BibTex format
@article{Shankar:2024:10.1186/s12879-024-10243-0,
author = {Shankar, M and Hartner, A-M and Arnold, CRK and Gayawan, E and Kang, H and Kim, J-H and Gilani, GN and Cori, A and Fu, H and Jit, M and Muloiwa, R and Portnoy, A and Trotter, C and Gaythorpe, KAM},
doi = {10.1186/s12879-024-10243-0},
journal = {BMC Infect Dis},
title = {How mathematical modelling can inform outbreak response vaccination.},
url = {http://dx.doi.org/10.1186/s12879-024-10243-0},
volume = {24},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns in disease spread, simulate control options to assist public health authorities in decision-making, and longer-term operational and financial planning. In the context of vaccine-preventable diseases (VPDs), vaccines are one of the most-cost effective outbreak response interventions, with the potential to avert significant morbidity and mortality through timely delivery. Models can contribute to the design of vaccine response by investigating the importance of timeliness, identifying high-risk areas, prioritising the use of limited vaccine supply, highlighting surveillance gaps and reporting, and determining the short- and long-term benefits. In this review, we examine how models have been used to inform vaccine response for 10 VPDs, and provide additional insights into the challenges of outbreak response modelling, such as data gaps, key vaccine-specific considerations, and communication between modellers and stakeholders. We illustrate that while models are key to policy-oriented outbreak vaccine response, they can only be as good as the surveillance data that inform them.
AU - Shankar,M
AU - Hartner,A-M
AU - Arnold,CRK
AU - Gayawan,E
AU - Kang,H
AU - Kim,J-H
AU - Gilani,GN
AU - Cori,A
AU - Fu,H
AU - Jit,M
AU - Muloiwa,R
AU - Portnoy,A
AU - Trotter,C
AU - Gaythorpe,KAM
DO - 10.1186/s12879-024-10243-0
PY - 2024///
TI - How mathematical modelling can inform outbreak response vaccination.
T2 - BMC Infect Dis
UR - http://dx.doi.org/10.1186/s12879-024-10243-0
UR - https://www.ncbi.nlm.nih.gov/pubmed/39617902
VL - 24
ER -