BackgroundMortality in children under five years has been widely studied, whereas mortality at 5–9 years has received little attention. Using unique data from national registers in three Nordic countries, we aimed to characterize mortality directionality in children aged 0 to 9 years.Methods and FindingsThe cohort study included all children born in Denmark from 1973 to 2008 (n = 2,433,758), Sweden from 1973 to 2006 (n = 3,400,212), and a random sample of 89.3% of children born in Finland from 1987 to 2007 (n = 1,272,083). Children were followed from 0 to 9 years, and cumulative mortality and mortality rates were compared by age, gender, cause of death, and calendar periods. Among the 7,105,962 children, there were 48,299 deaths during study period. From 1981–1985 to 2001–2005, all-cause mortality rates were reduced by between 34% and 62% at different ages. Overall mortality rate ratio between boys and girls decreased from 1.25 to 1.21 with the most prominent reduction in children aged 5–9 years (from 1.59 to 1.19). Neoplasms, diseases of the nervous system and transport accidents were the most frequent cause of death after the first year of life. These three leading causes of death declined by 42% (from 6.2 to 3.6 per 100,000 person years), 43% (from 3.7 to 2.1) and 62% (from 3.9 to 1.5) in boys, and 25% (from 4.1 to 3.1 per 100000 person years), 42% (from 3.4 to 1.9) and 63% (from 3.0 to 1.1) in girls, respectively. Mortality from neoplasms was the highest in each age except infants when comparing cause-specific mortality, and half of deaths from diseases of the nervous system occurred in infancy. Mortality rate due to transport accidents increased with age and was highest in boys aged 5–9 years.ConclusionsMortality rate in children aged 0–9 years has been decreasing with diminished difference between genders over the past decades. Our results suggest the importance of further research on mortality by causes of neoplasms, and causes of transport accidents—especially in children aged 5–9 years.

Rate: Homicide deaths per 100,000 persons aged 20-24

Definition: Deaths where homicide is indicated as the underlying cause of death. Homicide is defined as death resulting from the intentional use of force or power, threatened or actual, against another person, group, or community. ICD-10 Codes: X85-Y09, Y87.1 (homicide)

Data Source:

1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Title: Drug Overdose Deaths, Ages 15 to 34, Small Areas by Year, 1999 to 2011 - OD1534SAYR

Summary: Number of deaths and rates of deaths per 100,000 for persons age 15 to 34 due to Drug Overdose over the 13 years period; with person year and mean annual populations, for each year, for the total populations in each of 109 NM Small Area geographies. Includes trends in the death rates comparing 1999-2003 to 2007-2011 based on 68.2% confidence intervals (+/- 1 standard deviation).

Prepared by: T Scharmen, thomas.scharmen@state,nm.us

Includes ICD-10: X40-X44.9, X60-X64.9, X85-X85.9, Y10-Y14.9

Intentional and UN-intentional drug overdose deaths

ICD-10 list: http://apps.who.int/classifications/icd10/browse/2010/en#/X40

Data Sources: New Mexico Death Certificate Database, Office of Vital Records and Statistics, New Mexico Department of Health; Population Estimates: University of New Mexico, Geospatial and Population Studies (GPS) Program, http://bber.unm.edu/bber_research_demPop.html. Retrieved Wed, 22 August 2014 from New Mexico Department of Health, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.nm.us

See Also NM Substance Abuse Epidemiology Report

https://ibis.health.state.nm.us/phom/Introduction.html

Shapefile:

Feature: http://nmcdc.maps.arcgis.com/home/item.html?id=ac726182c7574e64a3f5c68ecd814b58

Master File:

NM Data Variable Definition

999 SANo NM Small Area Number

NEW MEXICO SAName NM Small Area Name

67 D1999 Number of Drug Overdose Deaths, 1999

72 D2000 Number of Drug Overdose Deaths, 2000

58 D2001 Number of Drug Overdose Deaths, 2001

72 D2002 Number of Drug Overdose Deaths, 2002

95 D2003 Number of Drug Overdose Deaths, 2003

364 D9903 Number of Drug Overdose Deaths, 1999-2003

73 D2004 Number of Drug Overdose Deaths, 2004

85 D2005 Number of Drug Overdose Deaths, 2005

110 D2006 Number of Drug Overdose Deaths, 2006

121 D2007 Number of Drug Overdose Deaths, 2007

160 D2008 Number of Drug Overdose Deaths, 2008

134 D2009 Number of Drug Overdose Deaths, 2009

155 D2010 Number of Drug Overdose Deaths, 2010

152 D2011 Number of Drug Overdose Deaths, 2011

722 D0711 Number of Drug Overdose Deaths, 2007-2011

1484 D13YR Number of Drug Overdose Deaths, 1999-2011

500503 P1999 Population, Person-Years, 1999

503133 P2000 Population, Person-Years, 2000

508743 P2001 Population, Person-Years, 2001

514385 P2002 Population, Person-Years, 2002

520015 P2003 Population, Person-Years, 2003

2546779 P9903 Population, Person-Years, 1999-2003

509355.8 MAP9903 Mean Annual Population, Person-Years, 1999-2003

525660 P2004 Population, Person-Years, 2004

531294 P2005 Population, Person-Years, 2005

536930 P2006 Population, Person-Years, 2006

542573 P2007 Population, Person-Years, 2007

548210 P2008 Population, Person-Years, 2008

553846 P2009 Population, Person-Years, 2009

560941 P2010 Population, Person-Years, 2010

560779 P2011 Population, Person-Years, 2011

2766347 P0711 Population, Person-Years, 2007-2011

553269.4 MAP0711 Mean Annual Population, Person-Years, 2007-2011

6907010 P13YR Population, Person-Years, 1999-2011

531308.4615 MAP13YR Mean Annual Population, Person-Years, 1999-2011

13.4 R1999 Rate per 100,000 of Drug Overdose Deaths, 1999

14.3 R2000 Rate per 100,000 of Drug Overdose Deaths, 2000

11.4 R2001 Rate per 100,000 of Drug Overdose Deaths, 2001

14 R2002 Rate per 100,000 of Drug Overdose Deaths, 2002

18.3 R2003 Rate per 100,000 of Drug Overdose Deaths, 2003

14.3 R9903 Rate per 100,000 of Drug Overdose Deaths, 1999-2003

12.8 CIL9903 Rate per 100,000 of Drug Overdose Deaths, 1999-2003, 95% Confidence Interval Lower Limit

15.8 CIU9903 Rate per 100,000 of Drug Overdose Deaths, 1999-2003, 95% Confidence Interval Upper Limit

13.9 R2004 Rate per 100,000 of Drug Overdose Deaths, 2004

16 R2005 Rate per 100,000 of Drug Overdose Deaths, 2005

20.5 R2006 Rate per 100,000 of Drug Overdose Deaths, 2006

22.3 R2007 Rate per 100,000 of Drug Overdose Deaths, 2007

29.2 R2008 Rate per 100,000 of Drug Overdose Deaths, 2008

24.2 R2009 Rate per 100,000 of Drug Overdose Deaths, 2009

27.6 R2010 Rate per 100,000 of Drug Overdose Deaths, 2010

27.1 R2011 Rate per 100,000 of Drug Overdose Deaths, 2011

26.1 R0711 Rate per 100,000 of Drug Overdose Deaths, 2007-2011

24.2 CIL0711 Rate per 100,000 of Drug Overdose Deaths, 2007-2011, 95% Confidence Interval Lower Limit

28 CIU0711 Rate per 100,000 of Drug Overdose Deaths, 2007-2011, 95% Confidence Interval Upper Limit

21.5 R13YR Rate per 100,000 of Drug Overdose Deaths, 1999-2011

11.8 TrendDiff Difference in Drug Overdose Death Rate, 2007-2011 minus 1999-2003

INCREASE TrendSig Trend in Drug Overdose Death Rate Significance, 1999-2003 to.2007-2011

Note: MRR = Mortality Rate Ratio; CI = confidence interval.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics (NCHS), 2004–2009. All models adjusted for individual age, sex, year of death, and Census region; area characteristics at the designated market area (DMA) level (urbanicity, % Black, % high school education among Blacks, Black poverty rate) from the American Community Survey, 2004–2009; and corresponding DMA-level White cause-specific mortality rates per 100,000 person-years from NCHS.Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates.

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Context

India - Annual Health Survey(AHS) 2012-13:

The survey was conducted in Empowered Action Group (EAG) states Uttarakhand, Rajasthan, Uttar Pradesh, Bihar, Jharkhand, Odisha, Chhattisgarh & Madhya Pradesh and Assam. These nine states, which account for about 48 percent of the total population, 59 percent of Births, 70 percent of Infant Deaths, 75 percent of Under 5 Deaths and 62 percent of Maternal Deaths in the country, are the high focus States in view of their relatively higher fertility and mortality.

A representative sample of about 21 million population and 4.32 million households were covered 20k+ sample units which is spread across rural and urban area of these 9 states.

The objective of the AHS is to yield a comprehensive, representative and reliable dataset on core vital indicators including composite ones like Infant Mortality Rate, Maternal Mortality Ratio and Total Fertility Rate along with their co-variates (process and outcome indicators) at the district level and map the changes therein on an annual basis. These benchmarks would help in better and holistic understanding and timely monitoring of various determinants on well-being and health of population particularly Reproductive and Child Health. Source

Content

This dataset contains the data about the below 26 key indicators.

1. AA. Sample Particulars

   1. Sample Units
   2. Households
   3. Population
   4. Ever Married Women (aged 15-49 years)
   5. Currently Married Women (aged 15-49 years)
   6. Children 12-23 months

2. BB. Household Characteristics

   1. Average Household Size
      • SC
      • ST
      • All
   2. Population below age 15 years (%)
   3. Dependency Ratio
   4. Currently Married Illiterate Women aged 15-49 years (%)

3. CC. Sex Ratio

   1. Sex Ratio at Birth
   2. Sex Ratio (0- 4 years)
   3. Sex Ratio (All ages)

4. DD. Effective Literacy Rate

5. EE. Marriage

   1. Marriages among Females below legal age (18 years) (%)
   2. Marriages among Males below legal age (21 years) (%)
   3. Currently Married Women aged 20-24 years married before legal age (18 years) (%)
   4. Currently Married Men aged 25-29 years married before legal age (21 years) (%)
   5. Mean age at Marriage# - Male
   6. Mean age at Marriage# - Female

6. FF. Schooling Status

   1. Children currently attending school (Age 6-17 years) (%)
   2. Children attended before / Drop out (Age 6-17 years) (%)

7. GG. Work Status

   1. Children aged 5-14 years engaged in work (%)
   2. Work Participation Rate (15 years and above)

8. HH. Disability

   1. Prevalence of any type of Disability (Per 100,000 Population)

9. II. Injury

   1. Number of Injured Persons by type of Treatment received (Per 100,000 Population)
      • Severe
      • Major
      • Minor

10. JJ. Acute Illness

    1. Persons suffering from Acute Illness (Per 100,000 Population)
       • Diarrhoea/Dysentery
       • Acute Respiratory Infection (ARI)
       • Fever (All Types)
       • Any type of Acute Illness
    2. Persons suffering from Acute Illness and taking treatment from Any Source (%)
    3. Persons suffering from Acute Illness and taking treatment from Government Source (%)

11. KK. Chronic Illness

    1. Having any kind of Symptoms of Chronic Illness (Per 100,000 Population)
    2. Having any kind of Symptoms of Chronic Illness and sought Medical Care (%)
    3. Having diagnosed for Chronic Illness (Per 100,000 Population)
       • Diabetes
       • Hypertension
       • Tuberculosis (TB)
       • Asthma / Chronic Respiratory Disease
       • Arthritis
       • Any kind of Chronic Illness
    4. Having diagnosed for any kind of Chronic Illness and getting Regular Treatment (%)
    5. Having diagnosed for any kind of Chronic Illness and getting Regular Treatment from Government Source (%)

12. LL. Fertility

    1. Crude Birth Rate (CBR)
    2. Natural Growth Rate
    3. Total Fertility Rate
    4. Women aged 20-24 reporting birth of order 2 & above (%)
    5. Women reporting birth of order 3 & above (%)
    6. Women with two children wanting no more children (%)
    7. Women aged 15-19 years who were already mothers or pregnant at the time of survey (%)
    8. Median age at first live birth of Women aged 15-49 years
    9. Median age at first live birth of Women aged 25-49 years
    10. Live Births taking place after an interval of 36 months (%)
    11. Mean number of children...

Rate: Deaths Per 100,000 15-19 year old males of Population

Definition: Deaths where homicide is indicated as the underlying cause of death. Homicide is defined as death resulting from the intentional use of force or power, threatened or actual, against another person, group, or community. ICD-10 Codes: X85-Y09, Y87.1 (homicide)

Data Sources:

1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

ObjectivesWe aimed to elucidate trends in the crude mortality rate (CMR), age-standardized mortality rate (ASMR), and burden of mental disorders (MD) in China.MethodsA longitudinal observational study was performed using the data of MD deaths in the National Disease Surveillance System (DSPs) during 2009–2019. The mortality rates were normalized using the Segis global population. Trends in the mortality of MDs stratified by age, gender, region, and residency, respectively. The burden of MD was evaluated using age-standardized person years of life loss per 100,000 people (SPYLLs) and average years of life lost (AYLL).ResultA total of 18,178 MD deaths occurred during 2009–2019, accounting for 0.13% of total deaths, and 68.3% of MD deaths occurred in rural areas. The CMR of MD in China was 0.75/100,00 persons (ASMR: 0.62/100,000 persons). The ASMR of all MDs decreased mainly due to the decrease in ASMR in rural residents. Schizophrenia and alcohol use disorder (AUD) were the leading causes of death in MD patients. The ASMR of schizophrenia and AUD was higher in rural residents than in urban residents. The ASMR of MD was highest in the 40–64 age group. As the leading causes of MD burden, the SPYLL and AYLL of schizophrenia were 7.76 person-years and 22.30 years, respectively.ConclusionAlthough the ASMR of all MDs decreased during 2009–2019, schizophrenia and AUD were still the most important causes of death for MDs. Targeted efforts focusing on men, rural residents, and the 40–64 years old population should be strengthened to decrease MD-related premature deaths.

Suicide rates per 100,000 person years (October 1, 2007- December 31, 2018).

IntroductionIn developing countries, mortality and disability from non-communicable diseases (NCDs) is rising considerably. The effect of social determinants of NCDs-attributed mortality, from the context of developing countries, is poorly understood. This study examines the burden and socio-economic determinants of adult mortality attributed to NCDs in eastern Tigray, Ethiopia.MethodsWe followed 45,982 adults implementing a community based dynamic cohort design recording mortality events from September 2009 to April 2015. A physician review based Verbal autopsy was used to identify the most probable causes of death. Multivariable Cox proportional hazards regression was performed to identify social determinants of NCD mortality.ResultsAcross the 193,758.7 person-years, we recorded 1,091 adult deaths. Compared to communicable diseases, NCDs accounted for a slightly higher proportion of adult deaths; 33% vs 34.5% respectively. The incidence density rate (IDR) of NCD attributed mortality was 194.1 deaths (IDR = 194.1; 95% CI = 175.4, 214.7) per 100,000 person-years. One hundred fifty-seven (41.8%), 68 (18.1%) and 34 (9%) of the 376 NCD deaths were due to cardiovascular disease, cancer and renal failure, respectively. In the multivariable analysis, age per 5-year increase (HR = 1.35; 95% CI: 1.30, 1.41), and extended family and non-family household members (HR = 2.86; 95% CI: 2.05, 3.98) compared to household heads were associated with a significantly increased hazard of NCD mortality. Although the difference was not statistically significant, compared to poor adults, those who were wealthy had a 15% (HR = 0.85; 95% CI: 0.65, 1.11) lower hazard of mortality from NCDs. On the other hand, literate adults (HR = 0.35; 95% CI: 0.13, 0.9) had a significantly decreased hazard of NCD attributed mortality compared to those adults who were unable to read and write. The effect of literacy was modified by age and its effect reduced by 18% for every 5-year increase of age among literate adults.ConclusionIn summary, the study indicates that double mortality burden from both NCDs and communicable diseases was evident in northern rural Ethiopia. Public health intervention measures that prioritise disadvantaged NCD patients such as those who are unable to read and write, the elders, the extended family and non-family household co-residents could significantly reduce NCD mortality among the adult population.

BackgroundAppendiceal tumors are considered to be a relatively rare tumor of the gastrointestinal tract and the prognosis is unclear. This study comprehensively investigated trends in the epidemiology and survival of appendiceal tumors in the United States over the past approximately 20 years.MethodsPatients with pathologically confirmed appendiceal tumors from 2000 to 2017 were selected from the Surveillance, Epidemiology and End Results (SEER) database. Age-adjusted incidence rates were calculated by SEER*Stat 8.4.0. The Kaplan-Meier method was used to analyze survival and prognostic factors were investigated by a multivariate Cox proportional risk model.ResultsUltimately, 13,546 patients with appendiceal tumors between 2000 and 2017 were included. The annual incidence of colonic adenocarcinoma and mucinous adenocarcinoma remained relatively stable. Interestingly, the annual incidence of appendiceal neuroendocrine tumors (aNETs) increased significantly, from 0.03 to 0.90 per 100,000 person-years, with the most dramatic increase in the number of patients with localized disease. Patients with aNETs showed a significant improvement in survival between 2009–2017, compared to the period 2000–2008. Moreover, this improvement in survival over time was seen at all stages (localized, regional, distant) of aNETs. However, this improved survival over time was not seen in colonic and mucinous adenocarcinoma.ConclusionsThe incidence of appendiceal neoplasms has increased significantly over the past nearly two decades, which is mainly due to the increased incidence and significant migration to earlier stages in aNETs. We must note that despite the increased incidence of aNETs, survival rates have improved at different disease stages.

Number of patients with STD and rate per 100,000 person-years in HIRA, South Korea from 2009 to 2014.

YLLs of Alzheimer 's disease and other forms of dementia (person-year per 100,000), 2009–2015.

Unshaded and shaded rows represent provinces and cities in administrative districts of South Korea, respectively.

The table displays the source data and describes all steps that were taken to estimate the cost of a single MDA round per 100,000 eligibles.n.a. = not applicable.aThe term base year refers to the year in which cost were originally measured (1996 for India, 2002 for West Africa).bCalculated from 1), 3) and 4), assuming that drugs (50 mg DEC tablets) were purchased for all eligible persons.cFor India: cost of DEC (50-mg tablets; 5.2 tablets p.p. on average; 0.026 US$ p.p. on average) were subtracted.dCorrection for inflation, using the annual deflators as published by the World Bank [24], i.e. the rate of price change in the economy as a whole. The amount under 6) was first converted back to local currency using the base year conversion rate. Then we applied the correction for inflation between the base year and 2009. The new amount was reconverted into US dollars using the 2009 conversion rate. Average annual inflation in India was about 5% between 1996 and 2009. The average annual inflation between 2002 and 2009 in Burkina Faso was 9%.eWe assume that sensitization efforts in India are intensified to achieve higher coverage, as studied elsewhere [25], [26]. Associated extra costs (for personnel and supplies) would be 0.009 US $ per person in 2002, or 0.015 US$ per eligible if adjusted to 2009 values.fVolunteer remuneration has changed. In 2002, volunteers were paid for 2 days of training only, not distribution. By 2010 Burkina volunteers were remunerated for about 2.5 days training and 7 days distribution; the daily rate remained the same. [sources: [11] and personal communications from program directors in Burkina Faso in 2011].gIn India, DEC has to be purchased by the government, at 0.00924 US% p.p. on average (for 100 mg tablets, 2.75 tablets p.p. on average).hDonated drug: albendazole (0.022 US$ p.p.).iDonated drugs: albendazole (0.022 US$ p.p.) and ivermectin (4.2 US$ p.p. on average).