Epidemiological Data Analysis Made Simple
Transform complex health data into actionable insights with AI-powered statistical analysis tools designed for epidemiologists and public health professionals.
Epidemiological data analysis is the backbone of public health decision-making. From tracking disease outbreaks to identifying risk factors, the ability to quickly analyze complex health datasets can mean the difference between containing an epidemic and watching it spread.
Yet traditional analysis methods often involve juggling multiple software tools, writing complex code, or waiting days for results. What if you could perform sophisticated statistical analysis with the simplicity of a spreadsheet, powered by AI that understands epidemiological concepts?
Essential Tools for Epidemiological Analysis
Everything you need to analyze health data, from basic descriptive statistics to advanced modeling.
Incidence & Prevalence Calculations
Automatically calculate disease rates, confidence intervals, and standardized ratios across populations and time periods.
Risk Factor Analysis
Identify significant associations using odds ratios, relative risks, and multivariate regression models with AI-guided interpretation.
Outbreak Detection
Monitor disease patterns with automated alerts for unusual clusters, seasonal trends, and epidemic thresholds.
Geographic Mapping
Visualize disease distribution across regions with interactive maps and spatial analysis tools.
Survival Analysis
Analyze time-to-event data with Kaplan-Meier curves, Cox regression, and hazard ratio calculations.
Cohort Studies
Track populations over time with automated follow-up calculations and loss-to-follow-up analysis.
Epidemiological Analysis in Action
See how health professionals use these tools to solve real public health challenges.
Infectious Disease Surveillance
A regional health department analyzed 50,000 case reports to identify transmission patterns during a respiratory illness outbreak. Using automated incidence calculations and geographic clustering analysis, they pinpointed high-risk areas within hours instead of weeks, enabling targeted interventions that reduced spread by 40%.
Chronic Disease Risk Assessment
Public health researchers studying diabetes prevalence across different demographics used multivariate analysis to identify key risk factors. The AI-powered analysis revealed unexpected interactions between socioeconomic factors and genetic predisposition, leading to more targeted prevention programs.
Vaccine Effectiveness Studies
A state health agency evaluated COVID-19 vaccine effectiveness using matched cohort analysis. By comparing outcomes between vaccinated and unvaccinated populations with similar characteristics, they generated real-time effectiveness estimates that informed policy decisions and public messaging.
Environmental Health Investigation
Epidemiologists investigating elevated cancer rates near an industrial site used spatial analysis and exposure modeling. The automated statistical tests identified significant clusters and calculated attributable risks, providing crucial evidence for regulatory action and community health interventions.
Healthcare-Associated Infections
A hospital infection control team monitored surgical site infections using statistical process control charts. The AI system automatically flagged unusual patterns and calculated risk-adjusted infection rates, helping reduce hospital-acquired infections by 35% through targeted quality improvement initiatives.
Mental Health Surveillance
Public health officials analyzed emergency department visits for mental health crises during the pandemic. Time series analysis revealed concerning trends in youth suicide attempts, enabling rapid deployment of targeted mental health resources and prevention programs.
From Data to Insights in Minutes
Our AI-powered approach makes complex epidemiological analysis accessible to any healthcare professional.
Import Your Health Data
Upload surveillance data, electronic health records, or survey results in any format. Our system automatically recognizes epidemiological variables like dates, demographics, exposures, and outcomes.
Describe Your Analysis
Simply tell the AI what you want to analyze: 'Calculate attack rates by age group' or 'Test for associations between exposure and disease.' No need to know specific statistical formulas or coding syntax.
Get Instant Results
Receive publication-ready tables, charts, and statistical summaries with proper confidence intervals, p-values, and effect sizes. All calculations follow epidemiological best practices and include appropriate caveats.
Generate Reports
Export professional reports with methodology descriptions, statistical assumptions, and interpretation guidance. Perfect for health department briefings, journal submissions, or grant applications.
Ready to Streamline Your Epidemiological Analysis?
Comprehensive Statistical Toolkit
Epidemiological data analysis requires specialized statistical methods that account for the unique characteristics of health data. Our platform provides access to the full range of methods used in modern epidemiology:
Descriptive Analysis
Analytical Methods
Advanced Techniques
All methods include appropriate statistical tests, effect size calculations, and interpretation guidance tailored for epidemiological contexts. The AI assistant helps you choose the right method based on your study design and data characteristics.
Works with All Your Health Data Sources
Seamlessly analyze data from any epidemiological source, with automatic formatting and validation.
Surveillance Systems
Import data from notifiable disease surveillance, syndromic surveillance, and laboratory reporting systems with automatic case classification.
Electronic Health Records
Analyze EHR extracts with built-in handling of ICD codes, medication data, and clinical measurements.
Survey Data
Process health surveys including BRFSS, NHANES, and custom questionnaires with proper weighting and variance estimation.
Laboratory Results
Integrate lab data with automatic test result interpretation, reference range validation, and quality control checks.
Vital Statistics
Analyze birth and death certificate data with standardized cause-of-death coding and demographic stratification.
Environmental Data
Combine health outcomes with environmental exposures, weather data, and geographic information systems.
Frequently Asked Questions
How does the AI ensure statistical accuracy in epidemiological analysis?
Our AI is trained on epidemiological methods and best practices from leading textbooks and peer-reviewed research. All calculations are validated against established statistical packages, and the system includes built-in checks for common errors like Simpson's paradox, selection bias, and confounding. Results include assumption testing and interpretation guidance specific to epidemiological contexts.
Can I analyze sensitive health data securely?
Yes, Sourcetable is designed with healthcare data security in mind. We support HIPAA-compliant data handling, end-to-end encryption, and secure cloud infrastructure. You can also work with de-identified data sets, and our system includes built-in privacy protection features like differential privacy for sensitive analyses.
What if I need to perform complex spatial analysis?
Our platform includes comprehensive spatial analysis tools for epidemiological applications. You can perform cluster detection using scan statistics, create disease maps with proper rate smoothing, analyze spatial autocorrelation, and integrate geographic data. The system handles coordinate systems, administrative boundaries, and population denominators automatically.
How do I handle missing data and loss to follow-up?
The platform provides multiple imputation methods appropriate for epidemiological data, including predictive mean matching and multiple imputation by chained equations. For cohort studies, we offer survival analysis techniques that properly handle censoring and loss to follow-up, with sensitivity analyses to assess the impact of missing data on your conclusions.
Can I generate publication-ready output?
Absolutely. All analyses produce tables and figures formatted according to epidemiological journal standards. You can export results in formats suitable for major journals, including proper statistical notation, confidence intervals, and p-values. The system also generates methodology descriptions and statistical assumption checks for your methods sections.
What about power calculations and sample size planning?
The platform includes comprehensive power analysis tools for all major epidemiological study designs. You can calculate required sample sizes for case-control studies, cohort studies, and cross-sectional surveys, with adjustments for clustering, matching, and multiple comparisons. Interactive power curves help you understand the trade-offs between sample size, effect size, and statistical power.
Start Your First Epidemiological Analysis
Ready to transform your epidemiological data analysis workflow? Here's how to get started with your first analysis in just a few minutes:
Quick Start Guide
Whether you're investigating an outbreak, evaluating a prevention program, or conducting research for publication, Sourcetable provides the statistical power and epidemiological expertise you need, accessible through a simple, intuitive interface.
Sourcetable Frequently Asked Questions
How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
Ready to Transform Your Epidemiological Analysis?
Join thousands of public health professionals using Sourcetable to make data-driven decisions faster and more accurately.