Evidence map›Paper›PMID 40642517›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2025

[Validation of satellite estimates for health interventions: use of microcensus data in Bolivia, 2024Validação de estimativas por satélite para intervenções de saúde: o uso de microcensos na Bolívia, 2024].

Silvana Zapata-Bedoya, Martha Velandia-González, Marcela Contreras, Claudia Ortiz, Yenny Neira, Leslie La Torre, Sebastián García, Daniel Salas, Claudia Jhovana Carrizales, Carlos Daniel Echazú Torres and 4 more

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Silvana Zapata-BedoyaPrograma Especial de Inmunización Integral (CIM) Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa Especial de Inmunización Integral (CIM), Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.
Martha Velandia-GonzálezPrograma Especial de Inmunización Integral (CIM) Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa Especial de Inmunización Integral (CIM), Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.
Marcela ContrerasPrograma Especial de Inmunización Integral (CIM) Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa Especial de Inmunización Integral (CIM), Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.
Claudia OrtizPrograma Especial de Inmunización Integral (CIM) Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa Especial de Inmunización Integral (CIM), Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.
Yenny NeiraOrganización Panamericana de la Salud La Paz Estado Plurinacional de Bolivia Organización Panamericana de la Salud, La Paz, Estado Plurinacional de Bolivia.
Leslie La TorreOrganización Panamericana de la Salud La Paz Estado Plurinacional de Bolivia Organización Panamericana de la Salud, La Paz, Estado Plurinacional de Bolivia.
Sebastián GarcíaDepartamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA) Organización panamericana de la Salud Washington D.C. Estados Unidos de América Departamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA), Organización panamericana de la Salud, Washington D.C., Estados Unidos de América.
Daniel SalasPrograma Especial de Inmunización Integral (CIM) Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa Especial de Inmunización Integral (CIM), Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.
Claudia Jhovana CarrizalesMinisterio de la Salud de Bolivia La Paz Estado Plurinacional de Bolivia Ministerio de la Salud de Bolivia, La Paz, Estado Plurinacional de Bolivia.
Carlos Daniel Echazú TorresMinisterio de la Salud de Bolivia La Paz Estado Plurinacional de Bolivia Ministerio de la Salud de Bolivia, La Paz, Estado Plurinacional de Bolivia.
Javier Rodrigo Ojeda OcampoMinisterio de la Salud de Bolivia La Paz Estado Plurinacional de Bolivia Ministerio de la Salud de Bolivia, La Paz, Estado Plurinacional de Bolivia.
Adrienne CoxDepartamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA) Organización panamericana de la Salud Washington D.C. Estados Unidos de América Departamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA), Organización panamericana de la Salud, Washington D.C., Estados Unidos de América.
Mariela Grisel Villalta CoroMinisterio de la Salud de Bolivia La Paz Estado Plurinacional de Bolivia Ministerio de la Salud de Bolivia, La Paz, Estado Plurinacional de Bolivia.
Thiago Augusto Hernándes RochaDepartamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA) Organización panamericana de la Salud Washington D.C. Estados Unidos de América Departamento de Evidencia e Inteligencia para la Acción en Salud (EIH/HA), Organización panamericana de la Salud, Washington D.C., Estados Unidos de América.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To provide more accurate population estimates to support the operation of Bolivia's immunization program. Methods: This cross-sectional ecological study calculated population estimates using geospatial covariates extracted from Meta Data for Good and WorldPop satellite imagery, and validated them with the results of a microcensus conducted in five Bolivian municipalities. Results: Of the 6077 buildings identified in satellite images, 4505 residential buildings were found to be occupied. Of these, 3087 (68.52%) agreed to participate in the survey. A total of 17 617 people were expected and 13 397 were enumerated. Field enumeration identified fewer people under 30 years of age and more people over 60 years of age than expected. The Meta images provided excellent matches when analyzing population estimates by sex. Meta matched best with enumeration in rural areas, and WorldPop matched best with enumeration in urban areas. Conclusions: This study demonstrates that combining geospatial analysis with microcensus validation can significantly improve health planning, enabling equitable resource distribution and more effective immunization coverage.

Indexed as

Boliviacensuseshealth planningimmunization programsmedical informaticsPublic healthsatellite imagery

Identifiers

PMID40642517
PMCPMC12244383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.