scholarly article | Q13442814 |
P50 | author | Andrew J. Tatem | Q29397317 |
Nicola Wardrop | Q43083689 | ||
Peter M. Atkinson | Q55176023 | ||
Luigi Sedda | Q61995607 | ||
Alessandro Sorichetta | Q63635509 | ||
P2093 | author name string | Carla Pezzulo | |
David J Rogers | |||
David W Morley | |||
Joanna Kuleszo | |||
P2860 | cites work | Very high resolution interpolated climate surfaces for global land areas | Q29642135 |
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Connecting the Dots Between Health, Poverty and Place in Accra, Ghana. | Q30392322 | ||
Indicators of 21st century socioclimatic exposure | Q31139920 | ||
Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data | Q31142297 | ||
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Diseases of poverty with high mortality in infants and children: malaria, measles, lower respiratory infections, and diarrheal illnesses | Q34789148 | ||
Spatial determinants of poverty in rural Kenya | Q36089308 | ||
Waging peace through neglected tropical disease control: a US foreign policy for the bottom billion | Q43199516 | ||
Dry land tree management for improved household livelihoods: farmer managed natural regeneration in Niger | Q46963322 | ||
Environmental risk factors and child nutritional status and survival in a context of climate variability and change | Q57197646 | ||
Predicting socioeconomic conditions from satellite sensor data in rural developing countries: A case study using female literacy in Assam, India | Q57305306 | ||
Poverty projection using a small area estimation method: Evidence from Vietnam | Q58859339 | ||
The economic burden of Kala-azar in households of the Danusha and Mahottari districts of Nepal | Q73874711 | ||
P433 | issue | 2 | |
P921 | main subject | poverty | Q10294 |
West Africa | Q4412 | ||
P1104 | number of pages | 8 | |
P304 | page(s) | 99-106 | |
P577 | publication date | 2015-03-01 | |
P1433 | published in | International Health | Q15816250 |
P1476 | title | Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa. | |
P478 | volume | 7 |
Q58545980 | Comparison of spatial interpolation methods to create high-resolution poverty maps for low- and middle-income countries |
Q42664597 | Digital methods in epidemiology can transform disease control |
Q36087590 | Environmental predictors of stunting among children under-five in Somalia: cross-sectional studies from 2007 to 2010 |
Q30377190 | Exploring the high-resolution mapping of gender-disaggregated development indicators. |
Q30378219 | Mapping poverty using mobile phone and satellite data |
Q30382407 | Why is malaria associated with poverty? Findings from a cohort study in rural Uganda. |
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