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.

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.

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.

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.

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.

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.

Early neonatal mortality and determinants in sub-Saharan Africa: Findings from recent demographic and health survey data.

INTRODUCTION: Neonatal mortality during the first week of life is a global issue that is responsible for a large portion of deaths among children under the age of five. There are, however, very few reports about the issue in sub-Saharan Africa. For the sake of developing appropriate policies and initiatives that could aid in addressing the issue, it is important to study the prevalence of mortality during the early neonatal period and associated factors. Thus, the aim of this study was to ascertain the prevalence of and pinpoint the contributing factors to early neonatal mortality in sub-Saharan Africa. METHOD: Data from recent demographic and health surveys in sub-Saharan African countries was used for this study. The study included 262,763 live births in total. The determinants of early newborn mortality were identified using a multilevel mixed-effects logistic regression model. To determine the strength and significance of the association between outcome and explanatory variables, the adjusted odds ratio (AOR) at a 95% confidence interval (CI) was computed. Independent variables were deemed statistically significant when the p-value was less than the significance level (0.05). RESULT: Early neonatal mortality in sub-Saharan Africa was 22.94 deaths per 1,000 live births. It was found to be significantly associated with maternal age over 35 years (AOR = 1.77, 95% CI: 1.34-2.33), low birth weight (AOR = 3.27, 95% CI: 2.16, 4.94), less than four ANC visits (AOR = 1.12, 95% CI: 1.01, 1.33), delivery with caesarean section (AOR = 1.81, 95% CI: 1.30-2.5), not having any complications during pregnancy (AOR = 0.76, 95% CI: 0.61, 94), and community poverty (AOR = 1.32, 95% CI: 1.05-1.65). CONCLUSION: This study found that about twenty-three neonates out of one thousand live births died within the first week of life in sub-Saharan Africa. The age of mothers, birth weight, antenatal care service utilization, mode of delivery, multiple pregnancy, complications during pregnancy, and community poverty should be considered while designing policies and strategies targeting early neonatal mortality in sub-Saharan Africa.

Government health expenditures and neonatal mortality in China: Implication for Sustainable Development Goal 3.

This study utilized comprehensive graphical, descriptive and econometric methods to provide empirical answers to the nexus between government health expenditures and neonatal mortality in China. Secondary data from 2000 to 2021 was extracted from the World Development Indicators, after which it was analyzed empirically with the following results; in the past two decades, the incidence of neonatal death has reduced by 85%. Meanwhile, domestic general government health expenditure per capita ranged between $326.2 and $9.4 during the period with a mean value of $138. Average neonatal mortality rate recorded an approximately 10 deaths per 1000 live births, while government health expenditures and neonatal mortality showed a significant negative relationship in China. Therefore, this study confirms that China has been able to meet the SDG 3 with evidence indicating that this may be due to increased government health expenditure.

Cette étude a utilisé des méthodes graphiques, descriptives et économétriques complètes pour fournir des réponses empiriques au lien entre les dépenses publiques de santé et la mortalité néonatale en Chine. Les données secondaires de 2000 à 2021 ont été extraites des indicateurs de développement dans le monde, après quoi elles ont été analysées empiriquement avec les résultats suivants : au cours des deux dernières décennies, l'incidence des décès néonatals a diminué de 85 %. Dans le même temps, les dépenses de santé des administrations publiques nationales par habitant ont varié entre 326,2 et 9,4 dollars au cours de la période, avec une valeur moyenne de 138 dollars. Le taux de mortalité néonatale moyen a enregistré environ 10 décès pour 1 000 naissances vivantes, tandis que les dépenses publiques de santé et la mortalité néonatale ont montré une relation négative significative en Chine. Par conséquent, cette étude confirme que la Chine a été en mesure d'atteindre l'ODD 3 avec des preuves indiquant que cela pourrait être dû à l'augmentation des dépenses publiques de santé.

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.

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.

Neonatal mortality and associated factors among newborns in Mogadishu, Somalia: a multicenter hospital-based cross-sectional study.

INTRODUCTION: Neonatal mortality is a significant public health problem in Sub-Saharan Africa, particularly in Somalia, where limited data exists about this. Mogadishu, the densely populated capital, faces a high rate of neonatal mortality, but this has not been widely studied on a national level. Healthcare providers and policymakers are working to reduce newborn deaths, but a comprehensive understanding of the contributing factors is crucial for effective strategies. Therefore, this study aims to determine the magnitude of neonatal death and identify factors associated with it in Mogadishu, Somalia. METHOD: A multicenter hospital-based cross-sectional study was conducted to collect data from participants at 5 purposively selected hospitals in Mogadishu, Somalia. A well-structured, reliable, self-developed, validated questionnaire containing socio-demographic, maternal, and neonatal characteristics was used as a research tool. Descriptive statistics were used for categorical and continuous variables presented. Chi-square and logistic regression were used to identify factors associated with neonatal mortality at a significant level of α = 0.05. RESULTS: A total of 513 participants were recruited for the study. The prevalence of neonatal mortality was 26.5% [95%CI = 22.6-30.2]. In a multivariable model, 9 variables were found: female newborns (AOR = 1.98, 95%CI = 1.22-3.19), those their mothers who did not attend ANC visits (AOR = 2.59, 95%CI = 1.05-6.45), those their mothers who did not take tetanus toxoid vaccination (AOR = 1.82, 95%CI = 1.01-3.28), those their mothers who delivered in instrumental assistant mode (AOR = 3.01, 95%CI = 1.38-6.56), those who had neonatal sepsis (AOR = 2.24, (95%CI = 1.26-3.98), neonatal tetanus (AOR = 16.03, 95%CI = 3.69-69.49), and pneumonia (AOR = 4.06, 95%CI = 1.60-10.31) diseases during hospitalization, premature (AOR = 1.99, 95%CI = 1.00-3.94) and postmature (AOR = 4.82, 95%CI = 1.64-14.16) neonates, those with a birth weight of less than 2500 gr (AOR = 4.82, 95%CI = 2.34-9.95), those who needed resuscitation after delivery (AOR = 2.78, 95%CI = 1.51-5.13), and those who did not initiate early breastfeeding (AOR = 2.28, 95%CI = 1.12-4.66), were significantly associated with neonatal mortality compared to their counterparts. CONCLUSION: In this study, neonatal mortality was high prevalence. Therefore, the intervention efforts should focus on strategies to reduce maternal and neonatal factors related to neonatal mortality. Healthcare workers and health institutions should provide appropriate antenatal, postnatal, and newborn care.

Predicting fertility, neonatal and perinatal mortality, and stillbirths for evaluation of the needs for perinatal care in the future post-war reconstruction of Ukraine.

OBJECTIVE: Aim: To predict trends in fertility, neonatal and perinatal mortality, and stillbirth rates to ascertain future perinatal care requirements during the post-war reconstruction in Ukraine. PATIENTS AND METHODS: Materials and Methods: The study uses the data from the Centre for Medical Statistics of the Ministry of Health of Ukraine, covering the years 2012 to 2022. The data analysis was by a univariate linear regression model. The quality of these models was evaluated using the coefficient of determination, R2. RESULTS: Results: In 2022, the birth rate in Ukraine had declined to 2.5 times lower than that of 2011. The period was characterized by a notable increase in the incidence of premature births and in neonates with birth weights under 1000 grams and between 1000 to 2499 grams. While the neonatal mortality rate decreased by 3.7 times, there remains a statistically significant (p<0.05) increase in the mortality rates of premature infants and neonates weighing less than 1000 grams. The stillbirth rate in Ukraine remains constant; however, it exceeds that of the European Union. Predictions indicate a rise in antenatal mortality and a reduction in both intranatal and perinatal mortality. As of 2022, the perinatal mortality rate in Ukraine made up 7.72 per 1000 live births, which is significantly higher than the rate in the European Union. CONCLUSION: Conclusions: The optimization of the network of healthcare facilities and resources should be prioritized, in response to the reliable decline in the birth rate. This necessitates improvements in the medical care for premature and low birth weight infants, and efforts for preventing stillbirths.

Trends in maternal and child health in China and its urban and rural areas from 1991 to 2020: a joinpoint regression model.

The long-term trends in maternal and child health (MCH) in China and the national-level factors that may be associated with these changes have been poorly explored. This study aimed to assess trends in MCH indicators nationally and separately in urban and rural areas and the impact of public policies over a 30‒year period. An ecological study was conducted using data on neonatal mortality rate (NMR), infant mortality rate (IMR), under-five mortality rate (U5MR), and maternal mortality ratio (MMR) nationally and separately in urban and rural areas in China from 1991 to 2020. Joinpoint regression models were used to estimate the annual percentage changes (APC), average annual percentage changes (AAPC) with 95% confidence intervals (CIs), and mortality differences between urban and rural areas. From 1991 to 2020, maternal and child mortalities in China gradually declined (national AAPC [95% CI]: NMRs - 7.7% [- 8.6%, - 6.8%], IMRs - 7.5% [- 8.4%, - 6.6%], U5MRs - 7.5% [- 8.5%, - 6.5%], MMRs - 5.0% [- 5.7%, - 4.4%]). However, the rate of decline nationally in child mortality slowed after 2005, and in maternal mortality after 2013. For all indicators, the decline in mortality was greater in rural areas than in urban areas. The AAPCs in rate differences between rural and urban areas were - 8.5% for NMRs, - 8.6% for IMRs, - 7.7% for U5MRs, and - 9.6% for MMRs. The AAPCs in rate ratios (rural vs. urban) were - 1.2 for NMRs, - 2.1 for IMRs, - 1.7 for U5MRs, and - 1.9 for MMRs. After 2010, urban‒rural disparity in MMR did not diminish and in NMR, IMR, and U5MR, it gradually narrowed but persisted. MCH indicators have declined at the national level as well as separately in urban and rural areas but may have reached a plateau. Urban‒rural disparities in MCH indicators have narrowed but still exist. Regular analyses of temporal trends in MCH are necessary to assess the effectiveness of measures for timely adjustments.

Antenatal care coverage and early childhood mortality in Zimbabwe: new interpretations from nationally representative household surveys.

Zimbabwe has implemented universal antenatal care (ANC) policies since 1980 that have significantly contributed to improvements in ANC access and early childhood mortality rates. However, Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), two of Zimbabwe's main sources of health data and evidence, often provide seemingly different estimates of ANC coverage and under-five mortality rates. This creates confusion that can result in disparate policies and practices, with potential negative impacts on mother and child health in Zimbabwe. We conducted a comparability analysis of multiple DHS and MICS datasets to enhance the understanding of point estimates, temporal changes, rural-urban differences and reliability of estimates of ANC coverage and neonatal, infant and under-five mortality rates (NMR, IMR and U5MR, separately) from 2009 to 2019 in Zimbabwe. Our two samples z-tests revealed that both DHS and MICS indicated significant increases in ANC coverage and declines in IMR and U5MR but only from 2009 to 2015. NMR neither increased nor declined from 2009 to 2019. Rural-urban differences were significant for ANC coverage (2009-15 only) but not for NMR, IMR and U5MR. We found that there is a need for more precise DHS and MICS estimates of urban ANC coverage and all estimates of NMR, IMR and U5MR, and that shorter recall periods provide more reliable estimates of ANC coverage in Zimbabwe. Our findings represent new interpretations and clearer insights into progress and gaps around ANC coverage and under-five mortality rates that can inform the development, implementation, monitoring and evaluation of policy and practice responses and further research in Zimbabwe.

Retrospective analysis of mortality among children under 5 years of age in Huangshi over the period 2002-2022, China.

BACKGROUND: The United Nations' Millennium Development Goals and Sustainable Development Goals both underscore the critical need to reduce the under-five mortality rate globally. China has made remarkable progress in decreasing the mortality rate of children under five. This study aims to examine the trends in child mortality rates from 2002 to 2022 and the causes of deaths among neonates, infants, and children under 5 years of age from 2013 to 2022 in Huangshi. METHODS: The data resource was supported and provided by the Huangshi Health Commission, Huangshi Maternal and Child Health Hospital, and the Huangshi Statistics Bureau. Figures were drawn using Origin 2021. RESULTS: The mortality rate among children under 5 years old significantly decreased, from 21.38 per 1,000 live births in 2002 to 3.53 per 1,000 live births in 2022. The infant mortality rate also saw a significant decline, to 15.06 per 1,000 live births. Among the 1,929 recorded child deaths from 2013 to 2022, the top three causes were: F2 (Disorders related to short gestation and low birth weight), accounting for 17.26% (333 deaths); I1 (Accidental drowning and submersion), for 14.83% (286 deaths); and I3 (Other accidental threats to breathing), for 12.29% (237 deaths). Of the 1,929 deaths, 1,117 were male children, representing 57.91%. The gender disparity in the Under-5 Mortality Rate (U5MR) was calculated to be 1.38 (boys to girls). The leading causes of death under the age of five shifted from F2 (Disorders related to short gestation and low birth weight) to I1 (Accidental drowning and submersion) as children aged, highlighting the need for policymakers and parents to intensify care and vigilance for children. CONCLUSIONS: Huangshi has achieved significant progress in lowering child mortality rates over the past two decades. The study calls for policymakers to enact more effective measures to further reduce the mortality rate among children under 5 years of age in Huangshi. Furthermore, it advises parents to dedicate more time and effort to supervising and nurturing their children, promoting a safer and healthier development.

Eight years into the horizon of aspirational maternal and newborn health pledges: a nationwide cross-sectional exploration of the Burundian EmONC network capacity and budget deficits.

OBJECTIVE: The Burundian emergency obstetric and neonatal care (EmONC) programme, which was initiated in 2017 and supported by a specific policy, does not appear to reverse maternal and newborn mortality trends. Our study examined the capacity challenges facing participating EmONC facilities and developed alternative investment proposals to improve their readiness paying particular attention to EmONC professionals, physical infrastructure, and capital equipment. DESIGN: Cross-sectional study. SETTING: Burundian EmONC facilities (n=112). PARTICIPANTS: We examined EmONC policy documents, consulted 12 maternal and newborn health experts and 23 stakeholders and policymakers, surveyed all EmONC facilities (n=112), and collected cost data from the Ministry of Health and local suppliers in Burundi. We developed three context-specific EmONC resource benchmark standards by facility type; the Burundian policy norms and the expert minimum and maximum suggested thresholds; and used these alternatives to estimate EmONC resource gaps. We forecasted three corresponding budget estimates needed to address prevailing deficits taking a government perspective for a 5-year EmONC investment strategy. Additionally, we explored relationships between EmONC professionals and selected measures of service delivery using bivariate analyses and graphically. RESULTS: The lowest EmONC resource benchmark revealed that 95% of basic EmONC and all comprehensive EmONC facilities lack corresponding sets of human resources and 90% of all facilities need additional physical infrastructure and capital equipment. Assessed against the highest benchmark which proposes the most progressive set of standards for the prevailing workloads, Burundi would require 162 more medical doctors, 1005 midwives and nurses, 132 delivery rooms, 191 delivery tables, 678 and 156 maternity and newborn care beds, and 395 incubators amounting to US$32.9 million additional budget for 5 years. CONCLUSION: We demonstrated that Burundian EmONC facilities face enormous capacity challenges equivalent to US$32.9 million funding gap for 5 years; averagely approximating to 5.96% total health budget increase annually.

Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization.

BACKGROUND: WHO, as requested by its member states, launched the Expanded Programme on Immunization (EPI) in 1974 to make life-saving vaccines available to all globally. To mark the 50-year anniversary of EPI, we sought to quantify the public health impact of vaccination globally since the programme's inception. METHODS: In this modelling study, we used a suite of mathematical and statistical models to estimate the global and regional public health impact of 50 years of vaccination against 14 pathogens in EPI. For the modelled pathogens, we considered coverage of all routine and supplementary vaccines delivered since 1974 and estimated the mortality and morbidity averted for each age cohort relative to a hypothetical scenario of no historical vaccination. We then used these modelled outcomes to estimate the contribution of vaccination to globally declining infant and child mortality rates over this period. FINDINGS: Since 1974, vaccination has averted 154 million deaths, including 146 million among children younger than 5 years of whom 101 million were infants younger than 1 year. For every death averted, 66 years of full health were gained on average, translating to 10·2 billion years of full health gained. We estimate that vaccination has accounted for 40% of the observed decline in global infant mortality, 52% in the African region. In 2024, a child younger than 10 years is 40% more likely to survive to their next birthday relative to a hypothetical scenario of no historical vaccination. Increased survival probability is observed even well into late adulthood. INTERPRETATION: Since 1974 substantial gains in childhood survival have occurred in every global region. We estimate that EPI has provided the single greatest contribution to improved infant survival over the past 50 years. In the context of strengthening primary health care, our results show that equitable universal access to immunisation remains crucial to sustain health gains and continue to save future lives from preventable infectious mortality. FUNDING: WHO.

Estimating 1a0 and 4a1 in a Life Table: A Model Approach Based on Newly Collected Data.

The average age of infant deaths, a10, and the average number of years lived-in the age interval-by those dying between ages 1 and 5, a41, are important quantities allowing the construction of any life table including these ages. In many applications, the direct calculation of these parameters is not possible, so they are estimated using the infant mortality rate-or the death rate from 0 to 1-as a predictor. Existing methods are general approximations that do not consider the full variability in the age patterns of mortality below the age of 5. However, at the same level of mortality, under-five deaths can be more or less concentrated during the first weeks and months of life, thus resulting in very different values of a10 and a41. This article proposes an indirect estimation of these parameters by using a recently developed model of under-five mortality and taking advantage of a new, comprehensive database by detailed age-which is used for validation. The model adapts to a variety of inputs (e.g., rates, probabilities, or the proportion of deaths by sex or for both sexes combined), providing more flexibility for the users and increasing the precision of the estimates. This fresh perspective consolidates a new method that outperforms all previous approaches.