Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies’ programming.
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journal article
Assessing the use of cell phones to monitor health and nutrition interventions: Evidence from rural Guatemala
In-person (face-to-face) data collection methods offer many advantages but can also be time-consuming and expensive, particularly in areas of difficult access.
journal article
Knowledge about tuberculosis and infection prevention behavior: A nine city longitudinal study from India
Improving patients’ tuberculosis (TB) knowledge is a salient component of TB control strategies. Patient knowledge of TB may encourage infection prevention behaviors and improve treatment adherence.