Evidence map›Paper›PMID 36183054›Full record

ArticleBMC public health2022

The spatio-temporal dynamics of infant mortality in Ecuador from 2010 to 2019.

Karina Lalangui, Karina Rivadeneira Maya, Christian Sánchez-Carrillo, Gersain Sosa Cortéz, Emmanuelle Quentin

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Karina LalanguiCentro de Investigación EpiSIG, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador. lalanguik@gmail.com.ORCID 0000-0001-8506-4107
Karina Rivadeneira MayaMinisterio de Salud Pública, Quito, Ecuador.ORCID 0000-0003-3371-0386
Christian Sánchez-CarrilloFacultad de Geografía, Universidad Autónoma del Estado de México, Toluca, México.ORCID 0000-0003-0498-9269
Gersain Sosa CortézFacultad de Geografía, Universidad Autónoma del Estado de México, Toluca, México.ORCID 0000-0002-0162-235X
Emmanuelle QuentinCentro de Investigación en Salud Pública Y Epidemiología Clínica (CISPEC), Universidad UTE, Quito, Ecuador.ORCID 0000-0001-5600-2361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The infant mortality rate (IMR) is still a key indicator in a middle-income country such as Ecuador where a slightly increase up to 11.75 deaths per thousand life births has been observed in 2019. The purpose of this study is to propose and apply a prioritization method that combines clusters detection (Local Indicators of Spatial Association, LISA) and a monotonic statistic depicting time trend over 10 years (Mann-Kendall) at municipal level. Annual national databases (2010 to 2019) of live births and general deaths are downloaded from National Institute of Statistics and Censuses (INEC). The results allow identifying a slight increase in the IMR at the national level from 9.85‰ in 2014 to 11.75‰ in 2019, neonatal mortality accounted for 60% of the IMR in the last year. The LISA analysis allowed observing that the high-high clusters are mainly concentrated in the central highlands. At the local level, Piñas, Cuenca, Ibarra and Babahoyo registered the highest growth trends (0.7,1). The combination of techniques made it possible to identify eight priority counties, half of them pertaining to the highlands region, two to the coastal region and two to the Amazon region. To keep infant mortality at a low level is necessary to prioritize critical areas where public allocation of funds should be concentrated and formulation of policies.

Indexed as

CensusesInfant MortalityEcuadorHealth ServicesHumansIncomeInfantInfant, NewbornEcuadorInfant mortality rateSpatial clustersSpatio-temporal analysisTime trends

Identifiers

PMID36183054
PMCPMC9526949

What OpenQuestion holds

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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.