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Exposed to Disease or Infections

Work context · O*NET

Exposed to Disease or Infections is a work-context dimension in the O*NET database — one of the standardized conditions O*NET uses to describe the environment a job is done in , grouped under Physical Work Conditions. O*NET defines it by asking workers: "How often does this job require exposure to disease/infections?." It is rated for 892 occupations, which average 1.82 out of 5 (low relative to other context dimensions).

How it's measured

O*NET rates each occupation on this dimension on a 1–5 context-importance scale (the CX scale), where higher means the condition is a more frequent or more central part of the work. The figures on this page are those occupation-level ratings — a description of working conditions as workers report them, not a judgment about pay, difficulty, or whether a job is "good."

Economy-wide average 1.82 / 5 Mean across all 892 rated occupations
Range across occupations 1.00–5.00 Lowest to highest occupation rating (spread 4.00)
Intensity vs. other dimensions 17th pct Where this dimension's average ranks among all O*NET work-context dimensions

Occupations where it's highest

The occupations that rate this condition strongest on the 1–5 scale.

Occupation Rating Score
Acute Care Nurses 5.00
Critical Care Nurses 5.00
Emergency Medicine Physicians 5.00
General Internal Medicine Physicians 5.00
Pediatricians, General 4.99
Dental Hygienists 4.97
Oral and Maxillofacial Surgeons 4.97
Occupational Therapy Assistants 4.94
Urologists 4.94
Respiratory Therapists 4.90
Anesthesiologist Assistants 4.88
Radiologic Technologists and Technicians 4.88
Ophthalmologists, Except Pediatric 4.86
Orderlies 4.86
Nurse Anesthetists 4.85
Hospitalists 4.80
Dentists, General 4.78
Family Medicine Physicians 4.78
Nurse Practitioners 4.78
Radiation Therapists 4.78
Sports Medicine Physicians 4.77
Medical and Clinical Laboratory Technologists 4.74
Physician Assistants 4.72
Nuclear Medicine Technologists 4.70
Podiatrists 4.69

Occupations where it's lowest

The occupations that rate this condition weakest — where it is rarely part of the work.

Occupation Rating Score
Print Binding and Finishing Workers 1.00
Printing Press Operators 1.00
Producers and Directors 1.00
Pump Operators, Except Wellhead Pumpers 1.00
Rail Yard Engineers, Dinkey Operators, and Hostlers 1.00
Remote Sensing Technicians 1.00
Robotics Engineers 1.00
Sales Engineers 1.00
Search Marketing Strategists 1.00
Semiconductor Processing Technicians 1.00
Sewing Machine Operators 1.00
Shoe and Leather Workers and Repairers 1.00
Social Science Research Assistants 1.00
Solar Sales Representatives and Assessors 1.00
Special Effects Artists and Animators 1.00
Technical Writers 1.00
Telemarketers 1.00
Textile Cutting Machine Setters, Operators, and Tenders 1.00
Tool Grinders, Filers, and Sharpeners 1.00
Tool and Die Makers 1.00
Traffic Technicians 1.00
Transportation Planners 1.00
Video Game Designers 1.00
Web Administrators 1.00
Writers and Authors 1.00

How AI is used by roles where exposed to disease or infections is central

A working condition is not itself "being automated" — but we can look at the occupations where it is most central and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across the roles that rate this condition 3 or higher (CX-rating-weighted). 53.1% of the 143 occupations where this condition is present carry observed AI-usage data (76 roles).

Across those roles, 50.0% of AI conversations are people working with AI and 25.9% hand a task to AI , with an average autonomy of 3.60 / 5.

Collaboration pattern Share What it means
learning 33.2% you ask AI to explain or teach
directive 23.6% AI does it; you give the instruction
task iteration 15.1% you and AI go back and forth
feedback loop 2.2% AI does it, then adjusts from your feedback
validation 1.7% you do it; AI checks your work

Roles behind this signal

The occupations where this condition is most central and that also have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Condition (1–5) Works with AI Autonomy
Nursing Instructors and Teachers, Postsecondary 3.5 65.8% 3.8/5
Dietitians and Nutritionists 3.6 70.2% 4.0/5
Elementary School Teachers, Except Special Education 3.3 49.7% 4.0/5
Pharmacists 4.4 73.9% 3.5/5
Correctional Officers and Jailers 4.1 52.7% 3.0/5
Advanced Practice Psychiatric Nurses 3.4 66.7% 4.0/5
Nurse Practitioners 4.8 69.1% 4.0/5
Kindergarten Teachers, Except Special Education 3.7 54.5% 4.0/5
Midwives 4.1 68.8% 4.0/5
Exercise Physiologists 3.3 63.3% 4.0/5
Clinical Research Coordinators 3.4 26.5% 3.5/5
Clinical Nurse Specialists 4.6 55.2% 4.0/5

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. This is a role-weighted projection from AEI-linked occupations where this condition is central, not a direct measurement of AI use for the condition itself. Shares are weighted by how central the condition is to each role; some conversations are left unclassified by Anthropic's taxonomy, so shares need not sum to 100.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Exposed to Disease or Infections." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026. https://singulariki.com/work-context/exposed-to-disease-or-infections

APA

Singulariki. (2026). Exposed to Disease or Infections. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/work-context/exposed-to-disease-or-infections

BibTeX
@misc{singulariki-exposed-to-disease-or-infections,
  title  = {Exposed to Disease or Infections},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026},
  url    = {https://singulariki.com/work-context/exposed-to-disease-or-infections}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.