Evidence map›Paper›PMID 37419895›Full record

ArticleScientific data2023

High-resolution gridded population datasets for Latin America and the Caribbean using official statistics.

Tom McKeen, Maksym Bondarenko, David Kerr, Thomas Esch, Mattia Marconcini, Daniela Palacios-Lopez, Julian Zeidler, R Catalina Valle, Sabrina Juran, Andrew J Tatem and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

11 authors.

Tom McKeenWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK. t.l.mckeen@soton.ac.uk.ORCID 0000-0003-4499-7319
Maksym BondarenkoWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.ORCID 0000-0003-4958-6551
David KerrWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Thomas EschGerman Aerospace Centre (DLR), Wessling, Germany.ORCID 0000-0002-5868-9045
Mattia MarconciniGerman Aerospace Centre (DLR), Wessling, Germany.ORCID 0000-0002-5042-5176
Daniela Palacios-LopezGerman Aerospace Centre (DLR), Wessling, Germany.
Julian ZeidlerGerman Aerospace Centre (DLR), Wessling, Germany.
R Catalina ValleUnited Nations Population Fund (UNFPA), Regional Office for Latin America and the Caribbean, Panama, Panama.
Sabrina JuranUnited Nations Population Fund (UNFPA), Regional Office for Latin America and the Caribbean, Panama, Panama.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.ORCID 0000-0002-7270-941X
Alessandro SorichettaDipartimento di Scienze della Terra "A. Desio", Università degli Studi di Milano, Milano, Italy.ORCID 0000-0002-3576-5826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Leaving no one behind" is the fundamental objective of the 2030 Agenda for Sustainable Development. Latin America and the Caribbean is marked by social inequalities, whilst its total population is projected to increase to almost 760 million by 2050. In this context, contemporary and spatially detailed datasets that accurately capture the distribution of residential population are critical to appropriately inform and support environmental, health, and developmental applications at subnational levels. Existing datasets are under-utilised by governments due to the non-alignment with their own statistics. Therefore, official statistics at the finest level of administrative units available have been implemented to construct an open-access repository of high-resolution gridded population datasets for 40 countries in Latin American and the Caribbean. These datasets are detailed here, alongside the 'top-down' approach and methods to generate and validate them. Population distribution datasets for each country were created at a resolution of 3 arc-seconds (approximately 100 m at the equator), and are all available from the WorldPop Data Repository.

Indexed as

Population DynamicsCaribbean RegionHumansLatin AmericaPopulation GrowthSocioeconomic Factors

Identifiers

PMID37419895
PMCPMC10328919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.