Related Experiment Video
Updated: Dec 17, 2025

09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
27.6K
Initial findings from a novel population-based child mortality surveillance approach: a descriptive study
Allan W Taylor1, Dianna M Blau1, Quique Bassat2
1Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
The Lancet. Global Health
|June 21, 2020
Summary
Minimally invasive tissue sampling (MITS) identified multiple causes of death in stillbirths and under-5 deaths in sub-Saharan Africa and South Asia. This granular data provides a more complete overview of mortality chains to inform prevention efforts.
Area of Science:
- Global Health
- Pediatric Mortality
- Pathogen Identification
Background:
- Sub-Saharan Africa and South Asia account for the majority of global under-5 deaths and stillbirths.
- Current methods for determining causes of death are often non-specific and focus on a single underlying cause.
- Accurate identification of mortality causes is crucial for effective prevention strategies.
Purpose of the Study:
- To provide detailed data on contributory causes of death in stillborn fetuses, neonates, and children under 5 years.
- To improve the accuracy of cause-of-death determination in high-mortality regions.
- To inform targeted child mortality prevention efforts.
Main Methods:
- The Child Health and Mortality Prevention Surveillance (CHAMPS) Network collected standardized, population-based data.
- Minimally invasive tissue sampling (MITS) was employed for post-mortem diagnostics.
- Expert panels characterized causal chains, including underlying, intermediate, and immediate causes of death.
Main Results:
- Minimally invasive tissue sampling (MITS) identified at least one cause of death in 98% of cases.
- Multiple conditions were identified in the causal chain for 63% of deaths.
- Common underlying causes included perinatal asphyxia, preterm birth complications, congenital infections, sepsis, congenital birth defects, lower respiratory infections, and HIV.
Conclusions:
- MITS enables detailed characterization of contributing conditions to mortality.
- Findings from CHAMPS strengthen global estimates of child mortality aetiologies.
- This approach provides a more complete overview of mortality chains, highlighting potential interventions.
Related Concept Videos
Actuarial Approach
235
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,...
235
Data Collection by Observations
14.3K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.3K
Longitudinal Research
13.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.0K
Principles of Disease Surveillance
391
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
391
Kaplan-Meier Approach
463
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
463
Bias in Epidemiological Studies
1.1K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.1K

