Assessing the impact of booster vaccination on diphtheria transmission:Mathematical modeling and risk zone mapping  

作　　者：Ilham Saiful Fauzi Nuning Nuraini Ade Maya Sari Imaniah Bazlina Wardani Delsi Taurustiati Purnama Magdalena Simanullang Bony Wiem Lestari 

机构地区：[1]Department of Accounting,Politeknik Negeri Malang,Malang,Indonesia [2]Department of Mathematics,Faculty of Mathematics and Natural Sciences,Institut Teknologi Bandung,Bandung,Indonesia [3]Center for Mathematical Modeling and Simulation,Institut Teknologi Bandung,Bandung,Indonesia [4]Study Program of Biology Education,Faculty of Education and Teacher Training,UIN Kiai Haji Achmad Siddiq Jember,Jember,Indonesia [5]West Java Provincial Health Office,West Java,Indonesia [6]Department of Public Health,Faculty of Medicine,Universitas Padjadjaran,Bandung,Indonesia [7]Department of Internal Medicine,Radboud Institute for Health Sciences,Radboud University Medical Centre,Nijmegen,the Netherlands

出　　处：《Infectious Disease Modelling》2024年第1期245-262,共18页传染病建模（英文）

基　　金：funded by Institut Teknologi Bandung(Research Grant ITB 2024).

摘　　要：The COVID-19 pandemic caused significant disruptions in the healthcare system,affecting vaccinations and the management of diphtheria cases.As a consequence of these disruptions,numerous countries have experienced a resurgence or an increase in diphtheria cases.West Java province in Indonesia is identified as one of the high-risk areas for diphtheria,experiencing an upward trend in cases from 2021 to 2023.To analyze the situation,we developed an SIR model,which integrated DPT and booster vaccinations to determine the basic reproduction number,an essential parameter for infectious diseases.Through spatial analysis of geo-referenced data,we identified hotspots and explained diffusion in diphtheria case clusters.The calculation of R0 resulted in an R0=1.17,indicating the potential for a diphtheria outbreak in West Java.To control the increasing cases,one possible approach is to raise the booster vaccination coverage from the current 64.84%to 75.15%,as suggested by simulation results.Furthermore,the spatial analysis revealed that hot spot clusters were present in the western,central,and southern regions,posing a high risk not only in densely populated areas but also in rural regions.The diffusion pattern of diphtheria clusters displayed an expansion-contagious pattern.Understanding the rising trend of diphtheria cases and their geographic distribution can offer crucial insights for government and health authorities to manage the number of diphtheria cases and make informed decisions regarding the best prevention and intervention strategies.

关 键 词：DIPHTHERIA VACCINATION Mathematical modeling SIR model Hot spot analysis 

分 类 号：R186[医药卫生—流行病学]