Related Experiment Video
Updated: Jan 7, 2026
09:26
Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
1.5K
COVID-19 and Social Vulnerabilities in Virginia ZIP Code Tabulation Areas
Parthay H Patel1, Nikhil Amin2, Bhaumik Patel3
1School of Business, Virginia Commonwealth University, Richmond, USA.
Cureus
|December 25, 2025
Summary
COVID-19 prevalence in Virginia was linked to area-level racial composition, income, and crowding. These demographic factors, reflecting structural inequalities, are key indicators of social vulnerability and can inform public health decisions.
Area of Science:
- Public Health
- Epidemiology
- Social Determinants of Health
Background:
- Retrospective review of demographic determinants of COVID-19 prevalence in Virginia.
- Data collected from May 15, 2020, to August 6, 2020, during the state's first COVID-19 peak.
- Utilized data from the Virginia Department of Health (VDH).
Purpose of the Study:
- To examine associations between COVID-19 cases and socioeconomic variables.
- To understand the relationship between various socioeconomic factors and disease prevalence.
- To identify demographic determinants influencing COVID-19 spread in Virginia.
Main Methods:
- Analysis of COVID-19 cases and socioeconomic data by Virginia ZIP Code Tabulation Areas (VZCTAs) within Virginia's Health Planning Regions (VHPRs).
- Employed multivariate regression analysis and Pearson correlations.
- Examined area-level ethnic and racial composition, median household income, and household crowding.
Main Results:
- COVID-19 prevalence was highest in the Northern region and lowest in the southwestern region (p < 0.05).
- Area-level racial/ethnic composition (Black/Hispanic), median household income, and household crowding were significant predictors of prevalence.
- Multivariate analyses showed strong correlations (overall R = 0.612, Northern VHPR R = 0.903).
Conclusions:
- Area-level racial and ethnic composition serves as a proxy for structural inequalities and social vulnerability to COVID-19.
- Findings underscore the importance of social vulnerability in public health planning within smaller population units.
- Results can guide critical decisions on vaccine distribution and health policies based on social vulnerability.
Related Concept Videos
01:29Contingency Table
3.7K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
3.7K
01:21Impact of Social Context on Individuals
253
Social psychology examines how the real or imagined presence of others influences individuals' thoughts, feelings, and behaviors. A key concept in this field is the role of social context in shaping behavior. The same individual may act differently depending on the social setting, due to the varying expectations and norms associated with each environment. This context-dependent behavior illustrates the influence of social roles, which prescribe appropriate conduct in specific situations.Social...
253
01:05Single Nucleotide Polymorphisms-SNPs
17.8K
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,...
17.8K
01:29Bias in Epidemiological Studies
1.2K
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:
1.2K
01:25Statistical Methods for Analyzing Epidemiological Data
864
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:
864
01:26Sexually Transmitted Infections
848
Sexually transmitted infections (STIs) are diseases transmitted primarily through unsafe sexual interactions. Bacteria, viruses, or parasites cause them and can result in severe health complications if untreated.ChlamydiaThe bacterium Chlamydia trachomatis is responsible for the disease Chlamydia, the most common STI in the United States. This peculiar pathogen requires human cells to reproduce, residing intracellularly. The initial infection often goes unnoticed because it typically does not...
848