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Cause-specific neonatal mortality: analysis of 3772 neonatal deaths in Nepal, Bangladesh, Malawi and India

وفيات حديثي الولادة الخاصة بالأسباب: تحليل 3772 حالة وفاة لحديثي الولادة في نيبال وبنغلاديش وملاوي والهند
Authors: Edward Fottrell; David Osrin; Glyn Alcock; Kishwar Azad; Ujwala Bapat; James Beard; Austin Bondo; +20 Authors

Cause-specific neonatal mortality: analysis of 3772 neonatal deaths in Nepal, Bangladesh, Malawi and India

Abstract

Objective Understanding the causes of death is key to tackling the burden of three million annual neonatal deaths. Resource-poor settings lack effective vital registration systems for births, deaths and causes of death. We set out to describe cause-specific neonatal mortality in rural areas of Malawi, Bangladesh, Nepal and rural and urban India using verbal autopsy (VA) data. Design We prospectively recorded births, neonatal deaths and stillbirths in seven population surveillance sites. VAs were carried out to ascertain cause of death. We applied descriptive epidemiological techniques and the InterVA method to characterise the burden, timing and causes of neonatal mortality at each site. Results Analysis included 3772 neonatal deaths and 3256 stillbirths. Between 63% and 82% of neonatal deaths occurred in the first week of life, and males were more likely to die than females. Prematurity, birth asphyxia and infections accounted for most neonatal deaths, but important subnational and regional differences were observed. More than one-third of deaths in urban India were attributed to asphyxia, making it the leading cause of death in this setting. Conclusions Population-based VA methods can fill information gaps on the burden and causes of neonatal mortality in resource-poor and data-poor settings. Local data should be used to inform and monitor the implementation of interventions to improve newborn health. High rates of home births demand a particular focus on community interventions to improve hygienic delivery and essential newborn care.

Keywords

Male, Malawi, Epidemiology, Economics, Malawi/epidemiology, Neonatal death, Health Professions, FOS: Health sciences, Infant mortality, Pediatrics, Health Information Management, Pregnancy, Cause of Death, Infant Mortality, Prospective Studies, Global Maternal and Child Health Outcomes, Measurement, Bangladesh, Nutrition and Dietetics, Data Collection, Population Surveillance/methods, Maternal Mortality, Environmental health, Population Surveillance, Child Mortality, Medicine, Autopsy/methods, Female, Autopsy, Child mortality, Nepal/epidemiology, Population, 610, India, Nursing, Global Child Health, 618, Fetus, Nepal, Health Sciences, Patterns and Outcomes of Healthcare Admissions and Policies, Genetics, Humans, Mortality, Sex Distribution, Biology, Bangladesh/epidemiology, Neonatal mortality, Maternal and Child Nutrition in Developing Countries, Infant, India/epidemiology, Socioeconomics, FOS: Biological sciences, Pediatrics, Perinatology and Child Health, Neonatology

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
Green
hybrid