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    Jan 16, 2021
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    Optimisation of the T-square sampling method to estimate population sizes.

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    Authors
    Bostoen, K
    Chalabi, Z
    Grais, R
    Affiliation
    Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Kristof.Bostoen@lshtm.ac.uk
    Issue Date
    2007-06
    Submitted date
    2009-03-04
    
    Metadata
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    Journal
    Emerging Themes in Epidemiology
    Abstract
    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.
    Publisher
    BioMed Central
    URI
    http://hdl.handle.net/10144/52694
    DOI
    10.1186/1742-7622-4-7
    PubMed ID
    17543101
    Type
    Article
    Language
    en
    ISSN
    1742-7622
    Sponsors
    Epicentre
    ae974a485f413a2113503eed53cd6c53
    10.1186/1742-7622-4-7
    Scopus Count
    Collections
    Research Methods

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