Analysing age-related trends in routine data through transmission modelling during seasonal malaria chemoprevention in Burkina Faso

Authors: Monica A de Cola, Benoit Sawadogo, Cheick Campaore, Sidzabda Kompaore, Christian Rassi, Patrick Walker, Lucy Okell

Age-related variations in routine data can be attributed to non-malarial fevers and treatment-seeking behaviours, which mask the impact of seasonal malaria chemoprevention.

Seasonal malaria chemoprevention (SMC) prevents approximately 75 percent of clinical malaria cases in trial settings. Regular monitoring of its impact is important to identify issues related to implementation, coverage and resistance. In Burkina Faso, the impact of SMC on malaria prevalence aligns with modeled simulations. However, data from the Health Management Information System (HMIS) indicate an increase in cases among children 3–59 months since 2013, despite a decrease in prevalence in the same age group. In this study, we use a mathematical model to investigate the impact of SMC by analysing the age distribution in HMIS cases.

This poster was presented at the 72nd annual meeting of the American Society of Tropical Medicine and Hygiene.