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Erschienen in: BMC Women's Health 1/2021

Open Access 01.12.2021 | Research

Neonatal mortality and associated factors in Ethiopia: a cross-sectional population-based study

verfasst von: Habtamu Dessie Mitiku

Erschienen in: BMC Women's Health | Ausgabe 1/2021

Abstract

Background

The neonatal period is the most critical time of human life for diseases. Neonatal morbidity and mortality are significant contributors to under-five morbidity and mortality in a low-income country like Ethiopia. Women are one of the key actors for the improvement of maternal, neonatal, and child healthcare utilization. However, there's no evidence on the association of women’s decision-making autonomy with neonate death at a national level in Ethiopia. Therefore, this study aimed to assess the neonatal mortality and associated factors in Ethiopia.

Methods

A total of 5128 neonates born 5 years before the survey from the Ethiopian Demographic and Health Survey 2016 were reviewed. A multivariable logistic regression model was employed to assess the effect of women's autonomy and identify the determinate predictors of neonate death risk.

Results

The rate of neonatal mortality in Ethiopia was 20.7 per 1000 live births). Women's hadn't autonomy in health care increase neonatal death by 2.72 times compared with those that had autonomy. Hadn't postnatal care was caused grown neonatal death by 5.48 times (AOR 5.48, 95% CI 1.29, 23.26). Delivering at a health institution had 0.61 times lowered neonatal death risk compared with delivering at of health institution without a health facility (AOR 0.61, 95% CI 0.38,0.97). Breastfeeding immediately within 1 h after birth had 0.17 times reduce neonatal death risk compared with not initiation of breastfeeding (AOR 0.17, 95% CI 0.12, 0.26). Women's gave birth single had 0.09 times reduced neonatal death risk than those that gave birth multiple (AOR 0.09, 95% CI 0.05, 0.18). Unknowingly, male neonates had a 1.84 times higher risk of death than females (AOR 1.84, 95% CI 1.20, 2.81).

Conclusions

Neonatal mortality rate was significantly related to women's hadn't decided power on health care, hadn't postnatal care, delivered out of health institution, breastfed not immediately, and gave birth multiple. It is important to encourage mothers autonomy, use postnatal care service, and deliver in health institutions.
Hinweise

Publisher's Note

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Abkürzungen
AOR
adjusted odds ratio
CI
confidence interval
EA
enumeration area
EDHS
Ethiopian Demographic and Health Survey
HIV/AIDS
human immune virus
NMR
neonatal mortality rate
PNC
postnatal care
PSU
primary sampling unit
SDG
sustainable development goal
SPSS
statistical package for social science
STI
sexually transmitted infections

Introduction

The first 28 days from birth is the most critical time of human life for diseases [1]. Globally yearly, 2.6 m infants die before reaching 1 month old. Moreover, one million of them will die on their first day and around 2.6 m are born dead. Mortality of children 1 month–5 years old have reduced significantly in the last decades. But in neonates, it was not significant with 7000 newborns dying daily. The reason is partially due to neonatal diseases are difficult to treat with one drug or intervention; neonates need a systematic approach [2]. Neonatal disease patterns and outcomes are important indicators for sufficient health care planning and the outcomes are the changes in health status on which nursing and medical care have direct influence.
Besides those programs, improving women's autonomy might be produce good outcome for neonate health. When we say women’s autonomy is the ability to access information and make decisions about one's own business [35]. Hence, women’s autonomy undoubtedly contributes to several health advantages for both the mother and their children [6] and it's a priority of proceeding generations. Evidence suggests that women in developing countries often have limited autonomy and control over their health regarded decisions [4]. Even though, both the maternal and neonatal health provision needs a multi-sector approach a robust decision-making autonomy of the mother is vital for reversing back the barriers at the household level [7]. Because, limited women’s decision-making power delays maternal healthcare utilization like antenatal care (ANC), postnatal care (PNC), and delivery health institutions [811]. Besides, limited participation in access to health services for their interest, lower involvement of women in a decision has also impact on the socio-economic, emotional, fertility decision, contraceptive use, and sexual lifetime of the women [12], which results in an entire population problem.
Studies show that the decision-making autonomy of females is low, specifically in developing countries. However, scaling up the women’s role in a decision leads to better uptake of healthcare access, poverty reduction, and household economic growth [4, 1318]. Indeed, in low-income countries, over women's important role in the family, they essentially have seen as an ordinary homemaker.
In Ethiopia, studies show that maternal and neonatal health coverage is low [19]. According to the 2016 Ethiopian demographic health survey (EDHS 2016) report, only 11–18% of women were involved in making decisions alone, and 66–68% together with their husband or partner [20]. Also, the neonatal mortality rate in Ethiopia was 30death per 1000 live births [21]. Most importantly the first 28 days of life is the most vulnerable time for a child’s survival [22]. According to UNICEF, 2020 report, the death proportion of neonates globally on average is 17 death per 1000 live births in 2019, and it dropped by 52% from 38 deaths per 1000 in 1990. Furthermore, the report also shows that around 2.4 million children died in the first month of life, and closely 6700 children died every day of these about 33.33% of all neonatal deaths occurring within the first day after birth, and close to 75% occurring within the first week of birth in 2019 [22].
Despite a downing in the death rate of below the age of the first 28 days after birth in the globe, marked differences in death rates were found to vary from place to place in the world [22]. According to the recent UNICEF report, East Africa and South Asia, placed at the top in neonatal death with a projected rate of twenty-seven and twenty-five deaths per 1,000 live births in 2019, respectively [22]. The report also showed that sub-Saharan Africa neonates were ten times greater risk of death than among who was born in a developed world and the death risk of the neonate in the highest death country was 55 times higher than its counterpart. Of this event, more than 50% of neonate deaths happened in Ethiopia [22].
According to the sustainable development goal agenda of 2030 by improving maternal health care and engagement of women can achieve the reduction of maternal and neonate, infant, and child mortality. To achieve this agenda women's independence in decision-making plays a great role [23, 24]. However, In Ethiopia even though women's autonomy had this much importance their involvement in a decision is still left behind and there is no evidence of its impact on neonate death. Therefore, this study aimed to identify factors associated with neonatal death in Ethiopia. So as to provide a baseline data for further better studies that could be done in the near future especially in Ethiopia, to design appropriate management protocol and recommendations.

Method

Study area and setting

Ethiopia has a total population of 109.5 million in 2018. The 2007 Population and Housing Census results show that the population of Ethiopia grew at an average annual rate of 2.6% between 1994 and 2007, down from 2.8% during the period 1983–1994. Currently, the population growth rate is among the top ten countries in the world and is estimated to grow to over 210 million by 2060. According to UN estimations, life expectancy had improved substantially in recent years with male life expectancy reported to be 56 years and for women 60 years. The estimated number of infant mortality rates are relatively high, as 41 infants die (per 1000 live births). In Ethiopia, the neonate mortality rate is 30 death per (1000 live births) [21].

Data source, sampling, and data collection

A population-based cross-sectional study was conducted at a national level in Ethiopia in 2016. The EDHS 2016 is the fourth and most recent in the Demographic and Health Survey series in Ethiopia [20]. This survey was conducted in nine regional states and two city administrations subdivided into 68 zones, 817 districts, and 16,253 kebeles (lowest local administrative units of the country).
The target group for this study was all neonates in Ethiopia, and those neonates in the selected enumeration areas (EA) were the study population and neonates from unselected enumeration areas were excluded from the study. Stratified two-stage cluster sampling was performed. Samples of EAs were selected independently in each stratum in two stages. At the primary stage, a total of, 260 EAs (82 in urban and 178 in rural areas) were selected with probability sampling proportional to EA size, and secondly, a fixed number of 30 and 36 households per cluster from urban and rural areas respectively were selected randomly. A total of 18,008 households were randomly selected, and 15,683 eligible women were interviewed. Complete information on 5128 live births was extracted from 2016 EDHS. The survey incorporated both women who were permanent household residents (a person's legal resident status in a country of which such person is not a citizen but where he or she has the right to reside permanently) as well as visitors of the household. The survey contained a variety of standard questionnaires recording information on basic socio-demographic information and detailed bio-medical information and women's autonomy.

Outcome variable

The investigator used NMR as the outcome variable using the recommended definition as children age 28 days after birth per 1000 live births during a given year [22].

Independent variables

The independent variables included in this study were demographic and socioeconomic variables such as (age, religion, region, husband education, wealth status of households, place of residence, sources of drinking water, and availability of toilet facilities), maternal health characteristics like(age at first birth, number of children born, previous birth interval, sex of the child, type of birth, place of delivery, mode of delivery, PNC visits), nutritional assessments like when the child put to breastfed and Women's autonomy like( on access to education, own health care service, large household purchases, visits to family or relatives).
  • The women’s autonomy measured based on the response to “Who makes the following decisions in the household about
  • Obtaining own health care service?
  • Large household purchases?
  • Visits to family or relatives?
Response choices were: (a) women alone; (b) women and husband/partner; (c) women and other people; (d) husband/partner alone; (e) someone else; (f) other. This response groped into two as the value of 1 is assigned if the response was (a), (b), or (c), that is, the involvement of the respondent, or else 0, for no involvement of the respondent (d, e and f).

Statistical analysis

For all analyses in this study sampling weight was employed to manage sampling error and non-responses observation. Further details on sample weights can be found in the EDHS report [22]. Descriptive statistics were employed to show the distribution of background characteristics. Binary logistic regression was done to see the association between each independent variable and outcome variable. A log-likelihood ratio (LR) was tested for the goodness of fit. All variables with p < 0.25 in the bivariate analysis were included in the final model of multivariable analysis to control all possible confounders. Variance inflation factor (VIF) > 10 and Tolerance (T) < 0.1 were considered as suggestive of the existence of multi co-linearity. A crude and adjusted odds ratio with 95%CI was estimated to identify determinates for the neonate death cases. In this study p-value < 0.05 was considered to declare a result as a statistically significant association. All analyses were performed using statistical software SPSS (version 25).

Ethics approval

This study is a secondary analysis of a publicly available dataset where permission was obtained through registering with the DHS website and therefore no ethics approval was required.

Results

Socio-demographic characteristics of study participants

A total of 5128 women were included in this study. The median age of the participants was 31 years. The study participants (48.8%) were Muslim by religion and (69.2%) women had no education i.e. more than four out of six mothers. Similarly,(84.1%) women were rural residents, and (52.2%) husbands hadn't education. About (53.3%) of the participants were poor by the combined wealth index of the family. Moreover, around (69.5%) and (55.1%) of the participant were had unimproved drinking water sources and toilet facility respectively (Table 1).
Table 1
Socio-demographic, maternal health, nutritional and women's autonomy related characteristics of the study participants
Characteristics
%
N
Women's autonomy
  
A decision on own health care
  
 Involvement of respondents
82.1
4212
 Without the involvement of respondents
17.9
916
A decision on making large household purchases
  
 Involvement of respondents
75.7
3882
 Without the involvement of respondents
24.3
1246
A decision on visits to family or relatives
  
 Involvement of respondents
80.3
4116
 Without the involvement of respondents
19.7
1012
Demographic and socioeconomic characteristics
  
Age group in years
  
 < 25
15.1
775
 25–29
30.5
1562
 30 or older
54.4
2791
Religion
  
 Orthodox
30.1
1541
 Muslim
48.8
2504
 Others
21.1
1083
Residence
  
 Urban
15.9
816
 Rural
84.1
4312
Respondents Highest level of education
  
 No education
69.2
3550
 Primary
23.4
1200
 Secondary
5.1
259
 Higher
2.3
119
Highest level of husbands/partner education
  
 No education
52.2
2676
 Primary
32.6
1671
 Secondary
8.8
449
 Higher
6.5
332
Wealth index of the family
  
 Poor
53.3
2734
 Medium
15.1
775
 Rich
31.6
1619
Availability of toilet facility
  
 No
44.9
2304
 Yes
55.1
2824
Source of drinking water
  
 Unimproved
69.5
3564
 Improved
30.5
1564
Reproductive history and neonate healthcare service-related characteristics
  
Place of delivery
  
 Respondents home
66.2
3396
 Health facility
33.8
1732
Preceding birth interval in years
  
 < 2
20.6
1057
 2–3
33.3
1710
 4or more
46.0
2361
Age at first birth
  
 < 18
43.3
2218
 18–25
55.4
2842
 26+
1.3
68
Sex of child
  
 Male
51.3
2631
 Female
48.7
2497
Plurality
  
 Single
98.3
5042
 Multiple
1.7
86
Breastfeeding status
  
 Immediate
71.0
3640
 Not immediate
29.0
1488
PNC check-up within two months
  
 No
91.7
4702
 Yes
8.3
426
Neonate status within the 1st 28 days
  
 Alive
97.9
5022
 Died
2.1
106

Maternal health and nutritional related characteristics

From the total study participants, (98.3%) women had a parity of one, and (55.4%) women gave first birth at the age of 18 to 25 years. Moreover, (91.7%) of women hadn't postnatal checkup within 2 months for their most recent delivery (Table 1).
About 82.1%, 75.7%, and 80.3% of women had involvement in decision making on their health care, large household purchases, and family or relatives visits respectively (Table 1).

Neonatal mortality rate

Results of this study showed that the neonatal mortality rate in Ethiopia was 20.7 deaths per (1000 live births). The NMR varied significantly with different settings. For instance, the NMR was higher among illiterate women 15 than among literate women 7 death per (1000 live births). Similarly, NMR with women who were not involved in decision making for their health care was 21 than women who do not involve in decision 19 death per (1000 live births) (Table 2).
Table 2
Neonatal mortality rates (per 1000 live births) distributions of the factors in Ethiopia
Characteristics
NMR
Women's autonomy
 
A decision on own health care
 
 Involvement of respondents
19
 Without the involvement of respondents
21
A decision on making large household purchases
 
 Involvement of respondents
15
 Without the involvement of respondents
21
A decision on visits to family or relatives
 
 Involvement of respondents
17
 Without the involvement of respondents
21
Demographic and socioeconomic characteristics
 
Respondents age group in years
 
 < 25
3
 25–29
7
 30 or older
12
Religion
 
 Orthodox
6
 Muslim
13
 Others
3
Residence
 
 Urban
2
 Rural
19
Respondents highest level of education
 
 No education
15
 Primary
5
 Secondary
1
 Higher
1
Highest level of husbands/partner education
 
 No education
12
 Primary
7
 Secondary
1
 Higher
1
Wealth index of the family
 
 Poor
12
 Medium
5
 Rich
3
Availability of toilet facility
 
 No
11
 Yes
10
Source of drinking water
 
 Unimproved
15
 Improved
6
Reproductive history and neonate healthcare service-related characteristics
 
Place of delivery
 
 Respondents home
13
 Health facility
7
Preceding birth interval in years
 
 < 2
6
 2–3
6
 4or more
9
Age at first birth
 
 < 18
11
 18–25
9
 26+
1
Sex of child
 
 Male
14
 Female
7
Plurality
 
 Single
18
 Multiple
3
Breastfeeding status
 
 Immediate
6
 Not immediate
14
PNC check-up within two months
 
 No
21
 Yes
1

Factors associated with neonate death

From the multivariable logistic regression analysis, women's involvement in their healthcare-related decision-making autonomy, Place of delivery, age at first birth, neonate sex, Plurality, breastfeeding, and PNC had an association with neonatal death. Those women who hadn't been involved in their healthcare-related decision-making autonomy were 2.72 (AOR = 2.72; 95% CI 1.41, 5.24) times higher risk of neonate death risk compared to those who had involvement in maternal and child, neonate health-related decision making autonomy. The death risk of the neonate for those women who delivered at health institutions was 0.61 (AOR = 0.61; 95% CI 0.38, 0.97) times lower than among those women who delivered at their home. Similarly, the death risk of neonate among those women who hadn't PNC checkup was 5.48 (AOR = 0.61; 95% CI 0.38, 0.97) times higher compared to among those women who had PNC. Likewise, those women who had initiation of immediate breastfed were 0.17 (AOR = 0.17; 95% CI 0.12, 0.26) times lower the death risk of neonate than its counterpart. Moreover, the likelihood of neonate death among those women who had single birth were 0.09 (AOR = 0.09; 95% CI 0.05, 0.18) times lower compared to those women who had multiple births. Unlikely, the death risk of male neonates were 1.84 (AOR = 1.84; 95% CI 1.20, 2.81) times higher than female neonates. The death risk for those women who gave birth of age at first birth 18–25 years were 0.32 (AOR = 0.32; 95% CI 0.10,0.99) times lower compared to among those women who gave birth of age at first birth 26 and more (Table 3).
Table 3
Bivariable and multivariable analysis of factors associated with neonate death in Ethiopia (EDHS, 2016)
Selected predictors
Model I
 
Model II
 
 
COR
CI
AOR
CI
Women's autonomy
    
A decision on own health care
    
 Involvement of respondents
1.00
 
1.00
 
 Without the involvement of respondents(ref.)
1.91*
1.02, 3.59
2.72**
1.41, 5.24
Demographic and socioeconomic characteristics
    
Residence
    
 Urban
  
0.52
0.23, 1.20
 Rural (ref.)
  
1.00
 
Respondents age group in years
    
 < 25
  
0.61
0.31, 1.19
 25–29
  
1.00
0.63, 1.59
 30 or older (ref.)
  
1.00
 
Religion
    
 Orthodox
  
1.19
0.57, 2.45
 Muslim
  
1.94
0.99, 3.77
 Others (ref.)
  
1.000
 
Highest level of husbands/partner education
    
 No education
  
1.52
0.49, 4.72
 Primary
  
1.65
0.53, 5.15
 Secondary
  
0.77
0.18, 3.25
 Higher (ref.)
  
1.00
 
Wealth index of the family
    
 Poor
  
0.83
0.44, 1.54
 Medium
  
1.03
0.52, 2.04
 Rich (ref.)
  
1.00
 
Availability of toilet facility
    
 No
  
1.12
0.68, 1.84
 Yes (ref.)
  
1.00
 
Source of drinking water
    
 Unimproved
  
0.70
0.45, 1.11
 Improved (ref.)
  
1.00
 
Reproductive history and neonate healthcare service-related characteristics
    
Place of delivery
    
 Health facility
  
0.61*
0.38, 0.97
 Respondents home
  
1.00
 
Preceding birth interval in years
    
 < 2
  
1.62
0.95, 2.74
 2–3
  
1.08
0.66, 1.77
 4or more (ref.)
  
1.00
 
Age at first birth
    
 < 18
  
0.48
0.16, 1.49
 18–25
  
0.32*
0.10, 0.99
 26+ (ref.)
  
1.00
 
Sex of child
    
 Male
  
1.84**
1.20, 2.81
 Female (ref.)
  
1.00
 
Plurality
    
 Single
  
0.09***
0.05, 0.18
 Multiple (ref.)
  
1.00
 
Breastfeeding status
    
 Immediate
  
0.17***
0.12, 0.26
 Not immediate (ref.)
  
1.00
 
PNC check-up within two months
    
 No
  
5.48*
1.29, 23.26
 Yes (ref.)
  
1.00
 
Constant
0.014***
 
0.05*
 
− 2log likelihood
1026.77
 
861.51
 
Cox and Snell R square
0.001
 
0.033
 
***Significant at p < 0.001; **p < 0.01; *p < 0.05

Discussion

Results show that the neonatal mortality rate in Ethiopia was 20.7 per 1000 live births. This figure is higher than the previous work. Women's independence in a decision on their health care service was a contributor factor for neonate death in Ethiopia. A possible reason could be that autonomous mothers are more capable of accessing available health facilities and that they can greatly change the traditional balances of power and autonomy in familial relationships, with profound effects on child care like reduce their reproductive behavior risks, prolong birth intervals, utilize prenatal care, and immunize their children in general and result in lower neonatal mortality. Besides, women can make decisions on delaying the age at first birth which plays a valuable strategy to promote and improve neonatal health and survival. Usually, adolescent mothers face financial and social problems that cause less provision of kid care. Indeed, the physiological immaturity of teenage mothers causes more neonatal death since they may have a small uterus or narrow bony pelvis and lack social experience in caring for newborns. As a result of empowering, women in decision-making power might be answered all this problem. These findings are consistent with previous studies that assessed the effect of Women's autonomy on maternal and child health service utilization [3, 4, 68, 1012]. Evidence from the previous studies in India has also confirmed that a women’s control over household resources (ability to keep money aside) has a significant positive effect on both the demand for prenatal care and the probability of hospital delivery [13].
The neonate death proportion for delivered at home was higher than delivered at health institutions. The difference might be happening due to a lack of adequate maternal and neonatal care at home. As a result, the newborn baby might not take the immediate nutrition after birth and it is also difficult to fix complications immediately if there is a problem while the mother delivered at home. These findings are supported by the previous studies that focused on the impact of institutional delivery on maternal health care as a result proper medical attention and hygienic conditions during delivery reduce the occurrence of complications and infections which might be caused to death or serious illness for the mother, baby, or both [5, 8, 17, 18, 2124]. Indeed, not only delivered at home had defects but also delivered with week health facilities like no access of skilled providers, poor infrastructure, and substandard quality of care causes the risk of intrapartum-related deaths [1, 2, 9, 15]. However, quality of delivery services and variations in newborn care practices weren't included in these analyses but could affect the risk of neonatal deaths.
The sex of the newborn is also significantly associated with neonatal mortality. Unknowingly in this study being male are more likely to die than among those who are female. Even though, there is no previous study supported the present study the problem might be due to bad cultural practices of the community.
Similarly, the probability of neonatal mortality rate become increase as the number of plurality increases. This effect is mainly associated with the lower birth weight of twins or triplets, which in turn is one of the most important factors affecting neonatal survival. The reason might be that it needs extra demand for food during the first day of the neonate. Since breastfeeding is one of the main sources of nutrition, multiple births might cause neonates' lower calorie intake, and thus lower survival chances [3, 21]. Likewise, breastfeeding is a fundamental concern of proceeding the newborn's life, and the result of this study shown that breastfeeding has a significant positive effect on neonatal mortality. The possible reason might be the deleterious effects of infections related to neonatal deaths can be prevented by breast milk especially practicing breast milk-fed within the first 1hour after birth. This practice not only minimizing the death risk but also helps to wealth and brain development [24].
The death risk of neonate among those women who hadn't PNC checkup was 5.48 times higher compared to those women who had PNC. This might be the prompt postnatal care (PNC) for both the mother and the child is important to treat any complications arising from the delivery, as well as to provide the mother with important information on how to safeguard herself and her kid. Evidence from the previous studies on safe motherhood programs recommends that all women receive a check of their health within 2 days after delivery had a positive effect on the wellbeing of both mothers and neonates [21]. Concerning this, a study in India and rural Sierra Leone indicated that postnatal care has a significant positive effect on neonatal mortality [8, 13, 16, 19, 20, 23, 24].

Strengths and limitations of the study

This study was based on the recent EDHS (2016)with a nationally representative large sample size. Moreover, this study applied both separated and simultaneously multivariable logistic regression modeling to handle the influence of Women's decision making autonomy alone on neonatal mortality and its associated factors based on the EDHS data. Despite the above strengths, the study might have recall bias since the participants were asked about the events that happened 5 years or more preceding the survey. The study also shares the restrictions of cross-sectional studies.

Conclusion

This study showed that the neonatal mortality rate was high and thus the situation is alarming the country and need to be addressed by maternal and child health programs. Neonatal mortality was highly associated with women's autonomy, postnatal care service, place of delivery, breastfeeding, age at first birth, sex of the neonate, and the plurality of birth. The major causes of neonatal mortality were hadn't postnatal care visit, women's limited power on healthcare decision making, and lack of early initiations of breastfeeding as identified by this study. Therefore, many of those cases could be prevented by improving early identification of obstetric complications and immediate interventions, strengthen postnatal care services both at the community as well as in the health care institutions, screening the conditions early during intrapartum and postnatal period to give immediate measures to avoid preventable causes of neonatal mortality. The health professionals are responsible to provide quality postnatal care services for both the mother and the neonate both at health care institutions and in the community. The community is also responsible to seek health information during the prenatal and postnatal period which is provided by health professionals and put into practice. The government is also responsible to provide broadened access to women delivery throughout the country. It is important to encourage mothers independence in decision making on health care service in the family as well as in the community and promoting women's to put breast their child immediately after birth. Also, intervention program needs to be designed for age at first birth to be matured enough. Other scholars should incorporate some of the variables that are not addressed in this study such as distance to the health institutions, Mode of delivery, and cultural aspects. It is also very important if the mixed study design is applied.

Acknowledgements

The author thanks MEASURE DHS for providing access to the data.

Declarations

Not applicable.
Not applicable.

Competing interests

The author declares that there are no competing interests.
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Metadaten
Titel
Neonatal mortality and associated factors in Ethiopia: a cross-sectional population-based study
verfasst von
Habtamu Dessie Mitiku
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Women's Health / Ausgabe 1/2021
Elektronische ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-021-01308-2

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