Evidence map›Paper›PMID 32117696›Full record

ArticleEuroasian journal of hepato-gastroenterology

A Dynamic Mathematical Modeling Revelation about the Impact of Vaccination on Hepatitis B Virus-induced Infection and Death Rate in Bangladesh.

Sajib Chakraborty, Rajib Chakravorty, Saruar Alam, Yearul Kabir, Musarrat Mahtab, Md Atikul Islam, Md Abul Khair Yusuf, Ruksana Raihan, Mamun Al Mahtab, Sheikh Mohammad Fazle Akbar

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Article in Euroasian journal of hepato-gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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10 authors.

Sajib ChakrabortyDepartment of Biochemistry and Molecular Biology, Translational Systems Biology Laboratory, University of Dhaka, Bangladesh.
Rajib ChakravortyDepartment of Applied and Photonics, University of Sydney, Sydney, Australia.
Saruar AlamDepartment of Biochemistry and Molecular Biology, Translational Systems Biology Laboratory, University of Dhaka, Bangladesh.
Yearul KabirDepartment of Biochemistry and Molecular Biology, Translational Systems Biology Laboratory, University of Dhaka, Bangladesh.
Musarrat MahtabForum for the Study of the Liver, Dhaka, Bangladesh.
Md Atikul IslamDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Md Abul Khair YusufDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Ruksana RaihanDepartment of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Mamun Al MahtabDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Sheikh Mohammad Fazle AkbarDepartment of Pathology, Proteo-Science Center, Ehime University Graduate School of Medicine, Ehime, Japan.

Funding

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6 · The paper itself

Abstract

aimAttainment of sustainable development goal (SDG) targets requires reducing the rate of new hepatitis B virus (HBV)-induced infection and mortality rate to 90% and 65%, respectively, by 2030. Therefore, it is important to investigate the feasibility of reducing the required rates of HBV-induced infection and death incidents at the current rate of vaccination coverage in Bangladesh. Moreover, factors influencing vaccination coverage like negative bias toward girls during immunization can affect the current vaccination program and ultimately hinder the efforts to reduce HBV-induced infection and death rates. To investigate the possibility of reducing HBV-induced infection and death rates with current vaccination coverage, we adopted mathematical molding-based approach. MATERIALS AND

methodsWe developed a mathematical model based on the susceptible-infectious-recovered model to simulate the HBV-induced infection in children under the age of five at three different vaccination rates: 80, 90, and 95%. Additionally the impact of current vaccination coverage was assessed on HBV-induced death rates in the future. Moreover, we took advantage of the mathematical model to investigate the impact of negative bias toward girls in vaccination program on HBV-induced infection and death rates.

resultsThe model simulations revealed that 10% increase in the vaccination rate from 80 to 90% can potentially contribute to the significant lowering (around 40%) of HBV-induced infection rate among children. When increased by 5% of vaccination rate from 90 to 95%, the HBV-infection rate is likely to be decreased by another 22%. Likewise, 44% reduction in HBV-induced death rate in the future (2050 onward) can potentially be achieved by 10% increase in the current vaccination rate from 80 to 90%, whereas 5% increase in the current vaccination rate (90-95%) may lead to 24% further reduction of death rate. These results underscored the significant impact of vaccination in reducing HBV-induced infection among children and future death rates in adults. Moreover, at 90% vaccination coverage, the negative bias of vaccination toward girls contributes to an increase of 15 and 12% of HBV-induced infection and death rates, respectively, in female subjects compared to their male counterparts.

conclusionThe current vaccination coverage (80-90%) is further aggravated by untimely vaccination, dropouts from vaccination program, and negative bias toward girls in vaccination program. Therefore, if the current situation persists, it will not be possible to accomplish the required reduction in HBV-induced infection and death rates by 2030, according to the SDG guidelines. Moreover negative bias in the vaccination program may intensify the HBV-induced infection and death rates in the future. CLINICAL SIGNIFICANCE: In light of the mathematical model, we suggest that the vaccination coverage should be increased to 95% without any negative bias toward girls. To accomplish this, the concerning authorities must ensure timely and full completion of the HBV vaccine schedules, reducing dropouts from vaccination program, and lastly preventing negative bias toward girls to uplift vaccination coverage to more than 95% with gender equality. Without these strategies, the necessary reduction in the HBV-induced infection and death rates in Bangladesh may not be attained per SDG directives. HOW TO CITE THIS ARTICLE: Chakraborty S, Chakravorty R, Alam S,

Indexed as

Hepatitis B virusImmunizationMathematical modelTarget

Identifiers

PMID32117696
PMCPMC7047315

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