Modeling the waning and boosting of immunity from infection or vaccination

JOURNAL OF THEORETICAL BIOLOGY

卷:497

Article

Carlsson, Rose-Marie¹  Childs, Lauren M.²  Feng, Zhilan^3,4  Glasser, John W.⁵  Heffernan, Jane M.⁶  Li, Jing⁷  Rost, Gergely⁸ 

[1] Publ Hlth Agcy Sweden, Solna, Sweden

[2] Virginia Tech, Blacksburg, VA USA

[3] Purdue Univ, W Lafayette, IN 47907 USA

[4] Natl Sci Fdn, Alexandria, VA USA

[5] Ctr Dis Control & Prevent, Atlanta, GA USA

[6] York Univ, Toronto, ON, Canada

[7] Calif State Univ Northridge, Northridge, CA 91330 USA

[8] Univ Szeged, Szeged, Hungary

关键词: Mathematical epidemiology;    Waning and boosting of immunity;    Vaccination;    Age- and immunity-structured population;    Immuno-epidemiology;   

DOI  :  10.1016/j.jtbi.2020.110265

来源: Elsevier

【 摘 要 】

Immunity following natural infection or immunization may wane, increasing susceptibility to infection with time since infection or vaccination. Symptoms, and concomitantly infectiousness, depend on residual immunity. We quantify these phenomena in a model population composed of individuals whose susceptibility, infectiousness, and symptoms all vary with immune status. We also model age, which affects contact, vaccination and possibly waning rates. The resurgences of pertussis that have been observed wherever effective vaccination programs have reduced typical disease among young children follow from these processes. As one example, we compare simulations with the experience of Sweden following resumption of pertussis vaccination after the hiatus from 1979 to 1996, reproducing the observations leading health authorities to introduce booster doses among school-aged children and adolescents in 2007 and 2014, respectively. Because pertussis comprises a spectrum of symptoms, only the most severe of which are medically attended, accurate models are needed to design optimal vaccination programs where surveillance is less effective. (C) 2020 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free