University of Pittsburgh, Pittsburgh, PA 15213, USA.
Vaccine. 2012 Jun 22;30(30):4517-23. doi: 10.1016/j.vaccine.2012.04.041. Epub 2012 Apr 24.
When policymakers make decision about the target populations and timing of influenza vaccination, they may not consider the impact on the vaccine supply chains, which may in turn affect vaccine availability.
Our goal is to explore the effects on the Thailand vaccine supply chain of introducing influenza vaccines and varying the target populations and immunization time-frames.
We Utilized our custom-designed software HERMES (Highly Extensible Resource for Modeling Supply Chains), we developed a detailed, computational discrete-event simulation model of the Thailand's National Immunization Program (NIP) supply chain in Trang Province, Thailand. A suite of experiments simulated introducing influenza vaccines for different target populations and over different time-frames prior to and during the annual influenza season.
Introducing influenza vaccines creates bottlenecks that reduce the availability of both influenza vaccines as well as the other NIP vaccines, with provincial to district transport capacity being the primary constraint. Even covering only 25% of the Advisory Committee on Immunization Practice-recommended population while administering the vaccine over six months hinders overall vaccine availability so that only 62% of arriving patients can receive vaccines. Increasing the target population from 25% to 100% progressively worsens these bottlenecks, while increasing influenza vaccination time-frame from 1 to 6 months decreases these bottlenecks.
Since the choice of target populations for influenza vaccination and the time-frame to deliver this vaccine can substantially affect the flow of all vaccines, policy-makers may want to consider supply chain effects when choosing target populations for a vaccine.
当政策制定者决定流感疫苗的目标人群和接种时间时,他们可能没有考虑到这对疫苗供应链的影响,而这反过来又可能影响疫苗的供应。
我们的目标是探讨在引入流感疫苗以及改变目标人群和免疫时间框架的情况下,对泰国疫苗供应链的影响。
我们利用我们自主设计的 HERMES(高度可扩展的供应链建模资源)软件,建立了泰国春蓬府国家免疫规划(NIP)供应链的详细、计算离散事件模拟模型。一系列实验模拟了在年度流感季节之前和期间,为不同的目标人群和不同的时间段引入流感疫苗的情况。
引入流感疫苗会造成瓶颈,减少流感疫苗和其他 NIP 疫苗的供应,省级到地区的运输能力是主要的限制因素。即使只覆盖免疫实践咨询委员会建议人群的 25%,并且在六个月内接种疫苗,也会阻碍整体疫苗的供应,以至于只有 62%的到达患者能够接种疫苗。将目标人群从 25%增加到 100%会逐渐加剧这些瓶颈,而将流感疫苗接种时间框架从 1 个月延长至 6 个月则会减少这些瓶颈。
由于流感疫苗的目标人群选择和接种时间框架会对所有疫苗的流动产生重大影响,政策制定者在选择疫苗的目标人群时可能需要考虑供应链的影响。