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

Datos Bibliográficos

ID15365587
AutoresKarina Lalangui (0000-0001-8506-4107, Instituto Nacional de Investigación en Salud Pública, autor de correspondencia), 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)
Año2022
Volumen22
Número1
Páginas1841-1841
Fecha de publicación2022-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMC Public Health (JOURNAL)
Identificadores de la revistaISSN: 1471-2458 • E-ISSN: 1471-2458
EditorialBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-022-14242-1
PMID36183054
OpenAlexW4298621132
IdiomaEN
Citas recibidas1
Referencias citadas28

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

Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
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