دورية أكاديمية

Clusters of cause specific neonatal mortality and its association with per capita gross domestic product: A structured spatial analytical approach.

التفاصيل البيبلوغرافية
العنوان: Clusters of cause specific neonatal mortality and its association with per capita gross domestic product: A structured spatial analytical approach.
المؤلفون: Testoni Costa-Nobre D; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Kawakami MD; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Areco KCN; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Sanudo A; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Balda RCX; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Marinonio ASS; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Miyoshi MH; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Konstantyner T; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Bandiera-Paiva P; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Freitas RMV; Fundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil., Morais LCC; Fundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil., Teixeira MP; Fundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil., Waldvogel B; Fundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil., Almeida MFB; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Guinsburg R; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil., Kiffer CRV; Escola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
المصدر: PloS one [PLoS One] 2021 Aug 17; Vol. 16 (8), pp. e0255882. Date of Electronic Publication: 2021 Aug 17 (Print Publication: 2021).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Infant Mortality* , Gross Domestic Product*, Humans ; Infant, Newborn ; Brazil/epidemiology ; Infant ; Spatial Analysis ; Asphyxia Neonatorum/mortality ; Asphyxia Neonatorum/epidemiology ; Cluster Analysis ; Female ; Bayes Theorem ; Cause of Death ; Male
مستخلص: Background: Infant mortality rate is a measure of population health and neonatal mortality account for great proportion of these deaths. Underdevelopment might be associated to higher neonatal mortality risk due to assistant related factors. Spatial and temporal distribution of mortality help identifying and developing strategies for interventions.
Objective: To investigate the cluster areas of asphyxia-associated neonatal mortality and to explore its association with per capita gross domestic product (GDP) in São Paulo State (SP), Brazil.
Methods: Ecological study including live births residents in SP from 2004-2013. Neonatal deaths (0-27 days) with perinatal asphyxia were defined as intrauterine hypoxia, birth asphyxia or meconium aspiration syndrome written in any line of the Death Certificate. Geoprocessing analytical approach included detection of first order effects through quintiles and spatial moving average maps, followed by second order effects by global and local spatial autocorrelation (Moran and LISA, respectively) before and after smoothing with local Bayesian estimates. Finally, Spearman correlation was applied between asphyxia-associated neonatal mortality and mean per capita GDP rates for the municipalities with significant LISA.
Results: There were 6,713 asphyxia-associated neonatal deaths among 5,949,267 live births (rate: 1.13/1000) in SP. Spatial moving average maps showed a non-random distribution among municipalities, with presence of clusters (I = 0.048; p = 0.023). LISA map identified clusters of asphyxia-associated neonatal mortality in the south, southeast and northwest. After applying local Bayes estimates, clusters were more pronounced (I = 0.589; p = 0.001). There was a partial overlap of the areas of higher asphyxia-associated neonatal mortality and lower mean per capita GDP.
Conclusions: Spatial analysis identified cluster areas of high asphyxia-associated neonatal mortality and low per capita GDP rates, with a significant negative correlation. This optimized, structured, and hierarchical approach to identify high-risk areas of cause-specific neonatal mortality may be helpful for guiding public health efforts to decrease neonatal mortality.
Competing Interests: The authors have declared that no competing interests exist.
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تواريخ الأحداث: Date Created: 20210817 Date Completed: 20240725 Latest Revision: 20240725
رمز التحديث: 20240726
مُعرف محوري في PubMed: PMC8370610
DOI: 10.1371/journal.pone.0255882
PMID: 34403438
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0255882