TY - JOUR
T1 - Modelling the impact of universal influenza vaccines on seasonal influenza with different subtypes
AU - Li, Rui
AU - Li, Qian
AU - Liu, Yiming
AU - Shen, Mingwang
AU - Zhang, Lei
AU - Zhuang, Guihua
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (grant number 12171387 (M.S.), 11801435 (M.S.), 81950410639 (L.Z.)); China Postdoctoral Science Foundation (2018M631134 (M.S.), 2020T130095ZX (M.S.)); the Fundamental Research Funds for the Central Universities (xjh012019055 (M.S.)); Natural Science Basic Research Program of Shaanxi Province (2019JQ-187 (M.S.)); Young Talent Support Program of Shaanxi University Association for Science and Technology (20210307 (M.S.)); the Bill & Melinda Gates Foundation (20200344 (L.Z.)); Outstanding Young Scholars Support Program (3111500001 (L.Z.)); Xi'an Jiaotong University Basic Research and Profession Grant (xtr022019003 (L.Z.), xzy032020032 (L Z.)); Xi'an Jiaotong University Young Talent Support Grant (YX6J004 (L.Z.)) and Key Research and Development Program of Shaanxi Provincial (2020SF-107 (Q.L.)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
Copyright © The Author(s), 2021. Published by Cambridge University Press.
PY - 2021/11/2
Y1 - 2021/11/2
N2 - Several candidates of universal influenza vaccine (UIV) have entered phase III clinical trials, which are expected to improve the willingness and coverage of the population substantially. The impact of UIV on the seasonal influenza epidemic in low influenza vaccination coverage regions like China remains unclear. We proposed a new compartmental model involving the transmission of different influenza subtypes to evaluate the effects of UIV. We calibrated the model by weekly surveillance data of influenza in Xi'an City, Shaanxi Province, China, during 2010/11-2018/19 influenza seasons. We calculated the percentage of averted infections under 2-month (September to October) and 6-month (September to the next February) vaccination patterns with varied UIV effectiveness and coverage in each influenza season, compared with no UIV scenario. A total of 195 766 influenza-like illness (ILI) cases were reported during the nine influenza seasons (2010/11-2018/19), of which the highest ILI cases were among age group 0-4 (59.60%) years old, followed by 5-14 (25.22%), 25-59 (8.19%), 15-24 (3.75%) and 60 (3.37%) years old. The influenza-positive rate for all age groups among ILI cases was 17.51%, which is highest among 5-14 (23.75%) age group and followed by 25-59 (16.44%), 15-24 (16.42%), 0-4 (14.66%) and 60 (13.98%) age groups, respectively. Our model showed that UIV might greatly avert influenza infections irrespective of subtypes in each influenza season. For example, in the 2018/19 influenza season, 2-month vaccination pattern with low UIV effectiveness (50%) and coverage (10%), and high UIV effectiveness (75%) and coverage (30%) could avert 41.6% (95% CI 27.8-55.4%) and 83.4% (80.9-85.9%) of influenza infections, respectively; 6-month vaccination pattern with low and high UIV effectiveness and coverage could avert 32.0% (15.9-48.2%) and 74.2% (69.7-78.7%) of influenza infections, respectively. It would need 11.4% (7.9-15.0%) of coverage to reduce half of the influenza infections for 2-month vaccination pattern with low UIV effectiveness and 8.5% (5.0-11.2%) of coverage with high UIV effectiveness, while it would need 15.5% (8.9-20.7%) of coverage for 6-month vaccination pattern with low UIV effectiveness and 11.2% (6.5-15.0%) of coverage with high UIV effectiveness. We conclude that UIV could significantly reduce the influenza infections even for low UIV effectiveness and coverage. The 2-month vaccination pattern could avert more influenza infections than the 6-month vaccination pattern irrespective of influenza subtype and UIV effectiveness and coverage.
AB - Several candidates of universal influenza vaccine (UIV) have entered phase III clinical trials, which are expected to improve the willingness and coverage of the population substantially. The impact of UIV on the seasonal influenza epidemic in low influenza vaccination coverage regions like China remains unclear. We proposed a new compartmental model involving the transmission of different influenza subtypes to evaluate the effects of UIV. We calibrated the model by weekly surveillance data of influenza in Xi'an City, Shaanxi Province, China, during 2010/11-2018/19 influenza seasons. We calculated the percentage of averted infections under 2-month (September to October) and 6-month (September to the next February) vaccination patterns with varied UIV effectiveness and coverage in each influenza season, compared with no UIV scenario. A total of 195 766 influenza-like illness (ILI) cases were reported during the nine influenza seasons (2010/11-2018/19), of which the highest ILI cases were among age group 0-4 (59.60%) years old, followed by 5-14 (25.22%), 25-59 (8.19%), 15-24 (3.75%) and 60 (3.37%) years old. The influenza-positive rate for all age groups among ILI cases was 17.51%, which is highest among 5-14 (23.75%) age group and followed by 25-59 (16.44%), 15-24 (16.42%), 0-4 (14.66%) and 60 (13.98%) age groups, respectively. Our model showed that UIV might greatly avert influenza infections irrespective of subtypes in each influenza season. For example, in the 2018/19 influenza season, 2-month vaccination pattern with low UIV effectiveness (50%) and coverage (10%), and high UIV effectiveness (75%) and coverage (30%) could avert 41.6% (95% CI 27.8-55.4%) and 83.4% (80.9-85.9%) of influenza infections, respectively; 6-month vaccination pattern with low and high UIV effectiveness and coverage could avert 32.0% (15.9-48.2%) and 74.2% (69.7-78.7%) of influenza infections, respectively. It would need 11.4% (7.9-15.0%) of coverage to reduce half of the influenza infections for 2-month vaccination pattern with low UIV effectiveness and 8.5% (5.0-11.2%) of coverage with high UIV effectiveness, while it would need 15.5% (8.9-20.7%) of coverage for 6-month vaccination pattern with low UIV effectiveness and 11.2% (6.5-15.0%) of coverage with high UIV effectiveness. We conclude that UIV could significantly reduce the influenza infections even for low UIV effectiveness and coverage. The 2-month vaccination pattern could avert more influenza infections than the 6-month vaccination pattern irrespective of influenza subtype and UIV effectiveness and coverage.
KW - Seasonal influenza
KW - subtypes
KW - universal influenza vaccine
KW - vaccination pattern
KW - vaccine effectiveness and coverage
UR - http://www.scopus.com/inward/record.url?scp=85119204361&partnerID=8YFLogxK
U2 - 10.1017/S0950268821002284
DO - 10.1017/S0950268821002284
M3 - Article
AN - SCOPUS:85119204361
VL - 149
JO - Epidemiology and Infection
JF - Epidemiology and Infection
SN - 0950-2688
M1 - e253
ER -