Graph and download economic data for Infant Mortality Rate for the United States (SPDYNIMRTINUSA) from 1960 to 2023 about mortality, infant, rate, and USA.

These files are the graphs obtained by one parametric fitting of Japanese male mortality curves, and the used EXCEL file without macros. I added some comments on the worksheets. The same method is used as written in my theses "Basic Research of the Method of Human Mortality Curve Fitting and Mortality Forecast using Three Parametric Gamma Vitality Model".

Mortality rates (qx) values from the national life tables release, presented in time series format. These statistics are for males and females for England, Wales, Scotland, Northern Ireland and the UK.

Background: Under-five mortality remains concentrated in resource-poor countries. Post-discharge mortality is becoming increasingly recognized as a significant contributor to overall child mortality. With a substantial recent expansion of research and novel data synthesis methods, this study aims to update the current evidence base by providing a more nuanced understanding of the burden and associated risk factors of pediatric post-discharge mortality after acute illness. Methods: Eligible studies published between January 1, 2017 and January 31, 2023, were retrieved using MEDLINE, Embase, and CINAHL databases. Studies published before 2017 were identified in a previous review and added to the total pool of studies. Only studies from countries with low or low-middle Socio-Demographic Index with a post-discharge observation period greater than seven days were included. Risk of bias was assessed using a modified version of the Joanna Briggs Institute critical appraisal tool for prevalence studies. Studies were grouped by patient population, and 6-month post-discharge mortality rates were quantified by random-effects meta-analysis. Secondary outcomes included post-discharge mortality relative to in-hospital mortality, pooled risk factor estimates, and pooled post-discharge Kaplan–Meier survival curves. PROSPERO study registration: #CRD42022350975. Findings: Of 1963 articles screened, 42 eligible articles were identified and combined with 22 articles identified in the previous review, resulting in 64 total articles. These articles represented 46 unique patient cohorts and included a total of 105,560 children. For children admitted with a general acute illness, the pooled risk of mortality six months post-discharge was 4.4% (95% CI: 3.5%–5.4%, I2 = 94.2%, n = 11 studies, 34,457 children), and the pooled in-hospital mortality rate was 5.9% (95% CI: 4.2%–7.7%, I2 = 98.7%, n = 12 studies, 63,307 children). Among disease subgroups, severe malnutrition (12.2%, 95% CI: 6.2%–19.7%, I2 = 98.2%, n = 10 studies, 7760 children) and severe anemia (6.4%, 95% CI: 4.2%–9.1%, I2 = 93.3%, n = 9 studies, 7806 children) demonstrated the highest 6-month post-discharge mortality estimates. Diarrhea demonstrated the shortest median time to death (3.3 weeks) and anemia the longest (8.9 weeks). Most significant risk factors for post-discharge mortality included unplanned discharges, severe malnutrition, and HIV seropositivity. Interpretation: Pediatric post-discharge mortality rates remain high in resource-poor settings, especially among children admitted with malnutrition or anemia. Global health strategies must prioritize this health issue by dedicating resources to research and policy innovation. Data Processing Methods: Data were extracted using a standard data extraction form developed by the review authors. Kaplan–Meier survival curves, where provided, were extracted using a plot digitizer. The data extraction file, “PDMSR2024_DataExtraction_Dataset_SD” was generated as described above and analyzed as is. Co-ordinates were extracted from the survival curves in their original, published form, using a plot digitizer (https://automeris.io/WebPlotDigitizer/). The co-ordinates for each survival curve were then cleaned up to: 1. Re-scale the time points to weeks 2. Curves which reported % mortality were converted to % survival (1 – mortality) 3. First co-ordinate was set to (0, 1), i.e., survival is 100% at time-point 0 4. Include the numbers at risk (if reported), primary reference, and subgroup information Using these cleaned co-ordinates, individual-level patient data were extracted (see Guyot et al, 2012, doi.org/10.1186/1471-2288-12-9) and the survival curves re-constructed to obtain the survival and number at risk at specified time-points (0-52 weeks). Where possible, disease and age subgroups were combined to create all admissions curves by combining the individual-level patient data from multiple curves in the same study. Additional data from the survival curves were extracted to produce the “PDMSR2024_AdditionalDataSurvivalCurves6M_Dataset_SD” and “PDMSR2024_AdditionalDataSurvivalCurves12M_Dataset_SD” files by extracting the survival rate at 6 and 12 months. Previously unpublished hazards ratios were extracted from the dataset used in the Wiens et al (2015) study on post-discharge mortality (doi:10.1136/bmjopen-2015-009449) to produce the “PDMSR2024_Wiens2015HazardsRatios_Dataset_SD.xlsx” file. These original data are published on Dataverse at: doi.org/10.5683/SP2/VBPLRM Analyses were in R version 4.3.0 (R Foundation for Statistical Computing, Vienna, Austria), and RStudio version 2023.6.1 (RStudio, Boston, MA). Additional Files: Survival curves in their original, published form, as well as survival curve coordinates files can be made available by request. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business...

Graph and download economic data for Infant Mortality Rate for Middle Income Countries (SPDYNIMRTINMIC) from 1990 to 2023 about mortality, infant, income, and rate.

Life expectancy at a given age is a summary measure of mortality rates present in a population (estimated as the area under the survival curve), and represents the average number of years an individual at that age is expected to live if current age-specific mortality rates apply now and in the future. A complementary metric is the number of Life Years Lost, which is used to measure the reduction in life expectancy for a specific group of persons, for example those diagnosed with a specific disease or condition (e.g. smoking). However, calculation of life expectancy among those with a specific disease is not straightforward for diseases that are not present at birth, and previous studies have considered a fixed age at onset of the disease, e.g. at age 15 or 20 years. In this paper, we present the R package lillies (freely available through the Comprehensive R Archive Network; CRAN) to guide the reader on how to implement a recently-introduced method to estimate excess Life Years Lost associated with a disease or condition that overcomes these limitations. In addition, we show how to decompose the total number of Life Years Lost into specific causes of death through a competing risks model, and how to calculate confidence intervals for the estimates using non-parametric bootstrap. We provide a description on how to use the method when the researcher has access to individual-level data (e.g. electronic healthcare and mortality records) and when only aggregated-level data are available.

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

The probability of dying between birth and the exact age of 1, expressed per 1,000 live births. The data is sorted by both sex and total and includes a range of values from 1900 to 2019. The calculation for infant mortality rates is derived from a standard period abridged life table using the age-specific deaths and mid-year population counts from civil registration data. This data is sourced from the UN Inter-Agency Group for Child Mortality Estimation. The UN IGME uses the same estimation method across all countries to arrive at a smooth trend curve of age-specific mortality rates. The estimates are based on high quality nationally representative data including statistics from civil registration systems, results from household surveys, and censuses. The child mortality estimates are produced in conjunction with national level agencies such as a country’s Ministry of Health, National Statistics Office, or other relevant agencies.

Deaths per 1000 children aged 1 to 4 years old. The data is sorted by both sex and total and includes a range of values from 1950 to 2019. This data is sourced from the UN Inter-Agency Group for Child Mortality Estimation. The UN IGME uses the same estimation method across all countries to arrive at a smooth trend curve of age-specific mortality rates. The estimates are based on high quality nationally representative data including statistics from civil registration systems, results from household surveys, and censuses. The child mortality estimates are produced in conjunction with national level agencies such as a country’s Ministry of Health, National Statistics Office, or other relevant agencies.

The study develops and validates a theoretical model to predict thermal mortality under natural conditions, based on measurements of mortality performed in the laboratory at multiple constant temperatures. The theoretical model first fits a thermal tolerance landscape, which describes how survival probability is affected by both temperature and exposure time, to the empirical measurements of mortality obtained in the laboratory under controlled conditions. Then, employing a numerical approximation to the analytical solution based on differential calculus, it combines this tolerance landscape with ambient temperature records in natural settings to predict the survival probability curve under these thermal conditions. These predictions were validated by contrasting predicted and observed mortality curves in 11 Drosophila species under three different warming rates, reported in the literature, which were virtually indistinguishable. Having validated the model, the study then examines how m...

Graph and download economic data for Infant Mortality Rate for Developing Countries in Middle East and North Africa (SPDYNIMRTINMNA) from 1990 to 2023 about North Africa, Middle East, mortality, infant, and rate.

In 2021, there were around 246 deaths from Parkinson's disease among those aged 85 years and older, per 100,000 population. This graph displays the death rate from Parkinson's disease in the U.S. in 2021, by age.

Infant Mortality Rate for the United States was 5.50000 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, Infant Mortality Rate for the United States reached a record high of 25.90000 in January of 1960 and a record low of 5.50000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Infant Mortality Rate for the United States - last updated from the United States Federal Reserve on July of 2025.

BackgroundExisting evidence on the association between blood pressure (BP) and mortality risk in intensive care unit (ICU) patients with atrial fibrillation (AF) is scarce.AimThis study aimed to assess the associations between blood pressure (BP) and risks of in-hospital and all-cause mortality in ICU patients with AF.MethodsA total of 2,345 records of patients with AF whose BP was monitored after admission to the ICU were obtained from the MIMIC-III database. Incidences were calculated for endpoints (hospital mortality, 7-day mortality, 30-day mortality, and 1-year mortality). We performed smooth curve and logistic regression analyses to evaluate the association between BP and the risk of each endpoint.ResultsSmooth curve regression showed that systolic blood pressure (SBP), mean arterial pressure (MBP), and diastolic blood pressure (DBP) followed U-shaped curves with respect to endpoints (hospital mortality, 7-day mortality, 30-day mortality, and 1-year mortality). The incidence of these endpoints was lowest at 110/70/55 mm Hg. There was an increased risk of 1-year mortality observed with BP > 110/70/55 mm Hg (SBP, odds ratio [OR] = 1.008, 95% CI 1.001–1.015, p = 0.0022; MBP, OR = 1.010, 95% CI 1.005–1.016, p < 0.001) after adjusting for age, sex, and medical history. In contrast, an inverse association between BP and the risk of 1-year mortality was observed with BP ≤ 110/70/55 mm Hg (SBP, OR = 0.981, 95% CI 0.974–0.988, p < 0.001; MBP OR = 0.959, 95% CI 0.939–0.979, p < 0.001; and DBP, OR = 0.970, 95% CI 0.957–0.983, p < 0.001).ConclusionsWe observed a U-shaped association between BP and in-hospital/all-cause mortality in ICU patients with AF. However, the underlying causes need to be investigated.

The probability of dying within the first 28 days of life, expressed per 1,000 live births. The data includes a range of values from 1951 to 2019. The neonatal mortality rate (NMR) is calculated with the number of deaths of infants under one month of age and the number of live births in a given year. Since 1990, the global neonatal mortality rate fell by 52 per cent to 17 deaths per 1,000 live births in 2019—down from 37 deaths per 1,000 in 1990. This data is sourced from the UN Inter-Agency Group for Child Mortality Estimation. The UN IGME uses the same estimation method across all countries to arrive at a smooth trend curve of age-specific mortality rates. The estimates are based on high quality nationally representative data including statistics from civil registration systems, results from household surveys, and censuses. The child mortality estimates are produced in conjunction with national level agencies such as a country’s Ministry of Health, National Statistics Office, or other relevant agencies.

United States - Infant Mortality Rate for Caribbean Small States was 16.69658 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, United States - Infant Mortality Rate for Caribbean Small States reached a record high of 62.07140 in January of 1960 and a record low of 14.04995 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Infant Mortality Rate for Caribbean Small States - last updated from the United States Federal Reserve on July of 2025.

Infant Mortality Rate for Low and Middle Income Countries was 29.54392 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, Infant Mortality Rate for Low and Middle Income Countries reached a record high of 153.60000 in January of 1960 and a record low of 29.54392 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Infant Mortality Rate for Low and Middle Income Countries - last updated from the United States Federal Reserve on July of 2025.

Infant Mortality Rate: All Income Levels for Europe and Central Asia was 6.60000 Number per 1,000 Live Births in January of 2023, according to the United States Federal Reserve. Historically, Infant Mortality Rate: All Income Levels for Europe and Central Asia reached a record high of 41.36680 in January of 1970 and a record low of 6.50000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Infant Mortality Rate: All Income Levels for Europe and Central Asia - last updated from the United States Federal Reserve on June of 2025.

2000 forward. NVSS is a secure, web-based data management system that collects and disseminates the Nation's official vital statistics. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This is one of the datasets provided by the National Cardiovascular Disease Surveillance System. The system is designed to integrate multiple indicators from many data sources to provide a comprehensive picture of the public health burden of CVDs and associated risk factors in the United States. The data are organized by location (national and state) and indicator; NVSS mortality data include CVDs (e.g., heart failure). The data can be viewed by temporal trends and stratified by age group, sex, and race/ethnicity.