IJID regions · 2025
Investigating persistent measles dynamics associated with population immunity in Chad: a national secondary data model analysis from 2011 to 2025.
СтатьяНазвание и аннотация: Перевод в очереди
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Paluku Gilson Kipese, Masresha Balcha Girma, Mbaïlamen Antoinette Demian, Mbaihol Tamadji, El-Hafiz Djalal Mohamed, Vincent Thierry, Tamuzi Jacques L, Katoto Patrick Dmc, Wiysonge Charles S, Anya Blanche-Philomene Melanga
Аннотация
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.
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.