ArticleSpatial demography2016
Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.
Article in Spatial demography, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Fine-scale spatial mapping of urban malaria prevalence for microstratification in an urban area of Ghana.Malaria journal · 2025Article
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- Maternal and perinatal mortality: geospatial analysis of inequality in pregnancy related and perinatal mortality in Ethiopia.Health policy and planning · 2025Article
- The influence of jittering DHS cluster locations on geostatistical model-based estimates of malaria risk in Cameroon.Parasite epidemiology and control · 2024Article
- Access to food markets, household wealth and child nutrition in rural Cambodia: Findings from nationally representative data.PloS one · 2023Article
- Geographic barriers to care persist at the community healthcare level: Evidence from rural Madagascar.PLOS global public health · 2022Article
- Working toward effective anonymization for surveillance data: innovation at South Africa's Agincourt Health and Socio-Demographic Surveillance Site.Population and environment · 2021Article
- Deforestation and Household- and Individual-Level Double Burden of Malnutrition in Sub-Saharan Africa.Frontiers in sustainable food systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
We evaluate the impacts of random spatial displacements on analyses that involve distance measures from displaced Demographic and Health Survey (DHS) clusters to nearest ancillary point or line features, such as health resources or roads. We use simulation and case studies to address the effects of this introduced error, and propose use of regression calibration (RC) to reduce its impact. Results suggest that RC outperforms analyses involving naive distance-based covariate assignments by reducing the bias and MSE of the main estimator in most settings. Proposed guidelines also address the effect of the spatial density of destination features on observed bias.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.