COVID-19 Surveillance Data: A Primer for Epidemiology and Data Science.

Am J Public Health

Daniel Tarantola is with the Institute on Inequalities in Global Health, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles. Nabarun Dasgupta is with the Gillings School of Global Public Health, University of North Carolina at Chapel Hill. Both authors are AJPH associate editors.

Published: April 2021

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958032PMC
http://dx.doi.org/10.2105/AJPH.2020.306088DOI Listing

Publication Analysis

Top Keywords

covid-19 surveillance
4
surveillance data
4
data primer
4
primer epidemiology
4
epidemiology data
4
data science
4
data
2
covid-19
1
primer
1
epidemiology
1

Similar Publications

The Association Between Dietary Supplement Use and COVID-19 Symptoms.

J Diet Suppl

January 2025

Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

The scientific evidence supporting recommendations for dietary supplement use to prevent or treat coronavirus disease 2019 (COVID‑19) is not well‑established. This cohort study investigates the relationship between dietary supplement usage and COVID‑19 symptoms among 27,181 adults tested for COVID‑19. Using data from surveys following COVID‑19 testing, conducted by the University of Arkansas for Medical Sciences, associations between dietary supplement usage, symptomatology, and COVID‑19 status were explored.

View Article and Find Full Text PDF

Unlabelled: Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been crucial in tracking disease spread and informing public health decisions. Wastewater-based epidemiology has helped to alleviate some of the strain of testing through broader, population-level surveillance, and has been applied widely on college campuses. However, questions remain about the impact of various sampling methods, target types, environmental factors, and infrastructure variables on SARS-CoV-2 detection.

View Article and Find Full Text PDF

Objectives: To determine the prevalence of self-reported delayed adverse events (DAEs), major AEs, and flares following COVID-19 vaccinations among patients with autoimmune rheumatic diseases (AIRDs) in Malaysia.

Methodology: An electronically validated survey from the COVID-19 vaccination in autoimmune diseases (COVAD) study group was distributed in July 2021 to patients with autoimmune diseases and healthy controls (HCs). The survey collected data on DAEs (any AE that persisted or occurred after 7 days of vaccination), any early or delayed major adverse events (MAEs), and flares following COVID-19 vaccination.

View Article and Find Full Text PDF

Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.

Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!