This module welcomes students to the Measuring and Modeling Impact course presented by faculty from the Johns Hopkins Bloomberg School of Public Health. The module also introduces faculty and provides an overview of impact measures.

This module will first cover a broad set of issues that cut across all types of mortality, including under-five, maternal and neonatal. It then has lessons and readings that focus on understanding maternal mortality, data sources for maternal mortality and approaches to measurement.

This module will introduce you to the major indicators related to deaths among children that could be used as a measure of impact. For each of these indicators we describe common sources of these indicators as well as methods used to measure or model these indicators .

In this model we provide and overview of common impact measures related to nutrition. For each of these indicators we describe common sources and the methods that can be used to collect these indicators in an evaluation.

In this module we review other categories of possible impact measures, including morbidity, long-term consequences of programs and birth outcomes. For each category of additional impact measures we review the major indicators, possible sources of these indicators as well a a quick overview of methods that could be used to collect them.

In this module, we introduce the Lives Saved Tool (LiST) which is a mathematical modeling tool that can be used to model the impact of maternal, newborn, child health and nutrition. We review basic concepts, data sources, and review how the software itself works as well.

In this module, we discuss specific topics in LiST including how nutrition is modelled in LiST, how maternal and child mortality are modelled in LiST, and how subnational modelling is handled in LiST. We conclude by reviewing some additional tools that are relevant to LiST.