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

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dc.contributor Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Kristof.Bostoen@lshtm.ac.uk
dc.creator Bostoen, K
dc.creator Chalabi, Z
dc.creator Grais, R
dc.date 2007-06
dc.date.accessioned 2017-01-31T07:13:43Z
dc.date.available 2017-01-31T07:13:43Z
dc.identifier Optimisation of the T-square sampling method to estimate population sizes. 2007, 4:7notEmerg Themes Epidemiol
dc.identifier 1742-7622
dc.identifier 17543101
dc.identifier 10.1186/1742-7622-4-7
dc.identifier http://hdl.handle.net/10144/52694
dc.identifier http://fieldresearch.msf.org/msf/handle/10144/52694
dc.identifier Emerging Themes in Epidemiology
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10144/52694
dc.description Population size and density estimates are needed to plan resource requirements and plan health related interventions. Sampling frames are not always available necessitating surveys using non-standard household sampling methods. These surveys are time-consuming, difficult to validate, and their implementation could be optimised. Here, we discuss an example of an optimisation procedure for rapid population estimation using T-Square sampling which has been used recently to estimate population sizes in emergencies. A two-stage process was proposed to optimise the T-Square method wherein the first stage optimises the sample size and the second stage optimises the pathway connecting the sampling points. The proposed procedure yields an optimal solution if the distribution of households is described by a spatially homogeneous Poisson process and can be sub-optimal otherwise. This research provides the first step in exploring how optimisation techniques could be applied to survey designs thereby providing more timely and accurate information for planning interventions.
dc.language en
dc.publisher BioMed Central
dc.rights Archived with thanks to Emerging Themes in Epidemiology and Open Access.
dc.subject Population estimation
dc.title Optimisation of the T-square sampling method to estimate population sizes.
dc.type Article

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