Population health is linked closely to poverty. To assess the effectiveness of health interventions it is critical to monitor the spatial and temporal changes in the health indicators of populations and outcomes across varying levels of poverty. Existing measures of poverty based on income, consumption or assets are difficult to compare across geographic settings and are expensive to construct. Remotely sensed data on artificial night time lights (NTL) have been shown to correlate with gross domestic product in developed countries.
Go to Resource| Field | Value |
|---|---|
| Author(s) | Abdisalan M Noor, Victor A Alegana, Peter W Gething, Andrew J Tatem & Robert W Snow |
| Last Updated | February 11, 2021, 21:45 (UTC) |
| Created | December 7, 2020, 22:52 (UTC) |
| Stable Link | https://link.springer.com/article/10.1186/1478-7954-6-5 |
| Date | 2008-10-21 |
| Publishing Body | Population Health Metrics, 6(1), 1-13. |
| Content Type | Publications |
| Primary Category | Demographics & Socioeconomics |
| Sub Category | Socioeconomics |
| Country Name | Central African Republic |
| Location Latitude | 6.6111 |
| Location Longitude | 20.9394 |
| Publishing Organization | New Light Technologies |