Child Mortality Surveillance and Minimally Invasive Tissue Sampling (MITS)

Surveillance for deaths among under 5 children and stillbirths in Baliakandi sub-district, Rajbari and investigation of etiology: a CHAMPS study



Specifically, the program will have the following primary objectives:

1.    Identify under-5 deaths and stillbirths in Baliakandi sub-district of Rajbari district

·        Identify and enumerate all under-5 deaths and stillbirths in Baliakandi through:

                               i.      Hospital based mortality surveillance in Faridpur Medical College Hospital, Baliakandi Thana Health Complex;

                              ii.      Community-based mortality surveillance in Baliakandi sub-district, including reporting through call centre in Baliakandi


2.    Determine causes of under-5 deaths and stillbirths in the study population, including using MITS

·        Obtain MITS on as many under-5 deaths and stillbirths as possible and undertake histopathologic, bacterial culture, and molecular diagnostics of under-5 from Baliakandi

·        Obtain verbal autopsies and available maternal and clinical data on all eligible notified under-5 deaths and stillbirths in the study

·        Determine cause of death using all available histopathologic, bacterial culture, molecular diagnostics, and clinical, maternal and verbal autopsy data

3.    Estimating overall and cause-specific mortality rates (stillbirth and under-5) for Baliakandi sub-district of Rajbari district using data from mortality surveillance and cause of death determination, and data from a demographic surveillance system



We are conducting a study in Bangladesh as part of the CHAMPS network which will track the causes of under-5 mortality and stillbirths at selected population sites in sub-Saharan Africa and South Asia.  The Bangladesh study will involve epidemiologic surveillance of under-5 deaths and stillbirths utilizing MITS, laboratory diagnostics including conventional and advanced histopathology and molecular screening of various pathogens, verbal autopsy, and extraction of available clinical and demographic data.

MITS Data Visualization (sep-17)