Evidence map›Paper›PMID 40662127›Full record

ArticleIJID regions2025

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

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Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gilson Kipese PalukuTeam leader of Universal Health Coverage/Communicable and Non-communicable diseases (UCN) at the WHO Office, N'djamena, Chad.
Balcha Girma MasreshaCoordinator of measles and rubella elimination in the WHO Africa Region, Brazzaville, Congo.
Antoinette Demian MbaïlamenDirector of the Expanded Program on Immunization (EPI) and epidemiological surveillance, N'djamena, Chad.
Tamadji MbaiholWHO Country Office, N'djamena, Republic of Chad.
Djalal Mohamed El-HafizWHO Country Office, N'djamena, Republic of Chad.
Thierry VincentGavi, N'djamena, Chad.
Jacques L TamuziDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Patrick Dmc KatotoDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Charles S WiysongeCochrane South Africa, South African Medical Research Council, Cape Town, South Africa.
Blanche-Philomene Melanga AnyaWHO Country Office, N'djamena, Republic of Chad.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Objectives: To model the population measles immunity gaps in a birth cohort of children aged 0-14 years in Chad from 2011 to 2025. Methods: 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 immunity by measles-containing vaccine (MCV) dose 1 (MCV1) (%), by MCV dose 2 (MCV2) (%), by supplemental immunization activities (%), by maternal antibodies (%), and the rate of unprotected individuals against measles. Results: The population immunity gaps ranged from 5% to 6% in the cohort of children born in 2011-2013. We estimated the immunity gaps to be 13% in 2014-2015. Our results revealed an increase in population immunity gaps of 21% in 2016 and 2017 and 20% computed in 2018. From 2019 to 2022, the immunity gaps are ranged from 6% to 8%, correlating with a decrease of three to four times less than 2016-2018. A significant increase in immunity was observed in 2023, 2024, and 2025, with 46%, 53%, and 36%, respectively. The overall cohort showed a significative cumulative number of cases of measles susceptibility correlated with population immunity gaps. The findings also revealed insufficient MCV1 coverage, a late introduction of MCV2, poor MCV2 coverage, and a high MCV1/MCV2 abandonment rate over time. Conclusions: The risk of recurrent measles outbreaks remains high because of high population immunity profile gaps, increasing the population susceptible. To address immunity gaps, it is necessary to increase coverage by routine vaccination and high-quality supplemental immunization activities in Chad.

Indexed as

ChadMeaslesPopulation immunityRecurrent outbreaks

Identifiers

PMID40662127
PMCPMC12257027

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