Worldwide, millions of people are displaced annually because of natural or industrial disasters or social upheaval. Reliable data on the numbers, characteristics, and locations of these populations can bolster humanitarian relief efforts and recovery programs. Using sound methods for estimating population numbers and characteristics is important for both industrialized and developing nations. Ensuring that the data are geographically referenced for projection onto maps is essential. However, good data alone are insufficient. Adequate staff training and strong organizational and political desire to maintain and use the information are also required. Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises, reviews the main methods and tools for making estimates of subnational populations and makes several recommendations to improve the collection and the use of population data for emergency response and development.Data summarized for these areas can then be interpolated between clusters to produce estimates for those places not ... Montana (2006) illustrated this method using inverse distance-weighted interpolation to model HIV prevalence in Kenya and Tanzania ... At present, not enough validation studies have been conducted to guide researchers definitively to a method of ... the use of point data in statistical modeling to represent information aggregated for an area around that point can beanbsp;...
|Title||:||Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises|
|Author||:||Committee on the Effective Use of Data, Methodologies, and Technologies to Estimate Subnational Populations at Risk, Board on Earth Sciences and Resources, Committee on Population, Division on Earth and Life Studies, Division of Behavioral and Social Sciences and Education, National Research Council|
|Publisher||:||National Academies Press - 2007-06-01|