ncbi.nlm.nih.gov/pubmed/37259048
http://dx.doi.org/10.1186/s12879-023-08343-4
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