Investigating persistent measles dynamics associated with population immunity in Chad: a national secondary data model analysis from 2011 to 2025
Gilson Kipese Paluku, Balcha Girma Masresha, Antoinette Demian Mbaïlamen, Tamadji Mbaihol, Djalal Mohamed El-hafiz, Thierry Vincent, Jacques L. Tamuzi, Patrick DMC Katoto, Charles S. Wiysonge, Blanche-Philomene Melanga Anya

TL;DR
This study models measles immunity gaps in children in Chad from 2011 to 2025, showing persistent susceptibility due to low vaccination coverage.
Contribution
The study provides a national analysis of measles immunity gaps in Chad using secondary data and modeling.
Findings
Immunity gaps ranged from 5% to 6% in 2011-2013 and increased to 21% in 2016-2017.
From 2019 to 2022, immunity gaps decreased to 6-8%, but increased again in 2023-2025.
Low MCV1 coverage, late MCV2 introduction, and poor MCV2 coverage contribute to immunity gaps.
Abstract
•Measles outbreaks are recurrent in Chad.•Nearly 33% children in Chad are underimmunized.•Significative cumulative cases of measles susceptibility in Chad.•High population measles immunity profile gaps in Chad. Measles outbreaks are recurrent in Chad. Nearly 33% children in Chad are underimmunized. Significative cumulative cases of measles susceptibility in Chad. High population measles immunity profile gaps in Chad. To model the population measles immunity gaps in a birth cohort of children aged 0-14 years in Chad from 2011 to 2025. This study used the Centers for Disease Control and Prevention–established population modeling analysis measles immunity profile approach, including data published by World Health Organization, United Nations Children’s Fund, and United Nations Population. Excel and R Software were used to build a stacked bar chart of population immunity using…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Immune responses and vaccinations · Vaccine Coverage and Hesitancy
