Literature DB >> 16911434

Are rapid population estimates accurate? A field trial of two different assessment methods.

Rebecca F Grais1, Denis Coulombier, Julia Ampuero, Marcelino E S Lucas, Avertino T Barretto, Guy Jacquier, Francisco Diaz, Serge Balandine, Claude Mahoudeau, Vincent Brown.   

Abstract

Emergencies resulting in large-scale displacement often lead to populations resettling in areas where basic health services and sanitation are unavailable. To plan relief-related activities quickly, rapid population size estimates are needed. The currently recommended Quadrat method estimates total population by extrapolating the average population size living in square blocks of known area to the total site surface. An alternative approach, the T-Square, provides a population estimate based on analysis of the spatial distribution of housing units taken throughout a site. We field tested both methods and validated the results against a census in Esturro Bairro, Beira, Mozambique. Compared to the census (population: 9,479), the T-Square yielded a better population estimate (9,523) than the Quadrat method (7,681; 95% confidence interval: 6,160-9,201), but was more difficult for field survey teams to implement. Although applicable only to similar sites, several general conclusions can be drawn for emergency planning.

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Year:  2006        PMID: 16911434     DOI: 10.1111/j.0361-3666.2005.00326.x

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


  7 in total

1.  Using administrative data to estimate population displacement and resettlement following a catastrophic U.S. disaster.

Authors:  Allison Plyer; Joy Bonaguro; Ken Hodges
Journal:  Popul Environ       Date:  2009-11-29

2.  Studying Displacement After a Disaster Using Large Scale Survey Methods: Sumatra After the 2004 Tsunami.

Authors:  Clark Gray; Elizabeth Frankenberg; Thomas Gillespie; Cecep Sumantri; Duncan Thomas
Journal:  Ann Assoc Am Geogr       Date:  2014-01-01

3.  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

4.  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

5.  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

6.  Users' guides to the medical literature: how to use an article about mortality in a humanitarian emergency.

Authors:  Edward J Mills; Francesco Checchi; James J Orbinski; Michael J Schull; Frederick M Burkle; Chris Beyrer; Curtis Cooper; Colleen Hardy; Sonal Singh; Richard Garfield; Bradley A Woodruff; Gordon H Guyatt
Journal:  Confl Health       Date:  2008-09-30       Impact factor: 2.723

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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