Related Experiment Video
Updated: Jul 23, 2025
06:48
Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
4.6K
Dataset on infant mortality rates in Brazil
Gabriel Souto1,2, Matheus Miloski3,4, Carlos Leonardo Souza Cardoso3,5
1Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil. gabriel.souto@icict.fiocruz.br.
BMC Research Notes
|July 17, 2023
Summary
Infant and fetal mortality surveillance is crucial for government strategies. This study analyzes Brazilian mortality rates from 2010-2020 to inform prevention and improve death records.
Area of Science:
- Public Health
- Epidemiology
- Demography
Background:
- Infant and fetal mortality surveillance is essential for public health policy.
- Understanding mortality trends informs government strategies and prevention measures.
Purpose of the Study:
- To analyze fetal, neonatal, and perinatal mortality rates in Brazilian municipalities.
- To provide data for improved mortality surveillance and prevention strategies.
Main Methods:
- Utilized a dataset of fetal, neonatal, early neonatal, late neonatal, and perinatal mortality rates.
- Data aggregated for Brazilian municipalities from 2010 to 2020, by epidemiological week.
Main Results:
- The study provides a comprehensive overview of mortality rates across Brazilian municipalities.
- Identified trends and patterns in infant and fetal mortality over a decade.
Conclusions:
- Robust surveillance of infant and fetal deaths is vital for effective public health interventions.
- Data-driven insights are necessary to reduce mortality rates and enhance record-keeping.
More Related Videos
Related Concept Videos
01:22Applications of Life Tables
93
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...
93
01:25Statistical Methods for Analyzing Epidemiological Data
420
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
420
01:22Life Tables
131
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,...
131
01:29Bias in Epidemiological Studies
366
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:
366
01:52Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
01:12Relative Risk
225
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
225