Related Experiment Video
Updated: May 8, 2026
11:21
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Estimating modern US social contact patterns, the ENGAGED study: a study protocol for a staggered longitudinal cohort
Machi Shiiba1, Marina Bruck2, Musu M Sesay3
1Epidemiology, Emory University, Atlanta, Georgia, USA machi.shiiba@emory.edu.
BMJ Open
|May 6, 2026
Summary
This study collected social contact data in Atlanta to improve disease transmission models. Findings will help forecast disease trends and evaluate public health interventions.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Accurate social contact data is crucial for disease transmission modeling.
- Limited population-based contact data exists in the USA, hindering accurate infectious disease forecasting.
- This study addresses the data gap by characterizing social contact patterns.
Purpose of the Study:
- To characterize social contact patterns in metropolitan Atlanta.
- To examine variations in contact patterns by participant demographics, seasonality, and symptoms.
- To provide data for enhancing infectious disease transmission models.
Main Methods:
- A staggered longitudinal cohort study was conducted over 6 months in Atlanta, USA.
- Participants reported individual and group contacts monthly.
- Data analysis includes generating age-specific contact matrices and comparing contact rates by symptoms.
Main Results:
- Contact patterns were characterized based on participant demographics, seasonality, and symptoms.
- Age-specific contact matrices were generated.
- Analysis compared contact rates across different symptom statuses.
Conclusions:
- The study provides essential social contact data for the USA.
- Findings will improve the accuracy of infectious disease transmission models.
- Publicly available data and code will support the wider modeling community.
Related Concept Videos
02:20Longitudinal Research
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...
01:50Cross-Sectional Research
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
01:26Longitudinal 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...
01:11Observational Studies
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
01:08Data Collection by Observations
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...
01:20Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.