Project Description: The study aims to determine the long term health and socioeconomic effects of detecting and treating low density malaria infection in children residing low transmission settings. Firstly, the study will assess the impact of standard passive case detection (PCD) plus active case detection using molecular testing (ACDm) vs standard PCD alone on long-term child health. In the ACDm arm, children will receive ACD using RDT and qPCR 3x yearly with treatment using artemether-lumefantrine (AL) if... The study aims to determine the long term health and socioeconomic effects of detecting and treating low density malaria infection in children residing low transmission settings. Firstly, the study will assess the impact of standard passive case detection (PCD) plus active case detection using molecular testing (ACDm) vs standard PCD alone on long-term child health. In the ACDm arm, children will receive ACD using RDT and qPCR 3x yearly with treatment using artemether-lumefantrine (AL) if RDT or qPCR positive. Both arms will receive standard PCD using RDT. We hypothesize that adding ACDm will lower incidence of all-cause sick visits. Secondly, it will assess the impact of PCDm vs standard PCD on long-term child health. For fever episodes, both arms will receive standard PCD using RDT. In the PCDm arm, qPCR will be done on RDT negatives with treatment using AL if positive. Neither arm will receive ACD. We hypothesize that PCDm vs standard PCD will lower incidence of all-cause sick visits. Thirdly, we will evaluate cost effectiveness of ACDm and PCDm where the socioeconomic cost data from aims 1 and 2 above will be used to compare each intervention to control and calculate outcomes including cost per sick visit averted per disability adjusted life years (DALYs) and per economic dollar saved. Therefore, the significance of our study lies in the increasing worldwide relevance of LMI and its associated morbidity for children; the importance of child health for global health, society, economy; and the potential for findings to lead to policy and practice changes.
Principal Investigator : Ally Olotu
Department Name :
Time frame: (2022-04-15) - (2027-03-31)