Related Experiment Video
Updated: Oct 25, 2025
07:13
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
4.4K
Misalignment between COVID-19 hotspots and clinical trial sites
Lauren Franks1, Hao Liu2, Mitchell S V Elkind3,4,5
1Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
Summary
Clinical trial enrollment for coronavirus disease 2019 (COVID-19) treatments is slow. Geographic misalignment between COVID-19 cases and trial sites has worsened, hindering research access and recruitment.
Area of Science:
- Public Health
- Clinical Research
- Epidemiology
Background:
- Numerous interventional clinical trials were initiated in the U.S. to find effective coronavirus disease 2019 (COVID-19) treatments.
- A significant challenge has been the slow enrollment in these trials, delaying critical research into COVID-19 and its therapeutic options.
Purpose of the Study:
- To develop and apply novel metrics for assessing the geographic alignment between COVID-19 hotspots and clinical trial sites.
- To evaluate changes in trial access over time throughout the evolving pandemic.
Main Methods:
- Utilized temporal COVID-19 case data from USAFacts.org and clinical trial data from ClinicalTrials.gov.
- Categorized U.S. counties based on COVID-19 case counts and the number of interventional clinical trials located within them.
Main Results:
- Analysis revealed a worsening trend in the alignment between COVID-19 cases and clinical trial sites as the pandemic progressed.
- Geographic access to interventional trials has diminished over time relative to disease prevalence.
Conclusions:
- The study highlights a critical misalignment between where COVID-19 cases are concentrated and where treatment trials are located.
- Recommends developing and implementing new strategies and metrics to better align trial sites with disease hotspots.
- Further research is needed to understand how this misalignment impacts clinical trial recruitment and overall research progress.
More Related Videos
09:31Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites
Published on: March 22, 2016
17.9K
08:23Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions
Published on: September 25, 2018
13.6K
Related Concept Videos
01:16Clinical Trials
9.8K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
9.8K
01:11Clinical Trials: Overview
3.9K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.9K
01:29Bias in Epidemiological Studies
849
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:
849
01:27Confounding in Epidemiological Studies
322
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
322
01:05Single Nucleotide Polymorphisms-SNPs
17.0K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.0K
01:26Principles of Disease Surveillance
270
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
270