Machine learning in publicly available geotagged data to allow monitoring of maternal and child health

$6.43M USD

Funder	EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Recipient Organization	Stanford University
Country	United States
Start Date	Aug 21, 2024
End Date	Apr 30, 2029
Duration	1,713 days
Number of Grantees	1
Roles	Principal Investigator
Data Source	NIH (US)
Grant ID	`10800091`

Grant Description

Over 95 percent of maternal and child deaths globally occur in low- and middle-income countries (LMICs) where reliable death registries are mostly unavailable and other dependable data are scarce. Moreover, within LMICs, the most disadvantaged and remote communities tend to have the highest mortality rates but the least

reliable data. Knowledge on the state of maternal and child health (MCH) in LMICs relies mostly on household surveys. These expensive and time-consuming surveys cover merely a small minority (usually