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Assessing the dynamics and impact of COVID-19 vaccination on disease spread:A data-driven approach

Farhad Waseel George Streftaris Bhuvendhraa Rudrusamy Sarat C.Dass

传染病建模（英文）2024，Vol.9Issue(2)：527-556,30.

传染病建模（英文）2024，Vol.9Issue(2)：527-556,30.DOI:10.1016/j.idm.2024.02.010

Assessing the dynamics and impact of COVID-19 vaccination on disease spread:A data-driven approach

Farhad Waseel ¹George Streftaris ²Bhuvendhraa Rudrusamy ³Sarat C.Dass⁴

作者信息

1. School of Mathematical and Computer Sciences,Heriot-Watt University Malaysia,Putrajaya,Malaysia||Faculty of Mathematics,Kabul University,Kabul,Afghanistan
2. School of Mathematical and Computer Sciences,Heriot-Watt University,Edinburgh,United Kingdom||Maxwell Institute for Mathematical Sciences,United Kingdom
3. School of Engineering and Physical Sciences,Heriot-Watt University Malaysia,Putrajaya,Malaysia
4. School of Mathematical and Computer Sciences,Heriot-Watt University Malaysia,Putrajaya,Malaysia
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摘要

关键词

Bayesian inference/SEIRV/COVID-19/Vaccination policy/Importance sampling/Malaysia/Data-driven

Key words

Bayesian inference/SEIRV/COVID-19/Vaccination policy/Importance sampling/Malaysia/Data-driven

引用本文复制引用

Farhad Waseel,George Streftaris,Bhuvendhraa Rudrusamy,Sarat C.Dass..Assessing the dynamics and impact of COVID-19 vaccination on disease spread:A data-driven approach[J].传染病建模（英文）,2024,9(2):527-556,30.

基金项目

This work was funded by the James Watt PhD Scholarship program supported by Heriot-Watt University.The funders had no role in the design of the study,the collection,analysis,and interpretation of data,or the writing of the manuscript. （）

传染病建模（英文）

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