Evidence map›Paper›PMID 25398101›Full record

ArticlePloS one2014

Methods for determining the uncertainty of population estimates derived from satellite imagery and limited survey data: a case study of Bo city, Sierra Leone.

Roger Hillson, Joel D Alejandre, Kathryn H Jacobsen, Rashid Ansumana, Alfred S Bockarie, Umaru Bangura, Joseph M Lamin, Anthony P Malanoski, David A Stenger

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Spatially disaggregated population estimates in the absence of national population and housing census data.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Roger HillsonInformation Technology Division, Naval Research Laboratory, Washington, District of Columbia, United States of America.
Joel D AlejandreInformation Technology Division, Naval Research Laboratory, Washington, District of Columbia, United States of America.
Kathryn H JacobsenDepartment of Global and Community Health, George Mason University, Fairfax, Virginia, United States of America.
Rashid AnsumanaNjala University, Bo, Sierra Leone; Mercy Hospital Research Laboratory, Bo, Sierra Leone.
Alfred S BockarieNjala University, Bo, Sierra Leone; Mercy Hospital Research Laboratory, Bo, Sierra Leone.
Umaru BanguraMercy Hospital Research Laboratory, Bo, Sierra Leone.
Joseph M LaminMercy Hospital Research Laboratory, Bo, Sierra Leone.
Anthony P MalanoskiCenter for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia, United States of America.
David A StengerCenter for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study demonstrates the use of bootstrap methods to estimate the total population of urban and periurban areas using satellite imagery and limited survey data. We conducted complete household surveys in 20 neighborhoods in the city of Bo, Sierra Leone, which collectively were home to 25,954 persons living in 1,979 residential structures. For five of those twenty sections, we quantized the rooftop areas of structures extracted from satellite images. We used bootstrap statistical methods to estimate the total population of the pooled sections, including the associated uncertainty intervals, as a function of sample size. Evaluations based either on rooftop area per person or on the mean number of occupants per residence both converged on the true population size. We demonstrate with this simulation that demographic surveys of a relatively small proportion of residences can provide a foundation for accurately estimating the total population in conjunction with aerial photographs.

Indexed as

DemographyPopulation DensityUncertaintyComputer SimulationDatabases as TopicGeographyHumansResidence CharacteristicsSample SizeSatellite ImagerySierra Leone

Identifiers

PMID25398101
PMCPMC4232376

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Registered trials

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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.