Article

Sampling in Difficult Settings: A Simulation Study Comparing Several Sampling Methods

2021-05-11

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>:Taking a representative sample to determine prevalence of variables like disease is difficult when little is known about the target population. Several methods have been proposed, including a recent revision of the World Health Organization’s Extended Program on Immunization (EPI) surveys. The original EPI method samples towns as Primary Sampling Units (PSUs) wit...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: de61aaea-6cfb-5200-a5b7-eb4774e6f96d
DOI: 10.21203/rs.3.rs-85299/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Sampling in Difficult Settings: A Simulation Study Comparing Several Sampling MethodsDOI 10.21203/rs.3.rs-85299/v2Read

A Simulation Study of Sampling in Difficult Settings: Statistical Superiority of Little-Used methodSemantic proximity Read

Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest that optimal policies vary with rural-urban settingsSemantic proximity Read

The efficacy of sampling strategies for estimating scabies prevalenceSemantic proximity Read

Sample size in social contact surveys for epidemic modellingSemantic proximity Read

A systematic review of social contact surveys to inform transmission models of close contact infectionsSemantic proximity Read

Targeted vaccination is effective for mpox clade Ib in England despite increased household transmission: predictions from a modelling studySemantic proximity Read

Leveraging infectious disease models to interpret randomized controlled trials: controlling enteric pathogen transmission through water, sanitation, and hygiene interventionsSemantic proximity Read

Using simulated infectious disease outbreaks to guide the design of individually randomized vaccine trialsSemantic proximity Read

bootComb - An R Package to Derive Confidence Intervals for Combinations of Independent Parameter EstimatesSemantic proximity Read

A Novel Feasibility Study Design Enabling Informative Clinical Trials in Low Resource Settings: the Pop-Up Prevalence study with Private Ethics (PUPPE)Semantic proximity Read

Methods for Reproducible Comparison of Strategies in Stochastic ModellingSemantic proximity Read

Synthetic Spatiotemporal Covid-19 Data Replicates Generated via the USPopulationSampler R PackageSemantic proximity Read