2000年から2015年までのインドにおける特定原因の新生児および1-59ヶ月の幼児死亡率の変化:全国的に代表的な調査
Lancet (London, England)
|September 24, 2017
まとめ
インドの幼児死亡率は2000年から2015年の間に著しく低下し,近年では急速に増加しています. しかし 低出生体重の死亡率の上昇は 持続可能な開発目標を達成するために 集中的な注意が必要です
科学分野:
- 公衆衛生
- 流行病学
- 人口統計
背景:
- 子どもの死亡率の記録は インドの減少戦略にとって極めて重要です
- この研究では,2000年から2015年にかけての特定原因の新生児および1-59ヶ月の死亡率の変化を分析した.
研究 の 目的:
- インドの特定原因による子供の死亡率における人口統計と地理的変化を報告する.
- 幼児死亡率の減少に向けた 将来の進歩を導くために
主な方法:
- 2001年から2013年の100万人死亡調査 (MDS) のデータを活用した.
- MDSのデータと国連の出生と死亡の推定値の組み合わせ (2000年~2015年)
- 新生児と1~59ヶ月の死亡率の年間パーセントの変化を計算した.
主要な成果:
- 感染と出生窒息/トラウマによる新生児死亡率は著しく減少した.
- 肺炎と下痢による死亡率は1~59ヶ月の子どもでも大幅に減少した.
- 特に貧しい農村部では,早産/低出生体重による死亡率が増加しました.
結論:
- インドは1-59ヶ月の死亡率の減少を維持し,新生児死亡率の減少を加速する必要があります.
- 感染の原因に対する継続的な進歩は可能である.
- 低出生体重に重点を置くことは 幼児死亡率のさらなる減少に不可欠です
さらに関連する動画
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
3.0K
04:18Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
Published on: October 10, 2025
586
関連する概念動画
Methods Of Healthcare Delivery System
4.2K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
4.2K
Life Tables
568
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
568
Applications of Life Tables
387
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
387
Prevalence and Incidence
2.0K
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
2.0K
Actuarial Approach
331
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
331
Introduction To Survival Analysis
866
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
866
