2006
DOI: 10.1093/ije/dyl019
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Optimization of household survey sampling without sample frames

Abstract: There are a few sampling methods available to survey households in situations where sample frames are either unavailable or are unreliable. The most popular of these methods is the expanded programme of immunization (EPI) sampling method, which has been used in low-income countries. The purpose of this paper is to explain how mathematical programming can be used to optimize EPI and other household survey sampling methods in these situations.

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Cited by 77 publications
(73 citation statements)
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“…In the present study, we applied the "door-to-door" method used in the standard Expanded Program of Immunisation (EPI) developed by WHO [16]. Although this method suffers from a number of disadvantages and was initially developed to measure the coverage of the childhood immunization programmes and nutritional status, it has been widely and successfully used for other purposes in low income countries [19,20]. Furthermore, the response rate is acceptable and only minor differences in socio-demographic profiles among participants and non-participants were noted.…”
Section: Discussionmentioning
confidence: 99%
“…In the present study, we applied the "door-to-door" method used in the standard Expanded Program of Immunisation (EPI) developed by WHO [16]. Although this method suffers from a number of disadvantages and was initially developed to measure the coverage of the childhood immunization programmes and nutritional status, it has been widely and successfully used for other purposes in low income countries [19,20]. Furthermore, the response rate is acceptable and only minor differences in socio-demographic profiles among participants and non-participants were noted.…”
Section: Discussionmentioning
confidence: 99%
“…It is often difficult to obtain representative samples in low-income countries, particularly when hidden and vulnerable population groups are involved [50,51].…”
Section: Limitationsmentioning
confidence: 99%
“…The elements of optimising any household sampling method are the objective function (performance measure) to be optimised (maximised or minimised), the parameters of the method which can be tuned to optimise the objective function, and the constraints that are imposed on the values of these parameters [8]. In the context of optimising the T-Square method this is translated as follows.…”
Section: Discussionmentioning
confidence: 99%
“…One of the problems in validating and verifying sampling methods used in situations devoid of sampling frames is the difficulty in analysing the properties of the sampling methods [8]. Traditional optimisation of sampling methods is done using computationally intensive re-sampling techniques such as Monte Carlo (MC) or Latin Hypercube Sampling (LHS) simulations, while experimenting with different permutations of the parameters of the sampling method on simulated or real population data.…”
Section: Introductionmentioning
confidence: 99%
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