A mathematical model for distributed waning of vaccine-derived immunity: Characterizing dynamical impact on measles elimination

The worldwide resurgence of measles outbreaks, particularly in western nations, has become a serious global health concern. Often, it fails to meet the regional measles elimination goals proposed by the World Health Organization (WHO). Several clinical studies pointed out that antibodies induced by the Measles–Mumps–Rubella vaccine wane over time, resulting in drops in the Herd-Immunity level despite maintaining high vaccine coverage in the population. To portray this nonlinear interaction between the waning of vaccine-induced immunity and disease transmission, we develop a measles model with a distributed delay that takes into account varying immunity periods in the population. We use different probability distributions to characterize distributed delay. Comparing scenarios under different types of distributions, we compute and show how it affects the control reproduction number, indicating when measles elimination is not possible under a simple routine immunization program. We determine critical vaccination coverage for different types of waning distribution. Our work illustrates that a supplementary immunization campaign in addition to routine vaccination is essential to control the outbreak and achieve elimination goals. • There has been a recent resurgence of measles outbreak in western nations, even with high vaccination coverage. • A mathematical framework is developed incorporating the waning of MMR vaccine-induced immunity. • Our analysis suggests that routine MMR vaccination at 1-2 years of age is not sufficient for measles elimination. • Supplementary immunization is essential to accelerate the measles elimination program.

Authors

Publication Details

Journal
Franklin Open
Published
2024-11-19
DOI
https://doi.org/10.1016/j.fraope.2024.100174
Citations
3
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.19
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article

A mathematical model for distributed waning of vaccine-derived immunity: Characterizing dynamical impact on measles elimination

Samit Bhattacharyya, Aniruddha Deka, Tumpa Mahato
3 citations
Franklin Open
COVID-19 epidemiological studies
1.19
article

A mathematical model for distributed waning of vaccine-derived immunity: Characterizing dynamical impact on measles elimination

Samit Bhattacharyya, Aniruddha Deka, Tumpa Mahato
article en
3 citations

Abstract

The worldwide resurgence of measles outbreaks, particularly in western nations, has become a serious global health concern. Often, it fails to meet the regional measles elimination goals proposed by the World Health Organization (WHO). Several clinical studies pointed out that antibodies induced by the Measles–Mumps–Rubella vaccine wane over time, resulting in drops in the Herd-Immunity level despite maintaining high vaccine coverage in the population. To portray this nonlinear interaction between the waning of vaccine-induced immunity and disease transmission, we develop a measles model with a distributed delay that takes into account varying immunity periods in the population. We use different probability distributions to characterize distributed delay. Comparing scenarios under different types of distributions, we compute and show how it affects the control reproduction number, indicating when measles elimination is not possible under a simple routine immunization program. We determine critical vaccination coverage for different types of waning distribution. Our work illustrates that a supplementary immunization campaign in addition to routine vaccination is essential to control the outbreak and achieve elimination goals. • There has been a recent resurgence of measles outbreak in western nations, even with high vaccination coverage. • A mathematical framework is developed incorporating the waning of MMR vaccine-induced immunity. • Our analysis suggests that routine MMR vaccination at 1-2 years of age is not sufficient for measles elimination. • Supplementary immunization is essential to accelerate the measles elimination program.

Franklin OpenVol. 9
Zero hunger
Openalex Percentile: Top 22%
COVID-19 epidemiological studies
1.19
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A mathematical model for distributed waning of vaccine-derived immunity: Characterizing dynamical impact on measles elimination — Samit Bhattacharyya, Aniruddha Deka, et al. · Franklin Open (2024) | TGRS Research Map | TGRS