Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

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

Bibliographic Data

ID15365587
AuthorsKarina Lalangui (0000-0001-8506-4107, Instituto Nacional de Investigación en Salud Pública, corresponding author), Karina Rivadeneira Maya (0000-0003-3371-0386, Ministerio de Salud Pública), Christian Sánchez-Carrillo (0000-0003-0498-9269, Universidad Autónoma del Estado de México), Gersain Sosa Cortéz (0000-0002-0162-235X, Universidad Autónoma del Estado de México), Emmanuelle Quentin (0000-0001-5600-2361, Universidad UTE)
Year2022
Volume22
Issue1
Pages1841-1841
Publication date2022-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-022-14242-1
PMID36183054
OpenAlexW4298621132
LanguageEN
Citations received1
References cited28

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

Biostatistics · Child mortality · Environmental health · Geography · Infant mortality · Mortality rate · Population · Public health · Socioeconomics · Statistic · Statistics · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Medicine

  • Addressing social determinants of health and equity in early childhood

    Open Access•Grace Navarrete Chávez, Alex García Gutiérrez et al.•International Journal for Equity…•2026

  • Applied Spatial Statistics for Public Health Data

    Open Access•Lance A Waller, Carol A Gotway•Applied spatial statistics for…•2004

  • Neonatal mortality

    Open Access•Mats Målqvist•Global Health Action•2011

  • Trends in non-communicable disease mortality among adult residents in Nairobi's slums, 2003–2011

    Open Access•Samuel Oti, Samuel O Oti et al.•Global Health Action•2014

  • Reforma de salud en Ecuador

    Open Access•Miguel Malo-Serrano, Nicolás Malo-Corral•Revista Peruana de Medicina…•2014

  • Socio-economic factors associated with infant mortality in Italy

    Open Access•Laura Dallolio, Valentina Di Gregori et al.•International Journal for Equity…•2012

  • Modelling local patterns of child mortality risk

    Open Access•Alejandro Lome-Hurtado, Jacques Lartigue Mendoza et al.•BMC Public Health•2021

  • Infant mortality rate as an indicator of population health

    Daniel D Reidpath, P Allotey•Journal of Epidemiology and…•2003

  • Local Indicators of Spatial Association—Lisa

    Open Access•Luc Anselin•Geographical Analysis•1995

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae