Temperature-related neonatal deaths attributable to climate change in 29 low- and middle-income countries.

Exposure to high and low ambient temperatures increases the risk of neonatal mortality, but the contribution of climate change to temperature-related neonatal deaths is unknown. We use Demographic and Health Survey (DHS) data (n = 40,073) from 29 low- and middle-income countries to estimate the temperature-related burden of neonatal deaths between 2001 and 2019 that is attributable to climate change. We find that across all countries, 4.3% of neonatal deaths were associated with non-optimal temperatures. Climate change was responsible for 32% (range: 19-79%) of heat-related neonatal deaths, while reducing the respective cold-related burden by 30% (range: 10-63%). Climate change has impacted temperature-related neonatal deaths in all study countries, with most pronounced climate-induced losses from increased heat and gains from decreased cold observed in countries in sub-Saharan Africa. Future increases in global mean temperatures are expected to exacerbate the heat-related burden, which calls for ambitious mitigation and adaptation measures to safeguard the health of newborns.

Role of central endpoint adjudication and challenges in trials on neonatal sepsis-a case of ProSPoNS trial.

Despite progress in reducing the infant mortality in India, the neonatal mortality decline has been slower, necessitating concerted efforts to achieve Sustainable Development Goal-3. A promising strategy aiming to prevent neonatal sepsis in high-risk, vulnerable, low birth weight neonates through an innovative intervention includes probiotic supplementation. This article communicates the decision by the ProSPoNS trial investigators to establish a Central Endpoint Adjudication Committee (CEAC) as an addendum to the protocol published in Trials in 2021 for the purpose of clarifying the primary outcome. In the published protocol, the study hypothesis and primary objective are based on "sepsis," the primary outcome has been specified as sepsis/PSBI, whereas the sample size estimation was performed based on the "physician diagnosed sepsis." To align all the three above, the investigators meeting, held on 17th-18th August 2023, at MGIMS Sevagram, Wardha, deliberated and unanimously agreed that "physician diagnosed sepsis" is the primary study outcome which includes sepsis/PSBI. The CEAC, chaired by an external subject expert and members including trial statistician, a microbiologist, and all site principal investigators will employ four criteria to determine "physician diagnosed sepsis": (1) blood culture status, (2) sepsis screen status, (3) PSBI/non-PSBI signs and symptoms, and (4) the clinical course for each sickness event. Importantly, this clarification maintains consistency with the approved study protocol (Protocol No. 5/7/915/2012 version 3.1 dated 14 Feb 2020), emphasizing the commitment to methodological transparency and adherence to predefined standards. The decision to utilize the guidance of a CEAC is recommended as the gold standard in multicentric complex clinical trials to achieve consistency and accuracy in assessment of outcomes.Trial registrationClinical Trial Registry of India (CTRI) CTRI/2019/05/019197. Registered on 16 May 2019.

[Prognostic factors for neonatal mortality at the Souro Sanou University Hospital in Bobo-Dioulasso, Burkina Faso: a cross-sectional study]. / Facteurs pronostiques de la mortalité néonatale au CHU Sourô Sanou de Bobo-Dioulasso, Burkina Faso: une étude transversale.

Introduction: to help reduce neonatal mortality in Burkina Faso, we identified the prognostic factors for neonatal mortality at the Sourô Sanou University Hospital. Methods: we conducted a cross-sectional and analytical study in the neonatal department from July 25, 2019 to June 25, 2020. Patients' medical records, consultation and hospital records were reviewed. Prognostic factors for neonatal mortality were identified using a Cox model. Results: data from 1128 newborn babies were analysed. Neonatal mortality was 29.8%. Most of these deaths (89%) occurred in the early neonatal period. The mean weight of newborns at the admission was 2,285.8 ± 878.7 and 43.6%. They were at a healthy weight. Four out of five newborns had been hospitalized for infection or prematurity. The place of delivery (HR weight <1000g = 5.45[3.81 -7.79]) and the principal diagnosis (HR asphyxiation= 1.64[1.30-2.08]) were prognostic factors for neonatal mortality. Conclusion: improving technical facilities for the etiological investigation of infections and an efficient management of low-weight newborns suffering from respiratory distress would considerably reduce in-hospital neonatal mortality in Bobo-Dioulasso.

The global burden of disease attributable to preterm birth and low birth weight in 204 countries and territories from 1990 to 2019: An analysis of the Global Burden of Disease Study.

Background: Preterm birth and low birth weight (PBLBW), recognised globally as primary contributors to infant mortality in children under five, have not been sufficiently investigated in terms of their worldwide impact. In this study we aimed to thoroughly evaluate the contemporary trends in disease burden attributable to PBLBW. Methods: We analysed data from 204 countries and territories between 1990-2019, as sourced from the 2019 Global Burden of Disease Study. We analysed the global incidence of mortality and disability-adjusted life years (DALYs) associated with PBLBW, stratified by age, gender, year, and geographic location, alongside the socio-demographic index (SDI). We calculated the annual percentage changes to evaluate the dynamic trends over time. We employed a generalised linear model and scrutinised the relationship between the SDI and the disease burden attributed to PBLBW. Results: In 2019, the global age-standardised rate of deaths and DALYs related to PBLBW showed significant declines. Over the period 1990-2019, both death and DALY rates displayed substantial downward trends, with similar change trends observed for both females and males. Age-specific ratios revealed a decrease in PBLBW-related deaths and DALYs with increasing age, primarily during the neonatal stages (zero to 27 days). The leading three causes of PBLBW-related DALYs in 2019 were neonatal disorders, lower respiratory infections, and sudden infant death syndrome. Furthermore, the association between SDI and PBLBW-related DALYs indicated that the age-standardised DALY rates in 204 countries and territories worldwide were negatively correlated with SDI in 2019. From 1990 to 2019, the age-standardised DALY rates decreased linearly in most regions, except sub-Saharan Africa. Conclusions: The persistent global burden of disease associated with PBLBW is particularly pronounced in neonates aged less than 28 days and in regions with low SDI. In this study, we highlighted the critical need for tailored interventions aimed at mitigating the detrimental effects of PBLBW to attain specific sustainable development goals, particularly those centred on enhancing child survival and overall well-being.

Adapting the log quadratic model to estimate age- and cause-specific mortality among neonates.

INTRODUCTION: Estimates for cause-specific mortality for neonates are generally available for all countries for neonates overall (0 to 28 days). However, cause-specific mortality is generally not being estimated at higher age resolution for neonates, despite evidence of heterogeneity in the causes of deaths during this period. We aimed to use the adapted log quadratic model in a setting where verbal autopsy was the primary means of determining cause of death. METHODS: We examined the timing and causes of death among a cohort of neonates in rural Nepal followed as part of the Nepal Oil Massage Study (NOMS). We adapted methods defined by Wilmoth et al (2012) and Guillot et al. (2022) to estimate age and cause-specific mortality among neonates. We used cross validation to estimate the accuracy of this model, holding out each three month period. We took the average cross validation across hold out as our measure of model performance and compared to a standard approach which did not account for the heterogeneity in cause-specific mortality rate within this age group. RESULTS: There were 957 neonates in the NOMS cohort with known age and cause of death. We estimated an average cross-validation error of 0.9 per 1000 live births for mortality due to prematurity in the first week, and 1.1 for mortality due to birth asphyxia, compared to the standard approach, having error 7.4 and 7.8 per 1000 live births, respectively. Generally mortality rates for less common causes such as congenital malformations and pneumonia were estimated with higher cross-validation error. CONCLUSIONS: The stability and precision of these estimates compare favorably with similar estimates developed with higher quality cause-specific mortality surveillance from China, demonstrating that reliably estimating causes of mortality at high resolution is possible for neonates in low resources areas.

A cross-sectional analysis of preterm birth incidence and survival in Al Kharj, Saudi Arabia.

OBJECTIVES: To understand the prevalence and survival rates of preterm birth (PTB) is of utmost importance in informing healthcare planning, improving neonatal care, enhancing maternal and infant health, monitoring long-term outcomes, and guiding policy and advocacy efforts. METHODS: The medical records of preterm infants admitted to the Neonatal Intensive Care Unit (NICU) with a diagnosis of prematurity at the Maternity and Children's Hospital (MCH), Al Kharj, Saudi Arabia, were reviewed between January 2018 and December 2022. Data were collected on birth weight (BW), gender, number of live births, gestational age, mortality, nationality, APGAR score, length of stay in the NICU, and maternal details. RESULTS: A total of 9809 live births were identified between 2018 and 2022, of which 139 (3.9%) were born preterm. The overall mortality rate of the included sample was 7.19%, whereas the mortality rate according to BW was 38.4% of those born with extremely low birth weight (ELBW). The most common intrapartum complications were malpresentation (15.1%), placental complications (4.3%), and cord complications (3.6%). CONCLUSION: This study provides valuable insights into the prevalence of PTB in the country, particularly focusing on the vulnerability of extremely preterm babies.

Epidemiology of neural tube defects in Finland: a nationwide register study 1987-2018.

BACKGROUND: Our aim was to evaluate the prevalence, mortality, regional and sex distribution of neural tube defects (NTDs) in Finland. METHODS: Data for this population-based study were collected from 1987 to 2018 from the national health and social welfare registers. RESULTS: There were in total 1634 cases of NTDs, of which 511 were live births, 72 pregnancies ended in stillbirth and 1051 were terminations of pregnancy due to fetal anomaly (TOPFA). The total prevalence of NTDs was 8.6 per 10 000 births and it increased slightly annually (OR 1.008; 95% CI: 1.002, 1.013) during the 32-year study period. The birth prevalence of NTDs decreased (OR 0.979; 95% CI: 0.970, 0.987), but the prevalence of TOPFA increased annually (OR 1.024; 95% CI 1.017, 1.031). The perinatal mortality of NTD children was 260.7 per 1000 births and the infant mortality was 184.0 per 1000 live births, whereas these measures in the general population were 4.6 per 1000 births and 3.3 per 1000 live births, respectively. There was no difference in the NTD prevalence between males and females (P-value 0.77). The total prevalence of NTDs varied from 7.1 to 9.4 per 10 000 births in Finland by region. CONCLUSIONS: Although the majority of NTDs are preventable with an adequate folic acid supplementation, the total prevalence increased in Finland during the study period when folic acid supplementation was mainly recommended to high-risk families and to women with folic acid deficiency. NTDs remain an important cause of infant morbidity and mortality in Finland.

Global Financing Facility investments for vulnerable populations: content analysis regarding maternal and newborn health and stillbirths in 11 African countries, 2015 to 2019.

BACKGROUND: The Global Financing Facility (GFF) was launched in 2015 to catalyse increased domestic and external financing for reproductive, maternal, newborn, child, adolescent health, and nutrition. Half of the deaths along this continuum are neonatal deaths, stillbirths or maternal deaths; yet these topics receive the least aid financing across the continuum. OBJECTIVES: To conduct a policy content analysis of maternal and newborn health (MNH), including stillbirths, in GFF country planning documents, and assess the mortality burden related to the investment. METHODS: Content analysis was conducted on 24 GFF policy documents, investment cases and project appraisal documents (PADs), from 11 African countries. We used a systematic data extraction approach and applied a framework for analysis considering mindset, measures, and money for MNH interventions and mentions of mortality outcomes. We compared PAD investments to MNH-related deaths by country. RESULTS: For these 11 countries, USD$1,894 million of new funds were allocated through the PADs, including USD$303 million (16%) from GFF. All documents had strong content on MNH, with particular focus on pregnancy and childbirth interventions. The investment cases commonly included comprehensive results frameworks, and PADs generally had less technical content and fewer indicators. Mortality outcomes were mentioned, especially for maternal. Stillbirths were rarely included as targets. Countries had differing approaches to funding descriptions. PAD allocations are commensurate with the burden. CONCLUSIONS: The GFF country plans present a promising start in addressing MNH. Emphasising links between investments and burden, explicitly including stillbirth, and highlighting high-impact packages, as appropriate, could potentially increase impact.

Main finding: Maternal and newborn health care packages are strongly included in the Global Financing Facility policy documents for 11 African countries, especially regarding pregnancy and childbirth, though less for stillbirth, or postnatal care, or small and sick newborn care.Added knowledge: This study is the first independent content analysis of Global Financing Facility investment cases and related project appraisal documents, revealing mostly consistent content for maternal and newborn health across documents and overall correlation between national mortality burden and investments committed.Global health impact for policy and action: The Global Financing Facility have demonstrated promising initial investments for maternal and newborn health, although there are also missed opportunities for strengthening, especially for some neonatal high-impact packages and counting impact on stillbirths.

Social Distancing During the COVID-19 Pandemic and Neonatal Mortality in the US.

Importance: Neonatal mortality is a major public health concern that was potentially impacted by the COVID-19 pandemic. To prepare for future health crises, it is important to investigate whether COVID-19 pandemic-related interventions were associated with changes in neonatal mortality. Objective: To investigate whether social distancing during the pandemic was associated with a higher neonatal mortality rate. Design, Setting, and Participants: This cohort study examined maternal-linked birth and infant death records from the National Center for Health Statistics, a population-level US database, from 2016 through 2020. The mortality rates were correlated using machine learning-based autoregressive integrated moving average (ARIMA) models with the social distancing index (SDI). The reference period was January 2016 through February 2020, and the pandemic period was March through December 2020. Statistical analysis was performed from March 2023 to May 2024. Exposures: SDI, computed from 6 mobility metrics. Main Outcomes and Measures: The primary outcome was neonatal mortality rate, defined as death at age less than 28 days. Results: The study included 18 011 173 births, of which 15 136 596 were from the reference period (7 753 555 [51.22%] male; 11 643 094 [76.92%] with maternal age of 20 to 34 years) and 2 874 577 were from the pandemic period (1 472 539 [51.23%] male; 2 190 158 [76.19%] with maternal age of 20 to 34 years). Through ARIMA-adjusted analyses, accounting for the declining mortality trend in the reference period, the mortality rates during the pandemic period did not significantly differ from the expected rates. SDI did not exhibit significant correlations with neonatal mortality (unadjusted: correlation coefficient [CC], 0.14 [95% CI, -0.53 to 0.70]; ARIMA adjusted: CC, 0.29 [95% CI, -0.41 to 0.77]), early neonatal mortality (unadjusted: CC, 0.33 [95% CI, -0.37 to 0.79]; ARIMA adjusted: CC, 0.45 [95% CI, -0.24 to 0.84]), and infant mortality (unadjusted: CC, -0.09 [95% CI, -0.68 to 0.57]; ARIMA adjusted: CC, 0.35 [95% CI, -0.35 to 0.80]). However, lag analyses found that SDI was associated with higher neonatal and early neonatal mortality rates with a 2-month lag period, but not with infant mortality rate. SDI was also associated with increases in 22-to-27 weeks' and 28-to-32 weeks' preterm delivery with a 1-month lag period. Conclusions and Relevance: In this population-level study of National Center for Health Statistics databases, neonatal, early neonatal, and infant mortality rates did not increase during the initial COVID-19 pandemic period. However, associations were observed between the pandemic period social distancing measures and higher rates of neonatal and early neonatal mortality, as well as preterm birth rate with a lag period, suggesting the importance of monitoring infant health outcomes following pandemic-related population behavior changes.

State of South Dakota's Child: 2023.

In 2022, there was a decrease in births in the state with 111 fewer resident newborns than in the previous year. This represented a decrease of 1% of its white and 3.5% of its AIBO (American Indian, Black and Other) births. The 2022 birth rate per 1,000 population for the state (12.3) is higher than observed nationally (10.9) but matches its 2020 rate that was an historic low. Approximately 22% of all births in 2022 were AIBO and this percent of the state's entire birth cohort has decreased in the past several years. The American Indian contribution to the AIBO cohort has also decreased as its racial diversity has increased. The percent of births that are low birth weight has consistently been lower in South Dakota than nationally. An increase of 16 infant deaths in 2022 from 2021 and the decreased number of births led to an increase in the infant mortality rate (IMR = deaths in first year of life per 1,000 live births) from 6.3 to 7.8, but this 2022 IMR is not statistically significantly higher than its previous five-year mean. Further, the 2022 increase in the IMR was almost entirely among white infants with the post neonatal mortality rate (PNMR = deaths between 28 and 365 days of life) decreasing between these two years for AIBO infants. Nonetheless, the state's five year mean rates of death (2018-2022) are significantly higher for the AIBO than white infants for the neonatal (0-27 days) and post neonatal periods of the first year of life. Recently, however, the ratio of AIBO to white post neonatal mortality rate (PNMR) has decreased, but increased for the neonatal mortality rate (NMR). Infants in South Dakota are significantly more likely between 2018 and 2022 to die of congenital anomalies, sudden unexpected infant death (SUID), and accidents/homicides than in the United States in 2021. SUID remains the leading cause of post neonatal death and its risk may be decreased when babies are placed to sleep supine and alone in environments that are devoid of soft hazards.

COVID-19 pandemic effects on neonatal inpatient admissions and mortality: interrupted time series analysis of facilities implementing NEST360 in Kenya, Malawi, Nigeria, and Tanzania.

BACKGROUND: The emergence of COVID-19 precipitated containment policies (e.g., lockdowns, school closures, etc.). These policies disrupted healthcare, potentially eroding gains for Sustainable Development Goals including for neonatal mortality. Our analysis aimed to evaluate indirect effects of COVID-19 containment policies on neonatal admissions and mortality in 67 neonatal units across Kenya, Malawi, Nigeria, and Tanzania between January 2019 and December 2021. METHODS: The Oxford Stringency Index was applied to quantify COVID-19 policy stringency over time for Kenya, Malawi, Nigeria, and Tanzania. Stringency increased markedly between March and April 2020 for these four countries (although less so in Tanzania), therefore defining the point of interruption. We used March as the primary interruption month, with April for sensitivity analysis. Additional sensitivity analysis excluded data for March and April 2020, modelled the index as a continuous exposure, and examined models for each country. To evaluate changes in neonatal admissions and mortality based on this interruption period, a mixed effects segmented regression was applied. The unit of analysis was the neonatal unit (n = 67), with a total of 266,741 neonatal admissions (January 2019 to December 2021). RESULTS: Admission to neonatal units decreased by 15% overall from February to March 2020, with half of the 67 neonatal units showing a decline in admissions. Of the 34 neonatal units with a decline in admissions, 19 (28%) had a significant decrease of ≥ 20%. The month-to-month decrease in admissions was approximately 2% on average from March 2020 to December 2021. Despite the decline in admissions, we found no significant changes in overall inpatient neonatal mortality. The three sensitivity analyses provided consistent findings. CONCLUSION: COVID-19 containment measures had an impact on neonatal admissions, but no significant change in overall inpatient neonatal mortality was detected. Additional qualitative research in these facilities has explored possible reasons. Strengthening healthcare systems to endure unexpected events, such as pandemics, is critical in continuing progress towards achieving Sustainable Development Goals, including reducing neonatal deaths to less than 12 per 1000 live births by 2030.

Progress Toward Achieving and Sustaining Maternal and Neonatal Tetanus Elimination - Worldwide, 2000-2022.

Tetanus remains a considerable cause of mortality among undervaccinated mothers and their infants following unhygienic deliveries, especially in low-income countries. Strategies of the maternal and neonatal tetanus elimination (MNTE) initiative, which targets 59 priority countries, include strengthening antenatal immunization of pregnant women with tetanus toxoid-containing vaccines (TTCVs); conducting TTCV supplementary immunization activities among women of reproductive age in high-risk districts; optimizing access to skilled birth attendants to ensure clean deliveries and umbilical cord care practices; and identifying and investigating suspected neonatal tetanus cases. This report updates a previous report and describes progress toward MNTE during 2000-2022. By December 2022, 47 (80%) of 59 priority countries were validated to have achieved MNTE. In 2022, among the 50 countries that reported coverage with ≥2 doses of TTCV among pregnant women, 16 (32%) reported coverage of ≥80%. In 2022, among 47 validated countries, 26 (55%) reported that ≥70% of births were assisted by skilled birth attendants. Reported neonatal tetanus cases worldwide decreased 89%, from 17,935 in 2000 to 1,995 in 2021; estimated neonatal tetanus deaths decreased 84%, from 46,898 to 7,719. However, the global disruption of routine immunization caused by the COVID-19 pandemic impeded MNTE progress. Since 2020, reported neonatal tetanus cases have increased in 18 (31%) priority countries. Integration of MNTE strategies into priority countries' national postpandemic immunization recovery activities is needed to achieve and sustain global elimination.

Incidence and Predictors of Mortality Among Preterm Neonates Admitted to Jimma University Medical Center, Southwest Ethiopia: a Retrospective Follow-Up Study.

Objective: This study aimed to assess incidence and predictors of mortality among preterm neonates in Jimma University Medical Center, Southwest Ethiopia. Methods: A retrospective follow-up study was conducted among 505 preterm neonates admitted to the Neonatal Intensive Care Unit of Jimma University Medical Center from 01 January 2017, to 30 December 2019. Data were collected from medical records using a data collection checklist. Data were entered into Epi-Data 3.1 and analyzed with STATA 15. Cox-regression analysis was fitted to identify predictors of preterm neonatal mortality. Variables with p-value <0.05 were declared a statistical significance. Result: The cumulative incidence of preterm neonatal death was 25.1%. The neonatal mortality rate was 28.9 deaths (95%CI: 24.33, 34.46) per 1,000 neonate-days. Obstetric complications, respiratory distress syndrome, neonatal sepsis, perinatal asphyxia, antenatal steroid exposure, gestational age at birth, and receiving kangaroo-mother care were predictors of preterm neonatal mortality. Conclusion: Preterm neonatal mortality rate was high. Hence, early detection and management of obstetric and neonatal complications, use of antenatal steroids, and kangaroo-mother care should be strengthened to increase preterm neonatal survival.

Panorama da Mortalidade Infantil e Materna no Estado de São Paulo

Informações sobre mortalidade por Região de Saúde, no Estado de São Paulo, no período de 2018-2023.

Development of a prediction nomogram for 1-month mortality in neonates with congenital diaphragmatic hernia.

OBJECTIVES: Although many prognostic factors in neonates with congenital diaphragmatic hernia (CDH) have been described, no consensus thus far has been reached on which and how many factors are involved. The aim of this study is to analyze the association of multiple prenatal and postnatal factors with 1-month mortality of neonates with CDH and to construct a nomogram prediction model based on significant factors. METHODS: A retrospective analysis of neonates with CDH at our center from 2013 to 2022 was conducted. The primary outcome was 1-month mortality. All study variables were obtained either prenatally or on the first day of life. Risk for 1-month mortality of CDH was quantified by odds ratio (OR) with 95% confidence interval (CI) in multivariable logistic regression models. RESULTS: After graded multivariable adjustment, six factors were found to be independently and consistently associated with the significant risk of 1-month mortality in neonates with CDH, including gestational age of prenatal diagnosis (OR, 95% CI, P value: 0.845, 0.772 to 0.925, < 0.001), observed-to-expected lung-to-head ratio (0.907, 0.873 to 0.943, < 0.001), liver herniation (3.226, 1.361 to 7.648, 0.008), severity of pulmonary hypertension (6.170, 2.678 to 14.217, < 0.001), diameter of defect (1.560, 1.084 to 2.245, 0.017), and oxygen index (6.298, 3.383 to 11.724, < 0.001). Based on six significant factors identified, a nomogram model was constructed to predict the risk for 1-month mortality in neonates with CDH, and this model had decent prediction accuracy as reflected by the C-index of 94.42%. CONCLUSIONS: Our findings provide evidence for the association of six preoperational and intraoperative factors with the risk of 1-month mortality in neonates with CDH, and this association was reinforced in a nomogram model.

Mothers' experience of losing infants by death and its predictors in Ethiopia.

BACKGROUND: Although infant deaths worldwide have reduced, many children die before their first birthday. Infant deaths are widespread in low-income countries, and information about the cause of death is limited. In Ethiopia, 53% of infants' deaths occurred in their neonatal period, and 174 infants' deaths occurred from 3684 births. Hence, this study aimed to assess mothers' experiences with infant death and its predictors in Ethiopia. METHODS: A total of 1730 weighted samples of mothers from the 2019 EDHS dataset, which was collected across the regions of Ethiopia, were included for analysis. A two-stage cluster sampling technique with a cross-sectional study design was used. All mothers whose children were under the age of 0-12 months were included in this study. Six count regression models were considered and compared using Akaike's information criteria and Bayesian information criterion with STATA version 15 software. The strength of the association between the number of infant deaths and possible predictors was determined at a P-value less than 0.05, with a 95% confidence interval. The findings were interpreted by using the incident rate ratio. RESULTS: A total of 46.3% of mothers had lost at least one infant by death in the last five years before the 2019 EDHS survey was held. The mean and variance of infant deaths were 2.55 and 5.58, respectively. The histogram was extremely picked at the beginning, indicating that a large number of mothers did not lose their infants by death, and that shows the data had positive skewness. Mothers under 25-29 years of age (IRR: 1.75, 95% CI:1.48, 2.24), and 30-34 years of age (IRR: 1.42, 95% CI: 1.12, 2.82), Somali (IRR: 1.47, 95% CI: 1.02, 3.57), Gambela (IRR: 1.33, 95% CI: 1.10, 2.61), and Harari (IRR: 1.39, 95% CI: 1.02, 2.63) regions, rural resident mothers (IRR: 1.68, 95% CI: 1.09, 1.91, and Protestant (IRR = 1.43, 95% CI: 1.14, 2.96), and Muslim (IRR = 1.59, 95% CI: 1.07, 2.62) religion fellow of mothers were associated with a high risk of infants' deaths. Whereas, being rich IRR: 0.37, 95% CI: .27, .81) and adequate ANC visits (IRR: 0.28, 95% CI: .25, .83) were associated with a low risk of infant death. CONCLUSION: Many mothers have experienced infant deaths, and the majority of infants' deaths occur after the first month of birth. Encouraging mothers to attend antenatal care visits, creating mothers' awareness about childcare, and ensuring equal health services distribution and utilization to rural residents are essential to minimize infant death. Educating lower-aged reproductive mothers would be a necessary intervention to prevent and control infant deaths.

Does Public Spending Reflect the Need for Health: A Cross-sectional Analysis at District Level in India.

BACKGROUND: There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need. OBJECTIVE: In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality. MATERIALS AND METHODS: District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function. RESULTS: We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR. CONCLUSION: The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.

Advantageous early-life environments cushion the genetic risk for ischemic heart disease.

In one of the first papers on the impact of early-life conditions on individuals' health in older age, Barker and Osmond [Lancet, 327, 1077-1081 (1986)] show a strong positive relationship between infant mortality rates in the 1920s and ischemic heart disease in the 1970s. We merge historical data on infant mortality rates to 370,000 individual records in the UK Biobank using information on local area and year of birth. We replicate the association between the early-life infant mortality rate and later-life ischemic heart disease in our sample. We then go "beyond Barker," by showing considerable genetic heterogeneity in this association that is robust to within-area as well as within-family analyses. We find no association between the polygenic index and heart disease in areas with the lowest infant mortality rates, but a strong positive relationship in areas characterized by high infant mortality. These findings suggest that advantageous environments can cushion one's genetic disease risk.