scholarly journals Modelling Neonatal Mortality Rate in Nigeria Using a Continuous Poisson-Lindley Distribution

2021 ◽  
pp. 6-16
Author(s):  
Gerald Ikechukwu Onwuka ◽  
Abraham Iorkaa Asongo ◽  
Ishako Ara Bako ◽  
Collins Aondona Ortese ◽  
Hassan Allahde
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Neonatal Period ◽  
Childhood Mortality ◽  
Neonatal Mortality Rate ◽  
Unknown Parameters ◽  
Lindley Distribution ◽  
Infant Deaths ◽  
Proposed Model ◽  
Method Of Maximum Likelihood

Nigeria’s effort to reduce under-five mortality has been biased in favour of childhood mortality to the neglect of neonates and as such the literature is short of adequate information on the determinants of neonatal mortality, whereas studies have shown that about half of infant deaths occur in the neonatal period. Knowledge of the determinants of neonatal mortality is essential for the design of intervention programmes that will enhance neonatal survival. Therefore, this study was conducted to investigate the trends in neonatal mortality in Nigeria. It also proposed a Poisson based continuous probability distribution called Poisson-Lindley distribution to neonatal mortality rate in Nigeria. Some properties of the new model and other relevant measures were obtained. The unknown parameters of the model were also estimated using the method of maximum likelihood. The fitness of the proposed model to the neonatal mortality rate was considered using a dataset on neonatal mortality rate from 1967 to 2019.

Neonatal Mortality Rate in Aseptic Neonatal Care Unit of Al-Sadder Teaching Hospital in Missan Province From 2011 to 2014

2016 ◽  
Vol 12 (27) ◽  
pp. 55
Author(s):  
Esraa Abd Al-Muhsen Ali
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Teaching Hospital ◽  
Causes Of Death ◽  
Neonatal Period ◽  
Birth Asphyxia ◽  
Neonatal Care ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Neonatal Care Unit

Background: The neonatal mortality rate is a key outcome indicator for newborn care and directly reflects prenatal, natal, and postnatal care. Early neonatal deaths are more closely associated with pregnancy-related factors and maternal health, whereas late neonatal deaths are associated more with factors in the newborn‘s environment. Objectives: To estimate the neonatal mortality rate in Aseptic Neonatal Care Unit of Al-Sadder Teaching Hospital in Missan Province during period (2011-2014). To determine the most common causes of death in the neonatal period. Patients and methods: A hospital-based study was done depending on data collected from records of the Aseptic Neonatal Care Unit of Al-Sadder Teaching Hospital in Missan Province to calculate the number of deaths within the neonatal period (0-28 days) that was conducted from 2011 to 2014. The other line of data was collected from Obstetrical Ward by calculating number of live births for the same period. Then Neonatal Mortality Rate is calculated and conducted for each year according to the method recommended by WHO. Results: The neonatal mortality rates were 12.15, 13.51, 16.37 and16.11 in 2011 to 2014 respectively in which there was an increment in mortality rate. The main causes of death were respiratory distress syndrome, birth asphyxia and congenital anomalies. Conclusion: Neonatal mortality rate was high in the Aseptic Neonatal Care Unit of Al-Sadder Teaching Hospital, but it was less than the previous period in Iraq since 1990. These results suggest, that to decrease neonatal mortality, improved health service quality is crucial.

scholarly journals Neonatal mortality and its determinates in public hospitals of Gamo and Gofa zones, southern Ethiopia: prospective follow up study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Abera Mersha ◽  
Agegnehu Bante ◽  
Shitaye Shibiru
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Goodness Of Fit ◽  
Neonatal Period ◽  
Public Hospitals ◽  
Southern Ethiopia ◽  
Neonatal Mortality Rate ◽  
Live Births ◽  
Follow Up Study

Abstract Background The neonatal period is the most vulnerable time for child survival. The declines in the neonatal mortality rate have been slower than the post-neonatal under-five mortality rate in the majority of countries. This trend is also similar in Ethiopia, that neonatal mortality was high as compared to the post-neonatal mortality rate. A large proportion of neonatal deaths occur during the 48 h after delivery. Different studies were conducted in assessing determinates for neonatal mortality but there is a need to assess the immediate postnatal (within 2 days following delivery) cause of neonatal mortality that the majority of deaths occurred at that time. So, this study is to fill those gaps of the aforementioned studies, in assessing the determinate factors affecting neonatal mortality in public hospitals of Gamo and Gofa Zones, Southern Ethiopia. Methods A prospective follow up study was conducted among 6769 study participants from April 5, 2018, to March 5, 2019. All live births at the hospitals during the study period were included in this study. A structured verbal autopsy questionnaire was used to collect the data on the causes of neonatal death. Data were entered into Epi data version 3.1 and exported to Stata version 15 for analysis. Crude and adjusted estimate β with 95%CI was calculated in the binary logistic regression model. A log-likelihood ratio (LR) was tested for goodness of fit. In this study P-value < 0.05 was considered to declare a result as a statistically significant association. Results In this study, neonatal mortality incidence ratio was 9.6 (95%CI: 7.5, 12.2) per 1000 live births. Age of the mother, number of antenatal care visits, sex of the neonate, presentation, and gestational age were identified as the significant determinates for neonatal mortality cases. Prematurity, infection, and birth asphyxia were the most common causes of neonatal mortality cases. Conclusions This study indicated that a significant number of neonates died during the neonatal period. Both maternal and neonatal factors were identified. Therefore, early identification of obstetric complications and immediate interventions, strengthening the provision of quality antenatal and postnatal care services are recommended.

scholarly journals Neonatal Mortality and Its Determinates in Public Hospitals of Gamo and Gofa Zones, Southern Ethiopia: Prospective Follow up Study

2019 ◽  
Author(s):  
Abera Mersha ◽  
Agegnehu Bante ◽  
Shitaye Shibiru
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Neonatal Period ◽  
Public Hospitals ◽  
Southern Ethiopia ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Live Births ◽  
Follow Up Study

Abstract Abstract Background: The neonatal period is the most vulnerable time for child survival. The declines in the neonatal mortality rate have been slower than the post-neonatal under-five mortality rate in the majority of countries. This trend is also similar in Ethiopia, that neonatal mortality was high as compared to the post-neonatal mortality rate. A large proportion of neonatal deaths occur during the 48 hours after delivery. Different studies were conducted in assessing determinates for neonatal mortality but there is a need to assess the immediate postnatal (within two days following delivery) cause of neonatal mortality that the majority of deaths occurred at that time. So, this study is to fill those gaps of the aforementioned studies, in assessing the determinate factors affecting neonatal mortality in public hospitals of Gamo and Gofa Zones, Southern Ethiopia. Methods: A prospective follow up study was conducted among 6,986 study participants from April 5, 2018, to March 5, 2019. All live births at the hospitals during the study period were included in this study. Data on causes of neonatal death were collected by using a structured verbal autopsy questionnaire. Data were entered into Epi data version 3.1 and exported to Stata version 15 for analysis. Crude and adjusted estimate β with 95%CI was calculated in the binary logistic regression model. The goodness of fit was tested by a log-likelihood ratio (LR). In this study P-value < 0.05 was considered to declare a result as a statistically significant association. Results: In this study, neonatal mortality incidence ratio was 9.6 (95%CI: 7.5, 12.2) per 1000 live births. Age of the mother, number of antenatal care, hemorrhage, sex of the neonate, presentation, gestational age and birth weight were identified as the significant determinates for neonatal mortality. Prematurity, infection, and birth asphyxia were the most common causes of neonatal mortality cases. Conclusions: This study indicated that a significant number of neonates died during the neonatal period. Both maternal and neonatal factors were identified. Therefore, early identification of obstetric complications and immediate interventions, strengthening the provision of quality antenatal and postnatal care services are recommended. Keywords: Neonatal Mortality; Neonatal Deaths

scholarly journals Neonatal Mortality and its Determinates in Public Hospitals of Gamo and Gofa Zones, Southern Ethiopia: Prospective Follow up Study

2019 ◽  
Author(s):  
Abera Mersha ◽  
Agegnehu Bante ◽  
Shitaye Shibiru
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Goodness Of Fit ◽  
Neonatal Period ◽  
Birth Asphyxia ◽  
Public Hospitals ◽  
Southern Ethiopia ◽  
Neonatal Mortality Rate ◽  
Follow Up Study

Abstract Background The neonatal period is the most vulnerable time for a child survival. The declines in the neonatal mortality rate have been slower than post-neonatal under-five mortality rate in the majority of countries. This this trend is also similar in Ethiopia, that neonatal mortality was high as compare to post neonatal mortality rate. A large proportion of neonatal deaths occur during the 48 hours after delivery. Different studies was conducted in assessing determinates for neonatal mortality but there is a need to assess the immediate post-partum (within two days following delivery) cause of neonatal mortality that the majority of deaths occurred that time. So, this study is to fill those gaps of aforementioned studies, in assessing the determinate factors affecting neonatal mortality in public hospitals of Gamo and Gofa Zones, Southern Ethiopia. Methods A prospective follow up study was conducted among 6,986 study participants from April 5, 2018 to March 5, 2019. Data on causes of neonatal death were collected by using structured verbal autopsy questionnaire. Data were entered in to Epi data version 3.1 and exported to Stata version 15 for analysis. Crude and adjusted estimate β with 95%CI was calculated in the binary logistic regression model. The goodness of fit was tested by log likelihood ratio (LR). In this study P-value < 0.05 was considered to declare a result as statistically significant association. Results In this study neonatal mortality incidence ratio was 9.6 (95%CI: 7.5%, 12.2%) per 1000 live births. Age of the mother, number of antenatal care, hemorrhage, sex of the neonate, presentation, gestational age and birth weight were identified as the significant determinates for neonatal mortality cases. Prematurity, infection and birth asphyxia were the most common causes of neonatal mortality cases. Conclusions This study indicated that a significant number of neonates were died during neonatal period. Both maternal and neonatal factors were identified. Therefore, early identification of obstetric complications and immediate interventions, strengthening the provision of quality antenatal and postnatal care services are recommended.

IMPACT OF NEONATAL INTENSIVE CARE

PEDIATRICS ◽  
1996 ◽  
Vol 97 (2) ◽  
pp. 215-215
Author(s):  
Student
Keyword(s):  
Intensive Care ◽  
Birth Weight ◽  
Mortality Rate ◽  
Neonatal Mortality ◽  
Neonatal Intensive Care ◽  
Neonatal Mortality Rate ◽  
Total Reduction ◽  
Weight Groups

Neonates who weighed &gt; 1.5 kg at birth were the major contributors to the overall reduction in the neonatal mortality rate (NMR); approximately two thirds of total reduction in the NMR between 1960 and 1980 and 52.6% of the total reduction between 1980 and 1986 occurred in the &gt; 1.5-kg birth weight groups.

The Mortality of Extremely Premature Infants and the Impact on the Overall Neonatal Mortality Rate [20C]

2016 ◽  
Vol 127 ◽  
pp. 31S
Author(s):  
Horatio S. Falciglia ◽  
William K. Brady ◽  
Ronald Merkel ◽  
Vickie Glover ◽  
Angela N. Fellner
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Premature Infants ◽  
Neonatal Mortality Rate ◽  
The Impact

scholarly journals Infant mortality: comparison between two birth cohorts from Southeast and Northeast, Brazil

2004 ◽  
Vol 38 (6) ◽  
pp. 773-779 ◽  
Author(s):  
Valdinar S Ribeiro ◽  
Antônio A M Silva ◽  
Marco A Barbieri ◽  
Heloisa Bettiol ◽  
Vânia M F Aragão ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Protective Factor ◽  
Infant Mortality Rate ◽  
Northeast Brazil ◽  
Birth Cohorts ◽  
Neonatal Mortality Rate ◽  
Live Births

OBJECTIVE: To obtain population estimates and profile risk factors for infant mortality in two birth cohorts and compare them among cities of different regions in Brazil. METHODS: In Ribeirão Preto, southeast Brazil, infant mortality was determined in a third of hospital live births (2,846 singleton deliveries) in 1994. In São Luís, northeast Brazil, data were obtained using systematic sampling of births stratified by maternity unit (2,443 singleton deliveries) in 1997-1998. Mothers answered standardized questionnaires shortly after delivery and information on infant deaths was retrieved from hospitals, registries and the States Health Secretarys' Office. The relative risk (RR) was estimated by Poisson regression. RESULTS: In São Luís, the infant mortality rate was 26.6/1,000 live births, the neonatal mortality rate was 18.4/1,000 and the post-neonatal mortality rate was 8.2/1,000, all higher than those observed in Ribeirão Preto (16.9, 10.9 and 6.0 per 1,000, respectively). Adjusted analysis revealed that previous stillbirths (RR=3.67 vs 4.13) and maternal age <18 years (RR=2.62 vs 2.59) were risk factors for infant mortality in the two cities. Inadequate prenatal care (RR=2.00) and male sex (RR=1.79) were risk factors in São Luís only, and a dwelling with 5 or more residents was a protective factor (RR=0.53). In Ribeirão Preto, maternal smoking was associated with infant mortality (RR=2.64). CONCLUSIONS: In addition to socioeconomic inequalities, differences in access to and quality of medical care between cities had an impact on infant mortality rates.

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