Literature DB >> 11434235

Rapid assessment of population size by area sampling in disaster situations.

V Brown1, G Jacquier, D Coulombier, S Balandine, F Belanger, D Legros.   

Abstract

In the initial phase of a complex emergency, an immediate population size assessment method, based on area sampling, is vital to provide relief workers with a rapid population estimate in refugee camps. In the past decade, the method has been progressively improved; six examples are presented in this paper and questions raised about its statistical validity as well as important issues for further research. There are two stages. The first is to map the camp by registering all of its co-ordinates. In the second stage, the total camp population is estimated by counting the population living in a limited number of square blocks of known surface area, and by extrapolating average population calculated per block to the total camp surface. In six camps selected in Asia and Africa, between 1992 and 1994, population figures were estimated within one to two days. After measuring all external limits, surfaces were calculated and ranged between 121,300 and 2,770,000 square metres. In five camps, the mean average population per square was obtained using blocks 25 by 25 meters (625 m2), and for another camp with blocks 100 by 100 m2. In three camps, different population density zones were defined. Total camp populations obtained were 16,800 to 113,600. Although this method is a valuable public health tool in emergency situations, it has several limitations. Issues related to population density and number and size of blocks to be selected require further research for the method to be better validated.

Entities:  

Mesh:

Year:  2001        PMID: 11434235     DOI: 10.1111/1467-7717.00168

Source DB:  PubMed          Journal:  Disasters        ISSN: 0361-3666


  7 in total

1.  Predictability of population displacement after the 2010 Haiti earthquake.

Authors:  Xin Lu; Linus Bengtsson; Petter Holme
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-18       Impact factor: 11.205

2.  Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake.

Authors:  Robin Wilson; Elisabeth Zu Erbach-Schoenberg; Maximilian Albert; Daniel Power; Simon Tudge; Miguel Gonzalez; Sam Guthrie; Heather Chamberlain; Christopher Brooks; Christopher Hughes; Lenka Pitonakova; Caroline Buckee; Xin Lu; Erik Wetter; Andrew Tatem; Linus Bengtsson
Journal:  PLoS Curr       Date:  2016-02-24

3.  Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti.

Authors:  Linus Bengtsson; Xin Lu; Anna Thorson; Richard Garfield; Johan von Schreeb
Journal:  PLoS Med       Date:  2011-08-30       Impact factor: 11.069

4.  Remotely measuring populations during a crisis by overlaying two data sources.

Authors:  Nita Bharti; Xin Lu; Linus Bengtsson; Erik Wetter; Andrew J Tatem
Journal:  Int Health       Date:  2015-03       Impact factor: 2.473

5.  Validity and feasibility of a satellite imagery-based method for rapid estimation of displaced populations.

Authors:  Francesco Checchi; Barclay T Stewart; Jennifer J Palmer; Chris Grundy
Journal:  Int J Health Geogr       Date:  2013-01-23       Impact factor: 3.918

6.  Research in complex humanitarian emergencies: the Médecins Sans Frontières/Epicentre experience.

Authors:  Vincent Brown; Philippe J Guerin; Dominique Legros; Christophe Paquet; Bernard Pécoul; Alain Moren
Journal:  PLoS Med       Date:  2008-04-15       Impact factor: 11.069

7.  Optimisation of the T-square sampling method to estimate population sizes.

Authors:  Kristof Bostoen; Zaid Chalabi; Rebecca F Grais
Journal:  Emerg Themes Epidemiol       Date:  2007-06-01
  7 in total

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