<p>Given the question of how to further decrease childhood mortality and attain the fourth MDG in Bangladesh, the determinants of childhood mortality and successful health intervention programmes in a rural area of Bangladesh are examined in this paper. The binominal logit regression analysis, on Matlab HDSS data from 2001 to 2005, indicates that the child’s birth order, outcome of mother’s previous pregnancy, mother’s age, mother’s education, economic condition of the household, immunization, and place of delivery are important determining factors of childhood mortality. Interview discussions show that the delivery of health services is a determining factor for successful health intervention programmes. It is worth to note that childhood mortality levels are no longer significantly lower in the treatment area of Matlab. Furthermore, the intervention programmes in the area require continuous reform, especially in the fields of birth assistance and injury prevention.</p>

Given the question of how to further decrease childhood mortality and attain the fourth MDG in Bangladesh, the determinants of childhood mortality and successful health intervention programmes in a rural area of Bangladesh are examined in this paper. The binominal logit regression analysis, on Matlab HDSS data from 2001 to 2005, indicates that the child’s birth order, outcome of mother’s previous pregnancy, mother’s age, mother’s education, economic condition of the household, immunization, and place of delivery are important determining factors of childhood mortality. Interview discussions show that the delivery of health services is a determining factor for successful health intervention programmes. It is worth to note that childhood mortality levels are no longer significantly lower in the treatment area of Matlab. Furthermore, the intervention programmes in the area require continuous reform, especially in the fields of birth assistance and injury prevention.