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AI Tools for Epidemiologists
AI tools that help epidemiologists search the public health literature, monitor disease outbreak data, find clinical trial evidence, access economic and demographic data, and compile surveillance reports.
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AuthorsJournalYear
Medema et al.Environ. Sci. & Tech. Lett.2020
Pecson et al.Water Research2021
Bivins et al.Nature Sustainability2020
Crits-Christoph et al.PNAS2021
218 papers · wastewater surveillance · since 2020
Epidemiology literature review
Search millions of peer-reviewed public health and epidemiology papers. Build systematic review reference lists, identify seminal cohort studies and meta-analyses, and track the evolution of evidence on risk factors, interventions, and disease burden.
Find the top systematic reviews and meta-analyses on cardiovascular disease risk in people with type 2 diabetes published since 2020.
Found 22 papers. Top result: "Cardiovascular outcomes across glucose-lowering drug classes in T2D: network meta-analysis" (Lancet, 2022, 718 citations). Returns journal, DOI, pooled risk estimates, and included study count for top 10.
ToolRouter search_papers
AuthorsJournalYear
Zelniker et al.Lancet2022
McGuire & ShihJAMA Cardiology2021
Bhatt et al.NEJM2020
Giugliano et al.Circulation2023
22 systematic reviews / meta-analyses · 2020–2024
Clinical trials evidence synthesis
Search ClinicalTrials.gov for interventional trials on disease prevention, screening programs, and public health interventions. Map the evidence base for systematic reviews, identify gaps in trial coverage, and track public health intervention studies.
Find completed and active randomized controlled trials studying community-based interventions for type 2 diabetes prevention in low- and middle-income countries.
Found 16 trials. Notable completed: IDPP-1 (India, 530 participants, lifestyle intervention 58% risk reduction), Da Qing 30-year follow-up results. Active: 2 trials in sub-Saharan Africa and 1 digital health intervention study in Southeast Asia recruiting now.
ToolRouter search_trials
TrialCountryN
IDPP-1India530
Da Qing 30yr follow-upChina577
Africa mHealth RCTKenya280
SEA Prevention StudyThailand420
16 trials · 6 active · 10 completed
Demographic and socioeconomic data analysis
Access US Census Bureau demographic data, FRED economic indicators, and population health statistics at zip code, county, or state level. Contextualize disease burden with socioeconomic determinants of health for surveillance reports and grant applications.
Get US Census data on poverty rates, median household income, and racial demographic composition for zip codes in the Mississippi Delta region for a health disparity study.
Retrieved data for 24 zip codes in the Mississippi Delta. Median poverty rate 29.4% (vs 12.6% national), median household income $31,200 (vs $74,580 national), majority Black/African American in 18/24 zip codes. Data includes confidence intervals and survey year.
ToolRouter search_census
CountyPoverty rateMedian hh income
Humphreys, MS38.4%$22,100
Quitman, MS41.2%$19,800
Leflore, MS36.8%$24,400
Sunflower, MS34.9%$25,100
24 zip codes · median poverty 29.4% vs 12.6% national
Disease transmission and study design diagrams
Generate labeled diagrams of transmission models, study designs (cohort, case-control, RCT), outbreak investigation flowcharts, and epidemiological curve structures for papers and teaching materials.
Draw a diagram showing the difference between cohort, case-control, and cross-sectional study designs with direction of inquiry and data collection timing.
Generated three-panel study design comparison: cohort (exposure → follow-up → outcome, prospective arrow), case-control (outcome identified → exposure history recalled retrospectively), cross-sectional (single time point measuring both exposure and outcome simultaneously). Includes relative strengths for each.
Deep research on public health topics
Compile multi-source synthesis reports on any infectious disease, chronic disease, or social determinant topic. Pull together evidence from surveillance data, clinical studies, and policy documents for briefings and grant applications.
Research the current global epidemiology of antimicrobial resistance — burden estimates, geographic hotspots, key pathogens driving mortality, and priority interventions.
Compiled 28-source report: IHME 2019 global AMR study estimated 1.27M deaths directly attributable to AMR; highest burden in sub-Saharan Africa and South Asia; E. coli, K. pneumoniae, S. aureus top mortality drivers; WHO GLASS surveillance gaps identified in LMICs; key interventions include stewardship programs and delayed prescribing policies.
ToolRouter research
Global Deaths (2019)
1.27M directly attributable — IHME
Highest Burden Regions
Sub-Saharan Africa & South Asia
Top Pathogens
E. coli, K. pneumoniae, S. aureus — top mortality drivers
WHO GLASS Surveillance
Coverage gaps in LMICs — data underrepresents burden
Priority Intervention
Stewardship programs + delayed prescribing protocols
Geopolitical and global disease monitoring
Monitor global disease events, conflict-related public health impacts, and political crises affecting disease surveillance systems. Understand geopolitical context for international epidemiology work.
What major geopolitical events in the past 30 days may be affecting health system capacity or disease surveillance in sub-Saharan Africa?
Found 8 relevant events: 3 conflict escalations (DRC eastern provinces, Sudan border areas), 1 political transition affecting health ministry leadership (Mali), 1 flood emergency displacing 200K (Mozambique) with cholera alert, and 2 vaccination campaign disruptions due to insecurity.
ToolRouter get_events
Mar 28
DRC — eastern conflict escalation, health facility access blocked
Mar 24
Mozambique — floods displace 200K, WASH alert issued
Mar 20
Mali — health ministry leadership transition announced
Mar 15
Sudan — border conflict disrupts cross-border vaccination campaign
Mar 10
DRC — cholera alert in North Kivu displacement camps
Ready-to-use prompts
Literature search
Find the top 15 papers on social determinants of health and cardiovascular disease disparities by race and socioeconomic status in the US published since 2020. Include journals and citation counts.
Clinical trial search
Search completed Phase 3 trials of COVID-19 vaccines that reported efficacy against severe disease and hospitalization. Include vaccine platform, trial size, and efficacy estimates.
Demographic data
Get US Census poverty rates, uninsured rates, and age distribution data for counties in Appalachia compared to the US national average.
Transmission diagram
Draw a labeled SEIR compartmental model diagram showing the transition rates between Susceptible, Exposed, Infectious, and Recovered states with beta, sigma, and gamma parameters labeled.
Research synthesis
Compile a report on the epidemiology of long COVID — prevalence estimates across studies, most common symptoms, risk factors, and proposed biological mechanisms.
Grant search
Find NIH grants for epidemiologists studying infectious disease surveillance, pandemic preparedness, or vaccine effectiveness. Include upcoming deadlines and award amounts.
Global disease events
Monitor major global public health events and disease outbreaks in the past 60 days — include affected regions, reported case counts, and WHO or CDC response status.
Find collaborators
Find public health researchers and epidemiologists at schools of public health in the US specializing in infectious disease surveillance and pandemic preparedness.
Tools to power your best work
Academic ResearchSearch papers, authors, citations
Deep ResearchAI research reports with citations
Diagram GeneratorRender Mermaid, PlantUML & more
Clinical TrialsClinical trials & drug safety data
Economic DataCensus, FRED, and labor stats
GeopoliticsGlobal conflict, defense news & sentiment analysis
Grants FinderFind grants, funding fits, and precedent
165+ tools.
One conversation.
Everything epidemiologists need from AI, connected to the assistant you already use. No extra apps, no switching tabs.
Systematic review preparation
Build the foundation for a systematic review by searching the literature, mapping the clinical trials evidence, and synthesizing the current state of evidence.
Health disparity research grant
Prepare a grant application on health disparities by combining demographic data, literature evidence, and a clear conceptual framework.
Outbreak investigation rapid review
When investigating a new outbreak, rapidly compile pathogen biology, prior outbreak data, and current clinical management evidence.
Frequently Asked Questions
Can Academic Research find grey literature and government reports for systematic reviews?
Academic Research focuses on indexed peer-reviewed publications. For grey literature like WHO reports, CDC MMWR, and government health data, Deep Research is more effective as it synthesizes from multiple web sources including official health agency publications.
How granular is the economic data for small area health analysis?
Economic Data provides US Census Bureau data down to zip code and Census tract level for demographic indicators, and FRED data for regional economic series. For small-area analysis, sample sizes in ACS estimates may result in wider confidence intervals — the data includes those uncertainty measures.
Can I use Clinical Trials to identify unpublished trial results?
ClinicalTrials.gov increasingly requires results reporting, so completed trials without publications often have summary results posted. The Clinical Trials tool retrieves both registration data and posted results summaries where available.
Does Deep Research cover WHO surveillance bulletins and ECDC reports?
Deep Research synthesizes from publicly accessible web sources including WHO situation reports, ECDC rapid risk assessments, and CDC MMWR. It works best for topics with publicly available surveillance documentation from official agencies.
Can diagram generator produce epidemiological network diagrams for outbreak clusters?
Diagram Generator can produce network and flowchart diagrams from text descriptions. For outbreak cluster networks with many nodes, specifying the key transmission links and cluster structure will produce a schematic representation. For large genomic epidemiology networks, dedicated phylogenetic tools are better suited.
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