TY - JOUR
T1 - How influenza vaccination policy may affect vaccine logistics
AU - Assi, Tina Marie
AU - Rookkapan, Korngamon
AU - Rajgopal, Jayant
AU - Sornsrivichai, Vorasith
AU - Brown, Shawn T.
AU - Welling, Joel S.
AU - Norman, Bryan A.
AU - Connor, Diana L.
AU - Chen, Sheng I.
AU - Slayton, Rachel B.
AU - Laosiritaworn, Yongjua
AU - Wateska, Angela R.
AU - Wisniewski, Stephen R.
AU - Lee, Bruce Y.
N1 - Funding Information:
This study was supported by the Vaccine Modeling Initiative (VMI), funded by the Bill and Melinda Gates Foundation and the National Institute of General Medical Sciences Models of Infectious Disease Agent Study (MIDAS) grant 1U54GM088491-0109 . The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. We would like to acknowledge members of the SVRT: Ms. Chayanit Phetcharat, Mr. Somkit Phetchatree, Ms. Thunwarat Untrichan, Ms. Ratana Yamacharoen and Ms. Phornwarin Rianrungrot for their role in data acquisition. No other financial disclosures were reported by the authors of this paper.
PY - 2012/6/22
Y1 - 2012/6/22
N2 - Background: 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. Purpose: 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. Methods: 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. Results: 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. Conclusion: 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.
AB - Background: 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. Purpose: 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. Methods: 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. Results: 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. Conclusion: 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.
KW - Immunization policy
KW - Influenza vaccine
KW - Supply chain
UR - http://www.scopus.com/inward/record.url?scp=84862016836&partnerID=8YFLogxK
U2 - 10.1016/j.vaccine.2012.04.041
DO - 10.1016/j.vaccine.2012.04.041
M3 - Article
C2 - 22537993
AN - SCOPUS:84862016836
SN - 0264-410X
VL - 30
SP - 4517
EP - 4523
JO - Vaccine
JF - Vaccine
IS - 30
ER -