Title : Analysis of measles surveillance data from the regional health center of excellence in man, Ivory Coast, January 2014 to June 2024
Abstract:
Introduction:
Measles is a contagious viral disease that causes numerous deaths among young children worldwide, particularly in low-income countries, including Côte d’Ivoire, despite the availability of a safe and effective vaccine. The lack of surveillance data analysis led us to analyze measles surveillance data from the Man Regional Health Center of Excellence, with the aim of assessing data quality.
Method:
We conducted a descriptive cross-sectional study from January 1, 2014, to June 31, 2024. Data were extracted from the MAGPI database. Measles cases recorded in the database with correct or corrected data were used for the study. Data were analyzed by person, time, and location using Excel, Epi-Info 7, and QGIS 3.36 software.
Results:
122 data were deleted as irreparable out of the total of 4800 with 11.52% missing data. The confirmation rate was 13% (635/4678) which remains underestimated because 62% of cases had no results reported. The age group of 0 to 5 years represented 63% with a median age of 2 (1 to 77) years. The sex ratio was 1.15. Vaccination status was unknown for 47.26% of cases with 22.13% of vaccinated cases. The majority of cases resided in rural areas, i.e. 85%. The highest incidences were observed in 2022 (24.69 per 100,000 inhabitants) and 2023 (20.62 per 100,000 inhabitants).
Conclusion:
Missing data complicate the evaluation of vaccination efforts and the identification of at-risk populations. The high incidences noted in 2022 and 2023 indicate a worrying resurgence of the disease, especially among children under 5 years of age, requiring immediate action to strengthen public health interventions. This study demonstrates the importance of improving data quality to better understand measles dynamics and better guide health policies to reduce the morbidity and mortality associated with this disease.
