Causes of preterm and low birth weight neonatal mortality in a rural community in Kenya: evidence from verbal and social autopsy
BMC Pregnancy and Childbirth volume 21, Article number: 536 (2021)
Under-five mortality in Kenya has declined over the past two decades. However, the reduction in the neonatal mortality rate has remained stagnant. In a country with weak civil registration and vital statistics systems, there is an evident gap in documentation of mortality and its causes among low birth weight (LBW) and preterm neonates. We aimed to establish causes of neonatal LBW and preterm mortality in Migori County, among participants of the PTBI-K (Preterm Birth Initiative-Kenya) study.
Verbal and social autopsy (VASA) interviews were conducted with caregivers of deceased LBW and preterm neonates delivered within selected 17 health facilities in Migori County, Kenya. The probable cause of death was assigned using the WHO International Classification of Diseases (ICD-10).
Between January 2017 to December 2018, 3175 babies were born preterm or LBW, and
164 (5.1%) died in the first 28 days of life. VASA was conducted among 88 (53.7%) of the neonatal deaths. Almost half (38, 43.2%) of the deaths occurred within the first 24 h of life. Birth asphyxia (45.5%), neonatal sepsis (26.1%), respiratory distress syndrome (12.5%) and hypothermia (11.0%) were the leading causes of death. In the early neonatal period, majority (54.3%) of the neonates succumbed to asphyxia while in the late neonatal period majority (66.7%) succumbed to sepsis. Delay in seeking medical care was reported for 4 (5.8%) of the neonatal deaths.
Deaths among LBW and preterm neonates occur early in life due to preventable causes. This calls for enhanced implementation of existing facility-based intrapartum and immediate postpartum care interventions, targeting asphyxia, sepsis, respiratory distress syndrome and hypothermia.
The World Health Organization (WHO) estimates that 15 million babies are born preterm annually and approximately one million succumb to death in their first 4 weeks of life due to complications of prematurity. Preterm birth has been reported to be the leading cause of neonatal death [1,2,3,4,5]. Infants born preterm are four times more likely than term infants to die during the neonatal period (first 28 days) and infancy (first year) . Mortality rates increase proportionally with decreasing gestational age or birth weight [7, 8]. Preterm babies born in developed countries have almost ten times better survival rates compared to those born in low-resource settings ( http://www.who.int/maternal_child_adolescent/documents/born_too_soon/en/). South Asia and sub-Saharan Africa account for over three-quarters of the world’s newborn deaths due to preterm birth and its complications . Most deaths in preterm babies in the developing nations occur from preventable causes such as infection, asphyxia, hypothermia, and hypoglycemia. Moreover, > 80% are born between 32 and 37 weeks of gestation (moderate/late preterm), and many die needlessly for lack of simple, essential care such as warmth and feeding support .
Babies born weighing less than 2500 g are termed low birth weight. Their births can be related to premature delivery, as well as, associated with the restriction of intrauterine growth or the relationship between both situations . In sub-Saharan Africa, 14 percent of babies are born with low birthweight (LBW), and have an infant mortality rate 77 times higher than normal-weight babies .
The Every Newborn Action Plan (ENAP), a road map to reduce preventable neonatal deaths advocates for strengthening death surveillance through supporting the community in reporting and reviewing causes of maternal and neonatal deaths [12, 13]. Kenya ranks sixth among the African countries with the most newborn deaths . The 2014 Kenyan demographic health survey documents that five years preceding the survey under-five mortality rate declined from 74/1000 to 52/1,000 live births and infant mortality decreased from 52/1,000 to 39/1,000 live births however, neonatal mortality rates declined from 31/1,000 to only 22/1,000 live births . Despite the progressive decline in under five and infant mortality, there has been slow progress in reducing neonatal mortality.
Understanding causes of and circumstances preceding both preterm and low birth weight neonatal death, is essential for accelerating progress towards Sustainable Development Goal (SDG) 3, target 3.2, that aims at reducing neonatal mortality rates to 12 per 1,000 live births by 2030. Integrating verbal and social autopsy has given compelling results for improving maternal and child survival estimates. In Burkina Faso and Indonesia, D’Ambruoso et al. demonstrated that VASA results can be used for planning and prioritization of interventions that improve maternal health . In emergencies, VASA has been used to identify gaps in civil registration and strengthen health systems in times of crisis. In Niger, the use of VASA data with effective feedback led to evidence-based decision-making and program improvement in child health [3, 15,16,17,18].
Effective and efficient Civil Registration and Vital Statistics (CRVS) is the gold standard for generating reliable data on demography, mortality, and causes of death data , however, it is estimated that more than half the deaths that occur among Kenyan neonates remain unreported .
This study aimed to determine the causes of death among preterm and low birth weight (LBW) neonates born in selected health facilities in Migori county between January 1, 2017, to December 31, 2018.
We conducted a descriptive cross-sectional study for all preterm and low birth weight (LBW) neonatal deaths that occurred January 1, 2017, to December 31, 2018 in 17 selected health facilities in Migori County, Western Kenya.
The study population included a cohort of preterm and LBW neonates enrolled in an implementation science study conducted by the Preterm Birth Initiative (PTBi), a collaboration among Kenya Medical Research Institute (KEMRI), Makerere University and University of California, San Francisco. The initiative employed a package of selected interventions to improve birth outcomes and reduce morbidity and mortality of preterm and low birth weight babies in selected health facilities in Migori County, Kenya and Busoga region in Uganda. The study areas and the intervention package are described in detail in the published study protocol .
In Kenya, the 17 selected health facilities in Migori County, included one county referral hospital, 14 government health facilities and two missionary hospitals. The selected facilities were high volume in terms of annual deliveries compared to other facilities within the county. All babies born with birth weight < 2500 g (LBW); or birth weight ≥ 2500 and < 3000 g with documented or calculated gestational age less than 37 weeks (preterm) were eligible for enrollment into the study. Upon consenting, mothers who delivered live low birth weight and preterm babies were followed up to determine status of the baby at day 28. The baby’s status was recorded in the PTBi database.
The caregivers of babies who had died within 28 days of life were invited to participate in the VASA study. Babies who died before discharge were identified from the health facility maternity registers and the ones who died post-discharge were identified from the PTBi database. We abstracted identifying contact information of the deceased neonates onto the VASA study locator form. The provided phone contact and/or physical location information was used to reach out to the mothers/caregivers of the deceased neonates for an appointment. In case the contact information was missing, or the provided contact was unreachable after three phone attempts, Community Health Volunteers helped to trace the study participant within the indicated village of residence. A caregiver was declared lost to follow up after 3 attempts using all possible methods to trace her.
The identified households were visited by research assistants trained on VASA to administer the VASA questionnaire for data collection. This was done at least two weeks after the death of the baby, to allow for the mourning period. The appropriate respondent was the person involved in primary care for the neonate before he/she died. In most cases this would be the mother, however, secondary respondents were allowed, if necessary, to capture information on all phases of the illness, including the mother’s pregnancy and delivery, during which she may herself have been too ill and unaware of the neonates’ condition. For respondents who had multiple neonatal deaths, the questionnaire was administered for each baby except for the socio-demographic section.
The VASA questionnaire used for data collection was adapted from the WHO standardized verbal autopsy questionnaire for deaths that occur before 28 days  and social autopsy questionnaire from the Child Health Epidemiology Reference Group (CHERG) . The questionnaire is divided into three main sections; the first section covers general information for deceased neonates, demographics of the deceased, and household and socio-demographic characteristics of the respondent. The second section covers the circumstances surrounding the child’s death, including signs and symptoms of any illness, the caregiver’s perception of the illness, actions taken and care sought. Any barriers to seeking care are also noted. In addition to neonatal deaths, this section also asks questions about the maternal history, including the mother’s antenatal care and care-seeking for obstetric complications, and about newborn care before and during the illness. The third section is an open narrative that allows the caregiver to narrate about the baby’s illness and events preceding death in his or her own words. Any health records provided by the caregiver describing the treatment the child received were also noted.
Assigning cause of death
To assign a probable cause of death, two clinicians trained on the WHO International Classification of Diseases (ICD 10) independently reviewed the signs and symptoms recorded on the questionnaires. If the same diagnosis was reached by the two physicians, this was accepted as the probable cause of death. If there was a discrepancy between diagnoses, an independent third physician was involved to determine a consensus on the probable cause of death.
Data management and analysis
Completed questionnaires were checked for completeness, validity and reliability. Data were entered into a Microsoft Access database then transferred into Stata 12 statistical software for cleaning and analysis. Descriptive statistics presented measures of central tendencies for quantitative data, including mean (standard deviation), median (range) and frequency distributions (frequencies and percentages). Data were presented in tables and graphs.
Reporting of the study conforms to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement .
During the VASA study period (January 1, 2017, to December 31, 2018, 3204 (8.0%) babies were born preterm or LBW and a total of 164 (5.1%) of the neonates died during the study period. Among the neonates who died, we conducted VASA for 88 (53.7%) deaths. Figure 1 illustrates the flow of the study population.
Socio-demographic, household and obstetric characteristics of mothers and characteristics of the deceased neonates are shown in Table 1. A total of 82 mothers were interviewed, among them were six mothers who had multiple births. The majority of the mothers 74 (91.4%) were above 18 years and all had some formal education. Farming was the mother’s main occupation. The distribution of male and female neonates who died was similar. Over three-quarters of the neonates died in the health facilities within their first week of life. Breast milk feeding within the first hour was initiated among 53/84 (63%) neonates while kangaroo care was practiced on only one neonate.
Care pathway for the deceased neonates
Mothers of 84 neonates who died recognized some signs and symptoms of the baby’s illness. The symptoms commonly reported were difficulty in breathing (59.1%), fast breathing (12.5%) and feeling cold to touch (11.4%) among others listed in Table 2 below. Figure 2 illustrates the care seeking pathway to the deceased neonates. Four babies died immediately after birth while 20 babies died suddenly at the health facility before discharge. Formal care defined as care by a formally trained and certified health care practitioner, was administered to 33/57 (57.9%) babies at the health facility before discharge. Among thirty one babies who had been previously discharged from the health facility to go home, formal care was sought for 26/31 (83.9%) babies and majority of them 21/26 (80.8%) were referred to a second health care provider. One mother did not take the baby for formal healthcare citing that it was late at night and there was no available means of transport to the hospital. Mothers of three neonates who did not seek any care for their babies did not perceive the illness to be severe as to warrant immediate medical attention.
Distribution of causes of death among preterm or LBW neonates
Figure 3 below illustrates the distribution of causes of death by ICD 10 coding. Birth asphyxia (45.5%), neonatal sepsis (26.1%) and respiratory distress syndrome (12.5%) were the three leading causes of neonatal deaths.
Distribution of causes of death by discharge status and neonatal period
Asphyxia, respiratory distress syndrome, and hypothermia, were the leading causes of death for babies who died before discharge. Neonatal sepsis was the leading cause of death for babies who were discharged from the health facility. In the early neonatal period (0–6 days) the leading causes of death were asphyxia (54.3%), sepsis (15.7%), respiratory distress syndrome (15.7%), and hypothermia (10.0%). Among late neonatal deaths (7–28 days), sepsis (66.7%), hypothermia (16.7%) and asphyxia (11.1%) were the leading causes. See Table 3 below.
The distribution of age at the time of death in Fig. 4 below indicates that the proportion of babies who died in the first week was 78.4%. A total of 38 (43.2%) neonates died within the first 24 h and of these, 53% died pre-discharge.
Death by gestational age
Among children born less than 37 weeks, the proportion of death due to asphyxia was almost similar across the different gestational age groups. The proportion of death due to neonatal sepsis and respiratory distress syndrome increased with increasing gestational age peaking at > / = 32 to < 37, and declined slightly at > / = 37, while deaths due to hypothermia reduced with increasing age (Fig. 5).
The leading probable causes of the neonatal death among preterm or LBW infants were birth asphyxia (45.5%), neonatal sepsis (26.1%), respiratory distress (12.5%), and hypothermia (11%). These findings reaffirm the report of other studies in Ghana and Bangladesh that indicate that most neonates die as a result of prematurity, birth asphyxia and sepsis .
Asphyxia accounted for almost half of all the neonatal deaths. This proportion is comparable to that reported in a rural sub-district in Bangladesh . However, in a recent population-based study in several countries, Kenya reported lower proportions of deaths from birth asphyxia (32%) and almost similar proportions for infections (28%) . A recent study from Ethiopia reported asphyxia as the cause in 14% of the deaths in neonates. The observed difference in higher proportion of deaths due to asphyxia in our study is possibly because of methodology issues. The Kenyan study was conducted among all neonates and not necessarily preterm or low birth weight infants while the Ethiopian study used clinical post mortem examinations to determine the cause of death.
Neonatal sepsis caused almost one-quarter of all deaths, the majority occurring after discharge. These proportions are similar to what is reported in other African countries ranging from 10–26% .
The distribution of causes of death in the early neonatal period is similar to results cited in other studies whereby the leading cause of death in early neonatal period is asphyxia while the leading cause of death in the late neonatal period is sepsis .
Physical characteristics and environmental factors predispose the preterm infant to hypothermia . In this study, we observed a low prevalence of both skin to skin contact and early initiation of breast milk within the first hour. Lack of these essential new-born practices may have resulted to the deaths due to hypothermia with the impact being higher among children born at lower gestational ages. To avert these deaths from hypothermia, proven high impact yet low-cost interventions of preterm babies, like early initiation to breast milk and practicing kangaroo mother care, is quite essential . A meta-analysis of 15 studies concluded that KMC substantially reduced neonatal mortality among preterm and was highly effective in reducing morbidity . The PTBI East Africa recently documented that quality data, strengthened provider skills and teamwork emphasising on antenatal corticosteroids, immediate skin to skin care, preterm feeding and new-born resuscitation are evidence based practices that decrease neonatal mortality .
Preterm and LBW neonates are very vulnerable in the first week. Consistent with other studies, we found that more than three-quarters (78.4%) of the neonatal deaths occurred in their first week of life and approximately half of these deaths occurred in the first 24 h . Thus, there is a need for refocused antenatal care, safe delivery practices and continuous engagement with mothers on the care of the preterm or LBW babies in and beyond the hospital walls.
Majority of mothers were able to recognize signs and symptoms of illness their neonates suffered and sought formal health care for them. In most cases, the neonates suffered multiple symptoms that would have benefitted from integrated management of neonatal and childhood illnesses. The reasons reported by four mothers for not seeking formal health care point to mothers’ perceptions on illness severity and how distance as well as transportation act as barriers to seeking healthcare for the sick neonates. Our findings concur with findings of systematic review conducted in Low and Middle Income countries as well review in Sub Saharan Africa which indicate that individual factors as well as social factors such as transportation and distance to health facility result in severe morbidities and eventually mortality among the neonate .
Given that majority of the deaths occurred in the health facilities, this points to the need of strengthening the health systems for the care of the preterm and LBW neonates to avert deaths. The United Nations Inter agency group for child mortality estimation in their report level and trends in child mortality 2020 states that quality care at birth and skilled treatment immediately after birth and in the first days of life averts neonatal deaths from preventable causes of death such as prematurity birth asphyxia, infections and birth defects .
Strength and limitations
We adapted the used of WHO standardized tools for collecting and interpretation of the causes of deaths. The study population was drawn from the county's high volume facilities, where most preterm and low birth weight deliveries occurred.
Self-reported symptoms have limited reliability when reported by lay-persons and can be subjective. We assumed that the cause of death investigated had symptoms that were easily recognized and recalled by the primary caregiver. To reduce recall bias the research assistants conducted the interviews at least two weeks after the death occurred.
The study provided no information for neonatal deaths that occurred among preterm and LBW babies delivered at home or in other non-selected health facilities. Thus, the findings in this study cannot be generalized to the entire population and need to be interpreted with caution due to potential bias associated with lost to follow up. Selection bias occurred due to numbers of neonates lost to follow up. However, the VASA neonates and the lost to follow up neonates had similar baseline characteristics that included maternal age, gestation age and birth weight. The neonates lost to follow up were more likely to be male while VASA neonates experienced more pre discharge deaths. See supplementary table.
Birth asphyxia, neonatal sepsis, respiratory distress, and hypothermia, were the major causes of deaths of the neonates participating in the study. A big proportion of deaths happened within the first 24 h of life. It is important to note that all these conditions are preventable thus, enhancing low-cost life-saving interventions during the intrapartum care and the immediate neonatal period will go a long way to change this trend. A large well-designed study is recommended to establish risk factors associated with the deaths among the preterm and low birth weight babies.
Availability of data and materials
The datasets used to support the findings of this study are available from University of California San Francisco upon reasonable request and signing a data access agreement subject to approval from the study principal investigators.
Child Health Epidemiology Reference Group
Civil Registration and Vital Statistics
Every Newborn Action Plan
International Classification of Diseases
Low Birth Weight
Kenya Medical Research Institute
Kangaroo Mother Care
Preterm Birth Initiative-Kenya
Sustainable Development Goal
Scientific and Ethical Review Unit
University of California, San Francisco
Verbal and Social Autopsy
World Health Organization
Black RE, Cousens S, Johnson HL, Lawn JE, Rudan I, Bassani DG, et al. Global, regional, and national causes of child mortality in 2008: a systematic analysis. Lancet. 2010;375(9730):1969–87.
Brankovic S, Hadziomerovic AM, Rama A, Segalo M. Incidence of morbidity and mortality in premature infants at the Department of Neonatal Intensive Care of Pediatric Clinic, Clinical Center of Sarajevo University. Med Arch. 2013;67(4):286–8.
Koffi AK, Maina A, Yaroh AG, Habi O, Bensaïd K, Kalter HD. Social determinants of child mortality in Niger: Results from the 2012 National Verbal and Social Autopsy Study. J Glob Health. 2016; 6(1):010603
Lawn JE, Wilczynska-Ketende K, Cousens SN. Estimating the causes of 4 million neonatal deaths in the year 2000. Int J Epidemiol. 2006;35(3):706–18.
UNICEF: Levels and Trends in Child Mortality. Estimates Developed by the UN Inter-610 agency Group for Child Mortality Estimation. UN IGME Report. New York: UNICEF; 2015.
Abdel Razeq NM, Khader YS, Batieha AM. The incidence, risk factors, and mortality of preterm neonates: A prospective study from Jordan (2012–2013). Turk J Obstet Gynecol. 2017;14(1):28–36.
Katz J, Lee AC, Kozuki N, Lawn JE, Cousens S, Blencowe H, et al. Mortality risk in preterm and small-for-gestational-age infants in low-income and middle-income countries: a pooled country analysis. Lancet. 2013;382(9890):417–25.
Ludvigsson JF, Lu D, Hammarström L, Cnattingius S, Fang F. Small for gestational age and risk of childhood mortality: A Swedish population study. PLoS Med 2018. 15(12): e1002717.
Blencowe H, Cousens S, Chou D, Oestergaard M, Say L, Moller AB, et al. Born too soon: the global epidemiology of 15 million preterm births. Reprod Health. 2013;10(Suppl 1):S2.
Lawn JE, Davidge R, Paul VK, von Xylander S, de Graft Johnson J, Costello A, et al., Born too soon: care for the preterm baby. Reprod Health. 2013;10(Suppl 1):S5
WHO (2014). Global nutrition targets 2025: childhood overweight policy brief. Geneva: World Health Organization. http://www.who.int/nutrition/publications/globaltargets2025_policybrief_overweight/en/.
WHO, Every Newborn Action Plan, An Action Plan To End Preventable Deaths : http://www.everynewborn.org/Documents/Executive-summary%20_EN.pdf).
UNICEF, Committing to Child Survival: A Promise Renewed. Progress Report 2014.
Joy Lawn, Pyande Mongi, and S. Cousens, Africa’s newborns–counting them and making them count, in Opportunities for Africa's Newborns, WHO: WHO, Geneva.
Kenya National Bureau of Statistics and, I.C.F.I., Kenya Demographic and Health Survey, Key Indicators. 2015, ICF International Rockville.
D’Ambruoso L, Byass P, Qomariyah SN, Ouédraogo M. A lost cause? Extending verbal autopsy to investigate biomedical and socio-cultural causes of maternal death in Burkina Faso and Indonesia. Soc Sci Med. 2010;71(10):1728–38.
Kalter HD, Yaroh AG, Maina A, Koffi AK, Bensaïd K, Amouzou A, Black RE. Verbal/social autopsy study helps explain the lack of decrease in neonatal mortality in Niger, 2007–2010. J Glob Health. 2016;6(1):010604.
Koffi AK, Libite PR, Moluh S, Wounang R, Kalter HD. Social autopsy study identifies determinants of neonatal mortality in Doume, Nguelemendouka and Abong-Mbang health districts, Eastern Region of Cameroon. J Glob Health. 2015;5(1):010413.
McCaw-Binns A, Mullings J, Holder Y. The Quality and Completeness of 2008 Perinatal and Under-five Mortality Data from Vital Registration Jamaica. West Indian Med J. 2015;64(1):3–16.
Arudo J, Gimnig JE, ter Kuile FO, Kachur SP, Slutsker L, Kolczak MS, et al. Comparison of government statistics and demographic surveillance to monitor mortality in children less than five years old in rural western Kenya. Am J Trop Med Hyg. 2003;68(4 Suppl):30–7.
Otieno P, Waiswa P, Butrick E, Namazzi G, Achola K, Santos N, et al. Strengthening intrapartum and immediate newborn care to reduce morbidity and mortality of preterm infants born in health facilities in Migori County, Kenya and Busoga Region, Uganda: a study protocol for a randomized controlled trial. Trials. 2018;19(1):313.
World Health Organization. Verbal autopsy standards: the 2016 WHO verbal autopsy instrument.http://www.who.int/healthinfo/statistics/verbalautopsystandards/en/ 2016.
Child Health Epidemiology Reference Group. CHERG verbal and social autopsy survey tools and information (http://cherg.org/projects/pathways.html#socialautopsy.
von Elm E, A.D., Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. , The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;(4)(Apr;61): p. 344–9.PMID: 18313558.
Halder AK, Gurley ES, Naheed A, Saha SK, Brooks WA, El Arifeen S et al. Causes of Early Childhood Deaths in Urban Dhaka, Bangladesh. PLOS ONE. 2009; 4(12):e8145.
Chowdhury HR, Thompson S, Ali M, Alam N, Yunus M, Streatfield PK. Causes of neonatal deaths in a rural subdistrict of Bangladesh: implications for intervention. J Health Popul Nutr. 2010;28(4):375–82.
Alliance for Maternal and Newborn Health Improvement (AMANHI) mortality study group. Population-based rates, timing, and causes of maternal deaths, stillbirths, and neonatal deaths in south Asia and sub-Saharan Africa: a multi-country prospective cohort study. The Lancet Global Health. 2018; 6(12): e1297-e1308.
Liang LD, Kotadia N, English L, Kissoon N, Ansermino JM, Kabakyenga J. Predictors of Mortality in Neonates and Infants Hospitalized With Sepsis or Serious Infections in Developing Countries. Syst Review Front Pediatrics. 2018;6:277.
Mengesha HG, Sahle BW. Cause of neonatal deaths in Northern Ethiopia: a prospective cohort study. BMC Public Health. 2017;17(1):62.
Manani M, Jegatheesan P, DeSandre G, Song D, Showalter L, Govindaswami B. Elimination of admission hypothermia in preterm very low-birth-weight infants by standardization of delivery room management. Permanente J. 17(3);8–13, 2013. 17(3): 8–13.
UNICEF, WHO, World Bank Group, UN Population Division: Levels and trends in child mortality report 2014: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation. https://www.unicef.org/media/files/Levels_and_Trends_in_Child_Mortality_2014.pdf
Lawn JE, Mwansa-Kambafwile J, Horta BL, Barros FC, Cousens S. 'Kangaroo mother care' to prevent neonatal deaths due to preterm birth complications.Int J Epidemiol. 2010;39(Suppl 1):i144–54.
Walker D, Otieno P, Butrick E, Namazzi G, Achola K, Merai R et al. Effect of a quality improvement package for intrapartum and immediate newborn care on fresh stillbirth and neonatal mortality among preterm and low-birthweight babies in Kenya and Uganda: a cluster-randomised facility-based trial. 2020 8(8): e1061-e1070
Lassi ZS, Middleton P, Bhutta ZA, Crowther C. Health care seeking for maternal and newborn illnesses in low- and middle-income countries: a systematic review of observational and qualitative studies. F1000Research 2019. 8:200
UNICEF, WHO, World Bank Group, UN Population Division: Levels and trends in child mortality 2020: Estimates developed by the UN Inter-agency Group for child mortality estimation. https://www.unicef.org/media/79371/file/UN-IGME-child-mortality-report-2020.pdf.pdf
We wish to acknowledge the Bill Melinda Gates Foundation for their generous funding for this project. We acknowledge the permission and support granted to us by the Migori County Health Department in the whole process from study initiation and implementation. We thank the PTBI-Kenya team that worked tirelessly to ensure data collection and data management for the study. We appreciate the effort provided by our collaborators from the UCSF at all levels of the study and manuscript review. We also acknowledge Kenya Medical Research Institute in providing, ethical approval and oversight for the study. We also thank the caregivers (who were mostly mothers of the deceased) for their willingness to participate in the study.
This study was funded by Bill Melinda Gates Foundation. The funders had no role in study design, data collection, analysis, interpretation and writing of the manuscript.
Ethics approval and consent to participate
The study received approval from Kenya Medical Research Institute (KEMRI), Scientific and Ethical Review Unit (SERU) protocol number KEMRI/SERU/CCR/0085/3595. Study participants were enrolled into the study after their verbal approval and signing the written informed consent form.
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Olack, B., Santos, N., Inziani, M. et al. Causes of preterm and low birth weight neonatal mortality in a rural community in Kenya: evidence from verbal and social autopsy. BMC Pregnancy Childbirth 21, 536 (2021). https://doi.org/10.1186/s12884-021-04012-z