Automation index
How much of a Epidemiologist’s job can AI already do?
A model and a mapped outbreak come earlier. Calling the measure and getting people to follow it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Epidemiologist
31%
AI can already do 31% of this job.
#34 / 623
View rankingEpidemiologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263
IS WORK OVER?
Aid worker
23%
#292 / 623
View rankingAid worker
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Forms, logframe and the indicators.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
The field, local partners and what the spreadsheet misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Donor reports and the paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Security, evacuation and the call to stay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Community, conflict and not replacing the local.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Do no harm and owning the project.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logframe
- field work
- justify projects
- local partners
- mission security
- aid indicators
- donor reports
- do no harm
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635