Related Experiment Video
Updated: Jun 3, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Tracking Survivors With Long COVID: Method, Implementation, and Results of an Observational Study
Horng-Shiuann Wu1, Dola Pathak1, Mandy Hall2
1College of Nursing, Michigan State University, East Lansing, Michigan, USA.
None:
While the coronavirus disease 2019 (COVID-19) pandemic has declined, many survivors continue to suffer debilitating symptoms, such as fatigue, pain, and foggy thoughts. Sustained COVID-19 symptoms, or Long COVID, challenge health care resources and economic recovery. This article describes the methodology, implementation, and results of an observational study investigating how time since diagnosis may affect lingering symptoms among the adult COVID-19 population. The descriptive distribution and overall symptoms experience by individuals' characteristics were examined. Random samples from two patient cohorts (n = 147 in 2020-2021 and n = 137 in 2021-2022) were recruited from a COVID-19 patient registry in mid-Michigan. Samples were drawn from a pool of patients ≥ 3 months following their COVID-19 diagnosis. Overall symptoms experience (number, severity, interference) was self-reported using a comprehensive symptom inventory. The findings showed that 66% of the 2020-2021 cohort and 47% of the 2021-2022 cohort reported ≥ 1 lingering symptom with an average of 11.2 (±3.0) and 8.9 (±3.3) months, respectively, after COVID-19 diagnosis. Females reported significantly more symptoms (p = 0.018), higher symptom severity (p = 0.008) and interference (p = 0.007) compared to males. Compared to patients admitted to emergency departments, outpatients reported significantly lower symptom severity (p = 0.020) and less symptom interference (p = 0.018). Our analyses showed that a moderate proportion (43%) of adults remained symptomatic nearly a year after COVID-19 infection and time since diagnosis did not affect symptom experience in either cohort. Female sex and admission setting are important factors to consider for managing and studying Long COVID.
More Related Videos
15:00Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
04:13Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
Related Concept Videos
Assumptions of Survival Analysis
Censoring Survival Data
Observational Studies
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...
Comparing the Survival Analysis of Two or More Groups
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Cancer Survival Analysis