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

机译:疫苗接种对孟加拉国乙型肝炎病毒引起的感染和死亡率影响的动态数学建模启示

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摘要

Attainment 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.
机译:要实现可持续发展目标(SDG),就需要在2030年前将新的乙型肝炎病毒(HBV)引起的感染率和死亡率分别降低至90%和65%。因此,研究降低感染的可行性非常重要按照孟加拉国目前的疫苗接种率,所需的乙肝病毒感染和死亡事件发生率。此外,影响疫苗接种覆盖率的因素(如免疫过程中对女孩的负面偏见)可能会影响当前的疫苗接种计划,并最终阻碍减少HBV引起的感染和死亡率的努力。为了研究在当前疫苗接种覆盖率下降低HBV引起的感染和死亡率的可能性,我们采用了基于数学模制的方法。

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