Total current population for the world in 2025 is 8,191,988,453, a 0.9% increase from 2024.

<ul style='margin-top:20px;'>

<li>Total population for the world in 2024 was <strong>8,118,835,999</strong>, a <strong>0.71% increase</strong> from 2023.</li>
<li>Total population for the world in 2023 was <strong>8,061,876,001</strong>, a <strong>0.9% increase</strong> from 2022.</li>
<li>Total population for the world in 2022 was <strong>7,989,981,520</strong>, a <strong>0.87% increase</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

The Data Sheet lists all geopolitical entities with populations of 150,000 or more and all members of the UN. These include sovereign states, dependencies, overseas departments, and some territories whose status or boundaries may be undetermined or in dispute. Regional population totals are independently rounded and include small countries or areas not shown. Regional and world rates and percentages are weighted averages of countries for which data are available; regional averages are shown when data or estimates are available for at least three-quarters of the region's population. Variables include population, birth and death rate, rate of natural increase, population "doubling time", estimated population for 2010 and 2025, infant mortality rate, total fertility rate, population under age 15/over age 65, life expectancy at birth, urban population, contraceptive use, per capita GNP, and government view of current birth rate. NOTE: This file is a compilation of demographic data from various sources. The data values are the same as those published in PRB's World Data Sheet, but this file also contains some underlying population figures used to calculate the rates and percentages.

(by Joseph Kerski)This map is for use in the "What is the spatial pattern of demographic variables around the world?" activity in Section 1 of the Going Places with Spatial Analysiscourse. The map contains population characteristics by country for 2013.These data come from the Population Reference Bureau's 2014 World Population Data Sheet.The Population Reference Bureau (PRB) informs people around the world about population, health, and the environment, empowering them to use that information to advance the well-being of current and future generations.PRB analyzes complex demographic data and research to provide the most objective, accurate, and up-to-date population information in a format that is easily understood by advocates, journalists, and decision makers alike.The 2014 year's data sheet has detailed information on 16 population, health, and environment indicators for more than 200 countries. For infant mortality, total fertility rate, and life expectancy, we have included data from 1970 and 2013 to show change over time. This year's special data column is on carbon emissions.For more information about how PRB compiles its data, see: https://www.prb.org/

This layer contains population counts and 10 indicators of global population and maternal health by country. Layer is rendered to show the percent of married women ages 15-49 using any contraception. Data is from Population Reference Bureau's 2017 World Population Data Sheet or from their DataFinder site. Fields included are:Population, mid-2017 (reported in millions)Percent of Population Ages <15Percent of Population Ages 65+Male Life Expectancy at BirthFemale Life Expectancy at BirthTotal Fertility Rate: Children per WomanInfant Mortality Rate: Infant Deaths per 1,000 BirthsMaternal Mortality Rate: Maternal Deaths per 100,000 Births (from DataFinder, data from 2013)% Births Attended by Skilled Health Personnel (from DataFinder, year of most recent data available is different for each country, oldest is 2011)% Married Women Ages 15-49 Using Modern Contraception*% Married Women Ages 15-49 Using Any Contraception**Null values indicate that data is not available.*Modern methods include anything that requires supplies or trips to a clinic: condom, pill, injection, IUD, sterilization, etc.**Any method includes modern methods as well as abstinence, fertility awareness/cycle beads, withdrawal, and any other methods that do not require supplies or clinics.For detailed definitions, sources, and footnotes, see page 20 of PRB's 2017 World Population Data Sheet and PRB's DataFinder site.

The numerical data for Fig 10 is stored in a shapefile, which can be accessed through this link: https://www.kaggle.com/datasets/keminzhu/basemap-shenzhen-subzones. (XLSX)

BackgroundAccording to the 2014 World Population Data Sheet, Nigeria has one of the highest fertility and lowest contraceptive prevalence rates around the world. However, research suggests that national contraceptive prevalence rate overshadows enormous spatial variations in reproductive behavior in the country.ObjectiveI examined the variations in women’s socioeconomic status and modern contraceptive use across states in Nigeria.MethodsUsing the 2013 Nigeria Demographic and Health Survey data (n = 18,910), I estimated the odds of modern contraceptive use among sexually active married and cohabiting women in a series of multilevel logistic regression models.ResultsThe share of sexually active, married and cohabiting women using modern contraceptives widely varied, from less than one percent in Kano, Yobe, and Jigawa states, to 40 percent in Osun state. Most of the states with low contraceptive prevalence rates also ranked low on women’s socioeconomic attributes. Results of multilevel logistic regression analyses showed that women residing in states with greater shares of women with secondary or higher education, higher female labor force participation rates, and more women with health care decision-making power, had significantly higher odds of using modern contraceptives. Differences in women’s participation in health care decisions across states remained significantly associated with modern contraceptive use, net of individual-level socioeconomic status and other covariates of modern contraceptive use.ConclusionUnderstanding of state variations in contraceptive use is crucial to the design and implementation of family planning programs. The findings reinforce the need for state-specific family planning programs in Nigeria.

This map shows the average number of children born to a woman during her lifetime. Data from Population Reference Bureau's 2017 World Population Data Sheet. The world's total fertility rate reported in 2017 was 2.5 as a whole. Replacement-Level fertility is widely recognized as 2.0 children per woman, so as to "replace" each parent in the next generation. Countries depicted in pink have a total fertility rate below replacement level whereas countries depicted in teal have a total fertility rate above replacement level. In countries with very high child mortality rates, a replacement level of 2.1 could be used, since not every child will survive into their reproductive years. Determinants of Total Fertility Rate include: women's education levels and opportunities, marriage rates among women of childbearing age (generally defined as 15-49), contraceptive usage and method mix/effectiveness, infant & child mortality rates, share of population living in urban areas, the importance of children as part of the labor force (or cost/penalty to women's labor force options that having children poses), and religious and cultural norms, among many other factors. This map was made using the Global Population and Maternal Health Indicators layer.

This activity uses Map Viewer and is designed for intermediate users. We recommend MapMaker when getting started with maps in the classroom - see this StoryMap for the same activity in MapMaker.ResourcesMapTeacher guide Student worksheetVocabulary and puzzlesSelf-check questionsGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.AP skills & objectives (CED)Skill 3.B: Describe spatial patterns presented in maps and in quantitative and geospatial data.PSO-2.A: Identify the factors that influence the distribution of human populations at different scales.SPS-2A: Explain the intent and effects of various population and immigration policies on population size and composition.Learning outcomesStudents will be able to visualize and analyze variations in the time-space compression.

India is the most populous country in the world with one-sixth of the world's population. According to official estimates in 2022, India's population stood at over 1.42 billion.

This dataset contains the population distribution by state, gender, sex & region.

The file is in .csv format thus it is accessible everywhere.

IntroductionOptimizing vancomycin dosing in neonates is a critical yet complex goal. Traditional trough concentration-based dosing strategies correlate poorly with therapeutic efficacy and often fail to account for the significant renal function variability and drug clearance in neonates. The 24-hour area under the concentration-time curve to minimum inhibitory concentration (AUC24/MIC) ≥ 400 mg h/L has emerged as a superior pharmacodynamic target. Population pharmacokinetics (PopPK) models allow optimized dosing by incorporating neonatal-specific factors such as postmenstrual age (PMA), gestational age (GA), serum creatinine (SCr), and weight.ObjectiveTo develop optimized vancomycin dosing regimens for neonates that achieve an 80% probability of target attainment (PTA) for an AUC24/MIC ≥ 400 mg h/L across diverse clinical cohorts and simulated neonatal populations.MethodsReal-world data from three international centers (Belgium, New Zealand, USA), including 610 individuals and 2399 vancomycin concentrations, were used to externally evaluate a previously published PopPK model (NONMEM®). Missing data, including body weight, were imputed using Amelia II version 1.7.3 for R, while Zelig for R integrated multiple imputed datasets. A virtual population of 10,000 neonates was independently generated using MATLAB to simulate clinical scenarios considering covariates such as PMA, GA, SCr, body weight, and imputed body length.ResultsSimulations showed that PMA and SCr were key covariates that significantly improved PTA, particularly in preterm neonates. Preterm neonates achieved PTAs of 80% with daily doses of 30 or 40 mg/kg/day, while term neonates required 15 mg/kg every 8 hours or 20 mg/kg every 12 hours. The simulations demonstrated that these optimized dosing strategies achieved an 80% PTA for AUC24/MIC ≥ 400 mg h/L in the virtual neonatal population. For neonates with PMA < 29 weeks and SCr > 0.6 mg/dL, including SCr as a covariate increased the likelihood of achieving the target from 65% to 87%.ConclusionIncorporating developmental factors like PMA and SCr into vancomycin dosing strategies achieved robust and clinically relevant outcomes. The optimized regimens achieved an 80% PTA for the AUC24/MIC target for preterm and term neonates. These findings offer a scalable framework for improving neonatal vancomycin pharmacotherapy across diverse populations and clinical settings.

The "State Fact Sheets" provide the most recently available farm and rural data compiled by the Economic Research Service, USDA. It provide 2 pages of facts for each state and also a summary fact sheet for the United States. Included are data on population, jobs, income and poverty, and farms. The data comes from a variety of sources including the Bureau of Labor Statistics, Bureau of Economic Analysis, the Bureau of the Census, and ERS.

Collection Organization: Economic Research Service.

Collection Methodology: The data come from a variety of sources including the Bureau of Labor Statistics, Bureau of Economic Analysis, the Bureau of the Census, and ERS.

Collection Frequency: Varies by data source.

Update Characteristics: Selective updates 2 times a year.

STATISTICAL INFORMATION:

The data reside in 52 ASCII text files. LANGUAGE:

English ACCESS/AVAILABILITY:

Data Center: USDA Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University.

URL: 'http://usda.mannlib.cornell.edu/usda'

Access to the data or reports may be achieved through the ERS-NASS information system:

WWW: 'http://usda.mannlib.cornell.edu/usda' Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/'

For subscription direct to an e-mail address, send an e-mail message to:

usda-reports@usda.mannlib.cornell.edu

Type the word "lists" (without quotes) in the body of the message.

BackgroundIschemic heart disease (IHD) is a leading cause of death and disability, particularly affecting the older adult population. Extreme temperatures, especially very low and very high temperatures, are known to exacerbate cardiovascular disease burden. With the ongoing global climate change, understanding the impact of non-optimal temperatures on IHD burden becomes increasingly important, especially in vulnerable populations such as the older adult.MethodsThis study used data from the Global Burden of Disease Study 2021 (GBD 2021) to analyze the spatiotemporal trends of low and high temperatures on IHD burden in the older adult population (aged 60 and above) from 1990 to 2021. We used age-standardized rates (ASR), annual percentage change (EAPC), and the Bayesian age-period-cohort (BAPC) model to forecast 2050. Additionally, the geographic differences in IHD burden were analyzed using World Bank regions.ResultsFrom 1990 to 2021, the IHD burden in the older adult population was mainly attributed to low temperatures. However, it has increased the burden of IHD due to high temperatures, especially in tropical and low-income regions. The analysis of gender difference revealed that men are usually more affected by high temperatures, though generally, women are more sensitive to low temperatures. Forecasts are that in the future, the burden of IHD due to high temperatures will continue to rise, especially in areas with limited adaptive capacity.ConclusionAlthough low temperature remains the most important contributor to IHD burden among the older adult, the burden attributable to high temperature is on the rise, which increases the need to address the extreme temperature fluctuation. That is more so in poor-income and tropical regions where the most vulnerable populations bear a higher risk for health. Thus, there is an urgent need to develop adaptive public health measures against the dual health risks from extreme temperatures. The findings emphasize that targeted interventions are necessary, with adjustments in regional differences and gender-specific risks to effectively address the growing health threats from climate change.

Context

World fact sheet, fun to link with other datasets.

Content

Information on population, region, area size, infant mortality and more.

Acknowledgements

Source: All these data sets are made up of data from the US government. Generally they are free to use if you use the data in the US. If you are outside of the US, you may need to contact the US Govt to ask. Data from the World Factbook is public domain. The website says "The World Factbook is in the public domain and may be used freely by anyone at anytime without seeking permission."
https://www.cia.gov/library/publications/the-world-factbook/docs/faqs.html

Inspiration

When making visualisations related to countries, sometimes it is interesting to group them by attributes such as region, or weigh their importance by population, GDP or other variables.

ObjectiveTo investigate the trends in epilepsy prevalence, incidence, mortality, and disability-adjusted life-years (DALYs) in all ages, with risk factors for epilepsy - associated death, from 1990 to 2021.MethodsUsing the standardized Global Burden of Disease (GBD) methodologies, we evaluated the burden of epilepsy in 204 countries and regions from 1990 to 2021, aiming to derive a more precise representation of the health burden posed by epilepsy by considering four distinct types of epidemiological data, namely the prevalence, incidence, mortality, and DALYs. The presented data were meticulously estimated and displayed both as numerical counts and as age-standardized rates per 100,000 persons of the population. All estimates were calculated with 95% uncertainty intervals (UI).FindingIn 2021, there were 24,220,856 (95% UI: 18,476,943–30,677,995) patients with epilepsy, with an age-standardized prevalence rate (ASPR) of 307.38 per 100,000 persons (95% UI: 234.71–389.02) and an age-standardized incidence rate (ASIR) of 42.821 per 100,000 persons (95% UI: 31.24–53.72).The global age-standardized mortality rate (ASMR) of epilepsy was 1.74 per 100,000 population (95% UI: 1.46–1.92); The age-standardized DALYs rate (ASDR) were 177.85 per 100,000 population (95% UI: 137.66–225.90); 154.25 per 100,000 population for females [114.73–201.76], and 201.29 per 100,000 population for males [157.93–252.74]. All of the ASPR, ASIR, ASMR and ASDR of males were higher than those of females, and the ASIR of epilepsy was the highest in children aged 0–14, at 61.00(95% UI: 39.09–86.21), while the older adult group aged 70+ has the highest ASMR of 5.67(95% UI: 4.76–6.18). From 1990 to 2021, the number of epilepsy-related deaths and DALYs both decreased. However, the ASPR of epilepsy increased by about 6.9% (95% UI: −0.10–0.26), and the ASIR increased by almost 12% (95% UI: 0.05–0.33). The trends in ASPR, ASIR, ASMR and ASDR exhibited notable variations across different regions.ConclusionEpilepsy is an increasing global health challenge with rising prevalence and incidence. Results of this cross-sectional study suggest that despite the global decline in deaths and DALYs, Epilepsy remains an important cause of disability and death, especially in low SDI regions. An improved understanding of the epidemiology of epilepsy may potentially have considerable benefits in reducing the global burden of epilepsy, by aiding in policy-making in low-income countries, provide data support for research on epilepsy medications and treatment methods.

BackgroundRheumatoid arthritis (RA) is an autoimmune and inflammatory disease. In elderly patients, the disease progresses more rapidly, involves more complications, and places a greater burden on health. Currently, there is a lack of studies investigating the disease burden of RA in the elderly population.MethodsWe analyzed data on elderly rheumatoid arthritis from the Global Burden of Disease (GBD) database for 1990–2021, focusing on three main indicators: prevalence, incidence, and Disability-Adjusted Life Years (DALYs). Percentage change and the estimated annual percentage change (EAPC) were used to evaluate the trends in the disease burden.ResultsIn 2021, the global prevalence cases, incidence cases, and DALYs of elderly RA were 7,919,136, 334,291, and 1,549,877, representing increases of 157.59%, 169.71%, and 116.53% compared to 1990. Both the prevalence rate and incidence rate increased, with EAPCs of 0.54 (95% CI: 0.5, 0.58) and 0.75 (95% CI: 0.7, 0.79), respectively. Notably, the prevalence rate in females was 2.2 times higher than that in males. The DALY rate showed a slight decline. Among the five Socio-demographic Index (SDI) regions, the High SDI region had the highest prevalence cases, incidence cases, and DALYs in 2021, with 2,821,305, 114,994, and 483,579, respectively, accounting for 36%, 34%, and 32% of the global totals. This region also recorded the highest prevalence and incidence rates. In contrast, the Low SDI and Low-middle SDI regions exhibited the fastest growth in both prevalence and incidence cases as well as rates. The highest prevalence cases and incidence rate were observed in the 65–69 age group. Decomposition analysis revealed that the rising disease burden was primarily attributable to the growth of the global elderly population.ConclusionsBetween 1990 and 2021, the global burden of rheumatoid arthritis in the elderly population increased. The High SDI region experienced the highest disease burden. In contrast, the Low and Low-middle SDI regions showed the most rapid growth in disease burden. Females exhibited a higher burden compared to males, with the highest burden observed in the 65–69 age group. Early diagnosis and treatment in elderly patients are essential to mitigating adverse outcomes and reducing the burden.

Abstract

The National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India, each state/union territory (UT), and for 707 districts.

The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child mortality, maternal and child health, and other health and family welfare indicators by background characteristics at the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, noncommunicable diseases, and the use of emergency contraception.

The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific health areas.

The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference, Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 54

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-54, and all children aged 0-5 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

A uniform sample design, which is representative at the national, state/union territory, and district level, was adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-stratified into smaller substrata which are created considering the village population and the percentage of the population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum, a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was selected with an equal probability systematic selection from a newly created list of households in the selected PSUs. The list of households was created as a result of the mapping and household listing operation conducted in each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs) were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was completed in 30,198 PSUs.

For further details on sample design, see Section 1.2 of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four survey schedules/questionnaires: Household, Woman, Man, and Biomarker were canvassed in 18 local languages using Computer Assisted Personal Interviewing (CAPI).

Cleaning operations

Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies central office, and IIPS checked the secondary edits before the dataset was finalized.

Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors that might have occurred in eliciting information and recording question responses. Information from the field-check tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field Agencies during the fieldwork so that the performance of the teams could be improved, if required.

Response rate

A total of 664,972 households were selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were successfully interviewed, for a response rate of 98 percent.

In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews. Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a response rate of 92 percent.

The documents available for downloading are:

A scanned copy of a notebook from data collection/analysis Two annotated copies of a typed list detailing the contents of the stomachs of bird species from Heard Island Iles de Kerguelen.

Some correspondence is also included with the stomach content lists.

The typed lists refer to data collected in 1950, whereas the notebook refers to data collected in 1951.

The livestock holdings estimates in this coverage are intend for use in estimating regional livestock holdings, and in producing visual displays and mapping relative amounts of agricultural livestock holdings across broad regions of the United States.

This coverage contains estimates of livestock holdings in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department of Commerce, 1989a). Livestock holdings data are reported as either a number (for example, number of milk cows), number of farms, or in thousands of dollars. Livestock holdings estimates were generated from surveys of all farms where $1,000 or more of agricultural products were sold, or normally would have been sold, during the census year.

Most of the attributes summarized represent 1987 data, but some information for the 1982 Census of Agriculture also was included.

The polygons representing county boundaries in the conterminous United States, as well as lakes, estuaries, and other nonland-area features were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000-scale map in the National Atlas of the United States (1970).

Livestock Census of Agriculture Counties United States

Procedures_Used: CENSUS DATA An automated procedure was developed for processing the raw census data into ARC/INFO coverage attributes. The procedure is summarized below: 1) copy county2m coverage to coverage representing type of census data (i.e. ag_expn or ag_land), 2) run agadd.aml for each item added to the coverage, giving coverage name and attribute field number as arguments.

The agadd.aml program runs a fortran program to extract field data from the raw census data files, and then processes that raw data finally adding it as a column of attribute data to the county coverage. Other programs were developed to calculate summary statistics of the census attribute data, and to make graphics representing attribute values across the United States. COUNTY

BOUNDARIES

This series of maps was published as part of the National Atlas of the United States (U.S.Geological Survey, 1970). The maps for the conterminou United States were digitized in 15 sheets and published in the Digital Lin Graph (DLG) format as described by Domeratz and others (1983).

Each sheet was prepared by reading the DLG files of the political and water bodies layers, converting them to ARC/INFO, extracting the county boundaries and the coastline, respectively, and joining the two layers. FIPS codes were assigned to all polygons by using available sources and were checked manually.

Boundaries with adjacent sheets of the 15-sheet set were edgematched manually, arbitrarily choosing one of the sheets as the "correct" border. Edgematching operations adjusted the linework as far as was necessary so that the coverages would fit to a tolerance of 100 meters. The coverage (referred to herein as Version 1.0) was stored as 49 separate coverages (48 States and the District of Columbia) because the ARC/INFO software in use at the time could not process the entire coverage. Individual States could be joined by specifying a tolerance of 100 meters.

From time to time, adjustments were made to the State coverages to reflect changes in U.S. counties. It is believed the accuracy of these adjustments is comparable to the original linework.

For Version 2.0, all State coverages were rejoined and manually edited to produce a perfect edgematch between all States. For States on the original map sheet boundaries, this adjustment averaged less than 20 meters and in no case was more than 100 meters. The whole coverage was CLEANed to a tolerance of 20 meters, which resulted in few, if any, effect on small offshore islands. The coverage also was checked to ensure that it represented current U.S. counties or county equivalents.

The coverage in Version 1.0 stopped at the coastline. There was no attempt to depict offshore areas. This created some problems when the coverage was used to assign county codes to sampling stations located near the coast. To help in this matter, Version 2.0 includes offshore extensions of the county polygons. The (water) boundaries of many of these polygons are arbitrary.

The Canadian Great Lakes features are another new addition to Version 2. They were added to improve the utility of the coverage for visual displays Although the Canadian Great Lakes are logically represented by a single polygon, practical considerations -- the inability of some software to plo polygons with a large number of vertices -- made it necessary to separate them into four polygons. The dividing lines are located in narrow channel to minimize interference with plotting patterns. Canadian islands within the Great Lakes also were included.

All ticks were relocated to places that are easily visible on maps of the United States, to help in registering maps that may not otherwise have adequate registration information.

To expedite accessing parts o

ObjectiveSodium-glucose cotransporter-2 (SGLT2) inhibitors showed time-varying effects in heart failure and reduced ejection fraction (HFrEF), but corresponding cost-effectiveness in different timeframes remained poorly understood. This study estimated the time-varying cost-effectiveness of SGLT2 inhibitors in HFrEF from the perspective of the Chinese healthcare system.MethodsBased on real-world individual patient data, a 2-year microsimulation model was constructed to evaluate the cost-effectiveness of adding SGLT2 inhibitors to standard therapy compared with standard therapy alone among patients with HFrEF. A published prediction model informed transition probabilities for all-cause death and hospitalization for heart failure. The time-varying effects of SGLT2 inhibitors, medical costs, and utility values were derived from the published literature. Scenario analyses in different timeframes were conducted to assess the trend of cost-effectiveness over time.ResultsCompared with standard therapy alone, SGLT2 inhibitors plus standard therapy were found cost-effective at a willingness‐to‐pay (WTP) threshold of $12,741 per quality‐adjusted life year (QALY) gained in 2 years. The incremental cost-effectiveness ratio (ICER) decreased from $12,346.07/QALY at 0.5 years to $9,355.66/QALY at 2 years. One-direction sensitivity analysis demonstrated that the cost-effectiveness of SGLT2 inhibitors was most sensitive to the cost of SGLT2 inhibitors, the cost of hospitalization for heart failure, the cost of standard therapy for heart failure, and the baseline risks of all-cause death and hospitalization for heart failure. Probabilistic sensitivity analysis proved the robustness of the results.ConclusionAdding SGLT2 inhibitors to standard therapy was found to be cost-effective in Chinese patients with HFrEF. Longer treatment appeared to be more economically favorable, but further explorations are warranted.

BackgroundThe escalating global incidence of polycystic ovary syndrome (PCOS) necessitates a thorough examination of its epidemiological trends and sociodemographic correlations. Our study bridges this gap by analyzing the global impact of PCOS among women of childbearing age (WCBA) from 1990 to 2021, aiming to inform strategies for enhanced prevention and management.MethodsWe extracted data from the Global Burden of Disease Study 2021 (GBD 2021), focusing on the burden of PCOS among women aged 15–49 years. We assessed incidence, prevalence, and disability-adjusted life years (DALYs) trends using the estimated annual percentage change (EAPC) and explored the link between PCOS burden and sociodemographic index (SDI).ResultsIn 2021, the prevalence cases of PCOS worldwide were 65.77 million, the incidence cases were 1,175.07 thousand, and the DALYs cases were 576.05 thousand. Compared with 1990, the percentage changes were 89, 49, and 87%, respectively. The EAPCs indicated upward trends in prevalence and DALYs rates, with a less pronounced increase in incidence rates. The middle SDI region had the highest PCOS case numbers, and the 45–49 age group in this region experienced the most significant burden increase. A strong positive correlation existed between PCOS prevalent rates and SDI (r = 0.582, p