In 2022, the number of reported deaths due to sudden infant death syndrome among infants in Spain amounted to 27 deaths for male infants and 21 deaths for female infants. Overall, more deaths due to sudden infant syndrome were registered among the male population than among the female population during the period analyzed.

This dataset is no longer updated as of April 2023.

Basic Metadata Note: The Sudden Infant Death Syndrome (SIDS) Rate is infant deaths (under one year of age) due to SIDS per 1,000 live births, by geography. Data set includes registered deaths only. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System, 2016. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Codes: ICD‐10 Mortality code R95.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Interpretation: "There were 5 SIDS deaths per 1,000 live births in Geography X".

The leading causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 20 percent of all infant deaths in the United States. Infant mortality in the United States Infant mortality refers to the death of a child under the age of one. In the United States, there were around 20,577 infant deaths in 2022. However, the infant mortality rate in the United States has decreased steadily over the past few decades. In 1990, the infant mortality rate was 9.4 per 1,000 live births, but had dropped to around 5.4 per 1,000 live births by 2022. Rates of infant mortality do vary depending on the state and region. For example, the infant mortality rate in Mississippi in 2022 was 9.11 per 1,000 live births, compared to a rate of just 3.32 per 1,000 live births in Massachusetts. What is sudden infant death syndrome (SIDS)? Sudden infant death syndrome (SIDS) is the third leading cause of infant death in the United States with a rate of around 40 deaths per 100,000 live births. SIDS is the unexplained death of an infant. In such cases, the baby usually seems to be healthy but suddenly dies, often during sleep. The cause of SIDS is unknown, but may be connected to problems in the brain controlling breathing and waking from sleep. In 2022, there were an estimated 1,531 deaths from SIDS in the United States. Mississippi and Arkansas are the states with the highest rates of sudden unexpected infant death, while Massachusetts and California have the lowest rates.

The following description is taken from the R vignette by Roger Bivand (linked to as a resource in this dataset) This dataset was presented first in Symons et al. (1983), analysed with reference to the spatial nature of the data in Cressie and Read (1985), expanded in Cressie and Chan (1989), and used in detail in Cressie (1991). It is for the 100 counties of North Carolina, and includes counts of numbers of live births (also non-white live births) and numbers of sudden infant deaths, for the July 1, 1974 to June 30, 1978 and July 1, 1979 to June 30, 1984 periods. Spatio-temporal addition: In this dataset we include the 'spatial-only' 1974--1978 period but also add a spatio-temporal version of the second period (1979 -- 1984). These latter data were studied in detail in a recent work by Zhuang and Cressie (2012). References: Cressie, N., 1991. Statistics for spatial data. New York: Wiley, pp. 900 Cressie, N., Chan N. H., 1989. Spatial modelling of regional variables. Journal of the American Statistical Association, 84 (406), 393–401. Cressie, N., Read, T. R. C., 1985. Do sudden infant deaths come in clusters?. Statistics and Decisions, Supplement Issue 2, 333–349 Symons, M. J., Grimson, R. C., Yuan, Y. C., 1983. Clustering of rare events. Bio- metrics, 39 (1), 193–205. Zhuang, L. and Cressie, N., 2012. Spatio-temporal modeling of Sudden Infant Death Syndrome data. Statistical Methodology, 9, 117–143.

Background: Sudden infant death syndrome (SIDS) is one of the leading causes of infant mortality in the United States (US). The extent to which SIDS manifests with an underlying neuropathological mechanism is highly controversial. SIDS correlates with markers of poor prenatal and postnatal care, generally rooted in the lack of access and quality of healthcare endemic to select racial and ethnic groups, and thus can be viewed in the context of health disparities. However, some evidence suggests that at least a subset of SIDS cases may result from a neuropathological mechanism. To explain these issues, a triple-risk hypothesis has been proposed, whereby an underlying biological abnormality in an infant facing an extrinsic risk during a critical developmental period SIDS is hypothesized to occur. Each SIDS decedent is thus thought to have a unique combination of these risk factors leading to their death. This article reviews the neuropathological literature of SIDS and uses machine learning tools to identify distinct subtypes of SIDS decedents based on epidemiological data.Methods: We analyzed US Period Linked Birth/Infant Mortality Files from 1990 to 2017 (excluding 1992–1994). Using t-SNE, an unsupervised machine learning dimensionality reduction algorithm, we identified clusters of SIDS decedents. Following identification of these groups, we identified changes in the rates of SIDS at the state level and across three countries.Results: Through t-SNE and distance based statistical analysis, we identified three groups of SIDS decedents, each with a unique peak age of death. Within the US, SIDS is geographically heterogeneous. Following this, we found low birth weight and normal birth weight SIDS rates have not been equally impacted by implementation of clinical guidelines. We show that across countries with different levels of cultural heterogeneity, reduction in SIDS rates has also been distinct between decedents with low vs. normal birth weight.Conclusions: Different epidemiological and extrinsic risk factors exist based on the three unique SIDS groups we identified with t-SNE and distance based statistical measurements. Clinical guidelines have not equally impacted the groups, and normal birth weight infants comprise more of the cases of SIDS even though low birth weight infants have a higher SIDS rate.

In 2023, congenital malformations accounted for around 20 percent of infant deaths in the United States. That year there, were around 4,030 infant deaths from congenital malformations. The leading five causes of infant death in the U.S. were the same from 2020 to 2023.

From 2016 to 2020, the rate of sudden infant death syndrome among Hispanics in the United States was 21.2 per 100,000 live births. This statistic shows the rates of sudden unexpected infant death (SUID) in the U.S. from 2016 to 2020, by cause and race and ethnicity.

BackgroundWhile the high prevalence of preterm births and its impact on infant mortality in the US have been widely acknowledged, recent data suggest that even full-term births in the US face substantially higher mortality risks compared to European countries with low infant mortality rates. In this paper, we use the most recent birth records in the US to more closely analyze the primary causes underlying mortality rates among full-term births.Methods and findingsLinked birth and death records for the period 2010–2012 were used to identify the state- and cause-specific burden of infant mortality among full-term infants (born at 37–42 weeks of gestation). Multivariable logistic models were used to assess the extent to which state-level differences in full-term infant mortality (FTIM) were attributable to observed differences in maternal and birth characteristics. Random effects models were used to assess the relative contribution of state-level variation to FTIM. Hypothetical mortality outcomes were computed under the assumption that all states could achieve the survival rates of the best-performing states. A total of 10,175,481 infants born full-term in the US between January 1, 2010, and December 31, 2012, were analyzed. FTIM rate (FTIMR) was 2.2 per 1,000 live births overall, and ranged between 1.29 (Connecticut, 95% CI 1.08, 1.53) and 3.77 (Mississippi, 95% CI 3.39, 4.19) at the state level. Zero states reached the rates reported in the 6 low-mortality European countries analyzed (FTIMR < 1.25), and 13 states had FTIMR > 2.75. Sudden unexpected death in infancy (SUDI) accounted for 43% of FTIM; congenital malformations and perinatal conditions accounted for 31% and 11.3% of FTIM, respectively. The largest mortality differentials between states with good and states with poor FTIMR were found for SUDI, with particularly large risk differentials for deaths due to sudden infant death syndrome (SIDS) (odds ratio [OR] 2.52, 95% CI 1.86, 3.42) and suffocation (OR 4.40, 95% CI 3.71, 5.21). Even though these mortality differences were partially explained by state-level differences in maternal education, race, and maternal health, substantial state-level variation in infant mortality remained in fully adjusted models (SIDS OR 1.45, suffocation OR 2.92). The extent to which these state differentials are due to differential antenatal care standards as well as differential access to health services could not be determined due to data limitations. Overall, our estimates suggest that infant mortality could be reduced by 4,003 deaths (95% CI 2,284, 5,587) annually if all states were to achieve the mortality levels of the best-performing state in each cause-of-death category. Key limitations of the analysis are that information on termination rates at the state level was not available, and that causes of deaths may have been coded differentially across states.ConclusionsMore than 7,000 full-term infants die in the US each year. The results presented in this paper suggest that a substantial share of these deaths may be preventable. Potential improvements seem particularly large for SUDI, where very low rates have been achieved in a few states while average mortality rates remain high in most other areas. Given the high mortality burden due to SIDS and suffocation, policy efforts to promote compliance with recommended sleeping arrangements could be an effective first step in this direction.

Number of infant deaths and infant mortality rates, by age group (neonatal and post-neonatal), 1991 to most recent year.

Serum samples were collected postmortem from infants dying of Sudden Infant Death Syndrome.

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024

Sudden Unexpected Infant Death Rate - This indicator shows the rate of sudden unexpected infant deaths (SUIDs) per 1,000 live births. Sudden unexpected infant deaths (SUIDs) include deaths from Sudden Infant Death Syndrome (SIDS), unknown cause, accidental suffocation and strangulation in bed. Three hundred and sixty-two babies died from SUIDs in Maryland from 2005-2009. https://health.maryland.gov/pophealth/Documents/SHIP/SHIP%20Lite%20Data%20Details/Sudden%20Unexpected%20Infant%20Death.pdf" > Link to Data Details

Financial overview and grant giving statistics of American Association of Sids Prevention Physicians Inc.

In 2023, congenital malformations accounted for the largest portion of infant deaths in the United States. That year, there were around *** infant deaths from congenital malformations per 100,000 live births. The leading five causes of infant death in the U.S. were the same from 2019 to 2023.

Small Island Developing States (SIDS) are a distinct group of 39 States and 18 Associate Members of United Nations regional commissions that face unique social, economic and environmental vulnerabilities. https://www.un.org/ohrlls/content/list-sids.SIDS were recognized as a special case both for their environment and development at the 1992 United Nations Conference on Environment and Development held in Rio de Janeiro, Brazil.

Sudden infant death syndrome (SIDS) is one of the primary causes of death of infants in the first year of life. According to the WHO's data, the global infant mortality rate is 0.64–2 per 1,000 live-born children. Molecular and cellular aspects of SIDS development have not been identified so far. The purpose of this paper is to verify and analyze the expression of melatonin 1 and 2 receptors, serotonin (as a melatonin precursor), and CD34 molecules (as hematopoietic and endothelial markers of cardiovascular damage) in the medulla, heart, and aorta in infants who died from SIDS. An immunohistochemical method was used to investigate samples of medulla, heart, and aorta tissues of infants 3 to 9 months of age who died from SIDS. The control group included children who died from accidents. It has been shown that the expression of melatonin receptors as well as serotonin and CD34 angiogenesis markers in tissues of the medulla, heart, and aorta of infants who died from SIDS is statistically lower as compared with their expression in the same tissues in children who died from accidents. The obtained data allows to clarify in detail the role of melatonin and such signaling molecules as serotonin and CD34 in SIDS pathogenesis, which can open new prospects for devising novel methods for predictive diagnosis of development and targeted prophylaxis of SIDS.

In 2023, ** infants died in Germany as a result of sudden infant death syndrome. The syndrome refers to the unexpected death of an infant, which usually happens during a sleep phase. Figures have been decreasing significantly compared to earlier years.

In 2022, the infant mortality rate in the United States was 5.4 out of every 1,000 live births. This is a significant decrease from 1960, when infant mortality was at around 26 deaths out of every 1,000 live births. What is infant mortality? The infant mortality rate is the number of deaths of babies under the age of one per 1,000 live births. There are many causes for infant mortality, which include birth defects, low birth weight, pregnancy complications, and sudden infant death syndrome. In order to decrease the high rates of infant mortality, there needs to be an increase in education and medicine so babies and mothers can receive the proper treatment needed. Maternal mortality is also related to infant mortality. If mothers can attend more prenatal visits and have more access to healthcare facilities, maternal mortality can decrease, and babies have a better chance of surviving in their first year. Worldwide infant mortality rates Infant mortality rates vary worldwide; however, some areas are more affected than others. Afghanistan suffered from the highest infant mortality rate in 2024, and the following 19 countries all came from Africa, with the exception of Pakistan. On the other hand, Slovenia had the lowest infant mortality rate that year. High infant mortality rates can be attributed to lack of sanitation, technological advancements, and proper natal care. In the United States, Massachusetts had the lowest infant mortality rate, while Mississippi had the highest in 2022. Overall, the number of neonatal and post neonatal deaths in the United States has been steadily decreasing since 1995.

Financial overview and grant giving statistics of Jason Lutz Sids Foundation

Monthly weather conditions of SIDS case and control days, Vienna, April–October 1984–2014.

Financial overview and grant giving statistics of De Cavel Family Sids Foundation