Fine scale analysis of symptomatic malaria incidence in children under-five in Cameroon : hierarchical Bayesian spatio-temporal models and meta-analysis for morbidity assessment
Despite multiple public health interventions, the incidence of malaria in Cameroon among children U5 is not decreasing. Fine-scale analysis helps to better capture the incidence and determinant of disease at local level and therefore, may contribute to more contextualized public health interventions and better resource allocation. Based on the analysis of routinely collected data between 2012 and 2018 in U5, our findings indicate substantial variation in malaria trend, seasonality, and risk in U5 across health districts. Malaria incidence was correlated with maximum temperature and rainfall the month before. The East region has a disproportionately high malaria burden compared to other regions. This first spatiotemporal modelling of clinical data from the whole country provides one-month risk forecasts that can guide preventive action at the health district level in Cameroon. In the future, the optimisation of data should allow a finer analysis at the level of the health areas in Cameroon.
Danwang, C. (2021). Fine scale analysis of symptomatic malaria incidence in children under-five in Cameroon : hierarchical Bayesian spatio-temporal models and meta-analysis for morbidity assessment. https://hdl.handle.net/2078.5/107988