Related Experiment Video

Updated: May 5, 2026

An In Vitro Model for Measuring Immune Responses to Malaria in the Context of HIV Co-infection
08:14

An In Vitro Model for Measuring Immune Responses to Malaria in the Context of HIV Co-infection

Published on: October 6, 2015

9.5K

Income transfers and vaccination: impact on COVID-19 mortality and hospitalizations in Brazil. A longitudinal

Mônica Silva Monteiro de Castro1, Anelise Andrade de Souza2, Guilherme Lopes de Oliveira3

  • 1René Rachou Institute, Oswaldo Cruz Foundation (IRR - Fiocruz Minas), Belo Horizonte, Minas Gerais, Brazil.

Gaceta Sanitaria
|March 3, 2026
PubMed
Abstract

Keywords:
COVID-19Income distribution programPrograma de transferencia de ingresosVaccinationVacunación

More Related Videos

A Luciferase-fluorescent Reporter Influenza Virus for Live Imaging and Quantification of Viral Infection05:21

A Luciferase-fluorescent Reporter Influenza Virus for Live Imaging and Quantification of Viral Infection

Published on: August 14, 2019

28.9K
COVID-19 Seroprevalence Test for IgG Antibody Levels Among Healthy Donors Across Different Pandemic Phases in Jeddah04:43

COVID-19 Seroprevalence Test for IgG Antibody Levels Among Healthy Donors Across Different Pandemic Phases in Jeddah

Published on: June 24, 2025

612

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
44.1K
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
5.4K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
2.2K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:  
1.7K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:
1.3K
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
706